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Alessandro Chiesa is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, holding positions across multiple departments including Computer Security (COMPSEC), SSC, SIN, and EDIC. His office is located at BC 245 in Building BC, Station 14, Lausanne, Switzerland. Chiesa's research spans cryptography, complexity theory, and computer security, with particular focus on the theoretical foundations and practical implementations of cryptographic proofs that are short and easy to verify. His work bridges theoretical computer science with real-world applications, especially in blockchain technology and privacy-preserving systems. He has made significant contributions to zero-knowledge proof systems, including zkSNARKs, and their applications in cryptocurrency. His publications reveal a strong focus on cryptographic protocols, with particular emphasis on privacy-preserving technologies. The analysis of his articles shows consistent work in applying mathematical foundations to practical security problems, especially in the domain of blockchain and digital currencies. His research demonstrates expertise in both theoretical aspects of cryptography and their implementation in real systems. IEEE SP Test-of-Time Award (2024) Sloan Research Fellowship (2021) Okawa Foundation Research Grant (2020) Google Faculty Research Awards (2018 and 2017) MIT Technology Review's 35 Innovators Under 35 list (2018) Chiesa has supervised multiple PhD students including Di Zijing, Fenzi Giacomo, Guan Ziyi, Knabenhans Christian Louis, Manzur Ignacio, Weissenberg Guy, and Zheng Yuxi. His teaching includes Algorithms I, Foundations of Probabilistic Proofs, and Lattice-based Cryptography. He co-founded Zcash and StarkWare Industries, translating his theoretical research into practical applications that have significantly impacted the cryptocurrency space.

• Cryptography
• Complexity Theory
• Computer Security
• +3 more

Joachim Rosenthal is a Professor of Applied Mathematics at the University of Zurich's Department of Mathematics, leading the Applied Algebra Group. His research integrates coding theory, cryptography, and algebraic geometry with applications in communications and security systems. His primary research explores algebraic coding theory including convolutional codes, subspace codes, and post-quantum cryptography. He develops algorithms for error correction, code optimization, and cryptographic protocol analysis, with emphasis on mathematical structures in finite fields and rings. Professor Rosenthal serves as President of the Swiss Mathematical Society (2024-2025) and sits on IEEE Information Theory Society's Board of Governors. He has organized multiple international conferences on coding theory and cryptography, including the Zurich COST Meeting and Workshop on Convolutional Codes. His editorial contributions include roles at Archiv der Mathematik and SIAM Journal on Applied Algebra and Geometry. Recent publications focus on code construction methods, complexity analysis in group-based cryptography, and algebraic approaches to error-correcting codes.

• Coding Theory
• Cryptography
• Algebraic Geometry
• +2 more

David Basin is a Full Professor at the Department of Computer Science, ETH Zurich, and heads the Information Security Group. He has held academic positions since 2003, including roles at the University of Freiburg (1997–2002) and the Max-Planck-Institut für Informatik (1992–1997). His research focuses on Information Security, including methods and tools for secure systems, formal verification, and cryptographic protocols. He is Editor-in-Chief of the ACM Transactions on Privacy and Security and Springer's Information Security and Cryptography book series. Basin founded the Zurich Information Security Center (ZISC) in 2003 and led it until 2011. Education: B.Sc. in Mathematics (Reed College, 1984), Ph.D. (Cornell University, 1989), and Habilitation (University of Saarbrücken, 1996). Research interests span formal methods for security protocol verification, privacy-preserving systems, and cryptographic implementations. He has contributed to foundational work on security protocols, including the Tamarin verification framework. His work addresses real-world systems like payment protocols (EMV), DNS security, and database isolation guarantees. Awards: ACM Fellow (2018) for contributions to Information Security and Formal Methods, IEEE Fellow. He has organized numerous conferences, including IEEE S&P, Euro S&P, and ACM CCS. Labs/Teams: Leads the Information Security Group at ETH Zurich and co-founded Anapaya Systems, a startup focused on network security solutions. His team develops tools like VeriMon (formally verified monitoring) and Tamarin for protocol analysis.

• Information Security
• Formal Methods
• Cryptography
• +3 more

Cecilia Boschini is a Researcher affiliated with the Institute for Theoretische Informatik (Theoretical Computer Science) at ETH Zürich. Her work focuses on advanced cryptographic systems, particularly in post-quantum cryptography, lattice-based protocols, and privacy-preserving technologies. She contributes to developing secure digital signature schemes, threshold cryptography, and efficient cryptographic algorithms resistant to quantum computing threats. Her research bridges theoretical foundations with practical applications in cybersecurity and distributed systems. Key contributions include innovations in fail-stop signatures, two-round threshold signatures (Ringtail), and lattice-based multi-signature systems (MuSig-L). Boschini’s work emphasizes balancing security with efficiency, often addressing challenges in mobile device security and memory encryption. She has published extensively in top-tier venues, with a focus on cryptographic protocols that enhance privacy and data integrity without compromising usability.

• Cryptography
• Post-Quantum Cryptography
• Lattice-Based Cryptography
• +3 more

Rachid Guerraoui is a Full Professor at the École polytechnique fédérale de Lausanne (EPFL) where he leads the Distributed Computing Laboratory (DCL) within the School of Computer and Communication Sciences. He holds appointments in multiple departments including IC-SSC and IC-SIN for teaching, and serves on the IC Academic Evaluation Committee. A Moroccan/Swiss/French researcher, Guerraoui has previously been affiliated with Commissariat à l'Energie Atomique in Saclay, Hewlett-Packard Labs in Palo Alto, the Massachusetts Institute of Technology in Boston, and Collège de France in Paris. Guerraoui's research focuses on distributed and concurrent computing across various scales, from multiprocessors to wide-area networks. His work spans Byzantine fault tolerance, distributed machine learning, blockchain technologies, transactional memory, and consensus algorithms. His recent publications reveal a strong emphasis on Byzantine-resistant machine learning, decentralized learning systems, and the theoretical foundations of distributed consensus. The research demonstrates significant contributions to making distributed systems more robust, efficient, and secure against adversarial conditions. Guerraoui has received numerous prestigious awards including ACM Fellow (2012), Professor at College de France (2018), Nygaard-Dahl Award (2024), and Barroso Award (2025). His work has earned multiple best paper awards at top conferences including DISC, ICDCS, IPDPS, and ACM Middleware. He serves as Associate Editor of the Journal of the ACM (2010-2025) and has chaired program committees for major conferences such as PODC, DISC, and Middleware. As an educator, Guerraoui supervises numerous doctoral students and has mentored many successful researchers who now work at leading institutions and companies including Meta, Oracle Labs, Chainlink Labs, and Protocol Labs. He teaches courses on Distributed Algorithms and Concurrent Algorithms at EPFL, emphasizing both theoretical foundations and practical implementations. His educational initiatives include Wandida, a library of scientific e-synopses, and Zettabytes, projects aimed at making computer science accessible to broader audiences.

• Distributed Computing
• Concurrent Computing
• Byzantine Fault Tolerance
• +7 more

Prof. Dr. Willi Meier serves as a Lecturer for mathematics and cryptology at the Institute for Sensors and Electronics within the School of Engineering and Environment at FHNW (University of Applied Sciences and Arts Northwestern Switzerland) in Windisch, Switzerland. With an extensive publication record spanning over three decades (1988-2025), he maintains an active research profile in cryptographic analysis. Dr. Meier's research primarily focuses on cryptanalysis of symmetric cryptographic primitives, with particular expertise in stream ciphers, block ciphers, and hash functions. His work frequently employs algebraic techniques, differential cryptanalysis, and mathematical modeling approaches to analyze cryptographic security. Recent research has centered on analyzing modern ciphers like Grain, Keccak, RIPEMD-160, and various lightweight cryptographic designs, often developing novel attack methodologies such as coefficient grouping and algebraic meet-in-the-middle approaches. His publication trends over the last five years show consistent high productivity in top-tier venues including CRYPTO, EUROCRYPT, ASIACRYPT, and IACR Transactions on Symmetric Cryptology. The research spans both theoretical advancements in cryptanalytic techniques and practical applications to real-world cryptographic standards. A significant portion of his recent work involves collaborations with international researchers, particularly Fukang Liu, Takanori Isobe, and Santanu Sarkar, reflecting his integration within the global cryptographic research community. Dr. Meier's work has practical implications for cryptographic standardization and implementation security, with analyses of protocols used in telecommunications (TETRA), lightweight IoT applications, and post-quantum cryptographic candidates. His research continues to contribute to the fundamental understanding of symmetric cryptographic primitives and their security margins.

• Cryptography
• Cryptanalysis
• Stream Ciphers
• +5 more

Stefan Wolf is a Full Professor in the Department of Informatics at the Università della Svizzera italiana (USI), Lugano. He has held academic roles since 2005, including Associate Professor at USI (2011–present), SNF Professor for Quantum Information at ETH Zürich (2005–2011), and Assistant Professor positions at the University of Waterloo and Université de Montréal. His research focuses on cryptography, information theory, and quantum information processing, emphasizing provably secure cryptographic systems using weak classical or quantum-physical primitives. Education: Dipl. Math. ETH (Mathematics) PhD in Computer Science from ETH Zurich, supervised by Prof. Ueli Maurer Research Interests: Dr. Wolf’s work bridges theoretical foundations and applied aspects of information security. Key areas include cryptographic protocol design, quantum communication theory, and the integration of quantum mechanics into computational systems. His group, the Cryptography and Quantum Information group , explores cutting-edge topics such as post-quantum cryptography and quantum-resistant algorithms. Labs/Teams: Leads the Cryptography and Quantum Information research group at USI, fostering interdisciplinary projects in secure information processing.

• Cryptography
• Information Theory
• Quantum Information Processing
• +3 more

Adrian Perrig is a Full Professor at the Department of Computer Science at ETH Zürich. He leads research in network security, distributed systems, and internet architecture, focusing on projects like the SCION secure internet architecture and its commercialization through Anapaya Systems. His work emphasizes secure communication, denial-of-service defense, and public key infrastructure (PKI) innovations. Affiliations: ETH Zürich, Institute for Information Security Key Contributions: SCION, SAGE, RHINE, F-PKI Research interests include path-aware networks, cryptographic protocols, and resilient systems. His publications span over 295 results since 2005, with notable awards including the Best Paper Award (CoNEXT 2021) and ANRP 2023. He has contributed to foundational work in secure routing, DNS security, and GPU attestation. Scientific awards include Best Paper Awards at CoNEXT and ACM SIGCOMM, as well as recognition for applied networking research. His work bridges academia and industry, addressing challenges in global network security and scalability.

• Network Security
• Cybersecurity
• Distributed Systems
• +3 more

Prof. Robert Grass is a Lecturer at the Department of Chemistry and Applied Biosciences at ETH Zurich, affiliated with the Institute for Chemical and Bioengineering Sciences. His research focuses on innovative applications of nanotechnology, DNA-based storage systems, and sustainable catalytic processes for CO2 valorization. Grass has pioneered silica-encapsulated DNA technologies for traceability in healthcare, environmental monitoring, and anti-counterfeiting measures. His work bridges chemical engineering with information technology, addressing challenges in long-term data preservation and molecular-level security. Current projects include developing compostable DNA storage materials and designing catalysts for methanol synthesis from CO2, contributing to both environmental sustainability and energy systems. Grass's interdisciplinary approach integrates nanomaterials design, enzymatic processes, and machine learning to advance next-generation storage and sensing technologies. Research Interests: Development of DNA-based storage systems with error-correction mechanisms Nanoparticle engineering for medical and environmental applications Catalytic materials for CO2 conversion and green chemistry Bio-inspired security systems using molecular randomness Sustainable materials for long-term data preservation His recent work highlights advancements in silica-encapsulated DNA tracers for tracking pathogen transmission dynamics, as well as low-nuclearity catalysts enabling efficient methanol synthesis from CO2. Grass actively explores the intersection of nanotechnology and digital information, including cryptographic applications leveraging DNA's inherent complexity.

• Chemical Engineering
• Materials Science
• Nanotechnology
• +3 more

Chen-Da Liu-Zhang is a Lecturer and Researcher at the Lucerne University of Applied Sciences and Arts, leading the Information Systems Lab and Blockchain Lab. He is also a Research Scientist at the Web3 Foundation. His academic journey includes a PhD from ETH Zurich (advised by Prof. Ueli Maurer), a master's degree from ETH Zurich, and dual bachelor's degrees in computer science and mathematics from Universidad Autónoma de Madrid. His research focuses on secure distributed systems, encompassing cryptography, distributed computing, multi-party computation (MPC), blockchain technology, consensus protocols, and quantum computing security. Key areas include asynchronous protocols, communication complexity, constructive cryptography, and network-agnostic security. Recent work emphasizes optimizing cryptographic broadcast protocols, achieving efficient MPC with linear communication, and advancing blockchain-related flooding protocols. He has contributed to over 40 publications in top venues like CRYPTO, EUROCRYPT, and TCC. His lab leadership positions reflect his role in bridging academic research with practical applications in distributed systems. Serving on program committees for CT-RSA 2025, S&P 2025, and Asiacrypt 2024 highlights his active role in the cryptography community. Notable collaborations include work with Prof. Vipul Goyal at Carnegie Mellon University and NTT Research.

• Cryptography
• Distributed Computing
• Secure Multi-Party Computation (MPC)
• +7 more

Anna-Lena Horlemann is an Associate Professor for Foundations of Computation at the School of Computer Science, University of St. Gallen. Her research focuses on algebraic coding theory, post-quantum cryptography, and network coding. She leads the Coding Theory and Cryptography research group, actively contributing to NIST's post-quantum standardization efforts. Her work addresses quantum computing threats to current cryptosystems and develops error-correcting codes for reliable data transmission and storage. Education: PhD in Mathematics from the University of Zurich (2013), supervised by Prof. Joachim Rosenthal. Diploma in Mathematics from Ruhr-Universität Bochum. Research interests span coding theory (e.g., rank-metric codes, subspace codes), cryptography (code-based systems, privacy protocols), and neuroinformatics (connectome analysis). Recent publications emphasize Lee metric applications, MDS code classification, and cryptanalysis of Gabidulin-based systems. She mentors doctoral researchers such as Nadja Willenborg and Violetta Weger, focusing on topics like code densities and quantum-resistant algorithms. Her team's work bridges theoretical foundations and practical implementations, with contributions to error-correction resilience and cryptographic security in post-quantum scenarios. No formal awards listed, but actively participates in international conferences (IEEE, CBCrypto) and journal reviews.

• Algebraic Coding Theory
• Post-Quantum Cryptography
• Network Coding Theory
• +3 more

Dr. Andrea Guerrieri is an Associate Professor at the University of Applied Sciences and Arts Valais-Wallis - School of Engineering , specializing in Reconfigurable Computing, Electronics Design Automation (EDA), and Post-Quantum Cryptography . His work focuses on accelerating FPGA compilation through tools like DynaRapid and optimizing security protocols via Dynamatic , with technologies adopted by industry leaders including Intel, AMD-Xilinx, and CERN . He holds a BSc in Industrial Systems and a MSc in Engineering from HES-SO, and teaches courses in Digital Design and Embedded Hardware. BSc HES-SO in Industrial Systems (2019) BSc HES-SO in Computer and Communication Systems (2017) MSc HES-SO in Engineering (2021) Guerrieri’s research bridges High-Level Synthesis (HLS) and Reconfigurable Architectures to enhance FPGA performance for both terrestrial and space applications . His 2025 publications highlight advancements in heterogeneous computing , energy-efficient PQC , and rapid compilation frameworks . Notably, his 2024 work on DynaRapid achieved 20× speedup in C-to-FPGA implementation. Key scientific contributions span dataflow circuit optimization , dynamic scheduling , and automated code transformations . His 2023 book Applications Enabled by FPGA-Based Technology and 2021 textbook System-on-Chip Design with Arm established foundational references in embedded systems. Awards include Best Paper at FPL 2024 , Outstanding TPC Member at DAC 2024 , and IEEE Senior Membership (2021) . 2024: Best Paper Award (FPL), Outstanding Short Paper Award (HPEC) 2023: H-Saber publication on PQC optimization 2021: IEEE Senior Member recognition As Chair of Onboard Computing for the CHEESE-NASA SSERVI consortium, he leads international collaborations with ETH Zurich, University of Geneva, California State University , and companies like NVIDIA, Arm, and NASA . His projects include the Innosuisse-funded DyReCte initiative (2019–2021) for reconfigurable cryptoengines in nanosatellites.

• Reconfigurable Computing
• Electronics Design Automation
• Post-Quantum Cryptography
• +4 more

Andrea Guerrieri serves as an Associate Professor at the School of Engineering, University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis), specializing in reconfigurable computing and electronics design automation. His research has established significant industry impact through tools like DynaRapid and Dynamatic, with technology adopted by major semiconductor companies including MIPS, Intel, and AMD-Xilinx. BSc HES-SO in Industrial Systems - System-on-Chip specialization BSC HES-SO in Computer and Communication Systems - Digital Design specialization MSc HES-SO in Engineering - Embedded Hardware and Firmware specialization Professor Guerrieri's research focuses on reconfigurable computing, electronics design automation (EDA), and security, with particular emphasis on FPGA design, high-level synthesis, and post-quantum cryptography implementations. His work bridges the gap between theoretical computer architecture and practical hardware implementations, with strong applications in space technology and embedded security systems. His recent publications demonstrate increasing focus on energy-efficient implementations for space applications and quantum-resistant cryptographic systems. Analysis of his 15 most recent publications reveals a clear research trajectory toward optimizing FPGA implementations for post-quantum cryptography and space applications. His work consistently addresses the performance bottlenecks in high-level synthesis while maintaining practical applicability for industry partners like NASA, CERN, and major semiconductor companies. The recent surge in best paper awards (three in 2024 alone) reflects growing recognition of his contributions to efficient FPGA compilation techniques and cryptographic implementations. Scientific Awards: Best Paper Award at FPL 2024 Best Paper Award at HPEC 2024 Best Paper Award at ISFPGA 2020 Outstanding Short Paper Award at IEEE HPEC 2024 Outstanding TPC Member Award at DAC 2024 IEEE Senior Member (2021) Multiple Best Paper nominations (FCCM 2022, FPL 2022, HiPEAC 2022) Professor Guerrieri actively participates in international research projects including the DyReCte project (2019-2021) on dynamically reconfigurable cryptoengines for nano-satellites. He currently chairs the Onboard Computing topic for the Swiss consortium CHEESE affiliated with NASA SSERVI and collaborates extensively with industry partners including AMD-Xilinx, NVIDIA, Arm, NASA, and CERN, as well as academic institutions like ETH Zurich and University of Geneva. His current research focuses on developing next-generation EDA tools and reconfigurable computing platforms for both terrestrial and space applications. His laboratory work centers around FPGA-based prototyping and validation, with specialized facilities for space applications testing. Professor Guerrieri leads a research team that includes Andres Upegui, Quentin Berthet, Laurent Gantel, and Gabriel Da Silva Marques, focusing on practical implementations of reconfigurable architectures for security and space applications.

• Reconfigurable Computing
• Electronics Design Automation
• FPGA Design
• +6 more

Francesco Regazzoni is a Senior Researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), and affiliated with the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI). His work bridges embedded systems, cybersecurity, and artificial intelligence, with a focus on securing hardware and cyber-physical systems. Research Interests: His expertise spans embedded and cyber-physical systems security, side-channel attacks, post-quantum cryptography, hardware trojans, random number generators, and the security of AI and approximate computing. He also contributes to hardware/software co-design and operating systems security. The analysis of his recent publications reveals a consistent focus on hardware and system-level security , particularly in resource-constrained environments like IoT and embedded devices. His work integrates machine learning for attack detection and applies formal methods to ensure trust in hardware. A growing emphasis is placed on securing AI systems from physical and adversarial threats. Scientific Contributions: Over 100 peer-reviewed publications One book and one patent Extensive international collaboration (Belgium, Netherlands, USA, Switzerland, Singapore) Advising and Grants: While specific advisees and grants are not listed, his leadership in funded research projects and involvement with ALaRI and IDSIA suggest active mentorship and project coordination. His work has been supported by industry (e.g., ST Microelectronics, HP), the Swiss National Foundation, and the European Union. Labs and Teams: He is part of the Graph Machine Learning Group (GMLG) at IDSIA, which evolved from the Advanced Learning and Research Institute (ALaRI). This group focuses on graph machine learning, reinforcement learning, and dynamical systems, particularly in non-stationary environments.

• Security
• Embedded Systems Security
• Cyber-Physical Systems Security
• +13 more

Suryanarayana Sankagiri is a postdoctoral researcher at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, affiliated with the Information and Network Dynamics (INDY1) group under Professor Matthias Grossglauser. Previously, he earned his Ph.D. in Electrical & Computer Engineering (2018-2022) from the University of Illinois at Urbana-Champaign , where he was supervised by Bruce Hajek and participated in the Coordinated Science Lab . He also holds an M.S. in Electrical & Computer Engineering from the University of Illinois (2016-2018) and a B.Tech. in Electrical Engineering from the Indian Institute of Technology Bombay (2012-2016). Education : Ph.D., Electrical & Computer Engineering, University of Illinois (2018-2022) M.S., Electrical & Computer Engineering, University of Illinois (2016-2018) B.Tech., Electrical Engineering, IIT Bombay (2012-2016) Suryanarayana's research focuses on discrete choice models and their application to recommendation systems , with a particular emphasis on learning from choice data and developing novel models for human decision-making. His broader interests include blockchain security under adverse network conditions, network dynamics , probabilistic modeling , and algorithm design . Recent work explores nonconvex matrix factorization and contextual dueling bandits for recommendation systems. His publications span theoretical and applied domains, including high-impact venues like ICML , Stochastic Systems , and IEEE Transactions on Networking . Themes include blockchain efficiency , hidden community detection in preferential attachment graphs, and temporal analysis of Indian classical music. Current projects involve refining recommendation systems through sparse comparison data and designing protocols for resilient blockchain networks. Scientific Awards : zkCapital Paper of the Week (2021) Rambus Fellowship (2021) Mavis Future Faculty Fellowship (2019) List of Teachers Ranked as Excellent (2019) Nomination for IIT Bombay Undergraduate Colloquium (2016) Best Poster Award, IIT Bombay Undergraduate Research Symposium (2013) Suryanarayana has advised no students listed in the provided materials. His work has been supported by fellowships such as the Mavis Future Faculty Fellowship and Rambus Fellowship . He contributes to the INDY1 group at EPFL, which investigates information and network dynamics through interdisciplinary approaches combining probability , network theory , and algorithmic design .

• Discrete Choice Models
• Recommendation Systems
• Blockchain Security
• +4 more