جست‌وجوی استاد و پژوهشگر

Mohit Palمشاهده پروفایل

پژوهشگر ارشد

• Cryptography
• Finite Fields
• Boomerang Uniformity
• +۷ مورد دیگر

Mohit Pal is a Postdoctoral Fellow at the Department of Informatics, University of Bergen, Norway. He is affiliated with the Faculty of Mathematics and Natural Sciences and conducts research under the mentorship of Prof. Lilya Budaghyan. He holds a Ph.D. in Mathematics from the Indian Institute of Technology Jammu, where he was supervised by Dr. Sartaj Ul Hasan. Education: B.Sc. in Mathematics, University of Allahabad (2011–2014) M.Sc. in Mathematics, Indian Institute of Technology Kharagpur (2014–2016) Ph.D. in Mathematics, Indian Institute of Technology Jammu (2018–2021) Visiting Student, Indian Institute of Technology Delhi (2018–2019) Visiting Student, Indian Statistical Institute Delhi (2022) His research lies at the intersection of cryptography and finite fields, focusing on boomerang uniformity, differential uniformity, APN and PN functions, permutation polynomials, and arithmetization-oriented cryptographic primitives . His work contributes to the theoretical foundations of symmetric cryptography and algebraic design of secure functions. He has published in leading journals such as Designs, Codes and Cryptography , IEEE Transactions on Information Theory , and Advances in Mathematics of Communications . His recent publications explore connections between generalized differential properties and cryptographic robustness, particularly in odd characteristic fields. Scientific Awards and Recognition: Reviewer for top-tier journals including IEEE Transactions on Information Theory , Designs, Codes and Cryptography , and Applicable Algebra in Engineering, Communication and Computing . Active participant in major international workshops such as Asiacrypt, Boolean Functions and Their Applications (BFA), and SETA. Erdős Number: 3 (via Sartaj Ul Hasan and Pantelimon Stănică). He has advised no students to date but has contributed to research mentoring through collaboration. He taught INF-143A: Applied Cryptography at the University of Bergen in 2024, instructing 84 students at undergraduate and master’s levels. His research has been supported through postdoctoral funding at the University of Bergen and prior project fellowships at IIT Jammu and Harish-Chandra Research Institute. He is currently engaged in advancing the theory of arithmetization-friendly cryptographic functions, with implications for zero-knowledge proofs and secure computation. Laboratories and Research Teams: Mohit Pal is part of the cryptography research group at the Department of Informatics, University of Bergen, collaborating closely with Prof. Lilya Budaghyan and Dr. Chunlei Li. His work integrates into broader efforts on algebraic methods in modern cryptography, particularly in the context of post-quantum and efficient cryptographic design.

Randal Burnsمشاهده پروفایل

استاد

• Scalable Data Systems
• Big Data Analysis
• Storage Systems
• +۷ مورد دیگر

Randal Burns is a Professor and Chair of the Department of Computer Science at Johns Hopkins University, where he leads the Hopkins Storage Systems Laboratory. He is also affiliated with the Kavli Neuroscience Discovery Institute, the Institute for Data-Intensive Science, and the Science of Learning Institute, reflecting his interdisciplinary research in data systems and neuroscience. His research focuses on building scalable data systems for big data exploration and analysis. Key areas include storage system performance, delta compression, distributed file systems, and data-intensive computing. He has made significant contributions to reliable storage, file access prediction, caching strategies, and in-place data reconstruction. The analysis of his recent publications shows a strong trend in optimizing large-scale storage systems, with emphasis on efficiency, scalability, and reliability. His work bridges theoretical algorithm design with practical system implementation in mass storage, distributed environments, and web-scale infrastructures. Dr. Burns has not been listed with any specific scientific awards in the provided text. He advises students and leads research projects through the Hopkins Storage Systems Laboratory, where he mentors advisees in storage systems and data-intensive computing. While no specific grants are mentioned, his lab leadership and publication record suggest active external funding and collaborative research. He directs the Hopkins Storage Systems Laboratory, a research group focused on advancing the design and performance of storage systems for modern data challenges, including big data, neuroscience applications, and distributed environments.

• Physical Unclonable Functions
• Hardware Security
• Side-Channel Analysis
• +۵ مورد دیگر

Michael Pehl is an Associate Professor at the Chair of Security in Information Technology at Technische Universität München (TUM), where he leads the Hardware-Intrinsic Security research group. His work focuses on Physical Unclonable Functions (PUFs), side-channel analysis, and secure hardware design. His primary research interests include Physical Unclonable Functions, Hardware Security, Side-Channel Analysis, Fault Injection Attacks, Post-Quantum Cryptography, Secure Hardware Design, and Trusted Electronics. Pehl has developed significant expertise in PUF security mechanisms, with particular emphasis on countermeasures against side-channel attacks and entropy optimization in security primitives. His recent publications demonstrate strong trends in hardware security, particularly in PUF architectures (oscillator-based, resistor-based, memristor-based), side-channel countermeasures, and entropy analysis. The research spans both theoretical foundations and practical implementations for secure embedded systems. Kurt-Fischer Prize (2013) Outstanding Reviewer Award at ICASSP 2022 Outstanding Reviewer Award at DATE 2024 Pehl has secured substantial research funding through multiple high-profile projects including STAMPS-PLUS (DFG), Edu4Chip (EU), APRIORI (BMBF), and VE-FIDES (BMBF). He serves as an Associated Editor for IEEE Transactions on Information Forensics & Security and has held leadership roles in major conferences including Program Co-Chair of COSADE 2023. His research group actively collaborates with industry partners and contributes to TUM's Center of Competence for Design of Electronic Circuits and Systems (DECS). Pehl's laboratory focuses on Hardware-Intrinsic Security research, with specialized facilities for PUF evaluation, side-channel analysis, and fault injection testing. The team develops innovative security primitives for embedded systems and IoT devices, with particular emphasis on post-quantum security solutions.

Marco Vassenaمشاهده پروفایل

استادیار

• Programming Languages
• Security
• Language-based Security
• +۷ مورد دیگر

Marco Vassena is an Assistant Professor in the Department of Information and Computing Sciences at Utrecht University, Netherlands. His research bridges Programming Languages and Security, developing principled methods to build systems with reliable security guarantees through language-based techniques. Previously, he served as a visiting assistant professor at Stanford University and as a postdoctoral researcher at CISPA Helmholtz Center for Information Security, where he co-founded the CISPA-Stanford Center for Cybersecurity. Education PhD in Computer Science, Chalmers University of Technology (supervised by Alejandro Russo) Dr. Vassena specializes in language-based security, with core expertise in memory safety (particularly for WebAssembly via his MSWasm framework), constant-time programming for cryptographic code, information flow control, and defenses against microarchitectural attacks like Spectre. His work applies type systems, compilers, program analysis, and formal verification to create practical security solutions for real-world systems, often targeting low-level vulnerabilities in hardware and software interactions. Analysis of his 15 most recent publications reveals a clear evolution: starting with foundational work on information flow control for concurrent and lazy programs (2016-2019), progressing to memory safety for WebAssembly (2019-2023), and culminating in robust constant-time cryptography (2021-2025). A consistent theme is addressing hardware-level vulnerabilities through compiler and language techniques, with increasing focus on practical implementations for WebAssembly and cryptographic systems. Scientific Awards Veni grant (2023) - Prestigious Dutch Research Council award for early-career researchers Dr. Vassena actively mentors future researchers through Utrecht University's PhD program, currently advertising open positions for candidates interested in applying compilers and program analysis to security challenges. His Veni grant funds these efforts while supporting his research on verified security techniques. He contributes extensively to the academic community as program committee member for POPL, PLDI, and PriSC conferences, and has organized workshops including PLMW@PLDI and PriSC sessions. His collaborations span institutions like CISPA Helmholtz Center and Stanford University, often focusing on WebAssembly security and microarchitectural attack defenses.

• Cryptography
• Data Privacy
• Machine Learning
• +۵ مورد دیگر

Jean-Pierre Hubaux is a Professor at the École polytechnique fédérale de Lausanne (EPFL) , serving as Academic Director of the EPFL Center for Digital Trust . His research focuses on cryptography, data privacy, and secure computation with applications in genomics, machine learning, and federated analytics. Developed SF-GWAS and SF-PCA for secure, federated genomic and data science workflows Created Lattigo and Helium libraries for homomorphic encryption and multiparty computation Proposed VERITAS and CRISP frameworks to secure homomorphic encryption pipelines against malicious adversaries His work bridges theoretical cryptography with practical implementations, enabling real-world privacy-preserving analytics across domains like healthcare and finance. He actively contributes to open science initiatives and educational platforms at EPFL.

• Cloud Computing
• Network Security
• Cryptography
• +۳ مورد دیگر

Kjetil Haslum is a researcher specializing in Cloud Computing , Network Security , and Cryptography at SINTEF AS's Software Engineering, Safety and Security group. His work focuses on real-time security mechanisms, cryptographic implementations, and cloud infrastructure scalability. Research Highlights: Developed real-time intrusion prevention systems for network security Contributed to cryptographic implementations using Hesse curves Created benchmarking frameworks for cloud computing scalability

• Cybersecurity
• Android Security
• GSM/Cellular Network Security
• +۳ مورد دیگر

Fauzia Idrees is a prominent cybersecurity researcher at the Department of Information Security , Royal Holloway, University of London , specializing in mobile communications security and malware detection. She has contributed to advancements in Android permissions, GSM security, and VoIP protection. MBA in Leadership and Management, University of Kent PhD in Information Security (2022), City University London MSc in Information Security (2018), National University of Science and Technology (NUST) BE in Electronics Engineering (1995), focus on cellular security Her research focuses on Android application collusion , malware detection , and secure mobile communications . She has published extensively on GSM and VoIP security, with recent work emphasizing digital transformation policies and civil-military cybersecurity collaboration. She has received notable awards including the Roger Mills Prize for Innovation in Education (2024) , UK Alumni Award (2020) , and UN Excellence Award: Women in Science & Technology (2018) . Her work also includes leading the establishment of Pakistan's National CyberSecurity Center. Fauzia.Idrees@rhul.ac.uk

Gilles Brassardمشاهده پروفایل

استاد

• Quantum Information Science
• Quantum Cryptography
• Quantum Teleportation
• +۳ مورد دیگر

Gilles Brassard is a Professor at the Department of Computer Science and Operations Research , Université de Montréal. His research spans the interdisciplinary field of Quantum Information Science , integrating computer science and quantum theory. PhD in Theoretical Computer Science, Cornell University MSc in Computer Science, Université de Montréal Brassard's research interests include: Quantum Cryptography Quantum Teleportation Quantum Entanglement Simulation Quantum Algorithms Local-Realistic Interpretations Quantum Communication Complexity The articles reflect his expertise in quantum information, with recent trends focusing on: Quantum key distribution in adversarial settings Classical simulation of quantum phenomena Quantum-enhanced cryptographic protocols Nonlocality and foundational quantum theory Privacy-preserving systems Experimental quantum implementations Scientific accolades include: Micius Quantum Prize (2019) Wolf Prize in Physics (2018) Officier, Ordre national du Québec (2017) Officer, Order of Canada (2014) Fellow of the Royal Society (2013) Killam Prize (2011) Gerhard Herzberg Canada Gold Medal (2009) Brassard has supervised numerous PhD and postdoctoral researchers, many of whom hold prominent positions globally, and his work has been commercialized in quantum cryptography.

• Cryptography
• Post-Quantum Cryptography
• Cryptanalysis
• +۳ مورد دیگر

Guglielmo Morgari is a researcher at the Department of Mathematical Sciences 'G. L. Lagrange' (DISMA) at Politecnico di Torino. He serves as an external tutor for PhD students in the Cryptography and Number Theory research group, advising Elena Broggini, Marco Rinaudo, Giuseppe D'Alconzo, and Edoardo Signorini. His research focuses on cryptography, post-quantum security, and cryptanalysis. Current Affiliation: Politecnico di Torino, DISMA Academic Role: Researcher (external tutor) Research areas include: Cryptography Quantum Key Distribution Public-Key Cryptosystems Coding Theory Cryptanalysis Recent publications emphasize quantum-safe communication infrastructure, post-quantum encryption adaptations, and cryptographic sequence analysis. His work spans theoretical foundations and hardware implementations like quantum random number generators.

Johannes Blömerمشاهده پروفایل

استاد

• Cryptography
• Quantum Computing
• Algorithms and Complexity
• +۳ مورد دیگر

Johannes Blömer is a Full Professor (W3) at the University of Paderborn, Germany, affiliated with the Faculty of Electrical Engineering, Computer Science and Mathematics. He leads the Codes and Cryptography department, serves as founding member of the PhoQS Institute for Photonic Quantum Systems, and directs the Institute for Industrial Mathematics. Current roles: Vice President of University of Paderborn, Founding Director of Jenny Aloni Center for Early-Career Researchers Academic leadership: Editorial Board member of Acta Informatica, Fulbright Germany liaison professor, and liaison professor for the German National Academic Foundation His research spans cryptography, quantum computing, and algorithmic complexity. He has contributed to privacy-preserving credential systems, quantum photonic technology education, and secure customer loyalty systems. His work bridges theoretical foundations with practical implementations in data privacy and quantum information processing. Scientific contributions include: Quantum photonic technology education programs PhoQuant quantum computing test platform Photonics-based quantum computing research (PhoQC) Clustering algorithms analysis Key recognitions: Weierstrass Prize for teaching excellence (2003) DFG Habilitation Scholarship (1994-1996) Contributions to special issues at ESA, ICALP, and SODA conferences As an educator, Blömer teaches courses on cryptography, complexity theory, and cryptographic foundations. He has organized major conferences including ICALP (2023), Dagstuhl Seminars (2007), and led the MACIS steering committee (2017-2019).

• Optimization
• Cryptography
• Artificial Intelligence

Catherine Barry serves as a Lecturer at the University of Picardie Jules Verne, affiliated with research unit UR 4290 (OCIA: Optimization and Cryptography, AI). Her office is located in room 313 with phone extension 5910. Her research focuses on: Mathematical Optimization Cryptographic Systems Artificial Intelligence Applications The OCIA research unit drives innovation in algorithmic optimization, secure communication protocols, and machine learning integration. Dr. Barry contributes to this multidisciplinary environment through both theoretical exploration and practical implementations in computational security frameworks.

• Cryptography
• Post-Quantum Cryptography
• Algorithm Optimization
• +۳ مورد دیگر

Claire Delaplace serves as a Lecturer in the Department of Optimization and Cryptography with Artificial Intelligence at Université de Picardie Jules Verne's Faculty of Science. Her research focuses on cryptographic algorithm design and optimization within the OCIA research domain. Her primary research interests encompass: Post-Quantum Cryptography (particularly lattice-based and code-based systems) Syndrome decoding complexity and algorithms Multivariate polynomial system solving Hash function cryptanalysis AI-enhanced cryptographic optimization Finite field arithmetic applications Analysis of her recent publications (2020-2025) reveals a consistent focus on improving cryptographic algorithm efficiency, with particular emphasis on syndrome decoding variants, lattice reduction techniques, and multivariate equation solving. Her work frequently bridges theoretical complexity analysis with practical implementations, often addressing vulnerabilities in post-quantum cryptographic candidates. Dr. Delaplace maintains active collaborations with prominent researchers including Charles Bouillaguet, Pierre-Alain Fouque, and Antoine Joux, evidenced by her publication record in IACR venues and SIAM proceedings.

• Mathematics
• Algebra
• Group Theory
• +۳ مورد دیگر

MÜGE SAADETOĞLU is an Associate Professor in the Department of Mathematics at the Faculty of Arts and Sciences, Eastern Mediterranean University (EMU), where she maintains an active academic role with office AS143 and contactable via +90 392 630 1030 or institutional email. Her academic credentials include a PhD in Mathematics from UNIVERSITY (2001-2005) and a BS in Mathematics from UNIVERSITY (1998-2001), establishing her foundational expertise in mathematical sciences. Professor Saadetoglu's research centers on advanced algebraic structures and discrete systems, with significant contributions to group theory (particularly irreducible representations of finite groups), linear algebra (block matrix properties), and cryptographic applications. Her work bridges theoretical frameworks like Euler characteristics of groups with practical implementations in discrete rotations on triangular planes and cryptographic protocols using number theory. She has mentored seven graduate students since 2012, supervising two PhD candidates (including an ongoing project with ŞAKİR MEHMET DİNSEV) and five master's theses covering topics from Bestvina-Brady invariants to cryptographic linear algebra methods, demonstrating sustained commitment to academic development in core mathematical disciplines.

Giulia Fantiمشاهده پروفایل

دانشیار

• Blockchains
• Distributed Systems
• Privacy-Preserving Technologies
• +۴ مورد دیگر

Giulia Fanti is the Angel Jordan Associate Professor of Electrical and Computer Engineering at Carnegie Mellon University. She holds courtesy appointments in the Computer Science Department and Machine Learning Department, and is affiliated with CyLab Security and Privacy Institute. Her research focuses on security and privacy in distributed systems, blockchain technology, and privacy-enhancing machine learning. Ph.D., Electrical Engineering & Computer Science, University of California, Berkeley (2015) M.S., Electrical Engineering & Computer Science, University of California, Berkeley (2012) B.S., Electrical & Computer Engineering, Olin College of Engineering (2010) Her research spans three major areas: privacy-preserving data sharing using generative models like GANs, privacy in decentralized networks under adversarial conditions, and blockchain scalability with rigorous mathematical modeling. She actively explores privacy-utility tradeoffs in synthetic data generation and secure federated learning frameworks. Recent publications highlight her expertise in blockchain economics, privacy-preserving machine learning, and secure consensus algorithms. Articles span topics like game-theoretic liquidity provisioning, federated learning with synthetic data, and differential privacy in distributed systems. These works demonstrate her focus on bridging theoretical guarantees with practical implementations. Scientific recognition includes: Best Paper Award Finalist @ ACM IMC Best Paper Award Finalist @ SIGMETRICS 2025 ICML 2025 Oral Presentation ICLR 2025 Honorable Mention Atlantic Council Senior Fellowship World Economic Forum Global Future Council Fellowship She advises numerous doctoral students and postdocs, including current advisees Shuaiqi Wang, Sangyun Lee, and former students now at institutions like HKUST, NTU, and University of Ottawa. Her group collaborates extensively through initiatives like the Upanzi Network and Secure Blockchain Initiative. Research teams include CyLab-Africa, which she co-directs, and CMU's Secure Blockchain Initiative. Her work has been funded by NSF awards and industry grants.

Riccardo Paccagnellaمشاهده پروفایل

استادیار

• system security
• hardware security
• microarchitectural security
• +۲ مورد دیگر

Riccardo Paccagnella is an Assistant Professor of Computer Science at Carnegie Mellon University, where he is a core faculty member in the Software and Societal Systems Department (S3D) and CyLab's Security and Privacy Institute, with a courtesy appointment in the Electrical and Computer Engineering Department (ECE). His work focuses on system and hardware security, with particular expertise in microarchitectural vulnerabilities and their implications for secure software. Paccagnella earned his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign in 2023, where he was advised by Chris Fletcher. His doctoral research laid the foundation for his continuing work on hardware security vulnerabilities. Dr. Paccagnella's research centers on system and hardware security, with a focus on uncovering and mitigating new classes of microarchitectural vulnerabilities. His work examines how hardware features like data memory-dependent prefetchers, dynamic frequency scaling, and on-chip interconnects can be exploited to leak sensitive information. He has made significant contributions to understanding side-channel attacks on cryptographic implementations, particularly those related to power and timing analysis. His research bridges the gap between theoretical security models and practical hardware implementations, revealing vulnerabilities in widely used processors from Apple, Intel, and AMD. Paccagnella's recent publications reveal a strong focus on microarchitectural side-channel attacks, particularly those exploiting hardware prefetchers, frequency scaling mechanisms, and on-chip interconnects. His work has demonstrated novel attacks like GoFetch (targeting Apple's M-series chips) and Hertzbleed (turning power side channels into remote timing attacks), which have fundamentally challenged assumptions about constant-time cryptographic implementations. His research spans both theoretical analysis and practical demonstrations, with many of his findings receiving industry recognition through awards like the Pwnie Awards. Dr. Paccagnella's research has been recognized with numerous prestigious awards, including the Pwnie 2024 Award for Best Cryptographic Attack for his GoFetch research, multiple Pwnie Award nominations, the IEEE Micro Top Picks 2023 recognition, and the Intel Bug Bounty Award. His work has also been selected for the Top Picks in Hardware and Embedded Security 2024. These accolades reflect the significant impact of his research on both academic and industry understanding of hardware security vulnerabilities. Paccagnella advises PhD students including Inwhan Chun and Isabella Siu, and is actively recruiting new students for CMU's Security and Privacy-focused PhD programs. His research has been supported by significant funding from the Air Force Office of Scientific Research (AFOSR), the Defense Advanced Research Projects Agency (DARPA), the National Science Foundation (NSF), the Alfred P. Sloan Research Fellowship, and industry partners including Intel, Qualcomm, and Cisco. As a core faculty member of CyLab's Security and Privacy Institute at CMU, Paccagnella collaborates with a broad network of security researchers across multiple departments. His work often involves cross-institutional collaborations, particularly with researchers from the University of Illinois Urbana-Champaign, University of Texas at Austin, and Georgia Institute of Technology. He is part of CMU's vibrant security research ecosystem that includes the Software and Societal Systems Department and the Electrical and Computer Engineering Department.