---
OA_place: repository
_id: '21360'
acknowledged_ssus:
- _id: LifeSc
- _id: Bio
acknowledgement: "I would like to acknowledge the Austrian Academy of Sciences (ÖAW)
  and European\r\nResearch Executive Agency (REA) for funding my research (DOC ÖAW
  Fellowship\r\n26130, Horizon Europe BOLERO Project 101060393). "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Stefan
  full_name: Riegler, Stefan
  id: FF6018E0-D806-11E9-8E43-0B14E6697425
  last_name: Riegler
  orcid: 0000-0003-3413-1343
citation:
  ama: 'Riegler S. Root system plasticity under nutrient limitation : Investigating
    hormonal and molecular drivers in Arabidopsis thaliana and Coffea  species. 2026.
    doi:<a href="https://doi.org/10.15479/AT-ISTA-21360">10.15479/AT-ISTA-21360</a>'
  apa: 'Riegler, S. (2026). <i>Root system plasticity under nutrient limitation :
    Investigating hormonal and molecular drivers in Arabidopsis thaliana and Coffea 
    species</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-21360">https://doi.org/10.15479/AT-ISTA-21360</a>'
  chicago: 'Riegler, Stefan. “Root System Plasticity under Nutrient Limitation : Investigating
    Hormonal and Molecular Drivers in Arabidopsis Thaliana and Coffea  Species.” Institute
    of Science and Technology Austria, 2026. <a href="https://doi.org/10.15479/AT-ISTA-21360">https://doi.org/10.15479/AT-ISTA-21360</a>.'
  ieee: 'S. Riegler, “Root system plasticity under nutrient limitation : Investigating
    hormonal and molecular drivers in Arabidopsis thaliana and Coffea  species,” Institute
    of Science and Technology Austria, 2026.'
  ista: 'Riegler S. 2026. Root system plasticity under nutrient limitation : Investigating
    hormonal and molecular drivers in Arabidopsis thaliana and Coffea  species. Institute
    of Science and Technology Austria.'
  mla: 'Riegler, Stefan. <i>Root System Plasticity under Nutrient Limitation : Investigating
    Hormonal and Molecular Drivers in Arabidopsis Thaliana and Coffea  Species</i>.
    Institute of Science and Technology Austria, 2026, doi:<a href="https://doi.org/10.15479/AT-ISTA-21360">10.15479/AT-ISTA-21360</a>.'
  short: 'S. Riegler, Root System Plasticity under Nutrient Limitation : Investigating
    Hormonal and Molecular Drivers in Arabidopsis Thaliana and Coffea  Species, Institute
    of Science and Technology Austria, 2026.'
corr_author: '1'
date_created: 2026-02-27T09:08:14Z
date_published: 2026-02-26T00:00:00Z
date_updated: 2026-03-09T12:20:56Z
day: '26'
ddc:
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degree_awarded: PhD
department:
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- _id: EvBe
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month: '02'
oa_version: Published Version
page: '185'
project:
- _id: 34afa094-11ca-11ed-8bc3-a375845a59fb
  grant_number: '101060393'
  name: Breeding for coffee and cocoa root resilience in low input farming systems
    based on improved rootstocks
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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  - id: '21363'
    relation: research_data
    status: public
status: public
supervisor:
- first_name: Eva
  full_name: Benková, Eva
  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
title: 'Root system plasticity under nutrient limitation : Investigating hormonal
  and molecular drivers in Arabidopsis thaliana and Coffea  species'
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...
---
OA_place: repository
_id: '21423'
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "Finally, I gratefully acknowledge funding from the DOC Fellowship
  of the Austrian Academy\r\nof Sciences (OeAW): grant agreement 26360."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Zuzana
  full_name: Dunajova, Zuzana
  id: 4B39F286-F248-11E8-B48F-1D18A9856A87
  last_name: Dunajova
citation:
  ama: Dunajova Z. Geometry-driven self-organization of migrating cells and chiral
    filaments. 2026. doi:<a href="https://doi.org/10.15479/AT-ISTA-21423">10.15479/AT-ISTA-21423</a>
  apa: Dunajova, Z. (2026). <i>Geometry-driven self-organization of migrating cells
    and chiral filaments</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-21423">https://doi.org/10.15479/AT-ISTA-21423</a>
  chicago: Dunajova, Zuzana. “Geometry-Driven Self-Organization of Migrating Cells
    and Chiral Filaments.” Institute of Science and Technology Austria, 2026. <a href="https://doi.org/10.15479/AT-ISTA-21423">https://doi.org/10.15479/AT-ISTA-21423</a>.
  ieee: Z. Dunajova, “Geometry-driven self-organization of migrating cells and chiral
    filaments,” Institute of Science and Technology Austria, 2026.
  ista: Dunajova Z. 2026. Geometry-driven self-organization of migrating cells and
    chiral filaments. Institute of Science and Technology Austria.
  mla: Dunajova, Zuzana. <i>Geometry-Driven Self-Organization of Migrating Cells and
    Chiral Filaments</i>. Institute of Science and Technology Austria, 2026, doi:<a
    href="https://doi.org/10.15479/AT-ISTA-21423">10.15479/AT-ISTA-21423</a>.
  short: Z. Dunajova, Geometry-Driven Self-Organization of Migrating Cells and Chiral
    Filaments, Institute of Science and Technology Austria, 2026.
corr_author: '1'
date_created: 2026-03-11T08:30:49Z
date_published: 2026-03-11T00:00:00Z
date_updated: 2026-03-18T14:11:35Z
day: '11'
ddc:
- '539'
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: EdHa
doi: 10.15479/AT-ISTA-21423
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  file_name: Thesis-Dunajova_source_file.docx
  file_size: 32961408
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file_date_updated: 2026-03-13T11:19:21Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '03'
oa_version: Published Version
page: '110'
project:
- _id: 34d75525-11ca-11ed-8bc3-89b6307fee9d
  grant_number: '26360'
  name: Motile active matter models of migrating cells and chiral filaments
publication_identifier:
  isbn:
  - 978-3-99078-076-3
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
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  - id: '21427'
    relation: part_of_dissertation
    status: public
  - id: '21439'
    relation: research_data
    status: public
status: public
supervisor:
- first_name: Edouard B
  full_name: Hannezo, Edouard B
  id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
  last_name: Hannezo
  orcid: 0000-0001-6005-1561
title: Geometry-driven self-organization of migrating cells and chiral filaments
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type: dissertation
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...
---
OA_place: repository
_id: '21393'
abstract:
- lang: eng
  text: "This thesis documents a voyage towards truth and beauty via formal verification
    of theorems. To this end, we develop libraries in Lean 4 that present definitions
    and results from diverse areas of MathematiCS (i.e., Mathematics and Computer
    Science). The aim is to create code that is understandable, believable, useful,
    and elegant. The code should stand for itself as much as possible without a need
    for documentation; however, this text redundantly documents our code artifacts
    and provides additional context that isn’t present in the code. This thesis is
    written for readers who know Lean 4 but are not familiar with any of the topics
    presented. We manifest truth and beauty in three formalized areas of MathematiCS.\r\n\r\nWe
    formalize general grammars in Lean 4 and use grammars to show closure of the class
    of type-0 languages under four operations; union, reversal, concatenation, and
    the Kleene star.\r\n\r\nOur second stop is the theory of optimization. Farkas
    established that a system of linear inequalities has a solution if and only if
    we cannot obtain a contradiction by taking a linear combination of the inequalities.
    We state and formally prove several Farkas-like theorems over linearly ordered
    fields in Lean 4. Furthermore, we extend duality theory to the case when some
    coefficients are allowed to take “infinite values”. Additionally, we develop the
    basics of the theory of optimization in terms of the framework called General-Valued
    Constraint Satisfaction Problems, and we prove that, if a Rational-Valued Constraint
    Satisfaction Problem template has symmetric fractional polymorphisms of all arities,
    then its basic LP relaxation is tight.\r\n\r\nOur third stop is matroid theory.
    Seymour’s decomposition theorem is a hallmark result in matroid theory, presenting
    a structural characterization of the class of regular matroids. We aim to formally
    verify Seymour’s theorem in Lean 4. First, we build a library for working with
    totally unimodular matrices. We define binary matroids and their standard representations,
    and we prove that they form a matroid in the sense how Mathlib defines matroids.
    We define regular matroids to be matroids for which there exists a full representation
    rational matrix that is totally unimodular, and we prove that all regular matroids
    are binary. We define 1-sum, 2-sum, and 3 sum of binary matroids as specific ways
    to compose their standard representation matrices. We prove that the 1-sum, the
    2-sum, and the 3-sum of regular matroids are a regular matroid, which concludes
    the composition direction of the Seymour’s theorem. The (more difficult) decomposition
    direction remains unproved.\r\n\r\nIn the pursuit of truth, we focus on identifying
    the trusted code in each project and presenting it faithfully. We emphasize the
    readability and believability of definitions rather than choosing definitions
    that are easier to work with. In search for beauty, we focus on the philosophical
    framework of Roger Scruton, who emphasizes that beauty is not a mere decoration
    but, most importantly, beauty is the means for shaping our place in the world
    and a source of redemption, where it can be viewed as a substitute for religion."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Martin
  full_name: Dvorak, Martin
  id: 40ED02A8-C8B4-11E9-A9C0-453BE6697425
  last_name: Dvorak
  orcid: 0000-0001-5293-214X
citation:
  ama: 'Dvorak M. Pursuit of truth and beauty in Lean 4 : Formally verified theory
    of grammars, optimization, matroids. 2026. doi:<a href="https://doi.org/10.15479/AT-ISTA-21393">10.15479/AT-ISTA-21393</a>'
  apa: 'Dvorak, M. (2026). <i>Pursuit of truth and beauty in Lean 4 : Formally verified
    theory of grammars, optimization, matroids</i>. Institute of Science and Technology
    Austria. <a href="https://doi.org/10.15479/AT-ISTA-21393">https://doi.org/10.15479/AT-ISTA-21393</a>'
  chicago: 'Dvorak, Martin. “Pursuit of Truth and Beauty in Lean 4 : Formally Verified
    Theory of Grammars, Optimization, Matroids.” Institute of Science and Technology
    Austria, 2026. <a href="https://doi.org/10.15479/AT-ISTA-21393">https://doi.org/10.15479/AT-ISTA-21393</a>.'
  ieee: 'M. Dvorak, “Pursuit of truth and beauty in Lean 4 : Formally verified theory
    of grammars, optimization, matroids,” Institute of Science and Technology Austria,
    2026.'
  ista: 'Dvorak M. 2026. Pursuit of truth and beauty in Lean 4 : Formally verified
    theory of grammars, optimization, matroids. Institute of Science and Technology
    Austria.'
  mla: 'Dvorak, Martin. <i>Pursuit of Truth and Beauty in Lean 4 : Formally Verified
    Theory of Grammars, Optimization, Matroids</i>. Institute of Science and Technology
    Austria, 2026, doi:<a href="https://doi.org/10.15479/AT-ISTA-21393">10.15479/AT-ISTA-21393</a>.'
  short: 'M. Dvorak, Pursuit of Truth and Beauty in Lean 4 : Formally Verified Theory
    of Grammars, Optimization, Matroids, Institute of Science and Technology Austria,
    2026.'
corr_author: '1'
date_created: 2026-03-04T09:26:46Z
date_published: 2026-03-04T00:00:00Z
date_updated: 2026-03-27T12:37:00Z
day: '04'
ddc:
- '511'
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: VlKo
doi: 10.15479/AT-ISTA-21393
file:
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  creator: mdvorak
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file_date_updated: 2026-03-04T09:03:37Z
has_accepted_license: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: '160'
publication_identifier:
  isbn:
  - 978-3-99078-074-9
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  link:
  - description: Full version of all definitions, statements, and proofs for Chapter
      3.1 (Linear duality)
    relation: software
    url: https://github.com/madvorak/duality/tree/v3.5.0
  - description: Full version of all definitions, statements, and proofs for Chapter
      3.2 (Valued Constraint Satisfaction Problems)
    relation: software
    url: https://github.com/madvorak/vcsp/tree/v8.2.0
  - description: Full version of all definitions, statements, and proofs for Chapter
      4 (Seymour project)
    relation: software
    url: https://github.com/Ivan-Sergeyev/seymour/tree/v1.2.0
  - description: Full version of all definitions, statements, and proofs for Chapter
      5 (Theory of grammars)
    relation: software
    url: https://github.com/madvorak/chomsky/tree/v1.2.0
  - description: Old version (Lean 3) of the project about grammars
    relation: software
    url: https://github.com/madvorak/grammars
  - description: Demonstration of (minimal) requirements for selected algebraic classes
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    url: https://github.com/madvorak/preliminaries/blob/main/Preliminaries.lean
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status: public
supervisor:
- first_name: Vladimir
  full_name: Kolmogorov, Vladimir
  id: 3D50B0BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kolmogorov
- first_name: Jasmin
  full_name: Blanchette, Jasmin
  last_name: Blanchette
title: 'Pursuit of truth and beauty in Lean 4 : Formally verified theory of grammars,
  optimization, matroids'
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  short: CC BY (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2026'
...
---
OA_place: publisher
_id: '21198'
abstract:
- lang: eng
  text: "In recent years there has been a massive increase in the amount of data generated
    in a\r\ndecentralized manner. Ever more powerful edge devices, such as smartphones,
    have become\r\nubiquitous in most societies on earth. Through text typed, photos
    taken and apps used,\r\nthese devices, which we refer to as clients, generate
    enormous amounts of high quality and\r\ncomplex data. Moreover, the nature of
    these devices means the data they generate is often\r\nsensitive and privacy concerns
    prevent it being gathered and stored in a central location. This\r\npresents a
    challenge to the modern machine learning paradigm that requires central access\r\nto
    large amounts of data. Federated learning (FL) has emerged as one of the answers
    to\r\nthis problem. Rather than bringing the data to the model, FL sends the model
    to the data.\r\nModel training takes place on device, with periodically synchronized
    updates, allowing data to\r\nremain locally stored. While this approach offers
    significant privacy advantages it comes with\r\nits own set of unique challenges.
    These include: data heterogeneity, the notion that different\r\ndevices generate
    data in distinct ways which can negatively impact training dynamics; systems\r\nheterogeneity,
    meaning that different devices may have differing hardware specifications; high\r\ncommunication
    costs, which are induced by the repeated transferring of models over the\r\nnetwork
    and low device computational power, which limits the use of larger models on device.\r\nIn
    this thesis we present a range of methods for federated learning. We focus primarily
    on\r\nthe challenge of data heterogeneity, though the methods presented are designed
    to be well\r\nadapted to the other challenges of a federated setting, such as
    the constraints of limited\r\ncompute and communication overhead. We first present
    a method for explicitly modeling client\r\ndata heterogeneity. The approach formulates
    clients as samples from a certain probability\r\ndistribution and infers the parameters
    of this distribution from the available training clients.\r\nThis learned distribution
    then represents the heterogeneity present among the clients and can\r\nbe sampled
    from in order to create new simulated clients that are similar to the real clients
    we\r\nhave observed so far. Following this we present two methods for directly
    dealing with data\r\nheterogeneity through personalization. Highly heterogeneous
    client data distributions can mean\r\nthat learning a single global model becomes
    suboptimal, and some form of personalization of\r\nmodels to each individual client
    is required. Our approaches are based around hypernetworks,\r\nwhich we use to
    generate personalized model parameters without the need for additional\r\ntraining
    or finetuning. In the first approach we focus on generating full parameterizations
    of\r\nclient models using learned embeddings of client data and labels, with a
    hypernetwork located\r\non the central server. In the second approach we address
    the more challenging scenario where\r\nwe want to generate a personalized model
    for a client without any label information. The\r\nhypernetwork is trained to
    generate a low dimensional representation of a client’s personalized\r\nmodel
    parameters, allowing it to be transferred to and run on the client devices. In
    our final\r\npresented method, we change our focus and rather than aim to directly
    address the challenge\r\nof data heterogeneity, we instead ensure we are unaffected
    by it. This is done in the context\r\nof k-means clustering and we present a method
    for federated clustering with a focus on added\r\nprivacy guarantees."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "This research was funded in part by the Austrian Science Fund (FWF)\r\n[10.55776/COE12].
  Furthermore, the candidate acknowledges the support from the Scientific\r\nService
  Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp)."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jonathan A
  full_name: Scott, Jonathan A
  id: e499926b-f6e0-11ea-865d-9c63db0031e8
  last_name: Scott
citation:
  ama: Scott JA. Data heterogeneity and personalization in federated learning. 2026.
    doi:<a href="https://doi.org/10.15479/AT-ISTA-21198">10.15479/AT-ISTA-21198</a>
  apa: Scott, J. A. (2026). <i>Data heterogeneity and personalization in federated
    learning</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-21198">https://doi.org/10.15479/AT-ISTA-21198</a>
  chicago: Scott, Jonathan A. “Data Heterogeneity and Personalization in Federated
    Learning.” Institute of Science and Technology Austria, 2026. <a href="https://doi.org/10.15479/AT-ISTA-21198">https://doi.org/10.15479/AT-ISTA-21198</a>.
  ieee: J. A. Scott, “Data heterogeneity and personalization in federated learning,”
    Institute of Science and Technology Austria, 2026.
  ista: Scott JA. 2026. Data heterogeneity and personalization in federated learning.
    Institute of Science and Technology Austria.
  mla: Scott, Jonathan A. <i>Data Heterogeneity and Personalization in Federated Learning</i>.
    Institute of Science and Technology Austria, 2026, doi:<a href="https://doi.org/10.15479/AT-ISTA-21198">10.15479/AT-ISTA-21198</a>.
  short: J.A. Scott, Data Heterogeneity and Personalization in Federated Learning,
    Institute of Science and Technology Austria, 2026.
corr_author: '1'
date_created: 2026-02-09T14:59:53Z
date_published: 2026-02-09T00:00:00Z
date_updated: 2026-04-07T11:46:11Z
day: '09'
ddc:
- '005'
degree_awarded: PhD
department:
- _id: GradSch
- _id: ChLa
doi: 10.15479/AT-ISTA-21198
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  creator: jscott
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  date_updated: 2026-02-17T11:46:22Z
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supervisor:
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
title: Data heterogeneity and personalization in federated learning
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2026'
...
---
OA_place: publisher
_id: '21021'
abstract:
- lang: eng
  text: This thesis examines how geometry and topology intersect in the representation,
    transformation, and analysis of complex shapes. It considers how continuous manifolds
    relate to their discrete analogues, how topological structures evolve in persistence
    vineyards, and how tools from topological data analysis can illuminate problems
    in mathematical physics. Central to this exploration is the question of how structure,
    both geometric and topological, persists or changes under approximation, sampling,
    or deformation. The work develops new approaches to skeletal and grid-based representations
    of surfaces, reveals the full expressive capacity of persistence vineyards, and
    applies topological methods to the longstanding problem of equilibria in electrostatic
    fields. These threads braid together into a broader understanding of how topology
    and geometry inform one another across theory, computation, and application.
acknowledged_ssus:
- _id: M-Shop
- _id: ScienComp
acknowledgement: "The research presented in this thesis was funded by the DFG Collaborative
  Research\r\nCenter TRR 109, ‘Discretization in Geometry and Dynamics’.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Christopher D
  full_name: Fillmore, Christopher D
  id: 35638A5C-AAC7-11E9-B0BF-5503E6697425
  last_name: Fillmore
citation:
  ama: Fillmore CD. Braiding geometry and topology to study shapes and data. 2026.
    doi:<a href="https://doi.org/10.15479/AT-ISTA-21021">10.15479/AT-ISTA-21021</a>
  apa: Fillmore, C. D. (2026). <i>Braiding geometry and topology to study shapes and
    data</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-21021">https://doi.org/10.15479/AT-ISTA-21021</a>
  chicago: Fillmore, Christopher D. “Braiding Geometry and Topology to Study Shapes
    and Data.” Institute of Science and Technology Austria, 2026. <a href="https://doi.org/10.15479/AT-ISTA-21021">https://doi.org/10.15479/AT-ISTA-21021</a>.
  ieee: C. D. Fillmore, “Braiding geometry and topology to study shapes and data,”
    Institute of Science and Technology Austria, 2026.
  ista: Fillmore CD. 2026. Braiding geometry and topology to study shapes and data.
    Institute of Science and Technology Austria.
  mla: Fillmore, Christopher D. <i>Braiding Geometry and Topology to Study Shapes
    and Data</i>. Institute of Science and Technology Austria, 2026, doi:<a href="https://doi.org/10.15479/AT-ISTA-21021">10.15479/AT-ISTA-21021</a>.
  short: C.D. Fillmore, Braiding Geometry and Topology to Study Shapes and Data, Institute
    of Science and Technology Austria, 2026.
corr_author: '1'
date_created: 2026-01-20T21:38:40Z
date_published: 2026-01-21T00:00:00Z
date_updated: 2026-04-07T11:42:49Z
day: '21'
ddc:
- '514'
- '516'
degree_awarded: PhD
department:
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- _id: HeEd
- _id: UlWa
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status: public
supervisor:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
- first_name: Uli
  full_name: Wagner, Uli
  id: 36690CA2-F248-11E8-B48F-1D18A9856A87
  last_name: Wagner
  orcid: 0000-0002-1494-0568
title: Braiding geometry and topology to study shapes and data
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abstract:
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  text: "Blockchains enable distributed consensus in permissionless settings, where
    participants\r\nare unknown, dynamically changing, and do not trust each other.
    While Bitcoin,\r\nbased on Proof-of-Work (PoW), was the first protocol in this
    model, significant\r\nresearch has focused on permissionless protocols using alternative
    physical resources,\r\nspecifically Proof-of-Space (PoSpace) and Verifiable Delay
    Functions (VDFs). This\r\nthesis investigates the theoretical limits and design
    space of longest-chain protocols in\r\nthe fully permissionless and dynamically
    available settings using these three resources.\r\nFirst, we address the feasibility
    of blockchains relying solely on storage as a resource.\r\nWe prove a fundamental
    impossibility result: there exists no secure longest-chain\r\nprotocol based exclusively
    on Proof-of-Space in the fully permissionless or dynamically\r\navailable settings.
    Further, we quantify the adversarial capabilities required to execute\r\na double-spend
    attack. Our result formally justifies the necessity of coupling PoSpace\r\nwith
    time-dependent primitives (such as VDFs) or to move to less permissive settings\r\n(quasi-permissionless
    or permissioned) to ensure security.\r\nSecond, we generalize Nakamoto-like heaviest
    chain consensus to protocols utilizing\r\ncombinations of multiple physical resources.
    We analyze chain selection rules governed\r\nby a weight function Γ(S, V,W), which
    assigns weight to blocks based on recorded\r\nSpace (S), VDF speed (V ), and Work
    (W). We provide a complete classification\r\nof secure weight functions, proving
    that a weight function is secure against private\r\ndouble-spend attacks if and
    only if it is homogeneous in the timed resources (V,W)\r\nand sub-homogeneous
    in S. This framework unifies existing protocols like Bitcoin and\r\nChia under
    a single theoretical model and provides a powerful tool for designing new\r\nlongest-chain
    blockchains from a mix of physical resources."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Mirza Ahad
  full_name: Baig, Mirza Ahad
  id: 3EDE6DE4-AA5A-11E9-986D-341CE6697425
  last_name: Baig
citation:
  ama: Baig MA. On secure chain selection rules from physical resources in a permissionless
    setting. 2026. doi:<a href="https://doi.org/10.15479/AT-ISTA-21651">10.15479/AT-ISTA-21651</a>
  apa: Baig, M. A. (2026). <i>On secure chain selection rules from physical resources
    in a permissionless setting</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/AT-ISTA-21651">https://doi.org/10.15479/AT-ISTA-21651</a>
  chicago: Baig, Mirza Ahad. “On Secure Chain Selection Rules from Physical Resources
    in a Permissionless Setting.” Institute of Science and Technology Austria, 2026.
    <a href="https://doi.org/10.15479/AT-ISTA-21651">https://doi.org/10.15479/AT-ISTA-21651</a>.
  ieee: M. A. Baig, “On secure chain selection rules from physical resources in a
    permissionless setting,” Institute of Science and Technology Austria, 2026.
  ista: Baig MA. 2026. On secure chain selection rules from physical resources in
    a permissionless setting. Institute of Science and Technology Austria.
  mla: Baig, Mirza Ahad. <i>On Secure Chain Selection Rules from Physical Resources
    in a Permissionless Setting</i>. Institute of Science and Technology Austria,
    2026, doi:<a href="https://doi.org/10.15479/AT-ISTA-21651">10.15479/AT-ISTA-21651</a>.
  short: M.A. Baig, On Secure Chain Selection Rules from Physical Resources in a Permissionless
    Setting, Institute of Science and Technology Austria, 2026.
corr_author: '1'
date_created: 2026-04-02T09:31:34Z
date_published: 2026-03-04T00:00:00Z
date_updated: 2026-04-15T08:45:19Z
day: '04'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: KrPi
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supervisor:
- first_name: Krzysztof Z
  full_name: Pietrzak, Krzysztof Z
  id: 3E04A7AA-F248-11E8-B48F-1D18A9856A87
  last_name: Pietrzak
  orcid: 0000-0002-9139-1654
title: On secure chain selection rules from physical resources in a permissionless
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OA_place: publisher
_id: '20991'
abstract:
- lang: eng
  text: "Rapid local adaptation to new environments is critical for species persistence,
    especially in introduced populations. The evolutionary success of these populations
    is fundamentally dictated by the organization of genetic variation—the genomic
    architecture—in the face of severe demographic constraints, such as the founder
    effects and genetic bottlenecks that frequently accompany colonization. A central
    question in evolutionary biology is whether rapid adaptation relies on major-effect
    loci, such as chromosomal inversions, or on many small-effect loci dispersed across
    the genome. Furthermore, the genomic architecture strongly influences the extent
    to which evolutionary outcomes are predictable. Using introduced populations of
    the marine snail, Littorina saxatilis, as a model, this thesis investigates how
    genetic variation and genomic structure drive adaptation following introduction.
    We employed a population genomics approach on experimentally and accidentally
    introduced populations to dissect the specific genomic features that underpin
    divergence in newly colonized environments.\r\n\r\nIn Chapter 2, we tested the
    predictability of local adaptation through an uncommon 30-year transplant experiment
    in nature. By distinguishing allele and chromosomal inversion frequency changes
    from neutral expectations, we found that evolutionary change was highly predictable
    at the macro-scale (phenotypes and chromosomal inversions), but less robust at
    the level of individual collinear loci. This result demonstrates that evolution
    can be predictable when a population possesses sufficient standing genetic variation
    (SGV), with chromosomal inversions acting as key integrated units that facilitate
    a rapid response to selection. Building on this, Chapter 3 applied whole-genome
    sequencing to three accidentally introduced populations (Venice, San Francisco,
    and Redwood City) to investigate their likely source and genomic patterns of divergence.
    We identified genomic regions of remarkable divergence potentially associated
    with local adaptation, and likely fuelled by SGV, while explicitly acknowledging
    the difficulty in disentangling selection signals from the genome-wide effects
    of demographic processes. Furthermore, we found that the divergence patterns relied
    extensively on the collinear genome in these introduced populations, and less
    clearly on the chromosomal inversions. This observation contrasts with local adaptation
    observed in the experimental system that relied on both collinear loci and highly
    selected chromosomal inversions, highlighting how demographic history and genomic
    architecture influence the detectable signature of local adaptation.\r\n\r\nA
    major limitation to conducting large-scale comparative evolutionary studies is
    the lack of data standardization, which prevents the integration of community
    knowledge and high-resolution environmental and genetic data. Chapter 4 addresses
    this by developing a community database for the Littorina system. This platform
    implements standardized protocols for the integration of diverse phenotypic and
    environmental data from multiple Littorina species. Likewise, the platform also
    centralizes the availability of associated genomic data through links to external
    repositories. This database represents a crucial tool to test complex, large-scale
    evolutionary hypotheses.\r\n\r\nCollectively, this thesis strongly reinforces
    the fundamental importance of SGV as the raw material for successful local adaptation,
    a conclusion supported by evidence in both experimental and accidental introductions.
    Furthermore, this work highlights the critical role of the genomic architecture—specifically
    chromosomal inversions—in driving the predictability and effectiveness of adaptive
    responses. Our findings underscore how the interplay between SGV and genomic architecture
    dictates the trajectory and detectability of evolution in colonizing populations,
    while simultaneously providing a necessary tool to advance comparative evolutionary
    genomics in emerging model organisms."
acknowledgement: "I acknowledge the funding agencies 1Norwegian Research Council RCN
  project 315287.\r\n2The FIASCO project \"Illuminating range shifts through evolutionary
  FIASCO: contrasting\r\nFaIling And Successful ColOnizations in replicated wild populations\",
  funded by the\r\nEuropean Union - Next Generation EU (Piano Nazionale di Ripresa
  e Resilienza - MUR\r\ncode: P202229JBC, CUP: C53D23007100001). 3Ecotypic formation
  in Littorina saxatilis\r\nin the Western Atlantic and comparisons across the North
  Atlantic. University of\r\nGothenburg Research Travel Grant, Tjarno Marine Laboratory,
  Sweden. $3023 (2018).\r\n4JIN project (Young Researchers, Spanish Ministry of Science,
  RTI2018-101274-J-I00)"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Diego Fernando
  full_name: Garcia Castillo, Diego Fernando
  id: ae681a14-dc74-11ea-a0a7-c6ef18161701
  last_name: Garcia Castillo
citation:
  ama: Garcia Castillo DF. The genomic architecture of local adaptation in introduced
    populations. 2026. doi:<a href="https://doi.org/10.15479/AT-ISTA-20991">10.15479/AT-ISTA-20991</a>
  apa: Garcia Castillo, D. F. (2026). <i>The genomic architecture of local adaptation
    in introduced populations</i>. Institute of Science and Technology Austria. <a
    href="https://doi.org/10.15479/AT-ISTA-20991">https://doi.org/10.15479/AT-ISTA-20991</a>
  chicago: Garcia Castillo, Diego Fernando. “The Genomic Architecture of Local Adaptation
    in Introduced Populations.” Institute of Science and Technology Austria, 2026.
    <a href="https://doi.org/10.15479/AT-ISTA-20991">https://doi.org/10.15479/AT-ISTA-20991</a>.
  ieee: D. F. Garcia Castillo, “The genomic architecture of local adaptation in introduced
    populations,” Institute of Science and Technology Austria, 2026.
  ista: Garcia Castillo DF. 2026. The genomic architecture of local adaptation in
    introduced populations. Institute of Science and Technology Austria.
  mla: Garcia Castillo, Diego Fernando. <i>The Genomic Architecture of Local Adaptation
    in Introduced Populations</i>. Institute of Science and Technology Austria, 2026,
    doi:<a href="https://doi.org/10.15479/AT-ISTA-20991">10.15479/AT-ISTA-20991</a>.
  short: D.F. Garcia Castillo, The Genomic Architecture of Local Adaptation in Introduced
    Populations, Institute of Science and Technology Austria, 2026.
corr_author: '1'
date_created: 2026-01-16T09:47:59Z
date_published: 2026-01-16T00:00:00Z
date_updated: 2026-04-16T12:20:37Z
day: '16'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/AT-ISTA-20991
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  file_size: 732
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language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: '199'
publication_identifier:
  isbn:
  - 978-3-99078-077-0
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
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supervisor:
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
- first_name: Anja M
  full_name: Westram, Anja M
  id: 3C147470-F248-11E8-B48F-1D18A9856A87
  last_name: Westram
  orcid: 0000-0003-1050-4969
title: The genomic architecture of local adaptation in introduced populations
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...
---
OA_place: publisher
_id: '19684'
abstract:
- lang: eng
  text: "The overarching goal of this thesis is to break down the complexity of turbulent
    flows in terms of enumerable, coherent structures and patterns. In a five-paper
    series, we adopt a variety of perspectives and techniques to relate the properties
    of systems of increasing complexity to their underlying coherent structures. \r\n\r\nInitially,
    we take a dynamical systems point of view, seeing turbulent flow as a chaotic
    trajectory bouncing between exact unstable solutions of the underlying equations
    of motion. Using persistent homology, the main tool of topological data analysis
    capturing the persistence across scales of topological features in a point cloud,
    we introduce a method that quantifies visits of turbulent trajectories to unstable
    time-periodic solutions, also called periodic orbits. We demonstrate this method
    first in the Rössler and Kuramoto–Sivashinsky systems. Using this method in 3D
    Kolmogorov flow, we extract a Markov chain from turbulent data, where each node
    corresponds to the neighbourhood of a periodic orbit. The invariant distribution
    of this Markov chain reproduces expectation values on turbulent data when it is
    used to weight averages on the respective periodic orbits.\r\n\r\nIn more realistic,
    wall-bounded settings, such as plane-Couette flow (pcf) driven by the relative
    motion of the walls, or plane-Poiseuille flow (ppf) driven by a pressure gradient,
    finding exact solutions is difficult. We use dynamic mode decomposition (DMD),
    a dimensionality reduction method for sequential data, to identify and approximate
    low-dimensional dynamics without knowing any exact solutions. Most spatially-extended
    systems are equivariant under translations, and in such cases spatial drifts dominate
    DMD, hindering its use in the search for and modelling of low-dimensional dynamics.
    We augment DMD with a symmetry reduction method trained on turbulent data to stop
    it from seeing translations as a feature, improving its ability to extract dynamical
    information in translation-equivariant systems. We find segments of turbulent
    trajectories that linearize well with their symmetry-reduced DMD spectra, akin
    to dynamics near exact solutions. Searching for harmonics in the spectra gives
    leads for periodic orbits with spatial drifts, one of which converges to a new
    solution.\r\n\r\nIn larger domains, turbulence can localize and coexist with surrounding
    laminar flow. Our preceding approaches are global, taking all of a domain into
    account at once, and cannot readily treat each localized patch individually. Working
    first in a minimal oblique domain that can host a single 1D-localized turbulent
    patch, we find that turbulence in ppf is connected to a stable periodic orbit
    at a flow velocity much lower than when turbulence is first onset. We show that,
    well in advance of sustained turbulence, chaos sets in explosively, and for long
    time horizons, time series are consistent with that of a random process.\r\n\r\nFinally,
    in much larger domains, we study and compare 2D-localized turbulence that appears
    as large-scale inclined structures, called stripes, in ppf and pcf. While appearing
    similar, we find that stripes in these two settings differ significantly in terms
    of how they sustain themselves, and in higher velocities, how they proliferate."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "The work in this thesis was supported by a grant from the Simons
  Foundation (662960, BH).\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Gökhan
  full_name: Yalniz, Gökhan
  id: 66E74FA2-D8BF-11E9-8249-8DE2E5697425
  last_name: Yalniz
  orcid: 0000-0002-8490-9312
citation:
  ama: 'Yalniz G. Transition to turbulence : Data-, solution-, and pattern-driven
    approaches. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-19684">10.15479/AT-ISTA-19684</a>'
  apa: 'Yalniz, G. (2025). <i>Transition to turbulence : Data-, solution-, and pattern-driven
    approaches</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-19684">https://doi.org/10.15479/AT-ISTA-19684</a>'
  chicago: 'Yalniz, Gökhan. “Transition to Turbulence : Data-, Solution-, and Pattern-Driven
    Approaches.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-19684">https://doi.org/10.15479/AT-ISTA-19684</a>.'
  ieee: 'G. Yalniz, “Transition to turbulence : Data-, solution-, and pattern-driven
    approaches,” Institute of Science and Technology Austria, 2025.'
  ista: 'Yalniz G. 2025. Transition to turbulence : Data-, solution-, and pattern-driven
    approaches. Institute of Science and Technology Austria.'
  mla: 'Yalniz, Gökhan. <i>Transition to Turbulence : Data-, Solution-, and Pattern-Driven
    Approaches</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-19684">10.15479/AT-ISTA-19684</a>.'
  short: 'G. Yalniz, Transition to Turbulence : Data-, Solution-, and Pattern-Driven
    Approaches, Institute of Science and Technology Austria, 2025.'
corr_author: '1'
date_created: 2025-05-12T15:12:28Z
date_published: 2025-05-13T00:00:00Z
date_updated: 2026-04-07T11:47:06Z
day: '13'
ddc:
- '514'
- '519'
- '532'
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degree_awarded: PhD
department:
- _id: GradSch
- _id: BjHo
doi: 10.15479/AT-ISTA-19684
file:
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  creator: gyalniz
  date_created: 2025-05-12T15:15:59Z
  date_updated: 2025-05-12T15:43:28Z
  description: '3D visualizations of the turbulent flow (left) and the periodic orbits
    (middle) that are being shadowed along with the local state space projections
    (right) onto the principal components of the respective periodic orbit. Shown
    here are the isosurfaces of velocity (red/blue: ±95% of the instantaneous maximum)
    and vorticity (purple/green: ±65% of the instantaneous maximum) in the x-direction.
    Markers along the projections are in sync with the 3D visualizations. The movie
    corresponds to the initial time interval (up to t = 100) of figure 2.2 (a,b);
    periodic orbits and the state space projections are shown only through the shadowing
    events indicated in figure 2.2 (b).'
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  date_created: 2025-05-12T15:16:09Z
  date_updated: 2025-05-12T15:43:28Z
  description: 'Turbulent flow (left) in HKW domain and its symmetry reduction (right).
    Shown here are the isosurfaces of streamwise velocity (red/blue: u = 0.5 max/min
    u) and streamwise vorticity (green/purple: ω_x = 0.5 max/min ω_x).'
  file_id: '19687'
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  date_created: 2025-05-12T15:16:21Z
  date_updated: 2025-05-12T15:43:28Z
  description: 'Turbulent flow (left) in P2K domain and its symmetry reduction (right).
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    u) and streamwise vorticity (green/purple: ω_x = 0.5 max/min ω_x).'
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  date_updated: 2025-05-12T15:43:28Z
  description: 'Relative periodic orbit RPO_79.4 (left) of the plane-Couette flow
    (HKW domain) and its symmetry reduction (right). Shown here are the isosurfaces
    of streamwise velocity (red/blue: u = 0.5 max/min u) and streamwise vorticity
    (green/purple: ω_x = 0.5 max/min ω_x).'
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  creator: gyalniz
  date_created: 2025-05-12T15:16:50Z
  date_updated: 2025-05-12T15:43:28Z
  description: 'Symmetry-reduced flow (left), its SRDMD approximation (middle), and
    state space projection (right) showing the spiral-out episode in P2K domain (figure
    3.6 (b) and figure 3.8 (b)). Shown here are the isosurfaces of streamwise velocity
    (red/blue: u = 0.5 max/min u) and streamwise vorticity (green/purple: ω_x = 0.5
    max/min ω_x).'
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  creator: gyalniz
  date_created: 2025-05-12T15:17:11Z
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  description: Movie demonstrating the quasi-steady Reynolds number descent from turbulence
    to a periodic orbit.
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  content_type: video/mp4
  creator: gyalniz
  date_created: 2025-05-12T15:17:43Z
  date_updated: 2025-05-12T15:43:28Z
  description: Streamwise velocity fluctuations (from laminar) of plane-Couette flow
    (Re^C =335) at the y = 0 wall-normal plane in coordinates stationary with respect
    to the bulk velocity. Here, x is the streamwise direction (the wall at y = 1 moves
    to the right) and z is the spanwise direction. Time is in advectime time units.
    Shown is the full (L_x = L_z = 400) domain.
  file_id: '19692'
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  date_updated: 2025-05-12T15:43:28Z
  description: Streamwise velocity fluctuations (from laminar) of plane-Poiseuille
    flow (Re^P =660) at the y = 0.5 wall-normal plane in coordinates stationary with
    respect to the bulk velocity. Here, x is the streamwise direction (the mean negative
    pressure gradient is to the right) and z is the spanwise direction. Time is in
    advectime time units. Shown is the full (L_x = L_z = 400) domain.
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  content_type: video/mp4
  creator: gyalniz
  date_created: 2025-05-12T15:17:58Z
  date_updated: 2025-05-12T15:43:28Z
  description: Streamwise velocity fluctuations (from laminar) of plane-Poiseuille
    flow (Re^P=660) at the y = 0.5 wall-normal plane in coordinates stationary with
    respect to the average velocity of the downstream tip of the stripe. Here, x is
    the streamwise direction (the mean negative pressure gradient is to the right)
    and z is the spanwise direction. Time is in advectime time units. Shown is a zoom-in
    of the full (L_x = L_z) domain.
  file_id: '19694'
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project:
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publication_identifier:
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publisher: Institute of Science and Technology Austria
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status: public
supervisor:
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  full_name: Hof, Björn
  id: 3A374330-F248-11E8-B48F-1D18A9856A87
  last_name: Hof
  orcid: 0000-0003-2057-2754
title: 'Transition to turbulence : Data-, solution-, and pattern-driven approaches'
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
_id: '18979'
abstract:
- lang: eng
  text: "Topological Data Analysis (TDA) is a discipline utilizing the mathematical
    field of topology to study data, most prominently collections of point sets. This
    thesis summarizes three projects related to computations in TDA.\r\n\r\nThe first
    one establishes a variant of TDA for chromatic point sets, where each point is
    given a color. For example, we are given positions of cells within a tumor microenvironment,
    and color the cancerous cells red, and the immune cells blue.\r\n\r\nThe aim is
    then to give a quantitative description of how the two or more sets of points
    spatially interact. Building on image, kernel and cokernel variants of persistent
    homology, we suggest six-packs of persistent diagrams as such a descriptor.\r\n\r\nWe
    describe a construction of a chromatic alpha complex, which enables  efficient
    computation of several variants of the six-packs. We give topological descriptions
    of natural subcomplexes of the chromatic alpha complex, and show that the radii
    of the simplices form a discrete Morse function. Finally, we provide an implementation
    of the presented chromatic TDA pipeline.\r\n\r\nThe second part aims to translate
    a powerful tool of sheaf theory to elementary terms using labeled matrices. The
    goal is to enable their use in computational settings. We show that derived categories
    of sheaves over finite posets have, up to isomorphism, unique objects---minimal
    injective resolutions---and give a concrete algorithm to compute them. We further
    describe simple algorithms to compute derived pushforwards and pullbacks for monotonic
    maps, and their proper variants for inclusions, and demonstrate their tractability
    by providing an implementation. Finally, we suggest a discrete definition of microsupport
    and show desirable properties inspired by discrete Morse theory.\r\n\r\nIn the
    last part, we present a collection of observations about collapses. We give a
    characterization of collapsibility in terms of unitriangular submatrices of the
    boundary matrix, a cotree-tree decomposition, and the optimal solution to a variant
    of the Procrustes problem. We establish relation between dual collapses and relative
    Morse theory and pose several open questions. Finally, focusing on complexes embedded
    in the three-dimensional Euclidean space, we describe a relation between the collapsibility
    and the triviality of a polygonal knot."
acknowledgement: "The research presented in this thesis was funded with the Wittgenstein
  Prize,\r\nAustrian Science Fund (FWF), grant no. Z 342-N31, and from the DFG Collaborative
  Research\r\nCenter TRR 109, ‘Discretization in Geometry and Dynamics’, Austrian
  Science Fund (FWF),\r\ngrant no. I 02979-N35.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Ondrej
  full_name: Draganov, Ondrej
  id: 2B23F01E-F248-11E8-B48F-1D18A9856A87
  last_name: Draganov
  orcid: 0000-0003-0464-3823
citation:
  ama: Draganov O. Structures and computations in topological data analysis. 2025.
    doi:<a href="https://doi.org/10.15479/at:ista:18979">10.15479/at:ista:18979</a>
  apa: Draganov, O. (2025). <i>Structures and computations in topological data analysis</i>.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:18979">https://doi.org/10.15479/at:ista:18979</a>
  chicago: Draganov, Ondrej. “Structures and Computations in Topological Data Analysis.”
    Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/at:ista:18979">https://doi.org/10.15479/at:ista:18979</a>.
  ieee: O. Draganov, “Structures and computations in topological data analysis,” Institute
    of Science and Technology Austria, 2025.
  ista: Draganov O. 2025. Structures and computations in topological data analysis.
    Institute of Science and Technology Austria.
  mla: Draganov, Ondrej. <i>Structures and Computations in Topological Data Analysis</i>.
    Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/at:ista:18979">10.15479/at:ista:18979</a>.
  short: O. Draganov, Structures and Computations in Topological Data Analysis, Institute
    of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-01-31T17:04:40Z
date_published: 2025-02-03T00:00:00Z
date_updated: 2026-04-07T11:47:30Z
day: '03'
ddc:
- '514'
- '004'
degree_awarded: PhD
department:
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- _id: HeEd
doi: 10.15479/at:ista:18979
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  file_size: 8857514
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file_date_updated: 2025-02-04T16:22:07Z
has_accepted_license: '1'
keyword:
- topological data analysis
- chromatic point set
- alpha complex
- persistent homology
- six pack
- sheaf
- microlocal discrete Morse
- injective resolution
- collapse
- knot
- discrete Morse theory
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '140'
project:
- _id: 2561EBF4-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: I02979-N35
  name: Persistence and stability of geometric complexes
- _id: 268116B8-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z00342
  name: Mathematics, Computer Science
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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status: public
supervisor:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
title: Structures and computations in topological data analysis
tmp:
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  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
_id: '20206'
abstract:
- lang: eng
  text: "The internal structure of biomolecules and their organization in higher-order
    arrangements are key factors governing the working principles of biological systems.
    Bioimaging has successfully revealed arrangements across relevant spatial scales.
    For example, cryo-electron tomography has become widely used for analyzing biomolecular
    structures in situ due to its comprehensive structural visualization of near-natively
    preserved samples, and its capability of sub-nm resolution via averaging. However,
    the identification of molecules within crowded cellular environments is often
    hindered by low contrast. Fluorescence microscopy, on the other hand, routinely
    visualizes specifically labeled targets at single-molecule contrast against essentially
    zero background. Moreover, it provides comparatively high throughput and is amenable
    to multiplexing. Due to this complementarity, combining datasets from both modalities
    acquired on the same region via correlative light and electron microscopy can
    reveal novel types of information. \r\nThe spatial scale at which information
    can be extracted depends on imaging resolution and correlation accuracy. Since
    diffraction of light limits the resolution of conventional fluorescence microscopy
    to few hundreds of nanometers, reaching the full potential of correlative imaging
    requires super-resolution approaches. Performing imaging at cryogenic temperature
    preserves structures in a near-native state and minimizes distortions between
    the fluorescence and the electron microscopy datasets. Implementations of this
    concept have achieved correlation on the scale of cellular organelles or bacterial
    domains.\r\nWe have worked towards pushing correlative imaging to the single-molecule
    scale by improving cryo-super-resolution microscopy, and devising a refined image
    correlation workflow. As part of this project, I constructed a microscopy setup
    and adopted it for super-resolution fluorescence microscopy at room temperature
    and cryogenic conditions. I explored different cryo-stages and acquisition strategies.
    Specifically, I developed a new scheme for correcting sample drift, thus increasing
    mechanical stability during microscopy acquisitions.\r\n"
acknowledged_ssus:
- _id: M-Shop
- _id: EM-Fac
- _id: Bio
acknowledgement: "The project was supported by CZI grant DAF2021-234754 and grant\r\nDOI:
  https://doi.org/10.37921/812628ebpcwg from the Chan Zuckerberg Initiative DAF, an\r\nadvised
  fund of Silicon Valley Community Foundation (funder\r\nDOI: https://doi.org/10.13039/100014989),
  as well as internal grants from ISTA’s Equipment\r\nInvestment Committee and Interdisciplinary
  Project Committee. "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jakob
  full_name: Vorlaufer, Jakob
  id: 937696FA-C996-11E9-8C7C-CF13E6697425
  last_name: Vorlaufer
  orcid: 0009-0000-7590-3501
citation:
  ama: Vorlaufer J. Construction of a cryo-super-resolution microscope to guide in
    situ structure analysis. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20206">10.15479/AT-ISTA-20206</a>
  apa: Vorlaufer, J. (2025). <i>Construction of a cryo-super-resolution microscope
    to guide in situ structure analysis</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/AT-ISTA-20206">https://doi.org/10.15479/AT-ISTA-20206</a>
  chicago: Vorlaufer, Jakob. “Construction of a Cryo-Super-Resolution Microscope to
    Guide in Situ Structure Analysis.” Institute of Science and Technology Austria,
    2025. <a href="https://doi.org/10.15479/AT-ISTA-20206">https://doi.org/10.15479/AT-ISTA-20206</a>.
  ieee: J. Vorlaufer, “Construction of a cryo-super-resolution microscope to guide
    in situ structure analysis,” Institute of Science and Technology Austria, 2025.
  ista: Vorlaufer J. 2025. Construction of a cryo-super-resolution microscope to guide
    in situ structure analysis. Institute of Science and Technology Austria.
  mla: Vorlaufer, Jakob. <i>Construction of a Cryo-Super-Resolution Microscope to
    Guide in Situ Structure Analysis</i>. Institute of Science and Technology Austria,
    2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20206">10.15479/AT-ISTA-20206</a>.
  short: J. Vorlaufer, Construction of a Cryo-Super-Resolution Microscope to Guide
    in Situ Structure Analysis, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-08-22T08:12:55Z
date_published: 2025-08-25T00:00:00Z
date_updated: 2026-04-07T11:48:07Z
day: '25'
ddc:
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degree_awarded: PhD
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project:
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publication_identifier:
  issn:
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publication_status: published
publisher: Institute of Science and Technology Austria
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supervisor:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
title: Construction of a cryo-super-resolution microscope to guide in situ structure
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  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_embargo: '12'
OA_place: publisher
_id: '19722'
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
acknowledgement: Special thanks to the Plant Facility.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Syamala
  full_name: Inumella, Syamala
  id: F8660870-D756-11E9-98C5-34DFE5697425
  last_name: Inumella
  orcid: 0009-0002-5890-120X
citation:
  ama: Inumella S. Molecular mechanisms of microtubule reorganization in elongating
    root epidermal cells. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-19722">10.15479/AT-ISTA-19722</a>
  apa: Inumella, S. (2025). <i>Molecular mechanisms of microtubule reorganization
    in elongating root epidermal cells</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/AT-ISTA-19722">https://doi.org/10.15479/AT-ISTA-19722</a>
  chicago: Inumella, Syamala. “Molecular Mechanisms of Microtubule Reorganization
    in Elongating Root Epidermal Cells.” Institute of Science and Technology Austria,
    2025. <a href="https://doi.org/10.15479/AT-ISTA-19722">https://doi.org/10.15479/AT-ISTA-19722</a>.
  ieee: S. Inumella, “Molecular mechanisms of microtubule reorganization in elongating
    root epidermal cells,” Institute of Science and Technology Austria, 2025.
  ista: Inumella S. 2025. Molecular mechanisms of microtubule reorganization in elongating
    root epidermal cells. Institute of Science and Technology Austria.
  mla: Inumella, Syamala. <i>Molecular Mechanisms of Microtubule Reorganization in
    Elongating Root Epidermal Cells</i>. Institute of Science and Technology Austria,
    2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-19722">10.15479/AT-ISTA-19722</a>.
  short: S. Inumella, Molecular Mechanisms of Microtubule Reorganization in Elongating
    Root Epidermal Cells, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-05-23T15:21:29Z
date_published: 2025-05-23T00:00:00Z
date_updated: 2026-04-07T11:47:52Z
day: '23'
ddc:
- '580'
degree_awarded: PhD
department:
- _id: GradSch
- _id: EvBe
doi: 10.15479/AT-ISTA-19722
file:
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  checksum: 847ec70b2e40f50e0ddc7b8da201d52c
  content_type: application/pdf
  creator: sinumell
  date_created: 2025-05-28T11:59:11Z
  date_updated: 2025-05-28T11:59:11Z
  embargo: 2026-05-23
  embargo_to: open_access
  file_id: '19757'
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  creator: sinumell
  date_created: 2025-05-28T11:59:11Z
  date_updated: 2025-05-28T11:59:11Z
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  file_name: Final Thesis_Syamala Inumella.docx
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  relation: source_file
file_date_updated: 2025-05-28T11:59:11Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa_version: Published Version
page: '113'
publication_identifier:
  isbn:
  - 978-3-99078-059-6
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Eva
  full_name: Benková, Eva
  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
title: Molecular mechanisms of microtubule reorganization in elongating root epidermal
  cells
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
_id: '20138'
abstract:
- lang: eng
  text: "The evolution shapes the world around us.\r\nNot only in biology, where the
    fittest individuals spread their genes but also in physics and social dynamics,
    the evolutionary forces determine the development of a state of matter or public
    opinions.\r\nMany models describe these dynamics.\r\nThis thesis examines the
    role of the structure in the models of selection.\r\nThe population structure
    is represented as a graph or a network, and each vertex is occupied by one individual.\r\nEvery
    individual has a type and fitness that represents the reproductive potential and
    depends on the type, occupied vertex, and the arrangement of the neighbors.\r\nThe
    evolution is modeled in discrete steps; in one step, one individual is replaced
    by a neighbor selected randomly with the influence of fitness.\r\n\r\n\r\n\r\nThe
    role of the networks is widely examined in the literature.\r\nThe structures that
    promote the spread of the desired type compared to the structureless case are
    called amplifiers.\r\nThe existence of amplifiers in various settings is an intensively
    studied topic, and in some settings, the amplifiers have been identified.\r\nMoreover,
    there are other important questions about the number of steps until one type spreads
    over the whole network (fixation time), the computational complexity, and the
    questions about the robustness of these processes.\r\n\r\n\r\nThis thesis explores
    the role of structure in evolution from many perspectives.\r\nFirst, it introduces
    different models and various choices that can be made in the models of evolution.\r\nIt
    highlights the role of the structure in the real world and how this is reflected
    in these models.\r\nThen, it describes the previous results and open problems.\r\nSecond,
    the thesis describes an amplifier for two variants of the Moran process: one with
    a constant birth rate and the other with a constant death rate.\r\nThis is an
    important contribution to the robustness of the amplification.\r\nThird, the thesis
    determines the complexity of spatial games.\r\nThese are processes where the fitness
    comes from a game, and the strength of selection is high.\r\nIt shows that determining
    the fate of cooperation in these games is a PSPACE-complete problem.\r\nFourth,
    the thesis describes the amplifier of cooperation for spatial games.\r\nThis is
    the first amplifier in this setting.\r\nFifth, the thesis examines the coexistence
    in the Moran process with environmental heterogeneity.\r\nIn this setting, the
    fitness depends not only on the type of the individual but also on the occupied
    vertex.\r\nThe chapter determines the relationship between the interactions of
    vertices of different types and the coexistence time.\r\nSixth, the thesis examines
    the social balance on networks and proposes a stochastic dynamic partially aware
    of the state of the graph, which reaches a balanced position quickly.\r\nFinally,
    the thesis presents conclusions and outlines the directions for future work.\r\n\r\n\r\n"
acknowledgement: "This work was supported by the European Research Council CoG 863818
  (ForMSMArt) and Austrian Science Fund 10.55776/COE12.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jakub
  full_name: Svoboda, Jakub
  id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
  last_name: Svoboda
  orcid: 0000-0002-1419-3267
citation:
  ama: Svoboda J. Structural properties of games on graphs. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20138">10.15479/AT-ISTA-20138</a>
  apa: Svoboda, J. (2025). <i>Structural properties of games on graphs</i>. Institute
    of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20138">https://doi.org/10.15479/AT-ISTA-20138</a>
  chicago: Svoboda, Jakub. “Structural Properties of Games on Graphs.” Institute of
    Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20138">https://doi.org/10.15479/AT-ISTA-20138</a>.
  ieee: J. Svoboda, “Structural properties of games on graphs,” Institute of Science
    and Technology Austria, 2025.
  ista: Svoboda J. 2025. Structural properties of games on graphs. Institute of Science
    and Technology Austria.
  mla: Svoboda, Jakub. <i>Structural Properties of Games on Graphs</i>. Institute
    of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20138">10.15479/AT-ISTA-20138</a>.
  short: J. Svoboda, Structural Properties of Games on Graphs, Institute of Science
    and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-08-05T14:33:59Z
date_published: 2025-08-05T00:00:00Z
date_updated: 2026-04-07T11:49:12Z
day: '05'
ddc:
- '000'
- '519'
degree_awarded: PhD
department:
- _id: GradSch
- _id: KrCh
doi: 10.15479/AT-ISTA-20138
ec_funded: 1
file:
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  file_id: '20178'
  file_name: 2025_Svoboda_Jakub_Thesis.zip
  file_size: 6731815
  relation: source_file
file_date_updated: 2025-08-21T11:48:39Z
has_accepted_license: '1'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: '167'
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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    relation: part_of_dissertation
    status: public
  - id: '12101'
    relation: part_of_dissertation
    status: public
  - id: '12257'
    relation: part_of_dissertation
    status: public
  - id: '15297'
    relation: part_of_dissertation
    status: public
  - id: '18703'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
title: Structural properties of games on graphs
tmp:
  image: /images/cc_by_nc_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
_id: '20117'
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: PreCl
acknowledgement: "I would also like to acknowledge the invaluable assistance provided
  by the Plant\r\nFacility, Imaging & Optics Facility, and the Lab Support Facility.
  The technical support and\r\nresources offered by these facilities were indispensable
  to the successful completion of my\r\nexperiments."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Yiqun
  full_name: Wang, Yiqun
  id: 82F537F2-B517-11E9-84D7-6433E6697425
  last_name: Wang
citation:
  ama: Wang Y. The role of dynamin related protein 2A in cytokinin regulated plant
    growth and development. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20117">10.15479/AT-ISTA-20117</a>
  apa: Wang, Y. (2025). <i>The role of dynamin related protein 2A in cytokinin regulated
    plant growth and development</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/AT-ISTA-20117">https://doi.org/10.15479/AT-ISTA-20117</a>
  chicago: Wang, Yiqun. “The Role of Dynamin Related Protein 2A in Cytokinin Regulated
    Plant Growth and Development.” Institute of Science and Technology Austria, 2025.
    <a href="https://doi.org/10.15479/AT-ISTA-20117">https://doi.org/10.15479/AT-ISTA-20117</a>.
  ieee: Y. Wang, “The role of dynamin related protein 2A in cytokinin regulated plant
    growth and development,” Institute of Science and Technology Austria, 2025.
  ista: Wang Y. 2025. The role of dynamin related protein 2A in cytokinin regulated
    plant growth and development. Institute of Science and Technology Austria.
  mla: Wang, Yiqun. <i>The Role of Dynamin Related Protein 2A in Cytokinin Regulated
    Plant Growth and Development</i>. Institute of Science and Technology Austria,
    2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20117">10.15479/AT-ISTA-20117</a>.
  short: Y. Wang, The Role of Dynamin Related Protein 2A in Cytokinin Regulated Plant
    Growth and Development, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-08-04T15:24:21Z
date_published: 2025-08-04T00:00:00Z
date_updated: 2026-04-07T11:49:34Z
day: '04'
ddc:
- '580'
degree_awarded: PhD
department:
- _id: GradSch
- _id: EvBe
doi: 10.15479/AT-ISTA-20117
file:
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  date_created: 2025-08-22T08:22:10Z
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  file_id: '20209'
  file_name: 2025_Wang_Yiqun_Thesis.docx
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  relation: source_file
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  checksum: 8d7a2383f66377da675d379ec30ea0fe
  content_type: application/pdf
  creator: yiqwang
  date_created: 2025-08-22T10:32:30Z
  date_updated: 2025-09-03T09:36:52Z
  embargo: 2026-09-03
  embargo_to: open_access
  file_id: '20211'
  file_name: 2025_Wang_Yiqun_Thesis.pdf
  file_size: 12628313
  relation: main_file
file_date_updated: 2025-09-03T09:36:52Z
has_accepted_license: '1'
language:
- iso: eng
month: '08'
oa_version: Published Version
page: '108'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '18063'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Eva
  full_name: Benková, Eva
  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
title: The role of dynamin related protein 2A in cytokinin regulated plant growth
  and development
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
_id: '19759'
abstract:
- lang: eng
  text: "Despite generating remarkable results in various computer vision tasks, deep
    learning comes\r\nwith some surprising shortcomings. For example, tiny perturbations,
    often imperceptible to\r\nthe human eye, can completely change the predictions
    of image classifiers. Despite a decade\r\nof research, the field has made limited
    progress in developing image classifiers that are both\r\naccurate and robust.
    This thesis aims to address this gap.\r\nAs our first contribution, we aim to
    simplify the process of training certifiably robust image\r\nclassifiers. We do
    this by designing a convolutional layer that does not require executing an\r\niterative
    procedure in every forward pass, but relies on an explicit bound instead. We also\r\npropose
    a loss function that allows optimizing for a particular margin more precisely.\r\nNext,
    we provide an overview and comparison of various methods that create robust image\r\nclassifiers
    by constraining the Lipschitz constant. This is important since generally longer\r\ntraining
    times and more parameters improve the performance of robust classifiers, making
    it\r\nchallenging to determine the most practical and effective methods from existing
    literature.\r\nIn 1-Lipschitz classification, the performance of current methods
    is still much worse than what\r\nwe expect on the simple tasks we consider. Therefore,
    we next investigate potential causes of\r\nthis shortcoming. We first consider
    the role of the activation function. We prove a theoretical\r\nshortcoming of
    the commonly used activation function, and provide an alternative without it.\r\nHowever
    this theoretical improvement does barely translate to the empirical performance
    of\r\nrobust classifiers, suggesting a different bottleneck.\r\nTherefore, in
    the final chapter, we study how the performance depends on the amount of\r\ntraining
    data. We prove that in the worst case, we might require far more data to train
    a\r\nrobust classifier compared to a normal one. We furthermore find that the
    amount of training\r\ndata is a key determinant of the performance current methods
    achieve on popular datasets.\r\nAdditionally, we show that linear subspaces exist
    with tiny data variance, and yet we can\r\nstill train very accurate classifiers
    after projecting into those subspaces. This shows that on\r\nthe datasets considered,
    enforcing robustness in classification makes the task strictly more\r\nchallenging.\r\n\r\n-----------------“In
    reference to IEEE copyrighted material which is used with permission in this thesis,
    the IEEE does not endorse any of [name of university or educational entity]’s
    products or services. Internal or personal use of this material is permitted.
    If interested in reprinting/republishing IEEE copyrighted material for advertising
    or promotional purposes or for creating new collective works for resale or redistribution,
    please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html
    to learn how to obtain a License from RightsLink. If applicable, University Microfilms
    and/or ProQuest Library, or the Archives of Canada may supply single copies of
    the dissertation.”\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Bernd
  full_name: Prach, Bernd
  id: 2D561D42-C427-11E9-89B4-9C1AE6697425
  last_name: Prach
citation:
  ama: Prach B. Robust image classification with 1-Lipschitz networks. 2025. doi:<a
    href="https://doi.org/10.15479/10.15479/at-ista-19759">10.15479/10.15479/at-ista-19759</a>
  apa: Prach, B. (2025). <i>Robust image classification with 1-Lipschitz networks</i>.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/10.15479/at-ista-19759">https://doi.org/10.15479/10.15479/at-ista-19759</a>
  chicago: Prach, Bernd. “Robust Image Classification with 1-Lipschitz Networks.”
    Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/10.15479/at-ista-19759">https://doi.org/10.15479/10.15479/at-ista-19759</a>.
  ieee: B. Prach, “Robust image classification with 1-Lipschitz networks,” Institute
    of Science and Technology Austria, 2025.
  ista: Prach B. 2025. Robust image classification with 1-Lipschitz networks. Institute
    of Science and Technology Austria.
  mla: Prach, Bernd. <i>Robust Image Classification with 1-Lipschitz Networks</i>.
    Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/10.15479/at-ista-19759">10.15479/10.15479/at-ista-19759</a>.
  short: B. Prach, Robust Image Classification with 1-Lipschitz Networks, Institute
    of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-05-28T16:20:48Z
date_published: 2025-05-30T00:00:00Z
date_updated: 2026-04-07T11:49:52Z
day: '30'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: ChLa
doi: 10.15479/10.15479/at-ista-19759
file:
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  file_size: 3578077
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  checksum: 51bf6c11fb6d8a9f8010b458c600a83f
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language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '84'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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    relation: part_of_dissertation
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    relation: part_of_dissertation
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  - id: '11839'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
title: Robust image classification with 1-Lipschitz networks
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
_id: '20167'
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
acknowledgement: "This work was supported by EMBO (ALTF 302-2019 to Niko Amin-Wetzel),
  the FWF\r\n(ESPRIT PR1054E140 to Niko Amin-Wetzel), the European Research Council\r\n(Advanced
  Grant 269058 to Mario de Bono) and Wellcome (209504/A/17/Z\r\nInvestigator Award
  to Mario de Bono). "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Hanna
  full_name: Schön, Hanna
  id: C8E17EDC-D7AA-11E9-B7B7-45ECE5697425
  last_name: Schön
citation:
  ama: Schön H. The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs encoding
    GPCRs. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20167">10.15479/AT-ISTA-20167</a>
  apa: Schön, H. (2025). <i>The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs
    encoding GPCRs</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20167">https://doi.org/10.15479/AT-ISTA-20167</a>
  chicago: Schön, Hanna. “The ER Complex SUTU-7/MACO-1 Regulates the Fate of MRNAs
    Encoding GPCRs.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20167">https://doi.org/10.15479/AT-ISTA-20167</a>.
  ieee: H. Schön, “The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs encoding
    GPCRs,” Institute of Science and Technology Austria, 2025.
  ista: Schön H. 2025. The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs encoding
    GPCRs. Institute of Science and Technology Austria.
  mla: Schön, Hanna. <i>The ER Complex SUTU-7/MACO-1 Regulates the Fate of MRNAs Encoding
    GPCRs</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20167">10.15479/AT-ISTA-20167</a>.
  short: H. Schön, The ER Complex SUTU-7/MACO-1 Regulates the Fate of MRNAs Encoding
    GPCRs, Institute of Science and Technology Austria, 2025.
corr_author: '1'
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  issn:
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publisher: Institute of Science and Technology Austria
status: public
supervisor:
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  full_name: de Bono, Mario
  id: 4E3FF80E-F248-11E8-B48F-1D18A9856A87
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title: The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs encoding GPCRs
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  short: CC BY (4.0)
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...
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  id: db566d23-f6e0-11ea-865d-e6f270e968e7
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  ama: Babic D. Mechanisms of auxin-mediated early embryogenesis in Arabidopsis thaliana.
    2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20362">10.15479/AT-ISTA-20362</a>
  apa: Babic, D. (2025). <i>Mechanisms of auxin-mediated early embryogenesis in Arabidopsis
    thaliana</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20362">https://doi.org/10.15479/AT-ISTA-20362</a>
  chicago: Babic, David. “Mechanisms of Auxin-Mediated Early Embryogenesis in Arabidopsis
    Thaliana.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20362">https://doi.org/10.15479/AT-ISTA-20362</a>.
  ieee: D. Babic, “Mechanisms of auxin-mediated early embryogenesis in Arabidopsis
    thaliana,” Institute of Science and Technology Austria, 2025.
  ista: Babic D. 2025. Mechanisms of auxin-mediated early embryogenesis in Arabidopsis
    thaliana. Institute of Science and Technology Austria.
  mla: Babic, David. <i>Mechanisms of Auxin-Mediated Early Embryogenesis in Arabidopsis
    Thaliana</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20362">10.15479/AT-ISTA-20362</a>.
  short: D. Babic, Mechanisms of Auxin-Mediated Early Embryogenesis in Arabidopsis
    Thaliana, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-09-17T13:28:01Z
date_published: 2025-09-18T00:00:00Z
date_updated: 2026-04-07T11:52:02Z
day: '18'
ddc:
- '580'
degree_awarded: PhD
department:
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- _id: JiFr
- _id: EvBe
doi: 10.15479/AT-ISTA-20362
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publisher: Institute of Science and Technology Austria
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supervisor:
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  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
- first_name: Eva
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  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
title: Mechanisms of auxin-mediated early embryogenesis in Arabidopsis thaliana
tmp:
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  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
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type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
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...
---
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acknowledged_ssus:
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- _id: EM-Fac
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
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  full_name: Lee, Seungho
  id: BB243B88-D767-11E9-B658-BC13E6697425
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  orcid: 0000-0002-6962-8598
citation:
  ama: Lee S. Nanoparticle-based precursors toward advanced crystalline inorganic
    solids. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20415">10.15479/AT-ISTA-20415</a>
  apa: Lee, S. (2025). <i>Nanoparticle-based precursors toward advanced crystalline
    inorganic solids</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20415">https://doi.org/10.15479/AT-ISTA-20415</a>
  chicago: Lee, Seungho. “Nanoparticle-Based Precursors toward Advanced Crystalline
    Inorganic Solids.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20415">https://doi.org/10.15479/AT-ISTA-20415</a>.
  ieee: S. Lee, “Nanoparticle-based precursors toward advanced crystalline inorganic
    solids,” Institute of Science and Technology Austria, 2025.
  ista: Lee S. 2025. Nanoparticle-based precursors toward advanced crystalline inorganic
    solids. Institute of Science and Technology Austria.
  mla: Lee, Seungho. <i>Nanoparticle-Based Precursors toward Advanced Crystalline
    Inorganic Solids</i>. Institute of Science and Technology Austria, 2025, doi:<a
    href="https://doi.org/10.15479/AT-ISTA-20415">10.15479/AT-ISTA-20415</a>.
  short: S. Lee, Nanoparticle-Based Precursors toward Advanced Crystalline Inorganic
    Solids, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-10-01T09:04:00Z
date_published: 2025-10-01T00:00:00Z
date_updated: 2026-04-07T11:52:32Z
day: '01'
ddc:
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degree_awarded: PhD
department:
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- _id: MaIb
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  name: 'HighTE: The Werner Siemens Laboratory for the High Throughput Discovery of
    Semiconductors for Waste Heat Recovery'
publication_identifier:
  issn:
  - 2663-337X
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publisher: Institute of Science and Technology Austria
related_material:
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status: public
supervisor:
- first_name: Maria
  full_name: Ibáñez, Maria
  id: 43C61214-F248-11E8-B48F-1D18A9856A87
  last_name: Ibáñez
  orcid: 0000-0001-5013-2843
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  last_name: Protesescu
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  full_name: Freunberger, Stefan Alexander
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  orcid: 0000-0003-2902-5319
title: Nanoparticle-based precursors toward advanced crystalline inorganic solids
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
_id: '20364'
acknowledged_ssus:
- _id: LifeSc
- _id: Bio
acknowledgement: "Plant Facility,\r\nProtein Service Facility"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Caterina
  full_name: Giannini, Caterina
  id: e3fdddd5-f6e0-11ea-865d-ca99ee6367f4
  last_name: Giannini
citation:
  ama: Giannini C. Nuclear and cell surface auxin signaling in A. thaliana developmental
    transitions. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20364">10.15479/AT-ISTA-20364</a>
  apa: Giannini, C. (2025). <i>Nuclear and cell surface auxin signaling in A. thaliana
    developmental transitions</i>. Institute of Science and Technology Austria. <a
    href="https://doi.org/10.15479/AT-ISTA-20364">https://doi.org/10.15479/AT-ISTA-20364</a>
  chicago: Giannini, Caterina. “Nuclear and Cell Surface Auxin Signaling in A. Thaliana
    Developmental Transitions.” Institute of Science and Technology Austria, 2025.
    <a href="https://doi.org/10.15479/AT-ISTA-20364">https://doi.org/10.15479/AT-ISTA-20364</a>.
  ieee: C. Giannini, “Nuclear and cell surface auxin signaling in A. thaliana developmental
    transitions,” Institute of Science and Technology Austria, 2025.
  ista: Giannini C. 2025. Nuclear and cell surface auxin signaling in A. thaliana
    developmental transitions. Institute of Science and Technology Austria.
  mla: Giannini, Caterina. <i>Nuclear and Cell Surface Auxin Signaling in A. Thaliana
    Developmental Transitions</i>. Institute of Science and Technology Austria, 2025,
    doi:<a href="https://doi.org/10.15479/AT-ISTA-20364">10.15479/AT-ISTA-20364</a>.
  short: C. Giannini, Nuclear and Cell Surface Auxin Signaling in A. Thaliana Developmental
    Transitions, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-09-19T12:23:38Z
date_published: 2025-09-19T00:00:00Z
date_updated: 2026-04-07T11:52:16Z
day: '19'
ddc:
- '580'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JiFr
- _id: MaLo
doi: 10.15479/AT-ISTA-20364
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has_accepted_license: '1'
keyword:
- Auxin Signaling
- Plant Development
language:
- iso: eng
month: '09'
oa_version: Published Version
page: '151'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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status: public
supervisor:
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
title: Nuclear and cell surface auxin signaling in A. thaliana developmental transitions
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
_id: '20441'
abstract:
- lang: eng
  text: "Epithelial spreading plays a pivotal role in the development of organisms
    especially those\r\nsuch as zebrafish which require the epithelial enveloping
    layer (EVL) to spread to cover the\r\nsubstantial yolk surface during gastrulation.
    Epiboly requires the transition of the epithelium\r\nwith cuboidal cells to form
    a thin, flat squamous epithelial sheet. During this transition, the\r\ncells show
    tissue-scale mechanosensation with mechanisms such as direct mechanical control\r\nover
    the axis of cell division.\r\nCytoskeletal intermediate filaments play a crucial
    role in vertebrate cells, not only facilitating\r\nmechanical stability but also
    helping facilitate the mechanosensitive response of the cell.\r\nMechanosenstivity
    displayed by intermediate filaments is due not just to their interesting\r\nphysical
    properties but also to their interactions with other cytoskeletal elements such
    as actin\r\nand microtubules. Keratin is the predominant intermediate filament
    expressed in the EVL.\r\nIt expresses concomitantly with the gastrulation movements
    of the developing embryo. Our\r\nwork focuses on understanding the role and dynamics
    of the keratin cytoskeletal network in\r\nmodulating the physical aspects of EVL
    spreading. We demonstrated with the combination of\r\nphysical characterisation
    and manipulations of the EVL, utilising a variety of biophysical tools\r\nand
    microscopy, the mechanistic role of keratin in tissue spreading.\r\nGenerating
    novel genetic morphants and mutants, we probe the effect that the loss of the\r\nkeratin
    network has on the physiology of the epithelium and the developing embryo. We\r\nshow
    that the changing organisation of the keratin network is important for changing
    EVL\r\nphysical properties as the stress imposed on the EVL increases during epiboly.
    By modelling\r\nthe epithelium, we study how the mechanical heterogeneity in an
    epithelium can feed back into\r\na mechanical loop to the maturation of the keratin
    network and hence affect the mechanics\r\nof the epithelium. However, unlike what
    would be predicted by the effect of intermediate\r\nfilaments in acting as a security
    belt and increasing the resistance of the epithelium, we observe\r\nthat loss
    of keratin leads to a delay in the EVL movement. Using both local aspirations
    of the\r\nYSL and EVL ablations, we demonstrate the mechanistic facilitation of
    actin mechanosensation\r\nin a keratin-dependent manner.\r\nFurthermore, using
    chemical inhibitors of microtubule polymerisation, we provide insight into\r\nthe
    mechanisms underlying the organisation and distribution of keratin. Interestingly,
    the\r\nphenotype observed upon this loss of microtubules shows that keratins interact
    with the nucleus\r\nthrough microtubular interactions. Together with these diverse
    observations, we describe\r\nthe mechanosensory feedback between resilience and
    that is critical for uniform and robust\r\nspreading of the epithelium."
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
acknowledgement: "I would also like to thank the LSF and Cryo facility at ISTA, which
  have been helpful in my\r\nexperiments. I would also like to acknowledge FWF, grant
  DOI 10.55776/PAT5044023 and JKU Nanocell grant DOI \r\n10.55776/W1250 for providing
  funding for my PhD research. EMBO and FWF for providing funding for travel grants
  to attend conferences."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Suyash
  full_name: Naik, Suyash
  id: 2C0B105C-F248-11E8-B48F-1D18A9856A87
  last_name: Naik
  orcid: 0000-0001-8421-5508
citation:
  ama: Naik S. Keratins act as global coordinators of tissue spreading through mechanosensitive
    feedback. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20441">10.15479/AT-ISTA-20441</a>
  apa: Naik, S. (2025). <i>Keratins act as global coordinators of tissue spreading
    through mechanosensitive feedback</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/AT-ISTA-20441">https://doi.org/10.15479/AT-ISTA-20441</a>
  chicago: Naik, Suyash. “Keratins Act as Global Coordinators of Tissue Spreading
    through Mechanosensitive Feedback.” Institute of Science and Technology Austria,
    2025. <a href="https://doi.org/10.15479/AT-ISTA-20441">https://doi.org/10.15479/AT-ISTA-20441</a>.
  ieee: S. Naik, “Keratins act as global coordinators of tissue spreading through
    mechanosensitive feedback,” Institute of Science and Technology Austria, 2025.
  ista: Naik S. 2025. Keratins act as global coordinators of tissue spreading through
    mechanosensitive feedback. Institute of Science and Technology Austria.
  mla: Naik, Suyash. <i>Keratins Act as Global Coordinators of Tissue Spreading through
    Mechanosensitive Feedback</i>. Institute of Science and Technology Austria, 2025,
    doi:<a href="https://doi.org/10.15479/AT-ISTA-20441">10.15479/AT-ISTA-20441</a>.
  short: S. Naik, Keratins Act as Global Coordinators of Tissue Spreading through
    Mechanosensitive Feedback, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-10-10T14:58:30Z
date_published: 2025-10-12T00:00:00Z
date_updated: 2026-04-07T11:58:57Z
day: '12'
ddc:
- '596'
- '597'
- '532'
degree_awarded: PhD
department:
- _id: GradSch
- _id: CaHe
- _id: EdHa
doi: 10.15479/AT-ISTA-20441
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has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '105'
project:
- _id: 8f060199-16d5-11f0-9cad-f3253b266c46
  grant_number: PAT 5044023
  name: Keratins in epithelial tissue spreading
- _id: 25AA5F24-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W 1250-B20
  name: Nano-Analytics of Cellular Systems
publication_identifier:
  isbn:
  - 978-3-99078-069-5
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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    status: public
status: public
supervisor:
- first_name: Carl-Philipp J
  full_name: Heisenberg, Carl-Philipp J
  id: 39427864-F248-11E8-B48F-1D18A9856A87
  last_name: Heisenberg
  orcid: 0000-0002-0912-4566
- first_name: Edouard B
  full_name: Hannezo, Edouard B
  id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
  last_name: Hannezo
  orcid: 0000-0001-6005-1561
title: Keratins act as global coordinators of tissue spreading through mechanosensitive
  feedback
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    BY-SA 4.0)
  short: CC BY-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
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_id: '20485'
acknowledged_ssus:
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- _id: Bio
acknowledgement: "I would also like to acknowledge the funding that I received from
  the European Union’s\r\nHorizon 2020 research and Innovation programme under the
  Marie Sklodowska-Curie\r\nGrant Agreement No. 665385. This work would not have been
  possible without the contribution and support of people\r\nbehind the scientific
  service units at ISTA: the Life Science Facility (LSF), Imaging and\r\nOptics Facility
  (IOF), the Bioinformatics Unit, Protein Services Unit and\r\nElectrophysiology Unit.
  I would also like to recognize the work of people at the Vienna\r\nBiocenter (VBC)
  Mass Spectrometry Facility, particularly Markus Hartl and WeiQiang\r\nChen. "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Michaela
  full_name: Misova, Michaela
  id: 495A3C32-F248-11E8-B48F-1D18A9856A87
  last_name: Misova
  orcid: 0000-0003-2427-6856
citation:
  ama: Misova M. Dissecting gap junction biology using the C. elegans nervous system.
    2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20485">10.15479/AT-ISTA-20485</a>
  apa: Misova, M. (2025). <i>Dissecting gap junction biology using the C. elegans
    nervous system</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20485">https://doi.org/10.15479/AT-ISTA-20485</a>
  chicago: Misova, Michaela. “Dissecting Gap Junction Biology Using the C. Elegans
    Nervous System.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20485">https://doi.org/10.15479/AT-ISTA-20485</a>.
  ieee: M. Misova, “Dissecting gap junction biology using the C. elegans nervous system,”
    Institute of Science and Technology Austria, 2025.
  ista: Misova M. 2025. Dissecting gap junction biology using the C. elegans nervous
    system. Institute of Science and Technology Austria.
  mla: Misova, Michaela. <i>Dissecting Gap Junction Biology Using the C. Elegans Nervous
    System</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20485">10.15479/AT-ISTA-20485</a>.
  short: M. Misova, Dissecting Gap Junction Biology Using the C. Elegans Nervous System,
    Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-10-17T16:15:09Z
date_published: 2025-10-23T00:00:00Z
date_updated: 2026-04-07T11:54:00Z
day: '23'
ddc:
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degree_awarded: PhD
department:
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- _id: MaDe
doi: 10.15479/AT-ISTA-20485
ec_funded: 1
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  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  isbn:
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  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
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  full_name: de Bono, Mario
  id: 4E3FF80E-F248-11E8-B48F-1D18A9856A87
  last_name: de Bono
  orcid: 0000-0001-8347-0443
title: Dissecting gap junction biology using the C. elegans nervous system
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type: dissertation
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...
