جست‌وجوی استاد و پژوهشگر

Nicolas Boumalمشاهده پروفایل

استادیار

• Optimization
• Non-convex Optimization
• Riemannian Manifolds
• +۵ مورد دیگر

Nicolas Boumal is an Assistant Professor in Mathematics at EPFL, Switzerland, holding dual affiliations in the Continuous Optimization Chair (OPTIM) within the Institute of Mathematics (MATH) and the SMA Education Group. He leads research in optimization on Riemannian manifolds, non-convex optimization, and statistical estimation. His work bridges geometry, numerical analysis, and applications in cryo-electron microscopy and synchronization problems. Education: PhD in Mathematical Engineering from UCLouvain (2014), postdoctoral research at Inria Paris and Princeton University. Prior to EPFL, he was an Instructor and Assistant Professor at Princeton’s Mathematics Department. Research Interests : Non-convex optimization landscapes, optimization on manifolds, low-rank matrix optimization, synchronization, phase retrieval, and computational methods in cryo-EM. His ERC Starting Grant (GEOSYM, 2022–2027) focuses on geometric and symmetric optimization techniques. Grants & Awards : ERC Starting Grant (2021), SIAM Optimization Prize (2018 for student co-author), and several conference best paper awards. Teaching : Courses include Continuous Optimization (MATH-329), Algebra Linéaire (MATH-111), and graduate-level Optimization on Manifolds (MATH-512). He authored the textbook An Introduction to Optimization on Smooth Manifolds (Cambridge University Press, 2023). Labs & Teams : Heads the OPTIM lab at EPFL, collaborating with global researchers in optimization and applications. His group develops the Manopt toolbox for manifold optimization.

• FPGA-Based Systems
• Reconfigurable Architectures
• Embedded Systems
• +۵ مورد دیگر

Laurent Gantel is a Researcher at the Haute école du paysage, d'ingénierie et d'architecture de Genève (Geneva School of Engineering and Architecture), part of HES-SO University of Applied Sciences and Arts Western Switzerland. His role focuses on FPGA-based technologies, embedded systems, and reconfigurable architectures. He holds a BSc in Information Technology Engineering from the same institution. Key research areas include FPGA design, heterogeneous computing, and cryptographic hardware for space applications. Notable projects include developing fault-tolerant FPGA platforms for nano-satellites and embedded systems for monitoring physical activity in wheelchair users. He collaborates with teams across HES-SO and industry partners like Cysec S.A. His work spans over 8 years of projects funded by HES-SO, Innosuisse, and other academic partners, totaling CHF 1.3+ million. Projects include the DyReCte cryptographic engine for satellites and the ACTIDOTE wheelchair activity tracking system.

• Financial Engineering
• Machine Learning in Finance
• Portfolio Management
• +۶ مورد دیگر

Peter Schwendner is a Professor at the School of Management and Law , Zurich University of Applied Sciences . His work bridges finance, machine learning, and sustainable investing, with a focus on robust portfolio construction and risk management. Role: Head, Institute of Wealth & Asset Management Location: Winterthur, Switzerland Research Interests include: Explainable Machine Learning Portfolio Optimization Correlation Regimes Quantitative Finance Digital Assets Sustainable Finance Recent Article Trends highlight synthetic correlation matrix generation, biodiversity risk assessment, and blockchain applications. His work frequently integrates GPU computing, Monte Carlo simulation, and network analysis to enhance financial modeling. Labs & Teams : He leads the Institute of Wealth & Asset Management and collaborates with institutions like Munich Reinsurance Company and European Stability Mechanism on financial risk frameworks.

• Embedded Systems
• Internet of Things (IoT)
• Smart Mobility
• +۶ مورد دیگر

Vannel Fabien is a Full Professor at the Haute école du paysage, d'ingénierie et d'architecture de Genève (HEPIA), part of the HES-SO University of Applied Sciences and Arts. He is affiliated with the Technical and IT School and the Department of Computer Science and Communication Systems. His research focuses on embedded systems, IoT, FPGA-based architectures, neuromorphic computing, and quantum communication technologies. Education: PhD in Bio-inspired Computing (2007), École Polytechnique Fédérale de Lausanne (EPFL), supervised by Daniel Mange Research Interests: Development of self-organizing neuromorphic hardware architectures (SOMA project) High-performance FPGA-based platforms for IoT security and random number generation Cellular computing inspired by biological systems 3D Network-on-Chip (NoC) architectures and dynamic resource allocation Quantum key distribution (QKD) systems for secure communication His work combines hardware design with bio-inspired algorithms, aiming to create adaptive, energy-efficient computing systems. Recent projects include SCALPsim (a 3D NoC modeling tool) and FPGA-based validation platforms for TRNGs. Grants & Projects: Principal investigator for SOMA (2018-2021, SNSF-funded CHF 461,238) Co-applicant for iNUIT-2014 ArchSensor (2014-2015, HES-SO-funded CHF 220,000) Contributor to heterogeneous computing platforms (AcceleRation, 2013-2014) Labs & Teams: Lead researcher in the SOMA team at HES-SO, collaborating with institutions like Université de Nice and INRIA.

Renato Rennerمشاهده پروفایل

استاد

• Quantum Information Science
• Quantum Thermodynamics
• Foundations of Quantum Physics
• +۲ مورد دیگر

Renato Renner is a Full Professor of Theoretical Physics and Head of the Institute for Theoretical Physics at ETH Zürich. He specializes in Quantum Information Science, Quantum Thermodynamics, and the Foundations of Quantum Physics. Born in Lucerne, he earned his physics degrees from EPF Lausanne and ETH Zurich, with a PhD focused on quantum cryptography. After postdoctoral work at the University of Cambridge, he joined ETH Zurich in 2007, progressing through academic ranks to Full Professor by 2015. His research group, the Research Group for Quantum Information Theory, explores cutting-edge topics like quantum key distribution, device-independent protocols, and the thermodynamic limits of quantum processes. His work bridges theoretical physics and applied cryptography, with contributions to quantum security, entropy accumulation, and foundational questions in quantum mechanics. Notable projects include the Space QUEST mission proposal to test quantum decoherence due to gravity and the development of rigorous security frameworks for quantum communication. Renner’s publications span foundational quantum theory, cryptographic protocols, and interdisciplinary applications of quantum information principles.

• Theoretical Physics
• Statistical Mechanics
• Condensed Matter Physics
• +۳ مورد دیگر

Dr. Damien Barbier is a researcher specializing in theoretical physics, with a focus on statistical mechanics, condensed matter physics, and neural networks. His work bridges computational and theoretical approaches to understanding complex systems. Research Interests : Disordered systems, optimization algorithms, and quantum transport phenomena. Publications : Active in journals like SciPost Physics , with contributions to high-dimensional geometry and thermalization in harmonic models. Scientific Contributions : His recent articles explore anomalous transport in Anderson models, connected-solutions states in perceptrons, and generalized Gibbs ensembles. These works highlight interdisciplinary methods combining physics and machine learning.

• Cryptography
• Cryptographic Protocols
• Information Security
• +۳ مورد دیگر

Dr. Michael Reichle is a Researcher at the Department of Computer Science, ETH Zürich, Switzerland. His work focuses on advanced cryptographic protocols, with particular emphasis on threshold signatures, blind signatures, and privacy-preserving technologies. He is affiliated with the Professur für Informatik (Computer Science Professorship) and contributes to cutting-edge research in cryptography and information security. Reichle's research interests include lattice-based cryptography, cryptographic protocol design, and secure computation. His recent work explores efficient blind signature schemes, cryptanalysis of isogeny-based systems, and forward-secure searchable encryption. His publications span topics like threshold cryptography, zero-knowledge proofs, and privacy-preserving authentication mechanisms. He has developed innovative cryptographic primitives such as Hermes for I/O-efficient searchable encryption and the TRaccoon threshold signature framework. His contributions emphasize practicality and security under standard assumptions, often avoiding reliance on cryptographic pairings or complex algebraic structures. No scientific awards or grants are explicitly mentioned in the provided texts. His contact information includes an email address at ETH Zurich's Computer Science Institute.

Fuda van Diggelenمشاهده پروفایل

پژوهشگر

• Swarm Robotics
• Robot Learning
• Machine Learning
• +۴ مورد دیگر

Fuda van Diggelen is a Postdoctoral Researcher at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI) and the Institute of Microengineering (IGM). Their primary research focuses on the intersection of robotics and artificial intelligence, particularly in robot learning and emergent behaviors in swarms. They are part of the Laboratory of Intelligent Systems (LIS), where they investigate adaptive neural networks for distributed learning in robot swarms. Van Diggelen holds a PhD in Evolutionary Robotics from Vrije Universiteit Amsterdam (2024), supervised by Guszti Eiben and Eliseo Ferrante. Their doctoral work explored robot learning algorithms in evolving populations. They also earned two Master’s degrees: Human Movement Science (cum laude) from VU Amsterdam and Mechanical Engineering (Bio-Robotics) from TU Delft. Research interests include embodied intelligence, complex systems, control theory, and applications in healthcare such as ICU data analysis during the COVID-19 pandemic. Notable achievements include a nomination for the Best Master’s Thesis Award at VU Amsterdam and 3rd place in the IEEE RAS Multi Robot Systems (MRS) competition. They have contributed to projects like the Revolve software framework for robot evolution and the Dutch ICU Data Warehouse collaboration. Their work bridges robotics, AI, and healthcare, with a focus on developing adaptive systems for real-world challenges.

Alessandro Sistoمشاهده پروفایل

دانشیار

• Geometric Group Theory
• Hyperbolic Groups
• Geometric Topology
• +۳ مورد دیگر

Alessandro Sisto is an Associate Professor at Heriot-Watt University, specializing in Geometric Group Theory with a focus on generalizations of hyperbolic groups. He leads research in the GGT (Geometric Group Theory) group at Heriot-Watt and advises PhD students including current student Giorgio Mangioni and former students Stefanie Zbinden, Antoine Goldsborough, and Davide Spriano. His work intersects geometric topology, low-dimensional topology, and hyperbolic geometry. Sisto maintains an active blog and collaborates internationally on projects such as the Centre for Doctoral Training in Algebra, Geometry, and Quantum Fields. Education: Completed his PhD at the University of Oxford under the supervision of Cornelia Druțu. Research interests span hierarchical hyperbolicity, coarse median structures, and the interplay between group theory and geometric spaces. His recent articles explore topics like bounded cohomology, asymptotically CAT(0) metrics, and cohomological characterizations of hyperbolicity. Sisto's contributions often blend algebraic, geometric, and probabilistic methods to advance foundational questions in geometric group theory. Labs/Teams: Active member of the GGT group at Heriot-Watt. Collaborations include projects on mapping class groups, Artin groups, and hyperbolic 3-manifolds.

Radu Vintanمشاهده پروفایل

پژوهشگر

• Theoretical Computer Science
• Online Algorithms
• Approximation Algorithms
• +۵ مورد دیگر

Radu Vintan is a Doctoral Assistant and PhD student at École polytechnique fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, affiliated with the Institute of Computer Science and the Theory of Computation Laboratory 2 (THL2). He is part of the Doctoral Program in Computer and Communication Sciences (EDIC). Education: Bachelor's and Master's in Computer Science, Technical University of Munich (TUM), Germany PhD in Computer Science, École polytechnique fédérale de Lausanne (EPFL), Switzerland (ongoing) His primary research interests lie in theoretical computer science , particularly online algorithms and approximation algorithms . He also has experience in machine learning and software engineering . His work often involves algorithmic design and analysis for graph and network problems. The recent publications reflect a strong focus on online edge coloring and network update algorithms , with contributions to top-tier conferences such as FOCS, STOC, SODA, and INFOCOM. These works explore both theoretical limits and practical algorithmic solutions, often bridging deterministic and randomized approaches. Scientific Awards: No awards mentioned. Advising and Grants: Radu Vintan is advised by Professor Ola Svensson. There is no mention of him advising students or receiving independent grants. His research is conducted within the Theory group at EPFL, supported through his Doctoral Assistant position. Laboratories and Teams: He is an active member of the Theory of Computation Laboratory 2 (THL2) at EPFL, contributing to foundational algorithmic research in collaboration with leading experts in theoretical computer science.

Benjamin Wesolowskiمشاهده پروفایل

پژوهشگر

• Cryptography
• Number Theory
• Algebraic Geometry
• +۶ مورد دیگر

Benjamin Wesolowski is a CNRS researcher (chargé de recherche) at the Unité de Mathématiques pures et appliquées (UMPA), École Normale Supérieure de Lyon (ENS Lyon), France. He previously held a CNRS researcher position at the Institut de Mathématiques de Bordeaux (IMB) and completed postdoctoral work at Centrum Wiskunde en Informatica (CWI) in the Netherlands. His research lies at the intersection of mathematics and cryptography, particularly in number theory and algebraic geometry. PhD, EPFL (2018) Master’s in Mathematics, EPFL (2014) Bachelor’s in Mathematics, EPFL (2012) Habilitation (HDR), ENS Lyon (2024) His research focuses on cryptologic algorithms rooted in number theory and algebraic geometry, especially isogeny-based cryptography , post-quantum signatures , and verifiable delay functions . He explores the structure of isogeny graphs of abelian varieties and their applications to blockchain and randomness generation. His work combines deep theoretical mathematics with practical cryptographic design. The most recent articles highlight a consistent trend in isogeny-based cryptography , particularly in constructing compact and secure post-quantum signature schemes like SQISign and PRISM. His contributions also extend to cryptanalysis, as seen in the key recovery attack on SIDH, and foundational work on verifiable delay functions. These works span top-tier venues such as Eurocrypt, Asiacrypt, and PKC, reflecting his leadership in advancing both theoretical and applied aspects of modern cryptography. CNRS 2025 Bronze Medal ERC Starting Grant AGATHA CRYPTY (2023) Secretary of the IACR (elected, 2023) Best paper award PKC 2025 Best paper award Eurocrypt 2024 Top-3 paper Eurocrypt 2023 Best paper award Asiacrypt 2020 Best young researcher paper Eurocrypt 2019 Benjamin Wesolowski has been supported by competitive grants including the ERC Starting Grant AGATHA CRYPTY . He has advised students during his tenure at EPFL as a teaching assistant and likely through doctoral supervision, though specific advisees are not listed. His academic service includes being elected Secretary of the IACR , a major recognition in the cryptology community. He has also received fellowships such as the Doctoral EDIC Fellowship and prizes including the Kudelski Prize and EPFL Prize . His research is conducted primarily within the Unité de Mathématiques pures et appliquées (UMPA) at ENS Lyon, a leading center for mathematical research in France. He was part of the Cryptology Group at CWI under Ronald Cramer during his postdoc and has collaborated extensively with institutions such as EPFL, UC Berkeley, and IMB. His work often bridges theoretical mathematics and practical cryptographic implementation.

Dennis Hofheinzمشاهده پروفایل

استاد

• Cryptography
• Public-Key Cryptography
• Cryptographic Security
• +۳ مورد دیگر

Roles and Affiliations: Dennis Hofheinz is a Full Professor at the Department of Computer Science, ETH Zürich, leading the Foundations of Cryptography Group. He holds a prominent position in theoretical computer science, focusing on cryptographic security and algorithmic foundations. Research Interests: Hofheinz's work centers on practical cryptographic systems with rigorous security guarantees, particularly in public-key cryptography, digital signatures, and modern cryptographic scenarios. He explores advanced topics like indistinguishability obfuscation and structure-preserving cryptography, emphasizing efficiency and real-world applicability. His research integrates theoretical depth with practical implementation considerations. Key Contributions: Hofheinz has pioneered advancements in tightly secure cryptographic primitives, including signature schemes and encryption protocols. His work on 'Bonsai Trees' and lattice-based cryptography has been recognized with Best Paper Awards at EUROCRYPT (2010 and 2016). He also contributes to foundational areas like verifiable random functions and cryptographic protocol design. Publications: Over 180+ peer-reviewed publications in top venues such as CRYPTO, EUROCRYPT, and ASIACRYPT highlight his prolific output. Recent work includes contributions to malleable SNARKs, garbled circuits, and post-quantum security frameworks. Awards and Recognition: Recipient of Best Paper Awards at EUROCRYPT 2010 and 2016 for groundbreaking contributions to lattice-based cryptography and secure encryption schemes.

Meysam Alizadehمشاهده پروفایل

پژوهشگر ارشد

• Political Science
• Digital Media Governance
• Social Network Analysis
• +۳ مورد دیگر

Meysam Alizadeh is a Research Fellow at the Department of Political Science, University of Zurich. His work focuses on digital media governance, social network analysis, and the application of artificial intelligence in political and social contexts. He investigates issues such as platform governance, content moderation, fake news propagation, and the impact of social media on political discourse. Alizadeh has collaborated extensively on projects involving large language models (LLMs) for text annotation, comparing their performance to human workers, and developing methods to detect information operations and hate speech. His research bridges computer science, political science, and data science, addressing both theoretical and applied challenges in digital society. Key areas of investigation include analyzing cryptocurrency market dynamics through social media data, exploring the relationship between Russian information campaigns and hate crimes, and examining conspiracy theory proliferation during the pandemic. He has contributed to methodological advancements in creating national random samples of Twitter users and optimizing LLM-based tools for academic and practical applications. Alizadeh's publications span journals like Political Communication , Scientific Reports , and Proceedings of the National Academy of Sciences , reflecting interdisciplinary collaboration with institutions worldwide. His research often emphasizes the ethical and policy implications of emerging technologies in public communication and governance.

Sebastian Engelkeمشاهده پروفایل

دانشیار

• Extreme Value Theory
• Spatial Statistics
• Graphical Models
• +۵ مورد دیگر

Sebastian Engelke is an Associate Professor at the Research Center for Statistics at the University of Geneva. His research focuses on extreme value theory, spatial statistics, graphical models, and machine learning applications in climate science and risk assessment. He holds an SNSF Eccellenza Grant and has contributed to foundational work on extremal graphical models and causal inference in heavy-tailed systems. Affiliations: University of Geneva, Research Center for Statistics Grants: SNSF Eccellenza Grant (2020–2025), Ambizione Fellowship (2015–2018) Education: PhD in Mathematics (2013, Georg-August-University of Göttingen), studies at UC Berkeley and University of Göttingen. Research Interests Engelke’s work bridges extreme value theory with modern machine learning, addressing challenges in climate extremes, risk quantification, and graphical model structures. Key areas include: Statistical modeling of multivariate extremes Causal discovery in heavy-tailed distributions Applications in environmental science and climate informatics Key Contributions Recent work includes advancements in extremal graphical models (via matrix completions), neural network approaches for extreme quantile regression, and validation methods for deep learning weather models. His research is published in top journals like Annals of Statistics and Journal of the American Statistical Association . Awards & Recognition Lambert Award (2021) Gumbel Lecture (2023) Fields Research Fellowship (2019) Teaching & Supervision Engelke teaches courses on machine learning, probability, and advanced topics in statistics at the University of Geneva. He supervises PhD students and postdocs in machine learning and extreme value theory. His students include Edoardo Vignotto (extremal random forests) and Nicola Gnecco (causal discovery in heavy-tailed models).

Frank Kagan Gürkaynakمشاهده پروفایل

پژوهشگر

• Energy-Efficient Microelectronics
• Cryptographic Hardware Security
• Digital Integrated Circuit Design
• +۴ مورد دیگر

Frank Kagan Gürkaynak is Director of the Microelectronics Design Center (DZ) and a Researcher at ETH Zurich's Department of Information Technology and Electrical Engineering (D-ITET). He leads the PULP open-source hardware project and works closely with Prof. Luca Benini in the Integrated Systems Laboratory (IIS). His academic journey includes BSc/MSc from Istanbul Technical University and a PhD from ETH Zurich. Roles: Microelectronics Design Center Director, Senior Scientist in IIS, VLSI course lecturer Research focuses on energy-efficient digital circuits, cryptographic hardware security, and open-source processor architectures. Key projects include EU-funded initiatives like European Processor Initiative (EPI), Convolve, and NeuroSoC, along with SNSF grants Tiny Trainer and PEDESITE. Active in teaching VLSI design, embedded systems, and essential engineering skills. Publications emphasize secure cryptographic accelerators, low-power processor clusters, and GALS system design methodologies. Contributions include energy-efficient ASICs for IoT to HPC domains and pioneering work in side-channel attack-resistant hardware.