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Jeremy MuskatView profile

Professor

• Number Theory
• Cryptography
• Cryptology
• +3 more

Jeremy Muskat serves as Professor of Mathematics and Department Chair of Mathematics and Computer Science at Western Colorado University. A Western alumnus (BA 2000), he returned to teach in 2007 after completing his PhD at Colorado State University. His research centers on number theory with significant applications in cryptology, particularly internet security systems. Muskat's work bridges theoretical mathematics and practical encryption technologies, as evidenced by his publications spanning elliptic curve cryptography to election security protocols. He maintains active research in cryptographic algorithms while teaching advanced mathematics courses. Recent publications demonstrate a clear trajectory from pure number theory (2009-2015) toward applied cryptography (2018-2024), reflecting growing societal concerns about digital security. His 2024 Math Horizons article addresses contemporary election integrity challenges through cryptographic solutions. Muskat teaches across the mathematics curriculum from foundational algebra to advanced topics like Abstract Algebra and Cryptography. His educational philosophy emphasizes connecting abstract mathematical concepts to real-world applications that students can relate to directly.

Rodrigo BrunoView profile

Assistant Professor

• Systems
• Programming Languages
• Cloud Computing
• +4 more

Rodrigo Bruno is an Assistant Professor at Instituto Superior Técnico (University of Lisbon) and Senior Researcher at INESC-ID Lisbon. His research bridges Systems and Programming Languages with a focus on optimizing language runtimes for cloud environments (Microservices, Serverless). He previously worked at Oracle Labs Zurich and ETH Zurich. Research Areas Systems Programming Languages Cloud Computing Serverless Computing Operating Systems Key projects include Shell (FCT-funded serverless platform), Graalvisor (polyglot runtime virtualization), and Naos (RDMA networking in Java). His work appears in top venues like NSDI, EuroSys, ATC, and SoCC. Scientific awards include the EdgeEmu Best Paper Award , Best Young Researcher 2022 (INESC-ID), and multiple teaching excellence recognitions. He has served on program committees for EuroSys, NSDI, ATC, and more. Rodrigo Bruno leads a dynamic team including PhD candidates Vasyl Lanko, Bernardo Ribeiro (co-advised), and MSc students like André Páscoa. His research integrates with production systems such as the V8 JS Engine and OpenJDK HotSpot JVM. Current teaching includes Cloud Computing and Virtualization , Computer Systems Engineering , and IT Infrastructure Management . His service spans organizing committees for SESAME, MoreVMs, and artifact evaluation for SOSP.

Huijia LinView profile

Professor

• Cryptography
• Theoretical Computer Science
• Computer Security
• +9 more

Huijia (Rachel) Lin is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington , holding the Paul G. Allen Development Professorship. Her expertise lies in cryptography and its intersections with theoretical computer science and security. She actively contributes to foundational research in program obfuscation, functional encryption, and lattice-based cryptography. Research Focus: Cryptography, secure multiparty computation, non-malleability, concurrent security, functional encryption, attribute-based encryption, program obfuscation, lattice-based cryptography. Academic Leadership: Co-chair of TCC 2025, member of the TCC Steering Committee (2018–present), and associate editor for JACM. Awards & Recognition: NSF CAREER Award, Hellman Fellowship, Cisco Research Award, JPMorgan Faculty Award, Microsoft Research PhD Fellowship, and multiple best paper awards. Her work spans theoretical cryptography, with applications to post-quantum cryptography and secure computation. She has advised numerous PhD students, including those now at institutions like Boston University, MIT, CMU, and Stanford.

Manoj M. PrabhakaranView profile

Professor

• Cryptography
• Secure Multi-Party Computation
• Theoretical Computer Science
• +9 more

Manoj M. Prabhakaran is the Vijay and Sita Vashee Chair Professor at the Indian Institute of Technology Bombay in the Department of Computer Science and Engineering , and an Adjunct Professor at the University of Illinois, Urbana-Champaign . His research spans Cryptography, Theoretical Computer Science, Algorithms, and Complexity Theory , with a focus on Secure Multi-Party Computation (MPC) and Zero-Knowledge Proofs . As Principal Investigator of the IITB Trust Lab , he has organized major events like the 2017 MPC School and Workshop . Education: Ph.D. in Computer Science His work explores foundational questions in Cryptography , including Randomness Complexity , Non-malleable Codes , and Homomorphic Encryption . Recent publications address Leakage-Resilient Cryptography and Interactive Proofs . He advises Ph.D. students like Debasish Ray Chawdhuri and Kaartik Bhushan , and his email is publicly listed.

• Cryptography
• Cryptanalysis
• Symmetric-Key Cryptography
• +3 more

Jian Guo is an Associate Professor (with tenure) at Nanyang Technological University (NTU) in Singapore, affiliated with the School of Physical and Mathematical Sciences and holding a courtesy appointment in the College of Computing and Data Science. His research focuses on cryptography, particularly cryptanalysis, design and implementation of symmetric-key algorithms (hash functions, block ciphers, authenticated encryption), and privacy-preserving technologies. PhD in Mathematical Sciences (2007-2010), supervised by Huaxiong Wang, and BEng in Computer Engineering (2003-2006) with First Class Honors from NTU. Jian leads the Cryptanalysis Taskforce at NTU and has published extensively in cryptography. His work includes breaking the full Kravatte PRF design (FSE 2018 Best Paper) and improving related-key boomerang attacks against AES-256 (ACISP 2022 Best Paper). His research also targets cryptographic standards like SHA-3 and AES Hashing, evidenced by a 2021 eprint preimage attack publication. He has received multiple accolades including the NTU/SPMS Young Researcher Award (2021), Collaborative Research Award (2022), and Accelerating Creativity and Excellence Award (2020). He serves on the IACR Board of Directors (2020-present), chairs major conferences (Asiacrypt 2023, Asiacrypt 2021), and contributes to international standardization efforts (ISO/SC27/WG2, Singapore representative since 2017). As a Principal Investigator, he collaborates with industry partners like LatticeX Foundation (2022-2025) and previously PayPal Inc (2021-2023). He actively mentors PhD and postdoc candidates, with ongoing openings jointly advertised at Wuhan University (2025) and Tsinghua University (2024).

• Polymer Science
• Materials Chemistry
• 3D Printing
• +5 more

Vincent Voet serves as an External employee within the Department of Macromolecular Chemistry and New Polymeric Materials at the University of Groningen's Faculty of Science and Engineering. His research program bridges fundamental polymer science with practical applications in advanced materials development. Research interests include: 3D Printing of functional polymers Stimuli-responsive hydrogels (temperature/photo) Block copolymer self-assembly systems Biobased and biodegradable polyesters Natural fiber thermoplastic composites Smart materials for encryption/sensors His 2025 publication surge reveals strong trends toward dual-stimuli materials and sustainable polymer systems, with work appearing in Macromolecules, ACS Applied Materials & Interfaces, and European Polymer Journal. The research demonstrates increasing focus on application-driven material design while maintaining rigorous polymer chemistry foundations. Vincent has supervised 5 research projects and maintains active international collaborations. His publication pipeline indicates robust current funding, though specific grant details require direct inquiry. The work aligns with UN Sustainable Development Goals through sustainable materials development and advanced manufacturing approaches.

Ünal ÇAVUŞOĞLUView profile

Associate Professor

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +6 more

Prof. Dr. Ünal Çavuşoğlu is an Associate Professor at the Department of Software Engineering, Faculty of Computer and Information Sciences, Sakarya University. With a doctorate in chaos-based encryption algorithms (2016) and a master's degree comparing network simulation tools (2014), his research focuses on cybersecurity, machine learning, and chaos theory. He has contributed extensively to intrusion detection systems, IoT security, and cryptographic protocols. Education: Doctorate (2016), Master's (2014), and Bachelor's (2011) in Computer Engineering. Research Interests: Cybersecurity frameworks, machine learning adaptation for threat detection, chaotic encryption, and IoT communication protocols. Recent Work: 2025 publications on homomorphic encryption and LSTM-based intrusion detection demonstrate cutting-edge applications of deep learning in security domains. His 2019-2024 publications reveal a trajectory from foundational chaos theory to applied IoT and cloud security solutions. Key methodologies include genetic algorithms, fractional calculus, and hybrid encryption systems.

Abdullah SEVİNView profile

Assistant Professor

• Cryptography
• Internet of Things
• Blockchain
• +3 more

Abdullah SEVİN serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, a position held since 2017. Previously, he worked as a Research Assistant at Sakarya University (2009-2011) and American University of Sharjah (2014). His academic credentials include: Doctorate in Computer Engineering, Sakarya University (2011-2016), Thesis: A NEW MEDIA ACCESS CONTROL PROTOCOL WITH QUALITY OF SERVICE SUPPORT FOR WIRELESS BODY AREA NETWORKS Master's in Electronics and Computer Education, Sakarya University (2008-2011) Bachelor's in Computer Systems Teaching, Sakarya University (2004-2008) Dr. SEVİN's research integrates advanced cryptographic methods with emerging technologies. His primary expertise spans Cryptography—including hash functions, lightweight cryptography, and Torus fully homomorphic encryption (TFHE)—alongside Blockchain systems, Internet of Things (IoT) communication protocols, and Parallel Computing architectures. His performance analysis focuses on security testing of IoT application layers and cryptographic implementations, emphasizing real-world system optimization. No scientific awards were documented in the source material. Details regarding student supervision, research grants, laboratory facilities, or collaborative teams were not provided in the available text.

Olivier LévêqueView profile

Researcher

• Information Theory
• Random Matrices
• Stochastic Calculus
• +2 more

Olivier Lévêque is a Senior Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences. He conducts research at the Laboratory of Information Theory (LTHI) and holds teaching responsibilities in both Communication Systems (SSC) and Computer Science (SIN) sections. Additionally, he contributes to the Interface EPFL-Gymnases initiative. Lévêque obtained his Physics diploma (1995) and PhD in Mathematics (2001) from EPFL, with a visiting lectureship at Stanford University's Electrical Engineering Department in 2005-2006. His research explores fundamental aspects of information theory , random matrices , and stochastic calculus , with applications in wireless communications and network theory. Key interests include capacity scaling laws in ad hoc networks, diversity-multiplexing tradeoffs, and mathematical frameworks for communication systems. Recent publications demonstrate broad interdisciplinary engagement, spanning computational thinking assessment (2022), digital education frameworks (2019), satellite positioning systems (2018), and theoretical advances in probability (2018). His work consistently integrates mathematical rigor with practical communication challenges, particularly in wireless network optimization and information-theoretic security. He has supervised four doctoral students at EPFL and teaches courses including Information, Computation, Communication , Markov Chains and Algorithmic Applications , and Cryptography . Lévêque leads research activities within the Laboratory of Information Theory, focusing on theoretical foundations of modern communication systems.

Sanaul HoqueView profile

Senior Lecturer

• Computer Vision
• Biometrics
• Security Systems
• +6 more

Dr. Sanaul Hoque is a Senior Lecturer in Secure Systems Engineering at the University of Kent's School of Engineering and Digital Arts, where he also serves as Course Lead for Electronic and Computer Engineering. His research focuses on biometric security systems, computer vision, and pattern recognition applications with over 79 publications documented in the Kent Academic Repository. Dr. Hoque's primary research interests include: Computer Vision and Pattern Recognition Biometrics and Security Systems Document Analysis and Modeling Encryption and Secure Systems Multi-Expert Fusion Techniques EEG-based Biometric Recognition His extensive publication record spanning over two decades demonstrates expertise in developing innovative biometric security solutions. Recent work focuses on neural network applications for security systems, explainable presentation attack detection, and EEG-based biometric recognition. His research shows a consistent trajectory toward more sophisticated and explainable biometric security systems that address real-world challenges in authentication and identification, with his most recent publication appearing in 2025. Dr. Hoque has maintained productive research collaborations with colleagues including Farzin Deravi, Konstantinos Sirlantzis, and Gareth Howells, resulting in numerous co-authored publications across various domains of biometric security. His work has appeared in reputable journals including Sensors, IEEE Access, and Pattern Analysis and Applications. As Course Lead for Electronic and Computer Engineering, Dr. Hoque plays a significant role in curriculum development and student mentorship within the engineering program at Kent. His expertise bridges theoretical computer science with practical security applications, particularly in biometric systems and secure document modeling.

SANDRA MARIA GOMEZ CANAVALView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Distributed Computing
• +7 more

Sandra María Gómez Canaval is an Associate Professor at the Universidad Politécnica de Madrid , affiliated with the Department of Computer Systems . Her research focuses on: Artificial Intelligence and Machine Learning Bio-Inspired Computational Models Distributed and High-Performance Computing Generative Models and Network Security Data Mining and Time Series Forecasting Her recent work explores machine learning applications for: Network traffic prediction Harmful algal bloom forecasting Energy-efficient deep neural networks Automated guided vehicle control Cryptomining attack detection Her publications highlight expertise in Generative Adversarial Networks (GANs), cloud-based security, and Industry 4.0 systems. She actively contributes to: Data augmentation techniques Parallel computing architectures Network digital twin development

• Cybersecurity
• Infocommunications
• Cloud Technologies
• +5 more

Alexey Nikolaevich Nazarov is a Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE), where he has worked since 2015. His academic and teaching experience spans 14 years, with a focus on cybersecurity, cloud technologies, and information confrontation in social media. Doctor of Technical Sciences (2000) Engineer-Mathematician, Moscow Geological Prospecting Institute (1980) UN and ITU-certified expert His research interests center on cybersecurity , information warfare , and mathematical modeling , particularly in IoT and social media contexts. Articles highlight trends in neural network intrusion detection , ferroelectric memory devices , and cloud resource optimization . He has supervised 5 postgraduate and 2 doctoral students, organized scientific seminars, and contributed to cloud technology curricula. His expertise includes international standards (ITU, VAK), Skolkovo grant #87 (2012), and leadership in cybersecurity research.

• Algebraic Cryptanalysis
• Post-Quantum Cryptography
• Symmetric Cryptography

Morten Øygarden is a Postdoctoral Fellow in the Department of Cryptography at Simula UiB, a joint research initiative between Simula Research Laboratory and the University of Bergen. His work bridges theoretical cryptography and practical security analysis within Norway's premier cryptographic research environment. His educational background culminates in a 2021 PhD from the University of Bergen with the thesis "Algebraic Cryptanalysis of Cryptographic Schemes with Extension Field Structure", establishing his expertise in algebraic methods for cryptanalysis. Øygarden's research focuses on Algebraic Cryptanalysis , Post-Quantum Cryptography , and Symmetric Cryptography , specializing in vulnerabilities of multivariate systems, code-based schemes, and ring-based primitives. He develops novel Gröbner basis techniques to break cryptographic assumptions underlying quantum-resistant candidates, with direct implications for NIST standardization processes. Analysis of his 2020-2024 publications reveals consistent innovation in algebraic attack methodologies, particularly against arithmetization-oriented primitives for zero-knowledge proofs and MPC-friendly ciphers. His work demonstrates exceptional depth in exploiting mathematical structures of symmetric primitives while advancing post-quantum security evaluations of multivariate and code-based systems. His publication record in top venues including CRYPTO, EUROCRYPT, and the Journal of Cryptology reflects significant contributions to cryptographic science, though specific awards or grant details are not documented in available sources.

• Cryptography
• Security analysis of cryptographic algorithms
• Fully Homomorphic Encryption
• +1 more

Håvard Raddum serves as Chief Research Scientist in the Department of Cryptography at Simula UiB, a joint research entity of Simula Research Laboratory and the University of Bergen. His primary focus involves advancing cryptographic security through algorithm analysis, Fully Homomorphic Encryption applications, and hardware-level attack mitigation. Raddum's research spans cryptography with specialization in security analysis of cryptographic algorithms, practical deployment of Fully Homomorphic Encryption, and physical attacks on hardware implementations. His work addresses vulnerabilities in symmetric ciphers, multivariate schemes, and lattice-based systems through algebraic cryptanalysis, side-channel techniques, and theoretical security proofs. Analysis of his 2019-2025 publications reveals concentrated expertise in cryptanalysis across diverse primitives. Key trends include algebraic attacks on arithmetization-oriented cryptography, side-channel analysis of lightweight ciphers, error detection in lattice computations, and security evaluations of Fully Homomorphic Encryption. His research consistently bridges theoretical frameworks with practical implementation vulnerabilities.

• Computational Biology
• Bioinformatics
• Privacy-Preserving Data Mining
• +5 more

Kana Shimizu is a Professor at Waseda University’s Faculty of Science and Engineering, School of Fundamental Science and Engineering, and a leading authority on privacy-preserving algorithms for genome and biomedical data. Since obtaining her Dr.Eng. from Waseda, she has held positions at AIST and a visiting investigator role at Memorial Sloan-Kettering Cancer Center, advancing to full Professor at Waseda in 2018. Education: Dr.Eng., Waseda University M.Eng., Waseda University (Dept. of Information Science) B.Eng., Waseda University (School of Science and Engineering) Research Interests: Prof. Shimizu integrates cryptography with life-science data analytics, developing homomorphic encryption and secret-sharing protocols that enable secure genome search, private chemical database queries, and privacy-preserving machine learning. She also contributes to computational biology through algorithms for next-generation sequencing, structural bioinformatics, and prediction of intrinsically disordered proteins. Publication Trends: Her recent works (2022-2024) emphasize practical privacy technologies—secure range queries, function secret sharing, and gradient-clipping for synthetic genomes—while earlier high-impact papers established fast similarity search (SlideSort), binding-site databases (PoSSuM), and encrypted genomic search using the Burrows-Wheeler transform, collectively bridging algorithmic innovation and real-world biomedical privacy needs. Scientific Awards: KDDI Foundation Achievement Award 2022 MEXT Commendation for Science and Technology (Research) 2018 Multiple best-paper/demo awards at CSS, IIBMP, and domestic bioinformatics meetings Grants & Advising: She currently leads JSPS KAKENHI (S) on “Compressed Secure Computation for Large-Scale Data” and an AMED project on precise cancer-genome graphs. She serves as advisor/evaluator for JST PRESTO, AMED, NBDC, and the Tokyo High Court, and has supervised numerous bachelor theses at Waseda. Labs & Teams: Prof. Shimizu heads a laboratory within the School of Fundamental Science and Engineering at Waseda, collaborating with national centers (AIST, RIKEN) and international partners (MSKCC, Finland Tekes/AF), focusing on encrypted bioinformatics platforms and high-performance genomic algorithms.