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TZID:Europe/Vienna
BEGIN:DAYLIGHT
DTSTART:20260329T030000
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DTSTART:20261025T020000
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BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1778065200@ist.ac.at
DTSTART:20260506T130000
DTEND:20260506T160000
DESCRIPTION:Speaker: David Vijatovic\nhosted by Amelia Douglass\nAbstract: 
 Motor circuits must generate distinct patterns of movement while adapting 
 to developmental changes in body form and behavioral demands. Frog metamor
 phosis provides a unique opportunity to study this process\, as Xenopus la
 evis transitions from axial\, tail-based swimming to limb-based locomotion
 . This work investigates how spinal circuits are molecularly organized and
  functionally reorganized during this transition.I examine how spinal neur
 on composition changes across metamorphosis\, showing that cell type diver
 sity increases with the emergence of limb movement. In particular\, inhibi
 tory V1 interneurons and motor neurons expand and diversify into transcrip
 tionally defined populations resembling those described in mammals. These 
 findings support conserved organizational principles of vertebrate spinal 
 circuits and link cell type diversification to the emergence of more compl
 ex motor behaviors. I further develop viral and optical approaches to prob
 e how these molecularly defined circuits are functionally reorganized duri
 ng this transition.Together\, these findings establish Xenopus laevis as a
  powerful model for linking molecular identity\, circuit dynamics\, and be
 havior across vertebrate development.
LOCATION:Sunstone Bldg / Ground floor / Big Seminar Room A / 27 seats (I23.
 EG.102)\, ISTA
ORGANIZER:
SUMMARY:David Vijatovic: Thesis Defense:Dissecting molecular and functional
  basis of motor control in Xenopus laevis frog
URL:https://talks-calendar.ista.ac.at/events/6442
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1779458400@ist.ac.at
DTSTART:20260522T160000
DTEND:20260522T170000
DESCRIPTION:Speaker: Jeferson Zapata\nhosted by Matthew Kwan\nAbstract: Sta
 ndard mathematical optimization and root-finding algorithms often stall or
  fail when faced with degenerate or singular problems. This thesis present
 s novel symbolic-numeric frameworks designed to overcome these theoretical
  and computational bottlenecks. The first part of the presentation introdu
 ces a hybrid algorithm that reformulates weakly feasible\, degenerate semi
 definite programs (SDPs) into structured polynomial systems\, enabling the
  rigorous algebraic certification of numerical approximations. The second 
 part addresses the loss of convergence in path-tracking methods near isola
 ted singular roots. By modeling solution paths as generalized fractional P
 uiseux series and utilizing an explicitly derived algebraic predictor\, th
 e proposed algorithms restore superlinear convergence and significantly re
 duce computational overhead in heavily degenerate systems.
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 ) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Jeferson Zapata: Thesis Defense: Overcoming Degeneracy and Singular
 ity: Techniques for Semidefinite Programs and Homotopy Continuation Endgam
 es
URL:https://talks-calendar.ista.ac.at/events/6476
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1780488000@ist.ac.at
DTSTART:20260603T140000
DTEND:20260603T150000
DESCRIPTION:Speaker: Antoine El-Hayek\nhosted by Georgios Katsaros\nAbstrac
 t: Networks can change over time. Whether it is the Facebook network\, whe
 re 'friendships' emerge or end\, the internet\, where computers connect or
  disconnect from the network\, or the train network\, where new lines can 
 be created or canceled. This creates specific challenges for algorithms de
 signed to either run or manage these 'dynamic' networks.A distributed algo
 rithm is an algorithm that runs on the network. Think of the internet: for
  computers to communicate through this network\, the algorithm should be i
 nstalled on both computers\, and both computers won't necessarily have acc
 ess to the same information. If the network is unstable\, or is simply dyn
 amic\, the communication between them can drop at any point\, and the algo
 rithm should be robust to such changes. In this model\, we look at two pro
 blems: the broadcast problem\, where one computer tries to send a message 
 to every single other computer on the network\, and the majority problem\,
  where initially each computer is given an opinion among k possible ones\,
  and the goal is for every computer to know which opinion was originally t
 he most popular one.A dynamic graph algorithm is an algorithm that manages
  a dynamic network\, or computes a property on it. Think of the network of
  webpages. You might want to rank all webpages from the most important one
  to the least (popular search engines call it the 'PageRank' algorithm). H
 owever\, every day\, new pages go online\, while old pages go offline. You
  wouldn't want the algorithm to be run from scratch every night over all o
 nline webpages\, as this would cost too much energy. Instead\, you would l
 ike to have an algorithm that\, once it has computed the rank of each webp
 age at a given time\, be able to handle a few changes\, and update its sol
 ution accordingly. In the dynamic graph algorithm model\, we look at the m
 inimum cut problem\, where the goal is is divide the network into two subn
 etworks\, such that the number of connections from one subnetwork to the o
 ther is minimized.
LOCATION:Moonstone Bldg / Ground floor / Seminar Room F (I24.EG.030f) and Z
 oom\, ISTA
ORGANIZER:
SUMMARY:Antoine El-Hayek: Thesis Defense: Handling Updates and Failures: Dy
 namic Graph Algorithms and Distributed Computing on Dynamic Networks
URL:https://talks-calendar.ista.ac.at/events/6452
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1781607600@ist.ac.at
DTSTART:20260616T130000
DTEND:20260616T140000
DESCRIPTION:Speaker: Konstantin Kueffner\nhosted by Krzysztof Pietrzak\nAbs
 tract: As automated decision-makers have become ubiquitous in many domains
  of life\, their decisions have become increasingly consequential. Recent 
 years have shown that such systems can exhibit discriminatory behaviour ag
 ainst individuals and social groups alike\, thereby amplifying existing bi
 ases and entrenching socio-economic disparities over time. Algorithmic fai
 rness addresses this problem by developing methods to quantify and mitigat
 e unfair behaviour. However\, much of the existing literature studies fair
 ness in a static pre-deployment setting and\, therefore\, neglects that au
 tomated decision-makers are often deployed in dynamic environments\, where
  their behaviour and the populations they affect may change over time.This
  thesis addresses this gap through the lens of runtime verification. Inste
 ad of treating fairness as a property of a classifier together with a fixe
 d input distribution\, it reframes fairness as a property of the interacti
 on trace between the decision-maker and its deployment environment. To eva
 luate such sequential fairness properties\, the thesis develops runtime mo
 nitors that observe the evolving interaction between the system and the en
 vironment and issue verdicts after each new observation. Because\, these m
 onitors are designed to detect unfair behaviour during deployment\, they c
 omplement fair training\, auditing\, verification\, and enforcement by pr
 oviding an additional layer of mathematically rigorous fairness assurance.
 In summary\, the thesis develops quantitative\, trace-based analogues of c
 lassical group and individual fairness measures and constructs monitors fo
 r them. This includes monitors for long-run group fairness over Markovian 
 traces\, for the time-varying welfare of a changing population in a dynami
 cal system\, and for the individual fairness of an arbitrary system genera
 ting a trace of inputs and outputs. To achieve this\, the monitors combine
  ideas from runtime verification\, sequential statistics\, and nearest-nei
 ghbour search. In the group-fairness settings\, monitoring is primarily a 
 sequential statistical estimation problem: the monitor must construct stat
 istically sound interval estimates of fairness values from dependent and p
 artially observed interactions. In the individual-fairness setting\, the m
 ain challenge is computational efficiency: the monitor must detect individ
 ual fairness violations by efficiently comparing the current decision with
  all previously observed decisions.
LOCATION:Central Bldg / O1 / Mondi 3 (I01.O1.010) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Konstantin Kueffner: Thesis Defense: Monitoring Algorithmic Fairnes
 s in Sequential Decision Making
URL:https://talks-calendar.ista.ac.at/events/6480
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1781702100@ist.ac.at
DTSTART:20260617T151500
DTEND:20260617T161500
DESCRIPTION:Speaker: Yunzhe Li\nhosted by Maksym Serbyn\nAbstract: We study
  spectral rigidity and nonrigidity phenomena in dynamical systems. The cen
 tral question is whether a dynamical system can be determined\, up to a na
 tural conjugacy\, by its spectrum.The first part of the talk focuses on st
 andard maps from the viewpoint of action spectra. We construct nontrivial 
 deformations of the standard map that preserve the symplectic actions of i
 nfinitely many periodic orbits accumulating onto an invariant curve. This 
 result can be viewed as a symplectic twist-map analogue of length-spectral
  nonrigidity phenomena for Riemannian manifolds and convex billiards\, mot
 ivating the problem of constructing analogous “partially length-isospect
 ral” deformations of strictly convex billiard tables. The proof combines
  a resonant normal form construction with Picard iteration schemes to prod
 uce a sequence of periodic orbits accumulating on an invariant curve with 
 a Liouville rotation number. The second part of the talk briefly explores
  rigidity questions for Liouville metrics on the two-dimensional torus. A 
 long-standing folklore conjecture asserts that Liouville metrics are the o
 nly integrable metrics on the torus. We give a length-spectral rigidity re
 sult for the class of trigonometric conformal deformations of Liouville me
 trics by exploiting the dynamical properties of rational tori\, which are 
 analogues of resonant convex caustics in billiards. We also establish a co
 mplementary classification result showing that marked-length-isospectral L
 iouville metrics are characterized by rearrangements of the one-dimensiona
 l functions appearing in their conformal factors\, generalizing a theorem 
 of Abbondandolo and Mazzucchelli. In particular\, this result yields many 
 nonrigidity examples within the class of Liouville metrics.
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 ) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Yunzhe Li: Thesis Defense: Spectral Rigidity and Nonrigidity of Dyn
 amical Systems
URL:https://talks-calendar.ista.ac.at/events/6506
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1782201600@ist.ac.at
DTSTART:20260623T100000
DTEND:20260623T110000
DESCRIPTION:Speaker: Lea Becker\nhosted by Robert Seiringer\nAbstract: Char
 acterizing protein dynamics at the atomic level is essential for our under
 standing of biological mechanisms. Whether it is to facilitate metabolite 
 transport\, catalyze reactions\, transmit signals\, or regulate metabolism
  – proteins are constantly in motion and sample multiple conformational 
 states to fulfill their function. Nuclear magnetic resonance (NMR) spectro
 scopy is particularly well suited to elucidate the dynamics of biomolecule
 s on their complex free-energy landscape. In particular\, solid-state magi
 c-angle spinning (MAS) NMR enables the study of large molecular assemblies
 \, protein crystals\, or insoluble proteins at atomic resolution without a
 n inherent molecular size limitation. MAS NMR experiments to probe protein
  dynamics are extremely versatile and sensitive to motional timescales fro
 m picoseconds to seconds. Over the past decades\, technological advances\,
  developments in experimental design\, and new isotope-labeling approaches
  have further expanded the possibilities of this technique and significant
 ly improved the accuracy of the determined motional parameters.Functionall
 y important sites of proteins often contain aromatic residues. Their side-
 chain motions have therefore long served as valuable indicators of mechani
 stically relevant dynamics in NMR studies. In this thesis\, site-specifica
 lly labeled aromatic residues act as sensitive reporters for MAS NMR studi
 es of protein dynamics. The first part addresses how different environment
 s impact side-chain motion by probing ring flips of phenylalanines and tyr
 osines in crystalline proteins and amyloid fibrils. It provides important 
 insights for the analysis of dynamics obtained in non-native protein envir
 onments and emphasizes the complex factors that determine the timescale of
  internal dynamics. In the second part\, the focus shifts towards methodol
 ogical questions regarding the investigation of protein dynamics by 19F MA
 S NMR. The fluorine nucleus exhibits promising characteristics for NMR stu
 dies but also presents significant challenges\, which is why the full meth
 odological potential of 19F MAS NMR has not been fully realized yet. This 
 work demonstrates that paramagnetic doping can considerably reduce the mea
 surement time and improve the sensitivity of fluorinated samples. Finally\
 , 19F MAS NMR is evaluated as a tool for studying protein side-chain dynam
 ics on the example of tryptophans. The results illustrate the challenges i
 n analyzing such experiments and lay the foundation for further developmen
 t of 19F MAS NMR relaxation studies.Taken together\, this thesis highlight
 s the potential of combining specific isotope labeling\, MAS NMR\, and com
 plementary methods such as crystallography and computational simulations t
 o elucidate internal protein dynamics. The further development of such int
 egrative approaches will be crucial to improving our understanding of comp
 lex mechanisms and protein function.
LOCATION:Central Bldg / O1 / Mondi 2a (I01.O1.008)\, ISTA
ORGANIZER:
SUMMARY:Lea Becker: Thesis Defense: Exploring protein dynamics using specif
 ic labeling approaches for solid-state MAS NMR
URL:https://talks-calendar.ista.ac.at/events/6447
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1782720000@ist.ac.at
DTSTART:20260629T100000
DTEND:20260629T110000
DESCRIPTION:Speaker: Jakub Löwit\nhosted by Krishnendu Chatterjee\nAbstrac
 t: We develop and employ techniques from equivariant algebraic K-theory an
 d related invariants in the context of geometric representation theory\, i
 n both arithmetic and topological situations. We showcase the use of such 
 techniques on the affine Grassmannian Gr\, a space of fundamental interest
  in the geometric Langlands program.
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 ) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Jakub Löwit: Thesis Defense: Equivariant K-theory of affine Grassm
 annians in representation theory and arithmetic
URL:https://talks-calendar.ista.ac.at/events/6500
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1782918000@ist.ac.at
DTSTART:20260701T170000
DTEND:20260701T180000
DESCRIPTION:Speaker: Simone Bombari\nhosted by Matthew Kwan\nAbstract: Arti
 ficial intelligence and machine learning have undergone an unprecedented e
 volution in the past decade\, motivating a research effort toward a theory
  able to capture the qualitative behavior of large-scale neural systems. A
  central puzzle has been the clear benefit of scaling architecture size an
 d overfitting the training set in supervised learning tasks. This evidence
 \, in apparent contradiction with classical statistical learning theory\, 
 pushed researchers to develop a new theory capturing the interplay between
  the algorithmic and architectural bias of training and the specific targe
 t function\, differently from previous methods rooted in uniform stability
 .This approach has enabled a grounded understanding of novel learning regi
 mes\, typically through formal limits where the number of training samples
  $n$\, data dimensions $d$\, and model parameters $p$ grow to infinity at 
 different rates.In this thesis\, we follow this approach\, focusing on the
  trustworthiness of high-dimensional models: properties that are difficult
  to control during training or deployment and often emerge under unpredict
 able or adversarial conditions. In such settings\, it is crucial to formal
 ly ensure a priori the reliability of machine learning systems.First\, we 
 study data memorization\, both as label fitting and as the storage of priv
 ate information about training samples in trained parameters. We prove tha
 t $p = \\Omega(n)$ parameters are sufficient for a deep neural network to 
 memorize a generic set of labels\, and for a model to memorize spurious fe
 atures across training data. We then give evidence that $p = \\Omega(dn)$ 
 parameters are instead necessary for an adversary to reconstruct the full 
 training set from the trained parameters.Second\, we study robustness\, bo
 th to adversarial perturbations and to distribution shift. We first prove 
 that $p = \\Omega(dn)$ parameters can be sufficient for a class of neural 
 networks to overfit the training data while guaranteeing robustness to adv
 ersarial perturbations. Then\, we focus on spurious correlations learning 
 in high-dimensional regression\, studying the effect of the ridge regulari
 zation parameter in the proportional regime $n = \\Theta(d)$\, and connect
 ing it via an equivalence argument to the role of over-parameterization $p
  = \\Omega(n)$ in neural networks. We also investigate the architectural b
 ias of attention-based networks\, showing that they are sensitive to the r
 eplacement of individual words in an embedded sentence\, allowing them to 
 generalize on sentences where the contextual meaning depends on one or few
  words.Finally\, we study differentially private optimization in high-dime
 nsional regimes. We prove that standard private gradient methods do not su
 ffer in the over-parameterized regime $p = \\Omega(n)$\, challenging the c
 urrent wisdom based on stability-derived generalization bounds. We then co
 nsider linear regression in the proportional regime $n = \\Theta(d)$\, sho
 wing that standard private gradient descent can achieve optimal rates unde
 r appropriate hyper-parameter scaling\, such as sufficiently small gradien
 t clipping constants\, whose role is still debated in practice.
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 ) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Simone Bombari: Thesis Defense: Trustworthy Machine Learning in Hig
 h Dimensions
URL:https://talks-calendar.ista.ac.at/events/6499
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1783076400@ist.ac.at
DTSTART:20260703T130000
DTEND:20260703T140000
DESCRIPTION:Speaker: Xin Tong\nhosted by Carl Goodrich\nAbstract: Embryo cl
 eavage — a series of rapid\, reductive cell divisions — is the first m
 orphogenetic movement following fertilisation. It lays the foundation for 
 subsequent developmental events\, including gastrulation\, germ layer spec
 ification\, organogenesis\, and the establishment of the overall body plan
 . Two major modes of cleavage exist in the animal kingdom: holoblastic (co
 mplete) and meroblastic (incomplete) cleavage. Because holoblastic cleavag
 e resembles canonical cytokinesis\, its biochemical and mechanical basis h
 as been extensively studied — an annular contractile ring forms at the e
 quator and constricts in a purse-string-like manner\, leading to the compl
 ete separation of two daughter cells. In contrast\, although meroblastic c
 leavage occurs widely across the animal kingdom (e.g. in fish\, reptiles\,
  birds\, and cephalopod molluscs)\, its mechanical basis remains largely u
 nclear. During meroblastic cleavage\, the cytokinetic furrow forms only at
  one pole and does not traverse the entire embryo\, raising the question o
 f how cytokinesis proceeds in the absence of a closed contractile ring. Mo
 reover\, the resulting daughter cells are not fully separated from the und
 erlying yolk compartment\, and how these blastomeres are subsequently cell
 ularised remains unknown. This thesis takes the zebrafish as a model organ
 ism to address both questions. The first part characterises the biochemica
 l and mechanical mechanisms underlying non-canonical meroblastic cleavage\
 , revealing a two-phase process in which actomyosin cable contraction and 
 cadherin-mediated membrane adhesion act sequentially to drive furrow ingre
 ssion and invagination. The second part sheds light on the spatiotemporal 
 dynamics by which individual blastomeres become cellularised\, and uncover
 s a previously unrecognised contribution of central blastomeres to the yol
 k syncytial layer.
LOCATION:Central Bldg / O1 / Mondi 3 (I01.O1.010) \, ISTA
ORGANIZER:
SUMMARY:Xin Tong: Thesis Defense: Towards a deeper understanding of merobla
 stic cleavage - biochemical mechanisms of partial cytokinesis and cellular
 ization in zebrafish embryogenesis
URL:https://talks-calendar.ista.ac.at/events/6519
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1783598400@ist.ac.at
DTSTART:20260709T140000
DTEND:20260709T150000
DESCRIPTION:Speaker: David Michalik\nhosted by Eva Benková\nAbstract: MDA5
  is an antiviral protein that is activated by long dsRNA molecules. This R
 NA can be of various origins such as viral\, bacterial\, synthetic or\, up
 on certain stimuli\, even cellularsources. Upon sensing immunogenic RNA\, 
 MDA5 coats the dsRNA\, forming a filament. Filament formation brings CARD 
 domains into close proximity\, resulting in CARD oligomerisation. These ol
 igomers are not involved in the RNA recognition but are crucial for activa
 tion of downstream signalling. MDA5 activation leads to a type I interfero
 n response and apoptosis. Loss of function mutations are linked to recurre
 nt\, life-threatening viral infections whereas gain of function mutations 
 are linked to monogenic and polygenic autoimmune diseases. For these reaso
 ns\, MDA5 needs to be tightly regulated by various mechanisms including po
 st-translational modifications\, post-transcriptional modifications\, and 
 protein-protein interactions. In the first chapter\, we focused on the cha
 racterisation of novel phosphorylation sites in MDA5. Using biochemistry\,
  molecular dynamics simulations\, virology\, cell biology and mass spectro
 metry\, we characterised two phosphorylation sites that altered MDA5 activ
 ity andwere regulated in cells upon EMCV infection or IFN-β treatment. Fu
 rthermore\, we discovered an additional phosphorylation site in a non-cons
 erved region\, which is upregulated under both stimuli.In the second chapt
 er\, we focused on biochemical\, biophysical\, and structural characterisa
 tion of various RNAs and MDA5 filaments assembled on them. We discovered t
 hat poly I:C\, a synthetic RNA used to activate an immune response in cell
 s\, has distinct physicochemical characteristics and is not a true mimic o
 f viral RNA\, as is often described. Additionally\, we used cryogenic elec
 tron microscopy to gain structural insights into which RNA features define
  a strong activator of MDA5. To address this\, we compared poly I:C to pol
 y A:U\, an RNA that does not activate an MDA5 signalling in cells\, and to
  a virus-derived dsRNA. In the last chapter\, we focused on activators of 
 MDA5 signalling. In the first part\, we present our efforts to isolate and
  identify a small molecule agonist of MDA5. In the last part\, we describ
 ed our contribution to a collaborative project during which we characteris
 ed the interaction of ANXA2 with MDA5 and activation of MDA5 by a small mo
 lecule.
LOCATION:Office Bldg West / Ground floor / Foyer seminar room (I21.EG.128)\
 , ISTA
ORGANIZER:
SUMMARY:David Michalik: Thesis Defense: Mechanistic insights into MDA5 sele
 ctivity and regulation
URL:https://talks-calendar.ista.ac.at/events/6508
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1784278800@ist.ac.at
DTSTART:20260717T110000
DTEND:20260717T120000
DESCRIPTION:Speaker: Christine Fiedler\nhosted by Edouard Hannezo\nAbstract
 : Thermoelectric materials can directly convert between heat and electrici
 ty\, offering a route toward sustainable energy generation. However\, thei
 r use remains limited to niche applications due to high fabrication costs 
 and relatively low efficiencies compared to competing energy technologies.
  Tin chalcogenides such as SnSe and SnS are promising candidates and\, whe
 n processed via solution-based routes\, provide a scalable and lower-cost 
 alternative to conventional solid-state synthesis\, opening pathways towar
 d broader adoption. However\, realizing their full potential in polycrysta
 lline form requires a deeper understanding of how defects\, dopants\, and 
 microstructure govern charge and heat transport.This thesis demonstrates t
 hat\, in solution-processed materials\, dopants including those introduced
  unintentionally through precursor chemistry\, are not just confined to sp
 ecific lattice sites. Instead\, they distribute across the microstructure\
 , partitioning within grain interiors\, grain boundaries\, and segregated 
 regions\, where they govern grain growth\, carrier concentration\, and cha
 rge transport. Through a systematic study of alkali metals and lead halide
 s in SnSe and SnS\, this work links synthesis\, defect partitioning\, micr
 ostructure evolution\, and thermoelectric performance reshaping how high-p
 erformance p- and n-type thermoelectric materials are designed.
LOCATION:Sunstone Bldg / Ground floor / Big Seminar Room B (I23.EG.102) and
  Zoom\, ISTA
ORGANIZER:
SUMMARY:Christine Fiedler: Thesis Defense: Mechanistic Insight into Solutio
 n-Processed P-type Tin Chalcogenides as a Basis for Designing their N-type
  Analogs
URL:https://talks-calendar.ista.ac.at/events/6530
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1785229200@ist.ac.at
DTSTART:20260728T110000
DTEND:20260728T120000
DESCRIPTION:Speaker: Miguel Cueto Noval\nhosted by Carrie Bernecky\nAbstrac
 t: The widespread adoption of apps like Whatsapp and Signal has translated
  into billions of people all around the world communicating on a regular b
 asis by making use of services that offer end-to-end encryption and even p
 rovide security guarantees when a user's device is compromised.This was ma
 de possible by the introduction of the Double Ratchet Algorithm\, which wa
 s designed for a setting where communication takes place between two parti
 es. However\, in practice\, many apps offer the possibility of creating gr
 oups. The protocols they use to secure communication are inefficient for l
 arge group which has the undesirable consequence that the aforementioned a
 pps have established limits on the group size of roughly 1000 users. This 
 has motivated the introduction of the Messaging Layer Security (MLS) stand
 ard by the IETF which is based on a primitive called Continuous Group Key 
 Agreement (CGKA).This primitive allows a group of users to maintain a shar
 ed secret key that is frequently rotated by the group members in order to 
 change group membership\, achieve forward secrecy (FS) and post compromise
  security (PCS). Most protocols are based on binary trees where the nodes 
 are associated to a pair formed by public key and a secret key. Each leaf 
 corresponds to one of the group members and a user knows the secret keys a
 ssociated to nodes along the path from their leaf to the root. When a user
  wants to update their key material they have to change $ \\log(N) $ many 
 keys. This requires uploading $ \\log(N) $ many ciphertexts to communicate
  the new keys to the rest of the group members in a way that respects the 
 tree structure.In this thesis we study how much communication between grou
 p members is required in order to add and remove users from a group as wel
 l as in order to provide PCS when we consider CGKAs built using standard c
 ryptographic primitives like pseudo-random functions and public-key encryp
 tion. Furthermore\, we also consider the case of MLS and provide the first
  lower bound showing that its communication complexity is much worse than 
 previously believed\, i.e.\, it is very far from $ \\log(N) $. Finally\, w
 e also propose a variant of MLS which provably achieves the same security 
 properties with a much lower communication cost.
LOCATION:Moonstone Bldg / Ground floor / Seminar Room F (I24.EG.030f ) and 
 Zoom\, ISTA
ORGANIZER:
SUMMARY:Miguel Cueto Noval: Thesis Defense: Towards Efficient Secure Group 
 Messaging
URL:https://talks-calendar.ista.ac.at/events/6544
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1785744000@ist.ac.at
DTSTART:20260803T100000
DTEND:20260803T110000
DESCRIPTION:Speaker: Felix Pertl\nhosted by Georgios Katsaros\nAbstract: Co
 ntact electrification (CE) is a simple yet elusive phenomenon that occurs 
 when two materials come into contact and separate\, leaving behind net ele
 ctrical charge. Despite its ubiquity\, the microscopic origin of CE remain
 s unclear. In this thesis\, we investigate CE from three complementary per
 spectives: developing a quantitative method to measure charge at the nanos
 cale\, exploring the dynamic behavior of charge on insulating surfaces\, a
 nd uncovering the role of mechanical history in forming a triboelectric se
 ries.In the first part\, we establish a rigorous framework for converting 
 qualitative Kelvin probe force microscopy (KPFM) voltage maps into quantit
 ative charge density distributions. Using finite element method (FEM) simu
 lations\, we determine the point-spread function of the KPFM tip–sample 
 geometry and demonstrate that the true surface charge can be reconstructed
  by numerical deconvolution. This procedure enables the recovery of both t
 he magnitude and sign of charge density with high fidelity\, resolving nan
 oscale features that are otherwise obscured. Applying the method to contac
 t-charged SiO$_2$ surfaces\, we show that existing analytical approximatio
 ns\, such as parallel plate or spherical models\, can miscalculate charge 
 magnitude by orders of magnitude. Our hybrid FEM/KPFM approach therefore p
 rovides a fast and general method to convert qualitative KPFM signals into
  quantitative charge data\, enabling nanoscale charge mapping under realis
 tic experimental conditions.In the second part\, we study the temporal sta
 bility of CE-induced charges and identify the key material factors that de
 termine whether KPFM can capture meaningful charge patterns. Through time-
 resolved experiments combining a custom-built transfer system with both mi
 croscopic and macroscopic measurements\, we demonstrate that only the best
  insulators\, such as SiO$_2$\, preserve CE charge long enough for station
 ary imaging. For less conductive polymers\, such as PDMS\, charge decays w
 ithin the duration of a single KPFM scan due to bulk conduction. Using a s
 imple capacitor-based model\, we reproduce the observed decay dynamics and
  confirm that the transferred charge decays characteristic to the sample's
  bulk conductivity. Further\, we always observe homogeneous charge transfe
 r.In the third part\, we address the question: can we form a triboelectric
  series with identical materials? Using controlled repetitive contact expe
 riments\, we show that nominally identical materials can progressively ord
 er themselves into a triboelectric series\, where surfaces with more conta
 ct history charge negatively relative to fresher ones. By constructing a m
 inimal model based on this contact bias''\, we replicate the evolution fro
 m random to ordered charging observed in experiments. Supporting surface a
 nalyses\, including atomic force microscopy\, reveal that repeated contact
  induces nanoscale morphological changes\, suggesting a mechanism tightly 
 coupled to mechanical strain. These results highlight the crucial role of 
 surface history and nanoscale mechanics in dictating charge transfer\, mot
 ivating further exploration of mechanisms such as mechanochemical bond cle
 avage and flexoelectric polarization.
LOCATION:Sunstone Bldg / Ground floor / Big Seminar Room B (I23.EG.102)\, I
 STA
ORGANIZER:
SUMMARY:Felix Pertl: Thesis Defense: Experimental probing of nanoscale char
 ge features and surface morphology changes during tribocharging
URL:https://talks-calendar.ista.ac.at/events/6537
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1785744000@ist.ac.at
DTSTART:20260803T100000
DTEND:20260803T110000
DESCRIPTION:Speaker: Marek Randuch\nhosted by Michael Sixt\nAbstract: Root 
 growth inhibition (RG) by auxin and other cues (e.g. eATP\, RALF peptide) 
 involves rapid\, non-transcriptional pathways. Specific steps leading to g
 rowth inhibition are unclear. Notably\, the RG inhibition is associated wi
 th increases in cytosolic Ca2+\, plasma membrane depolarization and apopla
 st alkalization. However\, the causal relationship between them is unclear
 . To untangle these processes\, we utilized multiplexed reporter imaging 
 to observe pairwise the real-time dynamics of these three processes. Furth
 ermore\, we tested causal relationships. We employed microfluidics for rap
 id medium exchange and leveraged new optogenetically regulated channels. 
 Our comprehensive approach uncovered a network with tight feedback loops. 
 Results indicate that cytosolic Ca2+ serves as the universal initial signa
 l\, triggering both plasma membrane depolarization and subsequent apoplast
  alkalization following auxin perception. his conclusion provides a basis 
 for the fundamental regulatory mechanism governing growth but also opens q
 uestions about the molecular mechanisms behind it.
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 ) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Marek Randuch: Thesis Defense: Fast growth responses in plants: Pho
 spho‐proteomic and growth regulation
URL:https://talks-calendar.ista.ac.at/events/6553
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1785934800@ist.ac.at
DTSTART:20260805T150000
DTEND:20260805T160000
DESCRIPTION:Speaker: Silvia Jamrichova\nhosted by Maria Ibáñez\nAbstract:
  A fundamental question in neuroscience is how the biophysical properties 
 of synapses shape higher network computations. The mossy fiber synapse is 
 a key synapse of the trisynaptic circuit of the hippocampus\, a brain regi
 on central to the encoding and retrieval of declarative memory. Its unique
  size\, large vesicle pool\, wide range of plasticity\, striking "detonato
 r" properties\, and involvement in several higher-order computations\, nam
 ely pattern separation and pattern completion\, make it an ideal model for
  studying synaptic mechanisms with direct relevance to memory and its impa
 irments.Despite extensive study over the years\, however\, key questions r
 emain unresolved: the molecular identity of the Ca² sensors driving its d
 istinct modes of release and plasticity\, and whether its fundamental prop
 erties are preserved in the human brain.Thanks to newly generated transgen
 ic mice and a method of direct presynaptic patch-clamp recordings from mos
 sy fiber boutons\, we used a combination of electrophysiological\, imaging
  and behavioral methods to investigate the role of synaptotagmins in timin
 g of transmission and plasticity at this synapse.We found that Syt1 is the
  primary Ca² sensor for synchronous release\, with a major trigger and mi
 nor clamping function of neurotransmitter release. Syt1 deletion led to an
  increase in asynchronous release converting the teacher synapse from a te
 mporally precise conditional detonator to an asynchronous one. Moreover\, 
 at the behavioral level\, desynchronized release selectively impaired patt
 ern completion\, while pattern separation remained intact\, demonstrating 
 that disruption of its precise timing and strength leads to selective impa
 irments in behaviorally relevant hippocampal computations in mice. Interes
 tingly\, our data did not support a proposed role for Syt7 in either async
 hronous release\, or facilitation or pool refilling\, leaving its function
  at this synapse enigmatic.Furthermore\, utilizing non-sclerotic tissue ob
 tained from temporal lobe epilepsy patients undergoing brain surgery\, we 
 discovered several notable species differences: human mossy fiber boutons 
 display larger vesicle pools and amplitude responses\, and — strikingly 
 — exhibit full detonator properties in CA3. Furthermore\, mossy fiber sy
 napses targeting CA4 neurons lack such properties\, suggesting a distinct 
 functional role at this projection.Together\, the findings presented in th
 is thesis shed light on the molecular mechanisms underlying information pr
 ocessing at the hippocampal mossy fiber synapse\, with implications for ou
 r understanding of memory\, and reveal both conserved and distinct synapti
 c properties between mice and humans\, suggesting that human mossy fibers 
 are not a simple scaled version of their rodent counterpart.
LOCATION:Central Bldg / O1 / Lecture Hall (I02.O1.014) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Silvia Jamrichova: Thesis Defense: Timing and strength of synaptic 
 transmission at hippocampal mossy fiber synapses in mice and humans
URL:https://talks-calendar.ista.ac.at/events/6570
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1786021200@ist.ac.at
DTSTART:20260806T150000
DTEND:20260806T160000
DESCRIPTION:Speaker: Peipeng Lin\nhosted by Charles Roques-Carmes\nAbstract
 : The hippocampal mossy fiber (MF) to CA3 pyramidal neuron synapse plays a
  key role in hippocampal information processing\, acting as a teacher syna
 pse that can conditionally drive postsynaptic firing and instruct informat
 ion storage in the downstream CA3 network. How the detonation properties o
 f this synapse are kept in check remains unclear. Our study demonstrates t
 hat CA3 stratum lucidum interneurons inhibit MF synaptic transmission via 
 presynaptic GABAB receptors. Pharmacological activation of these receptors
  by baclofen markedly reduced MF synaptic transmission\, switching the syn
 apse from a reliable conditional detonator into a coincidence-detecting su
 bdetonator. We identified a dual mechanism underlying this presynaptic inh
 ibition: a reduction in Ca² influx and\, more substantially\, a decrease 
 in the readily releasable pool of synaptic vesicles. Synaptically released
  GABA\, evoked by optogenetic stimulation of stratum lucidum interneurons 
 at in vivo-like frequencies\, produced comparable effects and further inte
 rfered with the stability of the short-term plasticity-associated vesicle 
 pool engram\, pointing to a physiological role for presynaptic inhibition.
  Expansion microscopy showed that interneuron terminals are positioned in 
 close proximity to MF boutons\, providing a structural basis for GABA spil
 lover onto presynaptic receptors. Together\, our findings reveal how inter
 neuron activity calibrates synaptic efficacy and plasticity at MF synapses
  through presynaptic inhibition\, with implications for memory encoding in
  the hippocampal trisynaptic circuit.
LOCATION:Central Bldg / O1 / Lecture Hall (I02.O1.014) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Peipeng Lin: Thesis Defense:  	Calibrating the Teacher Synapse: Mec
 hanisms and Functional Significance of Presynaptic Inhibition at Hippocamp
 al Mossy Fiber Synapses
URL:https://talks-calendar.ista.ac.at/events/6569
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1786606200@ist.ac.at
DTSTART:20260813T093000
DTEND:20260813T103000
DESCRIPTION:Speaker: Manjunath Javoor\nhosted by Rafal Klajn\nAbstract: Cel
 l motility depends on the protrusive force generated by the actin cytoskel
 eton at the leading edge of cells. In lamellipodia\, thin protrusions at t
 he front of migrating cells\, actin forms higher-order networks with versa
 tile physical properties. Previous studies have hinted at the presence of 
 different sub-populations of filaments and their spatial organization with
 in actin filament networks at the leading edge of migrating cells. Due to 
 limitations of existing experimental methods\, it has not been possible to
  fully describe the complexity of the actin filament populations involved 
 in protrusions at the leading edge.Cryo-electron tomography (cryo-ET) has 
 been used to describe the actin networks in cellular protrusions at single
  filament resolution in 3D. However\, these descriptions have been limited
  to 1-2 μm2 area of the protrusions\, providing merely snapshots of much 
 larger assemblies that span serval tens to hundreds of square microns area
 . Consequently\, they have not provided a holistic overview of the existin
 g variability within actin networks. We therefore lack a comprehensive und
 erstanding of how actin network geometries orchestrate cell migration.To a
 ddress these challenges\, I developed a montage cryo-electron tomography w
 orkflow to obtain three-dimensional views of lamellipodial regions coverin
 g areas of up to 100 μm2 at single-filament resolution. Seamless three-di
 mensional tomogram stitching is achieved by combining neural-network-based
  denoising strategies with novel optical-flow-based algorithms\, thereby p
 reserving filament continuity across large reconstructed volumes. Our comp
 utational analysis pipeline enabled us to vectorize all filaments within t
 hese volumes\, including filaments reaching lengths of up to 4 μm. The da
 ta generated here represent a valuable resource for the actin community\, 
 as they provide one of the most detailed and extensive three-dimensional d
 escriptions of actin filament architecture in the lamellipodium. Specifica
 lly\, they reveal accurate F-actin concentrations\, filament length distri
 butions\, connectivity\, and the spatial organization of filament sub-popu
 lations. These datasets can be used to support and constrain biophysical a
 nd theoretical models of actin network organization\, dynamics\, and force
  generation.
LOCATION:Sunstone Bldg / Ground floor / Big Seminar Room B / 63 seats (I23.
 EG.102) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Manjunath Javoor: Thesis Defense: Large-scale imaging of cellular a
 ctin networks at single-filament resolution using montage cryo-electron to
 mography
URL:https://talks-calendar.ista.ac.at/events/6576
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1786623300@ist.ac.at
DTSTART:20260813T141500
DTEND:20260813T151500
DESCRIPTION:Speaker: Vicente Luis Diaz Melian\nhosted by Kimberly Modic \nA
 bstract: When a Leidenfrost droplet floats on its own vapor layer\, the in
 terplay between vapor pressure\, surface tension\, and gravity determines 
 its shape\, and in the stable regime the underside of the droplet exhibits
  curvature inversion. Using interferometric imaging\, we observe a differe
 nt behavior for a levitated hydrogel sphere. Curvature inversion appears b
 riefly after deposition\, but the continuous vaporization process removes 
 this feature\, leading first to an oscillatory regime and eventually to a 
 steady state without curvature inversion. We demonstrate the essential rol
 e of vaporization in shaping the hydrogel underbelly\, where direct mass l
 oss has a stronger influence than the balance between vapor pressure and e
 lastic forces.
LOCATION:Central Bldg / O1 / Lecture Hall (I02.O1.014) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Vicente Luis Diaz Melian: Thesis Defense: The morphology underneath
  a levitated hydrogel sphere
URL:https://talks-calendar.ista.ac.at/events/6561
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1786975200@ist.ac.at
DTSTART:20260817T160000
DTEND:20260817T170000
DESCRIPTION:Speaker: Kevin Kögler\nhosted by Krzysztof Pietrzak\nAbstract:
  Modern datasets often contain as many variables as observations\, or many
  more\, making classical statistical tools difficult to apply and standard
  machine-learning models hard to understand. To address this problem\, thi
 s thesis develops methods for inference and compression in this high-dimen
 sional regime\, centered on approximate message passing (AMP)\, a family o
 f iterative inference algorithms which are conjecture to be optimal for ma
 ny of these problems.First\, we introduce rotationally invariant generaliz
 ed AMP (RI-GAMP)\, extending AMP beyond independent Gaussian design matric
 es to a broad class of matrices with complex correlations and arbitrary li
 miting spectra. We characterize its performance rigorously through state e
 volution and show that it approaches the performance of Vector AMP while a
 voiding its computationally expensive singular-value decomposition.We then
  study nonlinear autoencoders when the input and compressed dimensions gro
 w proportionally. For Gaussian data\, we derive fundamental limits for one
 -bit compression by shallow two-layer autoencoders\, characterize their op
 timal solutions\, and prove that gradient methods reach them. For structur
 ed data\, however\, a shallow linear decoder may ignore information such a
 s sparsity and behave exactly as it does for Gaussian inputs. Adding nonli
 nearities or depth overcomes this limitation: deeper decoders can learn co
 mputations closely related to AMP and approach optimal reconstruction for 
 a fixed encoder.Finally\, we apply these ideas to predict plasma-protein a
 bundance from UK Biobank individual-level genetic data\, using approximate
 ly 8.4 million genetic variants from roughly 40\,000 individuals. A two-st
 age genetic Vector AMP pipeline first selects a small set of predictive ge
 nomic regions and then fits more detailed linear or tree-based models. Com
 bined with a one-hot representation of the genotype data\, this procedure 
 closes the previously reported average gap between linear and deep-learnin
 g prediction and improves prediction for many proteins in a proteome-wide 
 comparison. 
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 ) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Kevin Kögler: Thesis Defense: Compression and Inference in High Di
 mensions: An Approximate Message Passing Perspective
URL:https://talks-calendar.ista.ac.at/events/6577
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1788267600@ist.ac.at
DTSTART:20260901T150000
DTEND:20260901T160000
DESCRIPTION:Speaker: Jonas Ingmanns\nhosted by Monika Henzinger\nAbstract: 
 Precise microscopic models of physical processes are often too complex to 
 be useful for understanding or simulating phenomena on a macroscopic scale
 . The complexity can be drastically reduced if there is a suitable approxi
 mation which still accurately captures the effective large-scale behavior 
 of the underlying model. This thesis contains contributions to the rigorou
 s justification of such large-scale approximations  or three different mo
 dels. Chapter 2 presents joint work with Federico Cornalba\, Julian Fisch
 er\, and Claudia Raithel. We consider a large system of weakly interacting
  particles\, driven by independent Brownian motions. The physicists Dean a
 nd Kawasaki proposed a strongly singular SPDE to describe fluctuations of 
 the particle density. However\, without a suitable regularization\, the De
 an–Kawasaki equation has been shown to be ill-posed in the sense that it
  does not admit martingale solutions for any continuous initial data. We s
 how that a structure-preserving discretization of the Dean–Kawasaki equa
 tion – acting as a suitable regularization – captures the density fluc
 tuations of the particle system up to arbitrary order in the inverse numbe
 r of particles and a discretization error. Chapter 3 presents joint work 
 with Elisa Davoli and Lorenza D’Elia. We consider a magnetic body consis
 ting of a composite material with a random microstructure. The oscillating
  magnetic properties are encoded in the micromagnetic energy functional wh
 ich is restricted to functions taking values on the sphere\, governing the
  observable states of magnetization. We obtain a qualitative stochastic ho
 mogenization result in the form of Γ-convergence. The Γ-limit is a micro
 magnetic energy functional with constant\, deterministic coefficients\, me
 aning that the magnetic body can be treated as if consisting of a single m
 aterial when the microstructure is small enough. On a technical level\, we
 obtain an analogous result replacing the sphere with other sufficiently re
 gular manifolds.Chapter 4 and Chapter 5 present joint work with Julian Fis
 cher. We consider interface motions driven by curvature and a uniform forc
 ing through a stationary field of possibly impenetrable random obstacles s
 atisfying a finite range of dependence assumption. This process models\, e
 .g.\, the motion of dislocation lines or magnetic domain boundaries in mat
 erials with inhibiting impurities. In Chapter 5\, for dimension  = 2\, we 
 introduce an easy-to-check criterion for general obstacle fields which imp
 lies ballistic behavior. More precisely\, this criterion yields an almost 
 guaranteed effective minimum speed on large scales for the interface motio
 n \, with ‘effective’ meaning that enclosures left behind a main front
  can be ignored. In Chapter 4\, for any dimension  ≥ 2\, assuming such a
 n almost guaranteed effective minimum speed\, we obtain a quantitative sto
 chastic homogenization result in any dimension\, proving that the main fro
 nt can be approximated with a constant-speed motion on large scales.
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 ) and Zoom\, ISTA
ORGANIZER:
SUMMARY:Jonas Ingmanns: Thesis Defense: On the large-scale behavior of inte
 racting particle systems\, composite magnetic materials\, and interface mo
 tions through random obstacle fields
URL:https://talks-calendar.ista.ac.at/events/6560
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260805T014740Z
UID:1788951600@ist.ac.at
DTSTART:20260909T130000
DTEND:20260909T140000
DESCRIPTION:Speaker: Andrea Stöllner\nhosted by Jorryt Matthee\nAbstract: 
 Charge accumulation on aerosol particles plays an important role in a vari
 ety of natural and industrial processes. An example is cloud electrificati
 on\, in which collisions between ice crystals and graupel cause large amou
 nts of charge to be exchanged between airborne particles. Optical tweezers
  are a highly specialized tool that can hold a single micrometer-sized air
 borne particle stably in the same position over weeks while measuring its 
 electric charge with elementary-charge resolution. In this work\, we show 
 that the trapping laser can also be used to give charge to the micropartic
 le. Via a two-photon process the particle acquires more and more positive 
 charge\, enabling us to study its electrical behavior from uncharged up to
  multiple hundred elementary charges. By studying the dynamics of such hig
 hly charged particles over days and weeks we find that they spontaneously 
 undergo microdischarges which range from just a few to several hundred ele
 mentary charges. We show that these discharges are triggered by cosmic-ray
  muons which pass through the air close to the particle and supply the ion
 s needed to cause charge loss. Our findings highlight the potential of aer
 osol optical tweezers to provide new insights into microscale charging and
  discharging phenomena\, with implications for both fundamental studies an
 d atmospheric electrification processes.
LOCATION:Central Bldg / O1 / Mondi 3 (I01.O1.010)\, ISTA
ORGANIZER:
SUMMARY:Andrea Stöllner: Thesis Defense: Microscale Electrical Behavior of
  Highly Charged Individual Aerosol Particles Using Optical Tweezers
URL:https://talks-calendar.ista.ac.at/events/6572
END:VEVENT
END:VCALENDAR