جستجوی استاد راهنمای دانشگاهی

Lenka Marekováمشاهده پروفایل

پژوهشگر

• Cryptography
• Information Security
• Secure Messaging Protocols
• +۳ مورد دیگر

Dr. Lenka Mareková is a postdoctoral researcher in the Applied Cryptography Group at ETH Zürich. Previously, she completed her PhD in the Information Security Group at Royal Holloway, University of London, supervised by Martin R. Albrecht. Affiliation: ETH Zürich - Department of Computer Science Cryptographic analysis of secure messaging platforms Research focus on end-to-end encryption and real-world security implementations Her research interests span cryptographic protocol analysis, secure communication systems, and privacy-preserving technologies. The 10 most recent publications in her DBLP profile reflect expertise in: Secure messaging protocols (Telegram, Delta Chat) Cloud storage security (MEGA analysis) E-voting systems (Zerovote, E-cclesia) Mobile security frameworks (Android policy enforcement) Mesh network vulnerabilities Current work appears to focus on practical cryptographic implementations and their real-world security implications. Contact via hi@lenka.sh or lenka.marekova@inf.ethz.ch .

• Cryptography
• Distributed Computing
• Secure Multi-Party Computation (MPC)
• +۷ مورد دیگر

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.

Suryanarayana Sankagiriمشاهده پروفایل

پژوهشگر

• Discrete Choice Models
• Recommendation Systems
• Blockchain Security
• +۴ مورد دیگر

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 .

Kenneth Patersonمشاهده پروفایل

استاد

• Cryptography
• Information Security
• Applied Cryptography
• +۳ مورد دیگر

Prof. Kenneth Paterson is a Full Professor at ETH Zürich's Department of Computer Science, leading the Applied Cryptography Group. He has held academic positions at Royal Holloway, University of London, and Hewlett-Packard Laboratories. His research focuses on cryptographic protocol analysis, provably secure solutions, and real-world system vulnerabilities. Key contributions include the Lucky 13 TLS attack, analyses of Telegram and OpenPGP, and work on cryptographic transition strategies. He has been recognized with awards such as the Google Distinguished Paper Award, IACR Fellowship, and ETH Golden Owl Teaching Award. His leadership roles include Department Head at ETH Zurich and Programme Chair for EUROCRYPT 2011. Paterson actively engages in standardization efforts through IRTF's CFRG and co-founded the Real World Cryptography workshop series. Education: B.Sc. (Mathematics, University of Glasgow, 1990), Ph.D. (Mathematics, University of London, 1993). Career highlights include EPSRC Leadership Fellowship (2010–2015) and IACR Distinguished Lecture at EUROCRYPT 2025. Research Interests: Cryptography, Information Security, Applied Cryptographic Protocols, TLS Analysis, Post-Quantum Cryptography, and Privacy-Preserving Technologies. Notable projects include cryptographic analysis of TLS, SSH, and cloud storage systems. Awards and Recognition: Google Distinguished Paper Award (2012) Applied Networking Research Prize (2013) IACR Fellow (2017) ETH Golden Owl Teaching Award (2022) Multiple Best Paper Awards at ACM CCS, CHES, and IEEE Security & Privacy Advising and Grants: Supervised students like Francesca Falzon and led projects funded by EPSRC, IRTF, and industry collaborations. Contributions to cryptographic agility and transition strategies for Internet protocols. Labs/Teams: Founder and Head of ETH Zurich's Applied Cryptography Group, associated with the Institute for Information Security. Collaborates with industry on cryptographic protocol development and security audits.

• Distributed Systems
• Networks
• Security
• +۵ مورد دیگر

Patrick Thomas Eugster is a Full Professor of Computer Science at the Università della Svizzera italiana (USI), leading the Software Systems (SWYSTEMS) group within the Computer Systems Institute, which he co-founded. Previously, he held faculty positions at Purdue University (2005-2016) and TU Darmstadt (2014-2017), with a visiting role at MIT (2012/2013). His research focuses on distributed systems, networking, security, and programming languages, with over 160 publications and significant industry collaborations with companies like Amazon, Google, and Facebook. Education: He holds an M.S. (1998) and Ph.D. (2001) in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL). Research Interests: His work addresses distributed systems challenges such as fault-tolerance, security, and efficient resource management. Recent topics include datacenter reliability, quantum network verification, and confidential computing. His team explores intersections between systems, languages, and networks to build robust and secure distributed applications. Publications: Recent work spans topics like failure detection in datacenters, formal verification of systems, and network congestion control. Key venues include USENIX ATC, ACM SIGMETRICS, IEEE Network, and TACAS. His 2025 work on failure detection and TCAM encoding exemplifies contributions to system resilience and hardware optimization. Awards: Jean-Claude Laprie Award (2025), TACAS Best Paper (2025), ERC Consolidator Grant (2014), NSF CAREER Award (2007). Advising & Grants: Supervised over 20 PhD and postdoctoral researchers. Active grants include EU Horizon Europe CloudStars, Swiss National Science Foundation, and industry partnerships with Cisco and SAP. Labs & Teams: Directs the SWYSTEMS group, collaborating on projects like secure cloud analytics, quantum network verification, and datacenter monitoring. Former students hold roles at universities, tech firms, and startups.

• Information Theory
• Wireless Communication
• Machine Learning
• +۴ مورد دیگر

Giuseppe Durisi is a Professor at Chalmers University of Technology in Gothenburg, Sweden, specializing in information theory and communication systems. His research bridges mathematically rigorous solutions with practical engineering applications in wireless and optical communication. Primary affiliation: Communication Systems Group , Chalmers University. Research focus: Optimal information transmission, 6G network design, and theoretical foundations of deep learning. Research Interests: Durisi investigates the interplay between latency, reliability, and throughput in digital communication, particularly in millimeter-wave and optical fiber channels . He develops finite-blocklength theory for efficient coding and explores how information theory can explain deep learning performance. Recent Article Trends: His 2025–2024 work emphasizes 6G distributed MIMO networks , energy-harvesting protocols , and machine learning integration into communication theory. Key themes include random access protocols , privacy in wireless aggregation , and hardware-constrained massive MIMO . Scientific Recognition: An IEEE Senior Member, Durisi has published extensively in top journals like IEEE Transactions on Communications and IEEE Transactions on Wireless Communications . Notable Collaborations: Work with teams on radio-over-fiber fronthaul , unsourced multiple access , and time-synchronized URLLC links .

• Decentralized Systems
• Distributed Systems
• Blockchain
• +۳ مورد دیگر

Pierluca Borsò-Tan serves as a Lecturer at the Swiss Federal Institute of Technology in Lausanne (EPFL), affiliated with both the Institute of Computer Systems and Networks (IC-SIN) for teaching duties and the Decentralized and Distributed Systems Laboratory (DEDIS) within the Institute of Computer Science for research activities. His research focuses on decentralized architectures, with expertise spanning blockchain implementation, secure peer-to-peer networking, distributed consensus mechanisms, and resilient file-sharing systems. He leads the course "Decentralized systems engineering," guiding students through hands-on development of messaging protocols, blockchain applications, and distributed security frameworks. Based at EPFL's BC Building (Room BC 209) in Lausanne, Switzerland, he maintains active roles in both academic instruction and laboratory research, with contact available via pierluca.borso@epfl.ch or +41 21 693 87 82.

Serge Vaudenayمشاهده پروفایل

استاد

• Cryptography
• Communication Security
• Cryptographic Analysis
• +۴ مورد دیگر

Serge Vaudenay is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL), leading the Security and Cryptography Laboratory (LASEC). He holds appointments in the School of Computer and Communication Sciences (IC), the School of Engineering (SSC), and the School of Electrical Engineering (SIN). His research focuses on cryptographic analysis, lightweight cryptography, and secure communication channels, emphasizing both theoretical foundations and practical applications. Education: Vaudenay earned his PhD in Computer Science from the University of Paris 7 in 1995 and completed his habilitation at EPFL. He joined EPFL in 1999, founding LASEC, which has become a global hub for cryptographic research. Research: His work spans cryptanalysis, protocol security, post-quantum cryptography, and privacy-preserving systems. Notable contributions include the analysis of Bluetooth encryption vulnerabilities, attacks on format-preserving encryption standards, and advancements in distance-bounding protocols. Recent efforts focus on quantum-resistant algorithms and secure contact tracing systems like SwissCovid. Teaching: He instructs courses on cryptography and communication security, emphasizing practical implementation and theoretical rigor. Over 25 PhD students have completed under his supervision, many contributing to industry and academia. Grants & Labs: He chairs the Doctoral Program in Computer and Communication Sciences and leads projects funded by Swiss National Science Foundation and EU Horizon programs. LASEC collaborates with industry partners on secure hardware and protocol development.

• Computer Security
• Cyber-Physical Systems
• Aerospace Engineering
• +۳ مورد دیگر

Dr. Harshad Sathaye is a Researcher in the Department of Computer Science at ETH Zürich, affiliated with the School of Computer and Communication Sciences. His work focuses on cybersecurity in navigation systems, GNSS spoofing/jamming countermeasures, and secure autonomous aerial vehicle navigation. Key research areas include cyber-physical systems, satellite signal integrity, and aviation security protocols. He has contributed to projects such as GNSS-WASP (wide-area spoofing detection), Galileo-SDR-SIM (Galileo signal simulation tools), and SemperFi (anti-spoofing GPS receivers for UAVs). His research addresses vulnerabilities in aviation datalinks, UAV navigation systems, and cryptographic authentication mechanisms for satellite signals. Recent work explores relay attacks on authenticated GNSS signals and experimental studies of GPS spoofing on drones. Publications span topics like secure autonomous vehicle navigation, cybersecurity for cyber-physical systems, and wireless attacks on aircraft landing systems. His research aims to improve navigation system resilience against modern cyber threats in aerospace and robotics domains.

Ralf Sasseمشاهده پروفایل

مدرس

• Information Security
• Formal Methods
• Security Protocols
• +۴ مورد دیگر

Dr. Ralf Sasse is a Lecturer and Senior Scientist (Focus Education) at ETH Zurich's Department of Computer Science. He specializes in the intersection of information security and formal methods, with a focus on automated analysis of security protocols and tool development. His research has been published in top venues such as IEEE Symposium on Security and Privacy (S&P), Usenix Security, and ACM CCS. Education: PhD in Computer Science (University of Illinois at Urbana-Champaign, 2012), Diplom in Computer Science (University of Karlsruhe, Germany, 2005). His work bridges formal methods with practical security challenges, including cryptographic protocol analysis, payment system security, and automated verification tools like Tamarin. Research interests include formal verification of protocols, security protocol design, and cryptographic system analysis. His contributions span topics like 5G authentication, EMV standard vulnerabilities, and privacy-preserving identity systems. Key achievements include the Best Practical Paper Award for 'The EMV Standard: Break, Fix, Verify' (2021) and foundational work on Tamarin, a widely used tool for cryptographic protocol analysis. His publications highlight advancements in protocol modeling, attack detection, and interoperability. Collaborations include projects with David Basin's group at ETH Zurich and contributions to the Attack Resilient Public-Key Infrastructure (ARPKI). Current efforts focus on enhancing security through formal methods and addressing real-world protocol vulnerabilities.

Nicoletta Fornaraمشاهده پروفایل

مدرس

• Artificial Intelligence
• Multiagent Systems
• Normative Multiagent Systems
• +۵ مورد دیگر

Nicoletta Fornara is a Lecturer and researcher at the Institute of Digital Technologies for Communication (ITDxC) within the Faculty of Communication, Culture and Society at Università della Svizzera italiana (USI), Lugano. Her research focuses on normative multiagent systems, artificial institutions, and semantic web technologies applied to regulate autonomous agents and empower individual sovereignty. She holds a PhD in Communication Sciences from USI (2003) and a cum laude M.Sc. in Computer Science from the University of Milan (1995). Her roles include Scientific Coordinator of the Institute for Communication Technologies at USI and Co-Chair of the W3C ODRL Community Group. She has led or co-led multiple grants, including projects on generative AI in education (2024), automatic monitoring of norms (2018-2023), and web data collection frameworks (2013-2015). She has served on program committees for AAMAS, IJCAI, and ECAI, and her work spans over 50 peer-reviewed publications in journals like AI Communications and Artificial Intelligence Review. Her teaching spans digital technologies for communication at USI since 2000, database courses at Politecnico di Milano (2005-2020), and roles at SUPSI (2010-2011). She has coordinated international projects under EU COST Actions and Swiss National Science Foundation grants, advancing policy modeling and semantic web applications in multiagent systems.

• Human Resource Management
• Public Relations
• Crisis Communication
• +۳ مورد دیگر

Marco Cortesi serves as a Lecturer at the Center for Human Resource Management within the Faculty of Economics and Management at the University of Lucerne. His academic role builds upon a distinguished 29-year career with the Zurich City Police, where he gained national prominence as a press officer and public face of the department through extensive media engagement across television and radio platforms. His research and teaching expertise centers on practical applications of communication in high-stakes environments, with primary focus areas including Human Resource Management, Crisis Communication, and Media Relations. Cortesi specializes in translating real-world policing experience into organizational communication frameworks, emphasizing diplomatic messaging strategies for complex security scenarios and stakeholder management in public institutions. Following his retirement from the Zurich City Police in January 2021 upon reaching age 65, Cortesi established his communications consultancy Cortesi Kommunikation (www.cortesi-kommunikation.ch). He now integrates this professional practice with his academic position, delivering specialized instruction through university lectures, industry seminars, and continuing education programs that bridge theoretical HR management with frontline crisis response protocols.

• Graph-based learning
• Adaptation and learning in non-stationary environments
• Intelligence for embedded systems
• +۵ مورد دیگر

Cesare Alippi is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), and also holds a professorship at Politecnico di Milano, Italy. He serves as a visiting Professor at Guangdong University of Technology (China) and Consultant Professor at Northwestern Polytechnic of Xi'an (China). His academic leadership extends to multiple international institutions where he has served as a visiting researcher including UCL (UK), MIT (USA), ESPCI (France), CASIA (China), A*STAR (Singapore), and University of Kobe (Japan). Professor Alippi's research interests center around graph-based learning, adaptation and learning in non-stationary environments, and intelligence for embedded, cyber-physical systems and IoT. His work bridges theoretical foundations with practical applications in sensor networks, environmental monitoring, and industrial processes. He has established significant research infrastructure including the Wireless Embedded Systems (WEmSy) Lab and the Internet of Things Lab, with notable deployments for marine environment monitoring in Queensland, Australia and the Fiji Islands, as well as rockfall and landslide monitoring systems across Italy and Switzerland. His research output shows a clear evolution toward graph-based deep learning approaches for time series analysis, anomaly detection, and spatiotemporal forecasting, reflecting the growing importance of graph neural networks in handling complex relational data in non-stationary environments. Major Awards: IEEE CIS Enrique Ruspini Meritorious Service Award (2024) IEEE CIS Outstanding Computational Intelligence Magazine Paper Award (2018) Gabor Award from International Neural Network Society (2016) IBM Faculty Award (2013) IEEE Instrumentation and Measurement Society Young Engineer Award (2004) Professor Alippi has held significant leadership roles including Past Board of Governors member of the International Neural Network Society, Past member of the Administrative Committee of the IEEE Computational Intelligence Society, and Past Vice-President for Education of the IEEE Computational Intelligence Society. He has served as Associate Editor for Proceedings of IEEE and several other prestigious journals. His research has been supported through numerous grants including an IBM Faculty Award in 2013 specifically for research on Intelligent Embedded Systems working in non-stationary environments. His research infrastructure includes the Wireless Embedded Systems (WEmSy) Lab and the Internet of Things Lab, with notable deployments including a sophisticated automatic, adaptive, sustainable and reliable wireless monitoring system for marine environments deployed in Queensland, Australia (2007) and under deployment at the Fiji Islands (2014-2015). He has also led several top-world deployments for rockfall and landslide monitoring across Italy and Switzerland since 2010, demonstrating the practical impact of his research in real-world harsh environments.