جست‌وجوی استاد و پژوهشگر

Charalampos Anastasiouمشاهده پروفایل

استاد

• Theoretical Particle Physics
• Quantum Field Theory
• Particle Phenomenology
• +۳ مورد دیگر

Charalampos Anastasiou is a Full Professor of Theoretical Particle Physics at ETH Zurich's Department of Physics. He leads research in quantum field theory and its applications to particle physics phenomenology, particularly in predicting Higgs boson signals at the Large Hadron Collider (LHC). His work includes developing mathematical methods for Feynman diagrams and precision calculations for collider experiments. He has held academic positions at ETH Zurich since 2007, including Associate Professor (2010–2013) and Full Professor (2013–present). His career includes research roles at CERN and Stanford Linear Accelerator Center. Education: Ph.D. in Particle Theory, Durham University, UK (2001) Research Interests: Anastasiou's research focuses on advancing theoretical frameworks for particle physics, with emphasis on perturbative quantum field theory, collider phenomenology, and precision calculations for Higgs boson interactions. His work bridges mathematical rigor and experimental validation, contributing to the understanding of fundamental forces and particle interactions. Publications: His recent publications span superconducting magnet design for future colliders, quantum-resistant cryptographic methods, and material science studies. These reflect his interdisciplinary approach to addressing challenges in high-energy physics and technology. Awards & Grants: ERC Advanced Grant: PertQCD (2016) ERC Advanced Grant: IterQCD (2010) University Latsis Prize (2009) Advising & Labs: Anastasiou collaborates on projects like the Muon Collider and LHC upgrades. His lab develops novel superconducting magnet technologies and computational tools for high-energy physics experiments. He actively contributes to international initiatives like the Future Circular Collider (FCC) and European Strategy for Particle Physics.

Vladimir Shpilrainمشاهده پروفایل

استاد

• Post-Quantum Cryptography
• Computational Complexity
• Group Theory
• +۴ مورد دیگر

Vladimir Shpilrain is a Professor in the Department of Mathematics at The City College of New York (CUNY). His primary research focuses on post-quantum cryptography, computational complexity, and algorithmic problems in group theory. He is a leading figure in applying algebraic methods to cryptographic protocols and has contributed to foundational work in non-commutative cryptography. His academic affiliations include the Algebraic Cryptography Center and collaborative projects at the intersection of mathematics and computer science. Shpilrain has authored over 100 publications, including two influential books on combinatorial and computational group theory. His work bridges pure mathematics (e.g., combinatorial group theory, affine algebraic geometry) with applied areas like secure communication and blockchain technology. He holds patents for cryptographic systems and has advised numerous students in interdisciplinary research areas. Shpilrain teaches advanced courses in linear algebra, probability theory, and cryptography. His research is supported by grants exploring post-quantum security, Cayley hash functions, and delegation protocols. Collaborations span global institutions, emphasizing both theoretical rigor and practical applications in information security.

Antonios Michalasمشاهده پروفایل

استاد

• Applied Cryptography
• Privacy Enhancing Technologies
• Privacy-Preserving Machine Learning
• +۷ مورد دیگر

Antonios Michalas is a Professor at Tampere University's Department of Computing Sciences, leading the Network and Information Security group (NISEC). His expertise spans Applied Cryptography, Privacy-Preserving Technologies, and Cyber Security. He holds a PhD from Aalborg University and has held roles from Assistant Professor to Professor at institutions including Tampere University, University of Westminster, and RISE Sweden. His research focuses on securing communication protocols, privacy in machine learning, and blockchain fairness. He actively contributes to projects like PiQASO (Post-Quantum Cryptography transition) and HARPOCRATES (privacy in health data). Education: PhD in Provable Security and Privacy (Aalborg University, 2013), MSc in Information Technology & Telecommunications (Athens Information Technology, 2007), BSc in Theoretical Mathematics (University of Crete, 2006). Research Interests: Developing cryptographic schemes for encrypted data operations, privacy-preserving machine learning, blockchain fairness, and secure IoT systems. Recent work includes privacy-preserving video classification, hybrid homomorphic encryption, and mitigating attacks in split learning. Grants/Projects: Leads PiQASO (Digital Europe), FACILITATE (EU), and ASCLEPIOS (EU health data security). Published over 50 peer-reviewed papers, with a focus on functional encryption, secure protocols, and privacy-preserving analytics. Teaches security and cryptography courses, emphasizing practical programming assignments and theoretical security analysis. Labs/Teams: NISEC group conducts cutting-edge research in cryptography and security, with activities spanning theoretical foundations to real-world implementations. Collaborates internationally on projects addressing post-quantum cryptography, cloud security, and privacy in health systems.

Yanhua Hongمشاهده پروفایل

عضو هیئت علمی

• Semiconductor Lasers
• Nonlinear Dynamics
• Chaos Theory
• +۳ مورد دیگر

Dr. Yanhua Hong is a Reader in the School of Computing and Engineering at Bangor University. His research focuses on nonlinear dynamics of semiconductor lasers, chaos theory, and their applications in optical communications and microwave photonics. He leads projects such as 'Microwave Photonics Generation Using Low-Cost VCSELs' and has published extensively in journals like Optics Express and Photonics. Key areas of expertise include semiconductor laser dynamics under optical feedback, secure communication systems leveraging chaotic signals, and the design of photonic microwave generation systems. Hong collaborates internationally with institutions like Southwest University (China) and the Universitat Politècnica de Catalunya (Spain). He actively supervises PhD students and examines external theses. Recent work highlights include high-speed secure stream ciphers using synchronized chaos, optimization of multimode fiber imaging systems, and analysis of intermittent laser dynamics via reservoir computing. His contributions bridge fundamental research with applied photonics, contributing to advancements in optical security, signal processing, and next-generation communication networks.

Shangqing Zhaoمشاهده پروفایل

استادیار

• Novel mobile system design
• Network science
• Mobile and network security
• +۲ مورد دیگر

Dr. Shangqing Zhao is an Assistant Professor in the School of Computer Science at the University of Oklahoma, with campuses in Norman and Tulsa. He earned his Ph.D. in Systems and Security from the University of South Florida in 2021. His research focuses on novel mobile system design, network security, and machine learning applications in security. He has published in top-tier venues like MobiCom, NSDI, and IEEE Transactions. Awards include the IEEE ICCCN 2023 Best Paper Award and an NSF grant for adversarial-driven physical layer security. Education Ph.D., Systems and Security, University of South Florida (2021) M.S., Communication and Information Systems, Henan Polytechnic University B.A., Business Administration, Fujan Agriculture and Forestry University Research Interests Dr. Zhao’s work spans mobile system design , network security , and machine learning for security . He explores data-driven approaches to improve system resilience against adversarial attacks, including spectrum attacks, wireless authentication vulnerabilities, and AI-driven security solutions. His research bridges theory and practice, with impactful contributions to IEEE conferences and journals. Publication Trends His articles emphasize adversarial machine learning , wireless security protocols , and AI applications in healthcare . Recent work tackles quantum ML security, breath inference defenses, and mmWave network optimization. The 2023 Best Paper Award highlights his innovation in dynamic routing protocols against network inference attacks. Grants & Awards NSF SaTC Grant (Adversarial-Driven Physical Layer Security) OU DISC Grant (Capsule Forensics) IEEE ICCCN 2023 Best Paper Award Advising & Students He currently advises Ph.D. students Jinmiao Chen, Xinyu Cao, Yu Cai, and Reza Babaei (co-advised), along with master’s student Yanyan Luo. His lab focuses on practical security solutions for emerging technologies like mmWave and IoT.

Duong Hieu Phanمشاهده پروفایل

استاد

• Cryptography
• Provable Security
• Public-Key Encryption
• +۷ مورد دیگر

Duong Hieu Phan is a Professor at Télécom Paris (Institut Polytechnique de Paris) since 2020, leading the Cybersecurity and Cryptography (C²) research team within the Laboratoire Traitement et Communication de l'Information (LTCI). Previously, he held academic positions at University of Limoges (2015–2020) and University of Paris 8-13 (2007–2015). He obtained his Ph.D. in Cryptography from École Normale Supérieure under David Pointcheval, followed by postdoctoral research at University College London and a research engineer role at France Telecom R&D. His research focuses on provable security for cryptographic schemes, including public-key encryption, digital signatures, broadcast encryption, traitor tracing, functional encryption, and privacy-preserving systems. Notable contributions include foundational work on anamorphic cryptography, multi-client functional encryption, and zero-knowledge proofs of quantumness. Dr. Phan has served in leadership roles such as General Co-Chair of ASIACRYPT 2016 and membership in the ASIACRYPT Steering Committee since 2013. He actively participates in international conferences as a program committee member and has contributed to initiatives like the CNRS LIA ForMath Vietnam-Singapore. His publications span over 70 works in top-tier venues like CRYPTO, EUROCRYPT, ASIACRYPT, and IACR journals, emphasizing theoretical advancements and practical security solutions. His recent work explores quantum-resistant cryptography, privacy-preserving protocols, and decentralized systems.

Kristin E. Lauterمشاهده پروفایل

استاد مدعو

• Cryptography
• Cryptology
• Homomorphic Encryption
• +۷ مورد دیگر

Kristin E. Lauter is a Senior Director of FAIR Labs North America at Meta AI (2022–present), based in Seattle. She also holds an Affiliate Professor position in the Department of Mathematics at the University of Washington (2008–present). Her research focuses on cryptography, particularly Elliptic Curve Cryptography, Homomorphic Encryption (via SEALcrypto.org), and the intersection of AI and cryptography (AI4Crypto/Private AI). Previously, she spent 22 years at Microsoft Research (1999–2021), where she led the Cryptography Group. She earned her BA, MS, and PhD in Mathematics from the University of Chicago (1990–1996). Her key contributions include work on Supersingular Isogeny Graphs, Homomorphic Encryption standards, and machine learning attacks on lattice-based cryptography. Awards include Fellowships from the AMS, SIAM, and AAAS, and honorary membership in the Royal Spanish Mathematical Society. Lauter has also served as President of the Association for Women in Mathematics (2015–2017). Research interests span both theoretical and applied cryptography, with emphasis on post-quantum systems and privacy-preserving AI. Recent work includes benchmarking cryptographic systems against ML-driven attacks and developing efficient lattice reduction algorithms.

Selçuk Köseمشاهده پروفایل

استاد

• Hardware Security
• On-Chip Power Delivery
• Cryogenic Electronics
• +۳ مورد دیگر

Selçuk Köse is a Full Professor in the Department of Electrical and Computer Engineering at the University of Rochester. Previously, he held positions at the University of South Florida as an Assistant Professor (2012-2018) and Associate Professor (2018-2019). He earned his B.Sc. from Bilkent University (2006), M.S. and Ph.D. from the University of Rochester (2008 and 2012, respectively). His research focuses on hardware security (side-channel attacks, fault injection, PUFs), on-chip power delivery, cryogenic electronics, graphene nanoribbon transistors, and nature-inspired computing (e.g., Ising machines). He has received prestigious awards including the NSF CAREER Award (2014) and Cisco Research Awards (2015–2017). His recent work emphasizes security in quantum computing interfaces, power delivery networks, and covert channel mitigation. Research funding comes from NSF, DARPA, DoE, and industry partners. He serves as an associate editor for IEEE and Springer journals.

Zhiwei Liمشاهده پروفایل

استادیار

• Materials Chemistry
• Nanoscience
• Quantum Chemistry
• +۵ مورد دیگر

Zhiwei Li is an Assistant Professor in the Department of Chemistry and Biochemistry at the University of Maryland College Park, joining in August 2024. He holds a Ph.D. in Physical Chemistry from the University of California Riverside (2014–2019), an M.Sc. in Materials Science from Soochow University (2011–2014), and a B.Sc. in Materials Science from Soochow University (2007–2011). Prior to his current role, he was a Postdoctoral Fellow at Northwestern University under Prof. Chad Mirkin (2022–2024) and a Research Assistant at UCR under Prof. Yadong Yin and Prof. Nosang V. Myung (2014–2022). His research focuses on: Controlled synthesis of magnetic, metallic, and semiconductor nanomaterials Programmable assembly of smart nanostructured materials and quantum superlattices High-throughput synthesis and AI-driven discovery of nanocrystals for energy applications Notable achievements include the IIN Outstanding Researcher Leader Award (2024) , IAAM Scientist Medal (2023) , and Richard P. Van Duyne Postdoctoral Fellowship (2022) . The Li Research Group's work spans photonic metamaterials, quantum engineering, and energy storage, with emphasis on stimuli-responsive systems and nanocrystal megalibraries. His lab integrates computational modeling, combinatorial synthesis (e.g., polymer pen lithography), and AI to accelerate materials discovery. Current projects include DNA-mediated assembly of quantum metamaterials and high-throughput screening of perovskite nanocrystals for photovoltaics.

Abraham Westerbaanمشاهده پروفایل

مدرس

• Category Theory
• Von Neumann Algebras
• Operator Algebras
• +۴ مورد دیگر

Dr. Abraham Westerbaan is a Lecturer at Radboud University's ICIS (Digital Security Department) and a Scientific Programmer at Radboud's iHub. He earned his Ph.D. in 2019 under the supervision of Bart Jacobs, defending a thesis titled *The Category of Von Neumann Algebras*, which explores foundational aspects of operator algebras and category theory. His research spans quantum computing, mathematical logic, and cryptographic systems, with notable contributions to quantum programming languages and mathematical structures in theoretical physics. Westerbaan's work integrates advanced algebraic concepts with computational security, reflecting his dual role in academic research and applied scientific programming. His publications emphasize categorical frameworks for quantum mechanics, operational quantum logic, and cryptographic protocols for network privacy. He maintains an active GitHub repository documenting his thesis and related projects, showcasing collaborations in operator algebra theory and computational mathematics. While no specific grants or awards are explicitly listed, his extensive publication record and academic roles indicate sustained engagement with cutting-edge research in theoretical computer science and mathematical physics. His affiliations with ICIS and the iHub highlight a commitment to both foundational inquiry and applied technological development.

Mehmet Ozenمشاهده پروفایل

استاد

• Information and Coding Theory
• Algebra
• Number Theory
• +۴ مورد دیگر

Prof. Dr. Mehmet Ozen is a faculty member at the Faculty of Science, Department of Mathematics, Sakarya University. His research focuses on Information and Coding Theory , Algebra , and Number Theory , with particular emphasis on Quantum Codes , Cyclic Codes , and Finite Rings . Education : Licence from Aegean University (1994), Master's (1998) and Doctorate (2002) from Sakarya University, all in Mathematics. Research Trends : Analysis of modules with S-Noetherian/Artinian properties, construction of perfect codes over finite rings with RT/Mannheim metrics, and quantum code development using Gaussian/Lipschitz integers. Scientific Awards : TÜBİTAK Scientific Publication Incentive Award (2004) TÜBİTAK Award (2006) TÜBİTAK Awards (2011, 2012) Thesis Supervision : Advised doctoral students on topics including quantum codes over Gaussian integers (2011), spotty weight identities (2010), and DNA code algebra (2009).

• Applied Mathematics
• Cryptography
• Key Exchange Protocols
• +۳ مورد دیگر

Adriana Remedios Suárez Corona is a Professor at the Universidad de León , affiliated with the Department of Mathematics and the School of Industrial, Informatics, and Aerospace Engineering . Her research focuses on applied mathematics , particularly in cybersecurity , key exchange protocols , and semigroup action problems . Her work intersects mathematics , computer science , and quantum computing , with publications analyzing cryptographic systems based on group theory and finite fields . She has collaborated with researchers like Rainer Steinwandt and Kashi Neupane . Key Research Topics : Semigroup Action Problem, Identity-Based Encryption, Deniable Authentication, Quantum Cryptanalysis Methodologies : Algebraic Structures, Discrete Logarithm, Computational Security Her email is asuac@unileon.es .

Claudia Álvarez Aparicioمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Cybersecurity in Autonomous Systems
• +۳ مورد دیگر

Claudia Álvarez Aparicio is an Assistant Professor at the Department of Mechanical, Informatics and Aerospace Engineering, within the College of Industrial, Informatics and Aerospace Engineering at the University of León. Her work focuses on robotics, cybersecurity, and machine learning applications in autonomous systems. Doctorate in Machine Learning for Service Robots (2022) Research interests span Robotics , Cybersecurity , and Machine Learning . Her recent publications analyze Cybersecurity in robotic platforms, SQL injection detection , blockchain-based black boxes , and unsupervised learning for traffic anomalies. Key themes include LiDAR sensors , autonomous systems , and security evaluation .

• Cryptography
• Information Security
• Symmetric Encryption
• +۱۱ مورد دیگر

Leonie Simpson is an Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. Her research and teaching are centered on cryptography and information security, with a strong focus on symmetric encryption, key management, and secure communications. Her research interests include: Symmetric encryption algorithms for real-time communications Authenticated encryption and security-efficiency trade-offs Boolean functions in cipher design for cyber attack resistance Information security management and threat information sharing IoT and vehicular communication security Leonie has published over 80 articles and three book chapters on symmetric ciphers. Her recent publications emphasize lightweight cryptography for connected vehicles, anomaly detection in key management via metadata, and secure frameworks for post-quantum migration. These works reflect a consistent trend toward practical, efficient, and resilient cryptographic solutions for emerging technologies. She has supervised 12 PhD and 1 Master’s student to completion and currently mentors 5 research students. Her grants include leadership in the Cyber Security CRC and an ARC project on secure stream ciphers. She also serves on the editorial board of the journal Cryptography and has chaired major conferences like ACISP 2013 and 2023. Notable professional roles include: Theme Leader, Resilient Systems, Cyber Security CRC Editorial Board Member, Cryptography journal Program Co-chair, ACISP 2013 and 2023 Referee for top journals and conferences in cryptography She has led industry security analyses and served as an expert witness in a Federal Court case on cryptographic telecommunications. Her teaching includes unit coordination for Cyber Security and previous development of multiple information security and cryptography units at QUT.

• Privacy-Preserving Machine Learning
• Reinforcement Learning
• Data Privacy and Security
• +۵ مورد دیگر

Associate Professor Kee Siong Ng is affiliated with the School of Computing at the Australian National University (ANU). His research focuses on privacy-preserving technologies, reinforcement learning, distributed systems, and blockchain applications. He has contributed extensively to areas such as privacy-preserving machine learning, federated learning, entity resolution, and scalable database systems. His work emphasizes balancing computational efficiency with privacy guarantees in data-driven environments. Key research contributions include methodologies for secure data processing in federated learning frameworks, privacy-preserving reinforcement learning for population-level systems, and blockchain-based digital identity solutions. He has led projects like Integrated Graph Analytics and contributed to initiatives involving the Australian Medicare dataset. His research often intersects theoretical foundations with practical implementations, addressing challenges in scalability and real-world applicability. Ng has published over 24 peer-reviewed articles, with notable works appearing in venues like IEEE Transactions on Parallel and Distributed Systems and Transactions on Machine Learning Research . His articles frequently explore cutting-edge topics such as differential privacy, approximation algorithms, and multi-agent systems. Collaborations include industry partnerships and interdisciplinary efforts involving health informatics and financial intelligence. His projects include Integrated Graph Analytics (2018–2021): Focused on scalable graph-based data analysis. Translational Fellowship (2018–2022): Bridging theoretical research with practical applications. Research on Data Sets for Health and Pharmaceutical Schemes (2020): Analyzing Medicare and pharmaceutical data with privacy safeguards. Ng's work prioritizes ethical AI and privacy-by-design principles, with a focus on real-world deployment challenges in distributed and federated systems.