جست‌وجوی استاد و پژوهشگر

• Reconfigurable Computing
• Hardware-Software Systems
• Cryptographic Engineering
• +۴ مورد دیگر

Dr. Marcin Lukowiak is a Professor in the Department of Computer Engineering at the Kate Gleason College of Engineering, Rochester Institute of Technology (RIT). He holds dual B.S. and M.S. degrees in Control and Systems Engineering and a Ph.D. in Electrical Engineering from Poznan University of Technology (Poland). His research focuses on reconfigurable computing, cryptographic engineering, FPGA architectures, and high-performance computing. Notable projects include FPGA-based cryptographic systems, security-oriented computing curricula, and hardware implementations of algorithms like Skein hashing and Keccak tree hashing. Dr. Lukowiak has authored numerous peer-reviewed publications, including works on secure medical device communication, customizable encryption algorithms, and high-level synthesis (HLS) optimizations. His contributions span conferences such as MILCOM, ReConFig, and IEEE symposia. He teaches courses in digital system design, reconfigurable computing, and cybersecurity, emphasizing hands-on FPGA and VHDL laboratory experiences. His work bridges hardware and software domains, with applications in defense systems, telemedicine, and cloud computing.

Nada El Kassemمشاهده پروفایل

پژوهشگر ارشد

• Cryptography
• Hardware Security
• Quantum Computing
• +۲ مورد دیگر

Dr. Nada El Kassem is a Research Fellow in Trusted Computing and Applied Cryptography at the Computer Science Research Centre, University of Surrey's Faculty of Engineering and Physical Sciences. Her current research focuses on anonymous authentication, quantum-resistant cryptographic solutions, hardware security, and fully homomorphic encryption. She has made significant contributions to lattice-based cryptography, particularly in Direct Anonymous Attestation (DAA) schemes for trusted platform modules. Her research explores cryptographic protocols that maintain security against quantum computing threats while optimizing for efficiency in constrained hardware environments. Recent publications demonstrate advancements in post-quantum signature schemes, privacy-preserving identity systems, and efficient lattice-based implementations. Before joining Surrey, El Kassem taught mathematics courses including Linear Algebra, Calculus, and Engineering Mathematics at Lebanese International University (2008-2011) and led tutorial sessions for Foundations of Computing at Surrey.

• Applied Cryptography
• Theoretical Cryptography
• Computer Security

David Wu serves as a Visiting Professor in the Department of Computer Science at the University of Virginia, having joined the institution in January 2019 as an Assistant Professor after completing his PhD at Stanford University. His academic career focuses on advancing cryptographic research and its practical applications in computer security systems. His educational background includes: PhD in Computer Science, Stanford University (2018) Dr. Wu's research spans Applied and Theoretical Cryptography with particular expertise in attribute-based encryption (ABE), broadcast encryption, and zero-knowledge proof systems. His work addresses foundational challenges in cryptographic protocols while developing practical solutions for data privacy, secure access control, and efficient secure computation. Recent investigations explore lattice-based constructions and privacy-enhancing technologies for real-world deployment. Analysis of his 2023-2025 publications reveals a concentrated focus on registered ABE systems, adaptively-secure broadcast encryption, and succinct non-interactive arguments (SNARGs). A significant portion leverages learning with errors (LWE) assumptions to achieve security and efficiency, with notable contributions to private information retrieval (PIR) systems and witness encryption. His research consistently bridges theoretical cryptography with practical security implementations.

Jhansi Prathuriمشاهده پروفایل

استاد آموزشی

• Cryptography
• Data Science
• Machine Learning
• +۳ مورد دیگر

Jhansi Rani Prathuri is an Instructional Professor in the Department of Computer and Data Sciences at Merrimack College. She holds a Ph.D. in Computer Science from the University of Hyderabad, an M.S. in Computer Science and Engineering from Andhra University College Engineering, and a B.S. in Computer Science and Engineering from Nagarjuna University. Her research focuses on cryptography, particularly chaos-based cryptographic systems, with contributions to hash functions, pseudorandom bit generators, and symmetric encryption schemes that prioritize low computational complexity and cryptanalysis-friendly design. She also works on machine learning applications in network security, medical data privacy, and social media analysis. In collaboration with Eurofins IT Solutions India Pvt Ltd, she explored machine learning-driven risk assessment for software code changes. Her recent publications emphasize homomorphic encryption, FPGA-based cryptographic implementations, and wireless ad-hoc network security.

Amr Alanwar Abdelhafezمشاهده پروفایل

استاد مدعو

• Cyber-Physical Systems (CPS)
• Privacy-Preserving Techniques
• Reachability Analysis
• +۵ مورد دیگر

Amr Alanwar Abdelhafez is an Adjunct Professor of Computer Science at Constructor University Bremen’s School of Computer Science & Engineering. Previously, he held Assistant Professor roles at Technical University of Munich (Heilbronn Campus) and Jacobs University Bremen. His research focuses on Cyber-Physical Systems (CPS), emphasizing safety, privacy, and formal verification. He earned his Ph.D. from TU Munich’s Cyber-Physical Systems Group (2020), with prior roles including postdoc at KTH Royal Institute of Technology and research positions at UCLA and University of Waterloo. Education: Ph.D. in Cyber-Physical Systems, Technical University of Munich (2015–2020) M.Sc. in Engineering Science (Protection and Detection Hardware Trojan), Ain Shams University (2010–2013) B.Sc. in Computer and Control Systems Engineering, Ain Shams University (2005–2010) Research Interests: His work bridges theoretical foundations and practical applications in CPS, including privacy-preserving state estimation, resilient control systems, reachability analysis, and formal verification for autonomous systems. He develops methods to ensure safety and privacy in distributed systems, leveraging tools like zonotopes and homomorphic encryption. Key Contributions: Developed logical zonotopes for efficient representation of discrete systems. Advanced event-triggered control and diffusion strategies for distributed systems. Pioneered privacy-preserving techniques (e.g., CryptoImg, PrOLoc) using homomorphic encryption. Contributed to safety-critical applications like autonomous vehicle situational awareness and secure sensor networks. Awards & Recognition: Best Demonstration Paper Award at IPSN/CPSWeek 2017 Qualcomm Innovation Fellowship finalist (2017 and 2018) First place in TUM Graduate School Competition (2019) Grants & Industry Links: His work is supported by collaborations with institutions like IBM and JetBrains, and his open-source tools (e.g., Event-Triggered Diffusion Kalman Filters, Logical-Zonotope repository) are widely used in CPS research. Labs & Teams: Leads research on CPS safety and privacy at TU Munich, with active contributions to Constructor University’s CPS initiatives and GitHub repositories showcasing implementations of his methodologies.

Sébastien Canardمشاهده پروفایل

استاد

• Cybersecurity
• Cryptography
• Data Confidentiality
• +۳ مورد دیگر

Sébastien Canard is a Professor at Télécom Paris since 2023, specializing in cryptography and cybersecurity. He holds a PhD from Orange (2003) and a Habilitation thesis from the University of Caen Normandy (2009) on 'cryptography for privacy'. His research focuses on advanced encryption techniques (homomorphic/functional), privacy in contactless services, IoT/V2X security, and quantum-resistant systems. He has supervised ~15 PhD students via CIFRE programs and led projects funded by ANR (PACE, SIMPATIC) and the EU (SUPERCLOUD, PAPAYA, PROMETHEUS). His teaching covers cryptographic mechanisms, protocols in constrained environments, and cloud data protection. Notable achievements include awards from NIST’s post-quantum cryptography competition and the French Ministry of Higher Education. He manages the Cybersecurity and Cryptography (C²) research team at the LTCI laboratory, contributing to initiatives like the Quriosity team and HAL interface updates.

• Wireless Communications
• Deep Learning
• Signal Processing
• +۷ مورد دیگر

Thien Huynh-The is a Professor in the Department of Electrical Engineering at Chungnam National University's College of Engineering, where they lead research in wireless communications, deep learning applications, and IoT systems. With over 150 publications spanning from 2014 to 2025, their work demonstrates sustained academic productivity with significant contributions to 5G/6G networks, spectrum sensing, and federated learning architectures. Research interests focus on the intersection of deep learning and wireless communications, particularly in automatic modulation classification, semantic segmentation for remote sensing, and energy-efficient communication protocols. Their innovative approaches include developing specialized CNN architectures like SRNet for spectrum sensing and CosPoint Transformer for 3D semantic segmentation, addressing critical challenges in 5G/6G systems and metaverse infrastructure. Recent work explores STAR-RIS-aided networks, waveform classification for integrated radar-communication systems, and privacy-preserving federated learning for healthcare applications. Analysis of publication trends reveals increasing focus on metaverse technologies and 6G communications since 2022, with significant contributions to IEEE Communications Surveys & Tutorials and IEEE Internet of Things Journal. Key research areas include federated learning optimization, channel estimation techniques using attention networks, and semantic communication frameworks for edge-assisted metaverse applications. Collaborative research spans multiple institutions with frequent co-authorship with Dong-Seong Kim, Quoc-Viet Pham, and Won-Joo Hwang. Current projects address critical challenges in wireless power transfer, spectrum efficiency, and computational resource allocation in next-generation networks.

Ivan Bjerre Damgårdمشاهده پروفایل

استاد

• Cryptography
• Secure Communication
• Multi-Party Computation (MPC)
• +۳ مورد دیگر

Professor Ivan Bjerre Damgård is affiliated with the Department of Computer Science at Aarhus University, where he holds a full academic rank of Professor. His primary research focus lies in cryptography, secure communication, and privacy-preserving technologies. Key areas include multi-party computation (MPC), homomorphic encryption, and differential privacy. He has contributed to foundational work on secure protocols for dynamic networks, threshold cryptosystems, and resilient distributed systems. His recent publications (2023–2024) emphasize advancements in MPC protocols with optimized communication and round complexity, secure computation in unstable networks, and privacy-preserving techniques. Notable work includes 'Phoenix' (2023) addressing network instability and 'Broadcast-Optimal MPC' frameworks minimizing setup requirements. Professional activities include organizing conferences like TCC 2009 and ICALP 2008, as well as delivering lectures on cryptography and IT security. No scientific awards are explicitly listed in the provided information. His research collaborates extensively with global institutions, reflected in co-authored papers with researchers like Agarwal, Braun, and Ciampi. Ongoing work appears to prioritize practical implementations of theoretical cryptographic constructs in real-world distributed environments.

Anwar Hasanمشاهده پروفایل

استاد

• Cryptography
• Post-Quantum Cryptography
• Secure Multiparty Computation
• +۵ مورد دیگر

Anwar Hasan is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He specializes in cryptography, post-quantum cryptography, and secure computation, with a focus on algorithm optimization, cryptographic hardware implementation, and energy efficiency. His work spans theoretical foundations and applied systems, including blockchain technology, fault-tolerant cryptosystems, and secure multiparty computation. His research interests emphasize developing quantum-resistant cryptographic protocols, improving efficiency in cryptographic algorithms (e.g., EdDSA signature verification, CSIDH optimization), and designing secure systems against adversarial attacks (e.g., poisoning in federated learning, covert adversary models). He also explores energy consumption analysis of cryptographic algorithms, particularly in the context of NIST PQC standards and elliptic curve-based systems. Recent work includes contributions to threshold cryptography (isogeny-based schemes), decentralized oracle networks (CountChain), and privacy-preserving blockchain applications (AdChain). His publications frequently address hardware-software co-design for cryptographic primitives, emphasizing both theoretical advancements and practical implementation challenges. Dr. Hasan’s research also extends to applied areas such as fraud detection systems, digital rights management using blockchain, and energy efficiency in embedded cryptographic systems. He collaborates on projects involving secure communication in cloud computing and resilient key management for mobile applications.

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.

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.

Wei-Shinn Kuمشاهده پروفایل

استاد

• Data management systems
• Data analytics
• Cybersecurity
• +۳ مورد دیگر

Wei-Shinn Ku is a Professor in the Department of Computer Science and Software Engineering at Auburn University . He earned his Ph.D. in Computer Science from the University of Southern California in 2007, following M.S. degrees in Computer Science (2003) and Electrical Engineering (2006), and a B.S. in Information and Computer Education from National Taiwan Normal University (1999). As a program director at the National Science Foundation (2019–2022), he shaped research directions in data science and cybersecurity. Dr. Ku leads the Data Science and Engineering Laboratory (DSE Lab) at Auburn University, focusing on data management systems , data analytics , cybersecurity , and mobile computing . His recent work includes privacy-preserving techniques for IoT networks, spatio-temporal modeling for traffic prediction, and federated learning frameworks for mobile social networks. He has secured multiple NSF grants for projects like Indoor Spatial Query Evaluation and Data Integrity in Clouds . Dr. Ku's 15 most recent articles (2024–2025) span domains including traffic prediction , air quality modeling , secure cloud computing , and IoT security , with subfields like graph neural networks, quadtree-based optimization, and homomorphic encryption. His research has been recognized with awards such as the Auburn Alumni Engineering Council Research Award (2018, 2012) and the AFRL Summer Research Associate (2016). He has advised 18 current and graduated students in Ph.D. and M.S. programs, including Wenlu Wang, Ting Shen, and Kazuya Sakai. His professional service includes chair roles at IEEE/ACM conferences (ICDE, CIC, ICLR) and editorial positions at journals like IEEE Transactions on Knowledge and Data Engineering .

Nikolaos Foutrisمشاهده پروفایل

پژوهشگر

• Dependable Computer Architectures
• Energy-Efficient Systems
• Hardware/Software Co-Design
• +۵ مورد دیگر

Nikolaos Foutris is a Researcher at The University of Manchester, specializing in dependable and energy-efficient computer architectures. His work emphasizes hardware/software co-design, focusing on systems and processors that balance performance with reliability. Key research areas include memory optimization, GPU acceleration for cryptographic computations, and radiation effects on MPSoC systems. His research intersects with UN Sustainable Development Goals, particularly through energy-efficient technologies and resilient computing infrastructure. Collaborations span academia and industry, addressing challenges in NUMA systems, blockchain, and cloud applications. Recent publications highlight trends in memory analysis for managed applications, SPIR-V code generation frameworks, and mitigating radiation-induced errors in advanced embedded systems. No scientific awards or grants are explicitly mentioned in the provided text.

Melek Önenمشاهده پروفایل

استاد

• Applied Cryptography
• Cloud Security
• Security and Privacy for Big Data and Machine Learning
• +۳ مورد دیگر

Melek Önen is a Full Professor at EURECOM's School of Digital Security, specializing in applied cryptography, cloud security, and privacy-preserving technologies. Her work focuses on cybersecurity challenges in federated learning, big data, and IoT systems. She leads research on secure aggregation techniques, privacy-preserving machine learning, and cryptographic protocols for real-world applications like healthcare. Key research interests include federated learning security, homomorphic encryption, and privacy-aware data analytics. She has developed frameworks such as PAPAYA for privacy-preserving data analytics and UPRISE-IoT for IoT privacy solutions. Her projects often address regulatory compliance (e.g., GDPR) in cloud and distributed systems. Recent research trends show a strong focus on mitigating adversarial attacks in distributed systems, optimizing secure computation efficiency, and balancing privacy with functionality in machine learning. Notable contributions include secure biometric authentication protocols ( Nomadic ), fault-tolerant federated learning systems, and privacy-preserving image analysis methods. Önen collaborates on EU-funded initiatives like TREDISEC (trustworthy cloud security) and PAPAYA , emphasizing practical implementations. She actively contributes to open-source tools like Fed-BioMed for federated healthcare AI. Her work bridges theoretical cryptography with real-world deployment challenges.