جستجوی استاد راهنمای دانشگاهی

Sarah Schefflerمشاهده پروفایل

استادیار

• Cryptography
• Privacy Engineering
• Cybersecurity Policy
• +۳ مورد دیگر

Sarah Scheffler is an Assistant Professor at Carnegie Mellon University, jointly appointed between the School of Computer Science and the College of Engineering. She holds roles in the departments of Software and Societal Systems and Engineering and Public Policy, focusing on applied cryptography and its intersections with policy, law, and societal impact. Her research explores end-to-end encryption, privacy-preserving technologies, and their regulatory challenges, including content moderation, compelled decryption, and autonomous systems. Scheffler earned her Ph.D. in 2021 from Boston University under Mayank Varia, with postdoctoral roles at MIT and Princeton. She advises students in EPP and S3 programs and actively engages in interdisciplinary projects addressing privacy and cybersecurity. Her work emphasizes cryptographic protocols tailored to real-world use cases, such as zero-knowledge proofs, multi-party computation, and privacy engineering. Scheffler frequently contributes to policy discussions on encryption, data protection, and the societal implications of technology. She is a core member of CyLab, CMU's Security and Privacy Institute. Publications highlight advancements in secure computation, privacy-preserving algorithms, and legal-technical analyses. Current research includes privacy in age verification systems and scalable content moderation under encryption. She advocates for robust encryption standards despite regulatory pressures, as seen in her CNN commentary on Apple's UK data protection policies.

Samuel Jaquesمشاهده پروفایل

استادیار

• Cryptography
• Quantum Computing
• Quantum Cryptanalysis
• +۴ مورد دیگر

Samuel Jaques is an Assistant Professor in the Department of Combinatorics and Optimization at the University of Waterloo (since 2023). His research focuses on cryptography (particularly privacy/anonymity) and quantum computing, with notable work on quantum algorithms for cryptanalysis and the Landscapes of Quantum Computing blog. He completed a PhD at the University of Oxford and holds degrees from the University of Waterloo and University of Regina. Education: PhD, University of Oxford (supervised by Simon C. Benjamin and Christophe Petit) MMath, University of Waterloo (co-supervised by Alfred Menezes and Michele Mosca) B.Sc. in Math and Biology, University of Regina Research Interests: Jaques explores quantum computing's impact on cryptography, including post-quantum security, lattice-based algorithms, and quantum error correction. His work critiques quantum RAM assumptions and analyzes resource costs for breaking cryptographic systems like RSA and ECC. Recent projects include accumulator schemes for digital credentials and dynamic group signatures. Awards and Recognition: Best Young Researcher Paper (2019) for quantum claw-finding attacks on SIKE Advising & Grants: Jaques supervises graduate students and postdocs in cryptography/quantum computing. His lab focuses on real-world privacy solutions with a post-quantum lens. Recent advisees include Mojtaba Fadavi (postdoc) and Jérôme Guyot (visiting student). Labs/Teams: Active in the Institute for Quantum Computing (IQC) at Waterloo, collaborating on quantum algorithms and cryptographic security. Maintains open-source projects like the Q# quantum crypto library and surface code cost calculators.

• Image Processing and Analysis
• Signal Processing
• Pattern Recognition
• +۷ مورد دیگر

Michel Ménard is a Teacher-Researcher at the University of La Rochelle, affiliated with the Mathematics and Computer Science departments. His research focuses on image and signal processing, particularly in cardiovascular imaging, dynamic texture analysis, and UWB radar applications for through-wall imaging. Key projects: ANR DIAMS, FISC consortium, A.Gaugue project Applications: Cardiovascular imaging, environmental monitoring, mobile application programming Research Interests Ménard's work centers on modeling information ambiguity, imprecision, and uncertainty in image analysis, pattern recognition, and information fusion. He has developed generalized fuzzy coalescence methods, non-parametric Bayesian approaches for trajectory analysis, and variational formulations for image filtering inspired by quantum physics. His team focuses on: Dynamic texture modeling via spatio-temporal decomposition Low-level image processing with information theory Through-wall imaging systems using UWB radar Information fusion techniques with minimal a priori assumptions Applications in coastal environment monitoring and biomedical imaging Publications Ménard's publications reflect his expertise in advanced image processing techniques applied to diverse domains. Notable contributions include: Theoretical works on total variation and sublinear functionals Algorithm developments for multistatic radar systems Applications in 3D bee tracking and cardiovascular flow analysis Extensions of Chambolle's algorithm to color images Decomposition methods for dynamic textures Integration of quantum physics concepts in image filtering Collaborations He collaborates with: Laboratoires: L3i, MIA, CLDG/BQR, IRPHE CNRS, ETIS, LASIE Institutions: University Hospitals of Poitiers and Angers, ONERA, LEAT, Tronico Researchers: Abdallah El-Hamidi, Alain Gaugue, Damien Coisne, Gilles Aubert Teaching Ménard teaches across eight departments/programs including: Electronics and Industrial Computing Automation Network Security and Cryptography Video Game Programming Smartphone Programming Digital Media Distribution He has developed new educational initiatives in mobile application programming since 2010.

Victor Lagerkvistمشاهده پروفایل

دانشیار

• Computational Complexity
• Constraint Satisfaction Problems (CSP)
• Theoretical Computer Science
• +۳ مورد دیگر

Victor Lagerkvist is an Associate Professor at the Department of Computer Science (IDA) , Linköping University, Sweden. He is affiliated with the Theoretical Computer Science Laboratory (TCSLAB) and the Artificial Intelligence and Integrated Computing Systems (AIICS) division. His research focuses on the algebraic method for analyzing computational complexity , particularly in constraint satisfaction problems (CSPs), SAT, and graph homomorphism problems. PhD in Computer Science (2016, Linköping University) Habilitation (2020, Linköping University) His recent work investigates fine-grained complexity , twin-width , and universal algebra to improve algorithms for NP-hard problems. Publications span topics like propositional abduction, Allen's interval algebra, and semiring-based dynamic programming. His scientific awards include the Swedish Research Council Starting Grant (2020) and the 2017 Young Researcher Prize from the Ruth and Nils-Erik Stenbäck Foundation. He supervises PhD students such as Leif Eriksson and serves as a secondary supervisor for others at Linköping University and Université de Lorraine.

• Computer Science
• Data Structures and Algorithms
• Theoretical Computer Science
• +۱ مورد دیگر

Assistant Professor at the Department of Agricultural Economics and Rural Development, Agricultural University of Athens. Holds a PhD, MSc, and BSc in Computer Engineering and Informatics from the University of Patras. Research focuses on dynamic graph problems, query optimization, and theoretical data structures with sublinear space. Teaches courses like Business Intelligence Systems and Informatics , emphasizing computer systems, databases, and data processing. His work bridges computer science theory with agricultural informatics applications. Educated at the University of Patras, he transitioned from the Department of Science (2004-2013) to his current role. Course content highlights his expertise in ETL processes, operating systems, and collaborative learning technologies.

Daniel Wichsمشاهده پروفایل

استاد

• Cryptography
• Computer Security
• Algorithms
• +۷ مورد دیگر

Daniel Wichs is a tenured Professor at the Khoury College of Computer Sciences at Northeastern University in Boston. He is a prominent researcher in the field of cryptography and serves as a Senior Scientist at NTT Research. His academic journey includes a PhD from New York University under Yevgeniy Dodis, a postdoctoral fellowship at IBM Research T.J. Watson, and degrees from Stanford University. Current Position: Professor at Northeastern University Prior Positions: IBM Josef Raviv Memorial Postdoctoral Fellow (2011-2013) Education: PhD NYU (2011), BS/MS Stanford (2005) Professor Wichs specializes in cryptography with research interests spanning computing on encrypted data, program obfuscation, lattice-based cryptography, information-theoretic cryptography, and foundational aspects of cryptography. He also maintains broad interests in computer security, algorithms, complexity theory, coding theory, and information theory. His research group includes current PhD students Manu Kondapaneni, LaKyah Tyner, and Ethan Mook, along with numerous successful alumni who have become professors at institutions worldwide. His recent publications demonstrate a strong focus on advanced cryptographic primitives including homomorphic encryption, zero-knowledge proofs, private information retrieval, and functional encryption. These works frequently appear at top-tier conferences like STOC, FOCS, CRYPTO, and EUROCRYPT, with several receiving best paper awards. His research often bridges theoretical foundations with practical applications in privacy-preserving computation. Best Paper at STOC 2023 Alfred P. Sloan Research Fellowship (2018) NSF CAREER Award (2018) J.P. Morgan Faculty Research Award (2022) IBM Postdoctoral Fellowship (2011-2013) Professor Wichs actively contributes to the academic community through service as Area Chair for CRYPTO 2025 and EUROCRYPT 2024, Program Chair for ITC 2020, General Chair for STOC 2016, and membership on numerous program committees. He teaches advanced courses including Foundations of Cryptography (CS 7810) and Theory of Computation (CS 3800), and has organized events like the Charles River Crypto Day and the Simons Summer Program in Cryptography 2025. His research group operates at the forefront of cryptographic theory, addressing fundamental questions about secure computation on encrypted data while developing practical cryptographic tools for real-world applications.