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Lucjan HanzlikView profile

Professor

• Applied Cryptography
• Privacy-Preserving Cryptography
• Public Key Cryptography
• +4 more

Dr. Lucjan Hanzlik is a Professor at the CISPA Helmholtz Center for Information Security, where he leads research in applied cryptography. Prior to his current position since 2020, he served as a Visiting Assistant Professor at Stanford University (2018-2020) and as a Research Group Leader at CISPA (2017-2020). Dr. Hanzlik earned his Ph.D. in Computer Science from the Institute for Computer Science Polish Academy of Sciences in Warsaw in January 2016, completing his dissertation titled "Cryptographic Protocols for Modern Identification Documents" under the supervision of Prof. Mirosław Kutyłowski. His doctoral work focused on cryptographic solutions for identification systems, particularly for embedded devices like smart cards. Dr. Hanzlik's research centers on applied cryptography with particular emphasis on privacy-preserving protocols and cryptographic solutions for constrained environments. His work bridges theoretical foundations with practical implementations, focusing on real-world security challenges. Key areas include blind signatures, anonymous credentials, secure authentication protocols, and cryptographic solutions for blockchain and cryptocurrency systems. He has made significant contributions to the understanding and development of privacy-enhancing technologies that maintain security while preserving user anonymity. His extensive publication record demonstrates a consistent focus on advancing cryptographic techniques for practical applications. Recent work shows increasing attention to blockchain security, privacy-preserving authentication systems, and post-quantum cryptographic solutions. His research often addresses the tension between security, privacy, and usability in modern authentication systems. Dr. Hanzlik has received notable recognition for his work, including: IBM Great Minds Award (2014) As an academic advisor, Dr. Hanzlik currently supervises several doctoral students including Khue Do, Wei-Zhu Yeoh, and Eugenio Paracucchi. His research has been supported by various funding mechanisms including the DAAD Joint Australia–Germany Research Co-operation Scheme for "Secure Online Authentication with Attributes" and the DFG-NCN Weave project on "Identity Wallet in a Hostile Environment: Privacy and Trust By-Design." Dr. Hanzlik is an active member of the cryptographic research community, serving on program committees for major conferences including CRYPTO, EUROCRYPT, ACM CCS, and FC. He leads the Applied Cryptography research group at CISPA, which focuses on developing practical cryptographic solutions for real-world security challenges.

Guillaume DucView profile

Associate Professor

• Embedded Systems Security
• Hardware/Software Interaction
• Side-Channel Attacks
• +3 more

Guillaume Duc is an Associate Professor (Maître de Conférences) at Télécom Paris , affiliated with the Information Processing and Communication Laboratory (LTCI) and the Department of Computer Science and Networks . His research focuses on embedded systems security, particularly hardware/software interaction, side-channel attacks, and resilient architectures. Education: PhD in Hardware, Software and Cryptographic Support for Secure Process Execution , École Nationale Supérieure des Télécommunications de Bretagne (2007) Master's (DEA) in CryptoPage – an architecture to run secure processes , Université de Rennes 1 (2004) Research Interests: His work spans embedded systems security , with a focus on: Hardware/Software Interaction: Exploring vulnerabilities and defenses at the intersection of hardware and software. Side-Channel Attacks: Investigating power analysis, electromagnetic attacks, and countermeasures, including organizing the DPA Contest . Resilient Architectures: Designing secure memory architectures, FPGA-based protections, and cloud-embedded system trustworthiness. Publications & Patents: He has published extensively in top-tier venues such as Journal of Cryptographic Engineering , ACSAC , and CARDIS , with recent works addressing AI-driven automotive security (2024) and system cost-optimization for security (2019). He holds multiple patents in non-intrusive fault detection and secure electronic component monitoring. Teaching & Leadership: Academic lead for the engineering program at Télécom Paris. Responsible for courses like INF107: From Logic Gates to Operating Systems and SE203: Microprocessor System Tools . Co-instructor for Rust programming modules in executive education. Labs & Teams: He leads research within the Autonomous Critical Embedded Systems (ACES) team at LTCI, collaborating on secure embedded systems for automotive and cloud applications.

Andrew BoutrosView profile

Assistant Professor

• Reconfigurable Computing
• Field-Programmable Gate Array (FPGA) Architecture
• Computer-Aided Design (CAD) Tools
• +4 more

Andrew Boutros is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on reconfigurable computing architectures, FPGA design, and domain-specific acceleration for deep learning and datacenter workloads. He holds a PhD from the University of Toronto (2024) and has worked at Intel Labs and MangoBoost. Education: PhD, Electrical and Computer Engineering, University of Toronto, Canada (2024) MASc, Electrical and Computer Engineering, University of Toronto, Canada (2018) BSc, Electronics Engineering, German University in Cairo, Egypt (2016) Research Interests: Developing efficient FPGA architectures and CAD tools for reconfigurable hardware, domain-specific acceleration, and application/hardware co-design. Specific areas include 3D-stacked acceleration devices, graph neural network acceleration, and FPGA-based smart NICs for AI training. Publications: Over 30 papers in top venues like IEEE FPL, FCCM, and FPGA conferences, with 4 best paper awards. Recent work includes 3D-stacked architectures, graph neural network inference, and FPGA optimization for deep learning. Awards: Best Paper Award (FPT 2023) Best Paper Award (ICM 2021) Stamatis Vassiliadis Best Paper Award (FPL 2018) Advising/Grants: Currently accepting graduate students. Collaborations include 84 co-authors and industry partnerships with Intel and MangoBoost.

Hisham Al AssamView profile

Associate Professor

• Machine Learning
• Cyber Security
• Medical Imaging
• +3 more

Dr. Hisham Al Assam is a Reader in Computer Science at the University of Buckingham's School of Computing, serving as Programme Director for MSc Innovative Computing and MSc Applied Computing, and Research Lead of the School. He leads the Cyber Security Stream and teaches modules like Ethical Hacking, Digital Forensics, and Web Technologies. His research focuses on machine learning applications in cyber security (e.g., biometric recognition, encryption, cyber defense) and healthcare (e.g., medical image analysis for diseases like Alzheimer's and ovarian tumors). He has supervised numerous student projects across undergraduate and postgraduate levels and secured two KTP grants for biometric-based innovations. He is a member of the British Computer Society and contributes to university governance via Senate and Research committees. Research Interests: - Machine Learning in Cyber Security: developing algorithms for intrusion detection, encryption, and privacy-aware authentication. - Healthcare Informatics: automated analysis of medical images (X-rays, ultrasounds, microscopy) for disease diagnosis, including ovarian tumors, Alzheimer's, and atrial fibrillation. - Biometric Systems: designing secure authentication protocols using dynamic features and cloud integration. Grants & Collaboration: - Two KTP grants with Innovate UK and Deepnet Security for biometric product development. - Collaborative projects with institutions like University College London Hospitals and King's College London on medical image analysis. Labs & Teams: - Leads the Cyber Security Research Group at the School of Computing. - Co-leads interdisciplinary projects with medical researchers on AI-driven diagnostic tools.

Sachin ShettyView profile

Professor

• Computer Networking
• Network Security
• Machine Learning
• +7 more

Sachin Shetty is a Professor and Executive Director of the Center for Secure and Intelligent Critical Systems at Old Dominion University. His research spans computer networking , network security , and machine learning , with a focus on blockchain and IoT security. He has led large-scale projects funded by the National Science Foundation , Air Force Research Lab , and Boeing . Education : Ph.D. in Modeling and Simulation (Old Dominion University, 2007), M.S. in Computer Science (University of Toledo, 2002), B.S. in Computer Engineering (Mumbai University, 1998) His research interests include Blockchain for secure data provenance Cyber risk management frameworks 5G and IoT security architectures Cyber deception and game theory His recent articles focus on blockchain integration with cloud computing, cyber-resilient IoT systems, and AI-driven security protocols. Scientific awards include: Commonwealth Cyber Initiative Fellow EPRI Cybersecurity Challenge winner DHS Scientific Leadership Award Fulbright Specialist IEEE Senior Member He supervises students and postdoctoral researchers in his cybersecurity lab, which has secured over $18 million in grants.

Ansuman BhattacharyaView profile

Assistant Professor

• Networks
• Network Security
• Next Generation Networks
• +5 more

Ansuman Bhattacharya serves as an Assistant Professor in the Department of Computer Science at Southern Illinois University's College of Engineering, where he directs the Advanced Networking and Network Security (ANNS) Laboratory. His research spans multiple critical areas of modern networking and security with a focus on next-generation communication systems. Dr. Bhattacharya holds a Ph.D. in Radio Physics and Electronics from the University of Calcutta, establishing a strong foundation for his work in advanced networking technologies. His educational background bridges physics and computer science, providing unique insights into network communication challenges. His research interests center around Networks and Network Security with particular emphasis on Next Generation Networks, Internet-of-Things, Cognitive Radio Networks, Software Defined Networks, Green Communication, and Wireless Network Security. This diverse portfolio addresses critical challenges in modern communication systems, from energy efficiency to security protocols for emerging technologies. His work often combines theoretical frameworks with practical implementations, as evidenced by numerous publications in top-tier journals and conferences. Dr. Bhattacharya's research output demonstrates a clear progression toward increasingly sophisticated security protocols for IoT and wireless systems, with recent work focusing on zero-trust architectures, distributed authentication systems, and AI-enhanced security frameworks. His publications span prestigious venues including IEEE Transactions, Elsevier journals, and major international conferences. Best Paper Award at International Symposium on Intelligent Robotics and Industrial Automation (IRIA-2021) for 'Secure Communication System Implementation for Robot-Based Surveillance Applications' 3rd Best Paper Award at International Conference on Recent Trends in Information Technology (IEEE ICRTIT) for 'Image Stenography using Advanced Encryption Standard for implantation of Audio/Video Data' As Director of the ANNS Lab, Dr. Bhattacharya mentors numerous Ph.D., MS, and undergraduate students while securing research funding from agencies including Technology Innovation in Exploration & Mining Foundation (TEXMiN) and IMPRINT-II, Science & Engineering Research Board (SERB), DST, Govt. of India. His lab benefits from state-of-the-art computing resources including high-performance workstations with NVIDIA RTX A6000 and RTX 4090 graphics cards, providing students with cutting-edge tools for network simulation and security research. The lab actively pursues research projects in sensor-based dust suppression systems and robotic surveillance technologies, demonstrating practical applications of theoretical networking concepts.

• Embedded Systems Security
• Side-Channel Attacks
• Secure Architectures
• +3 more

Guillaume Duc is an Associate Professor (Maître de Conférences) at Télécom Paris, affiliated with the Laboratoire Traitement et Communication de l'Information (LTCI) and the Systèmes Embarqués Critiques Autonomes team within the Computer Science and Networks Department. His expertise lies in embedded systems security, side-channel attacks, and secure architectures. Research Interests: His work spans embedded systems security , focusing on securing communication buses and memory architectures against espionage. He explores hardware support for software security , side-channel attacks (notably through the DPA Contest ), and secure memory encryption techniques. His research also delves into integrity checking , fault detection , and distributed security for multiprocessor systems. Publications & Patents: He has published extensively in top-tier journals and conferences, including Journal of Cryptographic Engineering , ACSAC , and CARDIS . His work covers topics like AES side-channel attacks, secure memory architectures, and Java Card vulnerabilities. He also holds multiple patents in secure memory allocation and electronic equipment monitoring. Teaching & Supervision: He leads several courses at Télécom Paris, including INF107: From Logic Gates to Operating Systems and SE203: Tools, Languages, and Practices for Microprocessor Systems . He is also involved in advanced Rust programming modules and has supervised PhD students. Labs & Teams: He is a key member of the Systèmes Embarqués Critiques Autonomes team at LTCI, contributing to cutting-edge research in secure and autonomous embedded systems.

• Cryptography
• Secure Computation
• Privacy-Preserving Machine Learning
• +3 more

Hiraku Morita serves as a Research Fellow in the Department of Computer Science at the University of Copenhagen, actively contributing to the Machine Learning research group. His work bridges theoretical cryptography with practical secure computation applications, focusing on protocol efficiency and privacy preservation in data analysis. His research interests prominently feature Cryptography , Secure Multi-Party Computation , and Privacy-Preserving Machine Learning , with specialized expertise in card-based cryptographic systems and secret-sharing methodologies. He investigates foundational protocols for secure data processing while optimizing computational rounds and resource constraints in privacy-sensitive environments. Recent publications reveal a distinct trajectory toward practical cryptographic implementations for machine learning tasks, particularly in developing constant-round evaluation techniques for decision trees and novel card-based gate protocols. These contributions address critical challenges in balancing security guarantees with computational feasibility in distributed settings. As a core member of the University of Copenhagen's Machine Learning research group, Dr. Morita collaborates extensively with international researchers including Takaaki Mizuki, Koji Tozawa, and A. Mitrokotsa, advancing the field through both theoretical innovations and applied cryptographic solutions.

Di MaView profile

Associate Professor

• Cybersecurity
• Privacy
• Applied Cryptography
• +6 more

Di Ma is Associate Professor and Associate Dean for Graduate Education and Research in the College of Engineering and Computer Science at the University of Michigan-Dearborn. She also serves as Director of the Cybersecurity Center for Education, Research, and Outreach (CCERO) and the Security and Forensics rEsearch (SAFE) Lab, actively leading institutional cybersecurity initiatives since CCERO's founding in 2016. Her educational background includes: Ph.D. in Computer Science, University of California-Irvine (2009) Master of Engineering, Nanyang Technological University Bachelor of Engineering, Xi-an Jiaotong University Dr. Ma's research centers on security, privacy, and applied cryptography with emphasis on connected/autonomous vehicle systems (ECUs, infotainment), smartphone security (malware prevention, acoustic channels), and RFID/sensor protection. She investigates demographic inference from Wi-Fi metadata and develops location-aware cryptographic protocols, focusing on real-world vulnerabilities in transportation and mobile ecosystems. Her work bridges theoretical cryptography with practical safety-critical systems. Analysis of her 15 most recent publications reveals sustained leadership in automotive cybersecurity since 2012, with increasing focus on vehicle privacy (2019-2020), secure firmware updates, and cross-domain cryptographic access control. Key trends include adapting smartphone security techniques to automotive use cases and pioneering ambient sensor-based defenses against relay attacks, consistently published in IEEE flagship journals. Her scientific recognition includes: Trevor O. Jones Outstanding Paper Award (SAE, 2019) CECS Faculty Excellence Award for Research (2017) Tan Kah Kee Young Inventor's Award (Silver Medal, 2004) NSF-TRUST Fellowship (2009) Graduate Dean’s Dissertation Fellowship (UC Irvine, 2009) Air Force Summer Faculty Fellowship (AFOSR, 2011) Dr. Ma has advised PhD students including Ahmad Nasser (2019) and Nevrus Kaja (2019). Her research is funded by major grants from NSF (DGE-1419280 as PI, 2014), NHTSA (2015, 2017), AFOSR (2011), Ford (2016), Intel, and Research in Motion. Notably, she co-led a $7M Department of Energy project (2020) protecting EV charging infrastructure. As SAFE Lab Director, she develops security frameworks for mobile/IoT systems while CCERO coordinates university-wide cybersecurity education and outreach. Her teams include Vertically Integrated Project (VIP) groups designing automotive intrusion detection systems, and she organized the inaugural Dearborn Cybersecurity Day (2019) with 130+ industry participants.

• Cybersecurity
• Network Security
• Internet of Things (IoT) Security
• +6 more

Pascal Berthome is a University Professor at INSA Centre Val de Loire. He serves as Deputy Director of the Laboratory (SDS) and is a Member of the Board. His research focuses on cybersecurity, formal verification, and privacy-preserving technologies in diverse domains such as smart cards, IoT, and cloud computing. Primary Affiliation: INSA Centre Val de Loire Research Affiliation: LIFO (Laboratoire d'Informatique Fondamentale d'Orléans) Research Interests: His work spans secure control-flow integrity in embedded systems, biometric authentication, federated learning for agriculture, and privacy in semantic networks. He also contributes to formal verification of smart card software and intrusion detection systems. Publication Trends: Over the past decade, Pascal has focused on security in heterogeneous systems , privacy-preserving algorithms , and formal methods for cyber-physical systems . Recurring themes include smart card vulnerabilities, federated IoT security, and cloud computing.

• Embedded Security
• Fault Attacks
• Physical Attack Countermeasures
• +4 more

Tim Music is a Researcher at the Chair of Security in Information Technology (Prof. Sigl) at the Technical University of Munich (TUM). He holds an M.Sc. degree and is based at Theresienstr. 90, 80333 Munich, Germany, with contact via tim.music@tum.de and office room 0101.Z1.010. His research spans embedded security systems, fault attack methodologies, countermeasures against physical attacks, physically unclonable functions (PUFs), authentication protocols, ASIC design, and cryptographic implementations. He actively develops security frameworks for hardware-software co-design with emphasis on practical attack resistance and side-channel analysis mitigation. Music leads the Smart Card Laboratory development, creating hands-on educational experiences where master students perform correlation power analysis and implement secure cryptographic systems. He supervises student research positions involving hardware assembly (smart cards, logic analyzers), PCB repair, firmware security enhancements, and automated evaluation tools using embedded C and Python.

Khuong An NguyenView profile

Senior Lecturer

• Machine Learning
• Mobile Computing
• Smart Healthcare
• +7 more

Khuong An Nguyen is a Senior Lecturer in Computer Science at the Department of Computer Science, Royal Holloway University. He holds a Ph.D. in Computer Science from the University of London, an M.Phil from the University of Cambridge, and a B.Sc (Hons) from the University of London. He is a Senior Fellow of Advance HE, Fellow of the Royal Institute of Navigation and Royal Statistical Society, and a member of the EPSRC peer review college. His research focuses on Machine Learning with applications in Mobile Computing and Smart Healthcare . Key subfields include WiFi fingerprinting , Bluetooth positioning , contact tracing , indoor navigation , and conformal prediction . He has over 15 publications spanning journals, conference contributions, and patents, with a recent emphasis on large language models and smart transport systems . Notable scientific awards include the Golden Globe Computer Science Award (2006) and recognition as The Most Outstanding Vietnamese Student in the UK (2014). He has secured over £612,000 in research grants as Principal Investigator, including projects with Innovate UK and the Department for Transport . His supervised students include 9 Ph.D. advisees, with completions like Ajibola Obayemi and Xu (Sean) Feng . Collaborations with Prof. Zhiyuan Luo are a recurring theme in his research output.

• Digital Circuit Design
• Embedded Systems
• Microelectronics
• +3 more

Manuel Jesús Bellido Díaz is a Full Professor at the University of Seville's Department of Electronic Technology. His research focuses on digital circuit design, embedded systems, microelectronics, and FPGA implementations. He leads the 'Investigación y Desarrollo Digital' (Digital Research and Development) group and has been involved in numerous projects, including the SEPIC project on embedded systems for critical infrastructure and the USECHIP microelectronics chair. He has advised doctoral students such as Germán Cano (2022), David Guerrero (2012), and Alejandro Millán (2008). Education: Doctorate in Electronic Engineering (University of Seville). His research interests span power optimization, timing models, and hardware/software co-design. Recent projects include secure IoT boot mechanisms (IRIS), FPGA-based time synchronization cores, and energy-efficient CMOS gate implementations. He has authored over 100 publications, including books and journal articles on topics like trigonometric computation algorithms and embedded file systems. Grants and projects include funding from TSI-020100-2008, SOL2024-31823, and OTRI/08-FCIE13. His work also involves patents for trigonometric function calculators and FPGA-oriented file systems. Labs/Teams: Active in the Digital Technology Research Group, collaborating on hardware-oriented solutions for IoT and embedded systems.

• Microelectronics
• Embedded Systems
• IoT (Internet of Things)
• +4 more

Enrique Ostúa Arangüena is an Associate Professor in the Department of Electronic Technology at the University of Seville. He is part of the Digital Research and Development group and has been involved in numerous research projects focused on microelectronics, embedded systems, and FPGA-based solutions. His work includes contributions to IoT security, real-time systems, and hardware-oriented file systems. He has led or participated in projects such as USECHIP (Microelectronics Chair), Advanced Initiation Systems for IoT, and Hardware Vorbis CODEC development. His research spans digital circuit design, low-power electronics, and FPGA implementation, with emphasis on applications like time synchronization (SNTP), cryptographic hardware (E-LUKS), and embedded system optimization. He has authored chapters in books such as Grid Computing and Program of Teaching Teams for the Training of Novice Teachers , and has presented at conferences like the IBERCHIP Workshop and IEEE Symposium on Industrial Embedded Systems. Key contributions include patents on trigonometric function calculators and hardware security modules. He has collaborated extensively with researchers like David Guerrero Martos and Julián Viejo Cortés, focusing on methodologies for teaching digital electronics and FPGA-based SOC design. His work emphasizes open-source technologies, hardware-software co-design, and practical applications in industrial control systems.

• Cybersecurity
• Blockchain Technologies
• Distributed Systems
• +6 more

Lewis Golightly is a Lecturer in Cybersecurity and Blockchain Technologies at the Department of Computing & Games, Teesside University. He is affiliated with the School of Computing, Engineering and Digital Technologies and serves as a Marketing and Recruitment Champion for his department. His academic qualifications include a BSc in Cybersecurity and Networks (Teesside University, 2020), a Postgraduate Certificate in Learning and Teaching in Higher Education (PGCHE), and ongoing doctoral research in Cybersecurity and Distributed Systems. He previously taught at Middlesbrough College, focusing on curriculum development and computing education. His research interests span Access Control, Distributed Systems, Blockchain, and Machine Learning applications in cybersecurity. Notable contributions include work on ethical hacking tools, social media risks for children, and secure distributed systems. He has been recognized as a Fellow of the Higher Education Academy. His publications reflect a focus on cybersecurity challenges across domains such as phishing detection, IoT security, and cloud computing. Media engagements include discussions on data breaches and student experiences in cybersecurity programs. While no formal advisees are listed, his teaching and research activities emphasize curriculum innovation and practical cybersecurity education. Awards: Fellow of the Higher Education Academy Grants/Advising: Curriculum development projects and contributions to departmental recruitment strategies Labs/Teams: Active within the Department of Computing & Games' research groups