جست‌وجوی استاد و پژوهشگر

Jorge Bernal Bernabéمشاهده پروفایل

دانشیار

• Cybersecurity
• Privacy Management
• Trust Management
• +۷ مورد دیگر

Jorge Bernal Bernabé is an Associate Professor at the Department of Communications and Information Engineering (DIIC) of the University of Murcia (UMU). He focuses on security, trust, and privacy management in distributed systems , particularly in Internet of Things (IoT), Software-Defined Networking (SDN), Network Function Virtualization (NFV) , and blockchain technologies . His work spans European projects like Resilmesh, RIGOUROUS, ERATOSTHENES, and INSPIRE-5Gplus. His research emphasizes Automated security policy enforcement Privacy-preserving credentials Federated learning for anomaly detection Network slicing for 6G security Cyber situational awareness Scientific awards include Best PhD Thesis Award (2015) AXA Postdoctoral Scholarship (2019) ANECA Associate Professor accreditation (2020) Best Paper Award (2009) He serves on editorial boards for journals like Frontiers in Blockchain (Blockchains Security and Privacy section), Electronics (Networks Section), and Security and Communication Networks . As a program committee member, he co-chaired SecSoft 2025 and organized workshops like ECoSP 2018.

• Collective Intelligence
• Multiagent Systems
• Knowledge Diffusion
• +۳ مورد دیگر

Marcin Maleszka is a researcher at the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specializing in collective intelligence , multiagent systems , knowledge diffusion , and knowledge integration . His work bridges computational models with social dynamics, focusing on group learning, recommendation systems, and secure data sharing. Current affiliation: Department of Applied Informatics, Wrocław University of Science and Technology Email: marcin.maleszka@pwr.edu.pl Office hours: Wednesday 13:30–15:00, Thursday 13:00–15:00, Saturday 16:45–17:45 His research explores how agent-based systems can model social collectives, optimize knowledge transfer, and enhance educational and healthcare technologies. Recent publications highlight applications in digital heritage , medical diagnostics , and urban mobility , with methodologies spanning GANs , ANNs , and agent modeling . Key publication trends include: Integration of Generative Adversarial Networks and Graph Neural Networks for heritage data Development of agent-based models for group learning Security mechanisms in peer-to-peer systems using attribute-based encryption Applications in medical imaging and traffic modeling Contact details: Address: ul. Z. Janiszewskiego 11/17, 50-372 Wrocław Room: C-3, 15 (Wrocław) and D-1, 30 (during Saturday office hours) Phone: +48 71 320 2938

• 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 .

• Computer Vision
• Machine Learning
• Image Processing
• +۵ مورد دیگر

Dr. Xin Lin is a Professor at the School of Computer Science and Technology, University of Science and Technology of China in Hefei. With an extensive publication record spanning computer vision, machine learning, and artificial intelligence, Dr. Lin leads a research group focused on solving challenging problems in image processing, robotics, and wireless communications. His work bridges theoretical advancements with practical applications across healthcare, autonomous systems, and industrial manufacturing. Dr. Lin's research interests encompass computer vision, machine learning, image processing, and artificial intelligence, with particular expertise in image restoration, 3D object detection, and human pose estimation. His laboratory develops innovative approaches to handle multiple image degradations simultaneously and create lightweight, efficient vision systems suitable for real-world deployment. The research demonstrates strong interdisciplinary connections, applying computer vision techniques to medical imaging, satellite communications, and industrial IoT applications. Analysis of Dr. Lin's recent publications reveals a strong focus on multi-task learning approaches that address multiple image degradation problems simultaneously. His work shows increasing sophistication in handling complex real-world scenarios, from low-light conditions to rain interference, while maintaining computational efficiency. The research trajectory demonstrates a clear path from fundamental image processing techniques to practical applications in autonomous driving, healthcare, and industrial systems. Dr. Lin has received recognition for his contributions to the field through numerous publications in top-tier venues including CVPR, IEEE Transactions, and ACL. His work on image restoration, particularly the Dual Degradation Representation framework, has gained significant attention in the computer vision community. Dr. Lin actively supervises graduate students and collaborates with researchers worldwide. His laboratory works on cutting-edge projects involving digital twins for manufacturing, satellite communications, and medical imaging applications. Current research directions include developing more robust and efficient models for real-world deployment scenarios, with particular attention to resource-constrained environments.

Somindu Chaya Ramannaمشاهده پروفایل

استادیار

• Cryptography
• Cryptographic Protocols
• Algorithmic Game Theory
• +۳ مورد دیگر

Somindu Chaya Ramanna is an Assistant Professor in the Department of Computer Science and Engineering at IIT Kharagpur. Previously, he held a postdoctoral position at ENS de Lyon (2015–2016) and served as an assistant professor on contract at IIT Bhubaneswar. His research focuses on cryptography, computational number theory, and algorithmic game theory. He completed his Ph.D. at the Indian Statistical Institute under Prof. Palash Sarkar. Education: Ph.D. in Cryptography, Indian Statistical Institute, Kolkata (Advisor: Prof. Palash Sarkar) Postdoc at ENS de Lyon, France (2015–2016) Research Interests: Design and analysis of cryptographic primitives Functional encryption schemes Algorithmic game theory applications Computational number theory algorithms Efficient cryptographic protocols Teaching & Courses: Algorithmic Game Theory (CS60025) Foundations of Cryptography (CS60088) Computational Number Theory (CS60094) Randomised Algorithm Design (CS60029)

• Computer Science
• Software Engineering
• Access Control
• +۳ مورد دیگر

Ning Shen is a researcher in computer science with a focus on security and testing methodologies. Their work spans access control policies, database encryption, and automated testing techniques. Research Interests: XACML policy testing and analysis Order-preserving encryption for databases Automated and mutation testing Formal verification of security protocols

Huijia Linمشاهده پروفایل

استاد

• Cryptography
• Theoretical Computer Science
• Computer Security
• +۹ مورد دیگر

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.

Tal Malkinمشاهده پروفایل

استاد

• Cryptography
• Foundations of Cryptography
• Secure Computation
• +۸ مورد دیگر

Tal Malkin is a Professor of Computer Science at Columbia University's Fu Foundation School of Engineering and Applied Science, where she directs the Cryptography Lab and was the inaugural chair of the Cybersecurity Center at the Data Science Institute. She holds a BS in Math and Computer Science from Bar-Ilan University, an MS in Computer Science from the Weizmann Institute of Science, and a PhD in Computer Science from MIT. Her research focuses on the foundations of cryptography, with connections to complexity theory, information theory, and machine learning. She has made significant contributions to secure computation, private search, non-malleable codes, leakage and tamper resilient cryptography, and strong public key encryption. She is a member of Columbia's Theory Group and Systems Security Center. Professor Malkin has chaired major conferences including CRYPTO, CCS, TCC, ACNS, and CT-RSA, and chairs the Theory of Cryptography Conference steering committee. She has served on numerous program and steering committees for leading cryptography and theoretical computer science conferences. IACR Fellow NSF CAREER Award recipient Multiple industry faculty awards (JP Morgan, IBM, Amazon, Google) Avanessians Diversity Award Presidential Teaching Award at Columbia University She has advised numerous PhD students whose research spans secure computation, attribute-based encryption, symbolic model learning, and cryptographic complexity. Her teaching includes advanced cryptography courses covering information-theoretic cryptography, homomorphic encryption, lattices, data privacy, and secure multiparty computation.

• Security
• Theoretical Computer Science
• Formal Methods
• +۷ مورد دیگر

Christian Johansen is a Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Systems Security group (S2G) and is affiliated with the Center for Cyber and Information Security (CCIS), the Norwegian Cyber Range, and the S2G Playground. Professor Johansen's research focuses on Security and Theoretical Computer Science, with emphasis on developing formal methods and tools for ensuring reliability of complex systems. His work spans security, safety, and concurrency properties in software systems, cyber-physical systems like Smart Grids, Internet of Things security, and modeling concurrency in multi-core and high-performance computing. Among his notable contributions are the Timed Distributed pi-calculus, ST-structures, Dynamic Structural Operational Semantics, Synchronous Kleene Algebra, and Higher Dimensional Modal Logic. His research interests include modeling of security protocols, programming language semantics, verification of distributed systems, concurrent systems modeling, and legal electronic contracts. His recent publications show a strong trend toward concurrency theory, security, and privacy, with significant contributions to pi-calculus variants, higher-dimensional automata, attribute-based encryption, and semantic access control frameworks. Many of his papers appear in top venues such as CONCUR, ATVA, FM, POST, CCS, JLAMP, IJCIP, FMSD, and LMCS. Professor Johansen actively mentors students and collaborators, having worked with Manish Shrestha on the LightSC Security Classification Method for Smart Grids and IoT, and with Bjørnar Luteberget on the SAT modulo Discrete Event Simulation method for railway capacity verification. He has secured funding from competitive sources including EU-FP7-FET-Young-Explorers, Horizon-2020, NFR-FRINATEK, UK's EPSRC, and ECSEL-JU. His work often bridges theoretical computer science with practical security applications in critical infrastructure domains.

• Data Science
• IoT
• Blockchain
• +۵ مورد دیگر

Zheng Wen is an Associate Professor (non-tenure-track) at Waseda University, affiliated with the Faculty of Science and Engineering and the Global Center for Science and Engineering. His research spans multiple interdisciplinary domains at the intersection of information technology, security systems, and artificial intelligence applications. Dr. Wen received his Ph.D. from Waseda University between 2013 and 2019, following undergraduate studies at Wuhan University from 2005 to 2009. Dr. Wen's research interests focus on the convergence of emerging technologies for practical applications. His primary areas include Data Science , Internet of Things (IoT) , Blockchain , and Artificial Intelligence , with specific applications in communication networks, disaster management, and content-oriented networking. His work demonstrates a strong emphasis on solving real-world problems through technological innovation, particularly in security-critical domains. Analysis of Dr. Wen's publication record reveals a consistent research trajectory focused on applying machine learning and AI techniques to security and communication challenges. His recent work shows increasing emphasis on blockchain applications for IoT security, GNSS spoofing detection for drone systems, and millimeter-wave imaging for security applications. The interdisciplinary nature of his research connects computer science, electrical engineering, and practical security implementations. Dr. Wen is an active member of professional organizations including IEEE and IEICE, reflecting his engagement with the broader academic community in his fields of expertise. While specific details about his advising and grant activities are not provided in the available information, his extensive publication record across multiple domains suggests active research supervision and likely participation in collaborative research projects. His work on drone security, blockchain applications, and millimeter-wave imaging indicates potential industry partnerships and practical implementations of his research. Dr. Wen's research appears to be conducted within collaborative teams focusing on security systems, wireless communications, and AI applications, with frequent co-authorship patterns suggesting established research groups working on related projects in these domains.

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.