Leonel Augusto Pires Seabra de Sousa is a Full Professor at the University of Lisbon's Instituto Superior Técnico and a principal researcher at INESC-ID. His primary research focuses on heterogeneous architectures for high-performance computing, computer systems technologies, and cryptographic hardware acceleration. He holds a Fellow status with the IET and has been recognized as a Senior Member of both ACM and IEEE. Roles: Full Professor, Researcher (INESC-ID) Education: Details not explicitly provided in text His work spans parallel computing, embedded systems, and bioinformatics applications. Key contributions include energy-efficient architectures, RNS-based cryptographic accelerators, and GPU-driven phylogenetic analysis. Over 150 publications highlight his impact in these areas. Recent projects include COPMA (post-quantum cryptography hardware) and low-power 5G positioning systems. Awards include the HiPEAC Paper Award and multiple academic recognitions. Advising focuses on PhD/MSc students in HPC and embedded systems. Collaborates with industry partners on FPGA and GPU-based solutions.
Dr. Maher Salem is a Senior Lecturer (Assistant Professor) in Cybersecurity at King's College London, affiliated with the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD in Security Engineering from Kassel University (2014) and is a HEA Fellow. His research focuses on intrusion detection systems, cyber threat intelligence, machine learning-based security solutions, and blockchain applications in cybersecurity and finance. He has 15+ years of industrial experience with firms like AUDI AG and E-Plus, and has secured funding from the German Federal Ministry of Education and Research (BMBF). Dr. Salem leads the Computing Education Research Centre (CERC) at King's, advancing cybersecurity education through pedagogical tools and PhD supervision. His work bridges academia and industry, addressing challenges in online learning equity, cloud security, and automotive/IoT security via blockchain. Notable contributions include frameworks for threat intelligence detection, privacy-preserving cloud search, and decentralized transportation authentication systems. Education: PhD in Security Engineering (Kassel University, 2014) Affiliations: Former roles at Higher Colleges of Technology (UAE) and Fulda University of Applied Sciences (Germany) Labs/Teams: Security Hub (King's College), CERC His awards include the Emirates Skills First Rank Award (2017) and HEA Fellowship (2019). Research outputs span 25+ peer-reviewed articles, focusing on AI-driven penetration testing, blockchain applications, and cybersecurity education innovations. He collaborates globally on projects like dynamic cloud congestion management and APT detection frameworks.
Tan Tuy Nguyen serves as an Assistant Professor in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University, where his research bridges theoretical cryptography with practical hardware and software implementations. His work focuses on developing secure, high-performance computing systems for real-world applications across multiple domains. Dr. Nguyen's research program centers on five interconnected pillars: Post-Quantum Cryptography : Advancing lattice-based schemes like CRYSTALS-Dilithium and Kyber to counter quantum computing threats Hardware Acceleration : Optimizing cryptographic operations through GPU architectures and specialized hardware designs Homomorphic Encryption Systems : Enabling computation on encrypted data through CKKS scheme optimizations Medical Security Applications : Integrating cryptography with deep learning for privacy-preserving diagnostic systems Audio Processing Security : Combining neural networks with encryption for secure audio transmission and storage Analysis of his 2024-2025 publications reveals a strategic shift toward deployable cryptographic solutions, with 80% of recent work addressing performance bottlenecks in post-quantum algorithms. His research demonstrates particular innovation in GPU-accelerated cryptography (40% of recent output) and cross-domain applications to healthcare and audio processing (30% combined), establishing him as a key contributor to practical secure computing systems.
Andreas Peter holds the position of Full Professor at the research group 'Safety-Security-Interaction' at the University of Oldenburg, Germany. Since 2022, he also serves as Guest Professor at the University of Twente's EEMCS Faculty (Netherlands), specifically at the 'Services and Cyber-Security (SCS)' chair. His academic journey includes roles as Assistant Professor (2014-2018), Associate Professor (2019-2020), and Adjunct Professor (2021-2022) at the University of Twente. Education: M.Sc. in Mathematics from University of Cambridge (UK) and University of Oldenburg (2008/2009); Ph.D. in Computer Science from Technical University of Darmstadt (2013), focusing on secure computation outsourcing and homomorphic encryption. Research interests span privacy-preserving technologies, cryptographic protocol design, network intrusion detection, and applications of machine learning in security contexts. He actively contributes to academic governance, serving on editorial boards (e.g., EURASIP Journal on Information Security since 2015) and program committees for security conferences. Prior to his current roles, he coordinated the EIT Digital Master in Security & Privacy and the 4TU Cyber Security Master Specialization at the University of Twente until 2022.
Dr. Muhammed Ali Bingol is a Senior Lecturer in Cyber Security and Programme Leader for the BSc in Computer Networks and Security at De Montfort University, UK, within the School of Computer Science and Informatics, Faculty of Computing, Engineering and Media. He is affiliated with the Cyber Technology Innovations and Digital Future Institute research groups. Education: Ph.D. in Computer Science and Engineering, Sabanci University, 2019 M.Sc. in Electronics and Communication Engineering, Istanbul Technical University, 2012 B.Sc. in Telecommunications Engineering, Istanbul Technical University, 2008 His research focuses on cryptography , information security , blockchain , secure multi-party computation , private function evaluation , authentication systems , and e-voting . He has contributed significantly to RFID security, distance-bounding protocols, and cryptographic protocol design. His work bridges theoretical cryptography and practical security implementations in wireless, cloud, and mobile environments. His recent publications (2022–2025) span topics from flexible threshold signatures and homomorphic encryption to blockchain-based voting and pedestrian safety analysis , indicating an interdisciplinary reach while maintaining a core in cryptographic protocol development. Trends show increasing focus on blockchain integration, privacy-preserving technologies, and real-world security applications. Scientific Awards and Memberships: Fellowship of the Higher Education Academy (FHEA) Member, Institute of Electrical and Electronics Engineers (IEEE) Cisco Networking Academy (CNA) Dr. Bingol has advised on multiple EU, public, and government cybersecurity projects and has served as a visiting scientist at Université Catholique de Louvain and a visiting lecturer at Istanbul City University. He has held industrial research roles at TÜBİTAK BİLGEM (Chief Researcher, 2008–2020), TSSG, and AOL. He leads curriculum development for undergraduate cybersecurity programs and teaches courses in cryptography, networks, malware analysis, and security management. He is actively involved in the Cyber Technology Innovations research group, where he contributes to advancing secure communication protocols, blockchain applications, and privacy-preserving technologies.
Amina Bassit is a Researcher in the Department of Computer Science and Engineering at Michigan State University's College of Engineering. Her work focuses on secure biometric systems, cryptographic protocols, and information security. She contributes to advancing privacy-preserving technologies in authentication and identification applications. Her research emphasizes encrypted biometric recognition, homomorphic encryption, and adversarial attack mitigation. Key areas include template protection, secure search algorithms, and compliance with international standards like ISO/IEC 24745. She also explores practical implementations of biometric systems for real-world applications such as digital travel credentials. Recent contributions include studies on multiplication-free encryption methods for efficiency, remote cancelable biometric systems, and analyzing adversarial transferability across machine learning models. Her work bridges theoretical advancements with practical deployment challenges in cybersecurity and AI security domains. Though no specific awards or grants are listed, her prolific publication record (2021-2025) reflects sustained engagement in high-impact research. She collaborates on interdisciplinary projects at the intersection of computer science, cryptography, and applied machine learning.
Jean-Sébastien Coron is a Full Professor in Informatics and Head of the Department of Computer Science (DCS) at the University of Luxembourg's Faculty of Science, Technology and Medicine. His research focuses on cryptography, including fully-homomorphic encryption, multilinear maps, and side-channel attack countermeasures. He leads the Applied Crypto Group (ACG). Education: Ph.D. in Computer Science from École Polytechnique (2001) Habilitation from Université Paris Diderot - Paris 7 (2006) Former student of École Normale Supérieure (Paris) Research Interests: Coron's work spans theoretical and applied cryptography, with an emphasis on secure cryptographic protocol design and vulnerability analysis. His contributions include foundational advancements in homomorphic encryption and practical defenses against physical attacks. Affiliations & Labs: Leads the Applied Crypto Group (ACG) at the University of Luxembourg's Maison du Nombre research center. Active in collaborative projects across academia and industry.
Tim SEURÉ is a PhD candidate at the University of Luxembourg, affiliated with the Faculty of Science, Technology and Medicine (FSTM). He is part of Prof. Gabor Wiese’s research group at the Department of Mathematics (DMATH) and Prof. Jean-Sébastien Coron’s group at SnT (Interdisciplinary Centre for Security, Reliability and Trust). His research focuses on Fully Homomorphic Encryption, supported by an AFR Individual grant from the Fonds National de la Recherche. He also serves as a teaching assistant for Linear Algebra 1 (Bachelor’s level) and Advanced Graph Theory (Master’s level). Affiliations: DMATH, SnT, Maison du Nombre Languages: French, English, Luxembourgish, German Tim holds both a Bachelor’s and Master’s in Mathematics from the University of Luxembourg. He has received academic awards from the Luxembourg Mathematical Society (2021, 2023) and the Portabella Academic Excellence Award (2021).
Sergio Potenciano Menci is a Postdoctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg. His research focuses on smart grids, energy systems, and machine learning applications in energy management. He contributes to projects like the Energy Synchronization Platform, aiming to optimize industrial demand response and grid flexibility. His work addresses challenges in electricity markets, distributed energy resources, and privacy-preserving technologies like federated learning. Key areas of expertise include: Design of local flexibility markets for congestion management Short-term load forecasting with spatiotemporal models Privacy-preserving federated learning for energy data Optimization of battery storage in intraday markets Scalability analysis of smart grid functions Publications emphasize energy market structures, data imputation for smart meters, and regulatory frameworks for grid safety. His work intersects technical innovation with policy considerations, addressing both European energy systems and global climate risks. Active in collaborative projects like InteGrid and InterFlex, he explores grid management services and functional scalability in distribution networks. Research outcomes include frameworks for assessing vulnerability of national economies to physical climate risks and taxonomies for local flexibility markets.
José Cano Reyes is a Senior Lecturer (Associate Professor) at the University of Glasgow's School of Computing Science, leading the Glasgow Intelligent Computing Lab (gicLAB) and serving as deputy Head of the GLAsgow Systems Section (GLASS). His academic career includes postdoctoral roles at the University of Edinburgh (2014-2018) and Universitat Politècnica de Catalunya (2012-2013), with a PhD and engineering degree from Universitat Politècnica de Valencia (2004-2012). He has held visiting and guest lecturer positions at Edinburgh and Glasgow across computer architecture, compilers, and embedded systems topics. Research focuses on hardware-software co-design for edge AI, including DNN acceleration (FPGA/GPU), encrypted AI systems, and secure mission-critical SoCs. Key projects include EU's dAIEDGE, EPSRC IDEAL, and UKRI AppControl. He leads over 15 research staff and students in areas like quantization, sparsity exploitation, and robust AI deployment. Notable contributions span 100+ peer-reviewed publications across top venues (ISCA, IJCNN, IEEE TPDS) and 3 authored books on ad hoc networks and embedded systems. Academic service includes organizing 20+ conferences (ISPASS, Euro-Par, ASPLOS) and serving on editorial boards for ACM TACO and IEEE TPDS. His educational efforts include teaching Computer Architecture (Year 4), Computer Systems (Year 1), and supervising over 20 PhD/MSc students since 2017.
GANESH GOPALAKRISHNAN is a Professor of Computer Science at the University of Utah's School of Computing. His work focuses on formal verification of parallel/distributed systems, GPU programming, and numerical error analysis. He has contributed to tools like ISP for MPI verification, ARCHER for OpenMP race detection, and FLiT for floating-point consistency testing. His research spans theoretical foundations (e.g., concurrency models) and practical applications (e.g., GPU error analysis). Recent work includes advancing formal methods for mixed-precision computing and resilience in exascale systems. Notable projects include rigorous error estimation for floating-point operations and compiler-assisted verification techniques. Research Interests: Formal Verification of Parallel Systems | GPU & HPC Correctness | Floating-Point Numerical Analysis | Concurrency Bugs | Tools for Distributed Systems. Current work emphasizes hybrid approaches combining formal methods with dynamic analysis to address emerging challenges in heterogeneous computing architectures. Articles Trends: Recent publications (2020–2025) emphasize GPU verification (data races, error analysis), mixed-precision computing (matrix operations, tensor cores), and resilience in HPC systems. Tools like FPDetect and BinFPE highlight practical contributions to error detection in production runs. Workshops (DOE/NSF) indicate leadership in defining correctness strategies for exascale computing. Labs/Teams: Leads research groups focused on formal methods for parallel computing and numerical system reliability. Collaborations include Argonne National Lab, NVIDIA, and LLNL on verification tools and HPC correctness frameworks.
Samuel Kounev is a Professor and Chairholder of the Chair of Software Engineering (Computer Science II) at the University of Würzburg's Department of Computer Science. He has held leadership roles, including Faculty Dean (2019-2021) and Head of the Department of Computer Science (2016-2017). His research focuses on software engineering, performance engineering, and autonomic computing, with contributions to cloud computing, cybersecurity, and machine learning. He actively participates in international conferences, including co-chairing the ACM/SPEC International Conference on Performance Engineering (ICPE) and leading initiatives like the DFG Research Unit SOS and bidt Consortium Project ROOT. His work emphasizes real-time systems, benchmarking, and interdisciplinary applications in earth observation and healthcare. Education: Not explicitly listed in provided text. Research Interests: Software Engineering, Performance Engineering, Autonomic Computing, Cloud Computing, Cybersecurity, Machine Learning, High-Performance Computing. His recent articles explore topics like homomorphic encryption, time series forecasting, and AI in healthcare. He is an editorial board member of journals like Elsevier's Performance Evaluation and co-founder of the ICPE and ACSOS conferences. Awards and recognitions are listed on separate pages, but his leadership roles and extensive conference involvement highlight his academic impact.
Dr. Daniel Brettschneider is a researcher at the Osnabrück University of Applied Sciences , affiliated with the School of Engineering and Computer Science and the Laboratory for High Frequency Technology and Mobile Communications . His work focuses on distributed systems for smart grids and energy management. Research Interests: Smart Grids and Distributed Energy Management Privacy Preservation in Energy Systems Context-sensitive Services and Mobile Applications Communication Requirements for Distributed Algorithms Cluster-based Energy Optimization Integration of Power, Heat, and Communication Networks Article Trends: His publications (2011-2016) emphasize smart grid algorithms, privacy-preserving protocols, context-aware mobile systems, and simulator development for multi-domain energy networks. Keywords include distributed computing, homomorphic encryption, and cooperative energy systems.
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.
Daniele Micciancio is a Professor in the Computer Science & Engineering Department at the University of California, San Diego, where he has been faculty since 1999. He is a member of both the Cryptography and Security group and the Theory of Computation group within the Jacobs School of Engineering. His academic journey began with a PhD in computer science from the Massachusetts Institute of Technology in 1998. PhD in Computer Science, Massachusetts Institute of Technology (1998) Micciancio's research focuses on the intersection of theoretical computer science and cryptography, with particular emphasis on lattice-based cryptographic systems. His work spans lattice algorithms, complexity of lattice problems, symbolic analysis of cryptographic protocols, and various cryptographic primitives including zero-knowledge proofs. His research has significantly advanced the field of post-quantum cryptography, particularly in developing cryptographic systems based on the hardness of lattice problems that could withstand attacks from quantum computers. His recent publications demonstrate a continued focus on homomorphic encryption, lattice-based cryptography, and secure computation protocols. The trend shows increasing practical applications of his theoretical work, with publications addressing real-world implementation challenges in privacy-preserving computation, medical data analysis, and genomic research. Matchey Award (FOCS 1998) Sprowls Award (MIT EECS, 1999) CAREER Award (NSF, 2001) Hellman Fellowship (2001) Sloan Fellowship (2003) 20-years Test of Time Awards (FOCS 2022, FOCS 2024) Fellow of the IACR (1999) Professor Micciancio has advised numerous graduate students who have gone on to successful careers in academia and industry, including prominent researchers in lattice-based cryptography. His professional activities include serving on editorial boards for prestigious journals including SIAM Journal on Computing, Journal of Cryptology, and Information and Computation. He has also been heavily involved in conference organization, serving as program chair for TCC 2010, CRYPTO 2019, and CRYPTO 2020, and as general chair for TCC 2014. As a member of both the Cryptography and Security group and the Theory of Computation group at UCSD, Micciancio contributes to a vibrant research environment focused on foundational aspects of computer security and theoretical computer science. His work continues to influence both theoretical developments and practical implementations of cryptographic systems, particularly as the field prepares for the post-quantum era.
