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Yiorgos Makris is a Professor in the Department of Electrical and Computer Engineering at the Erik Jonsson School of Engineering & Computer Science, The University of Texas at Dallas, since July 2011. Previously, he was a faculty member at Yale University for over a decade. He holds a Ph.D. in Computer Engineering from the University of California, San Diego, and a Diploma in Computer Engineering from the University of Patras, Greece. Education: Ph.D. in Computer Engineering, University of California, San Diego (2001) M.S. in Computer Engineering, University of California, San Diego (1997) Diploma in Computer Engineering and Informatics, University of Patras, Greece (1995) Research Interests: Hardware Security and Trustworthiness Statistical Side-Channel Fingerprinting Machine Learning in Semiconductor Manufacturing Trusted and Reliable Integrated Circuits Hardware Trojans in Wireless Cryptographic ICs On-Die Learning and Emergent Technologies His work focuses on enhancing hardware security through statistical methods, machine learning, and formal verification, with applications in analog/RF ICs, post-production calibration, and secure IC design. Key Contributions: Co-Founder and Site-PI of NSF CHEST I/UCRC (Hardware and Embedded System Security and Trust) Leader of the Safety, Security, and Healthcare Thrust at TxACE (Texas Analog Center of Excellence) Director of the Trusted and RELiable Architectures (TRELA) Lab Grants and Funding: NSF, NIH, SRC, ARO, AFRL, AFWERX, DARPA, DOE, and industry partnerships with Boeing, Northrop Grumman, IBM, Intel, Qualcomm, etc. Recent grants include projects on DNA storage security, analog neural networks, and malicious hardware detection. Awards and Recognition: IEEE Fellow (2025) Best Paper Awards at DATE'13, VTS'15, DCAS'22 Best Hardware Demonstration Awards at HOST'16 and HOST'18 Erik Jonsson School Faculty Research Award (2020) Labs and Teams: TRELA Lab (Focus: Secure Hardware Design, Trusted Architectures) CHEST I/UCRC (Industry-University Collaboration)

• Hardware Security
• Trusted Systems
• Machine Learning in Semiconductor Manufacturing
• +9 more

Urs Hengartner is an Associate Professor at the Department of Computer Science, University of Waterloo. His research focuses on information privacy, computer and network security with emphasis on smartphones, IoT, and machine learning-based authentication systems. He holds a Ph.D. (2005) and M.Sc. (2003) from Carnegie Mellon University, and a Diploma from ETH Zürich (1997). His work spans Adaptive security attacks on ML systems Implicit user authentication frameworks Privacy-preserving technologies for location and genomic data Secure authentication systems resilient to voice/spoofing attacks Recent publication trends show a strong focus on adversarial attack detection (e.g., watermarking evasion, diffusion model attacks) and context-aware authentication systems . His frameworks like MRAAC and SHRIMPS address multi-stage authentication challenges in mobile ecosystems. Key contributions include frameworks for evaluating multi-user authentication systems (SHRIMPS), risk-aware access control (MRAAC), and novel defense strategies against collaborative robot traffic fingerprinting. His work bridges security mechanisms with user-centric design principles.

• Information Privacy
• Computer Security
• Network Security
• +3 more

Igor Aleksandrovich Syrytsin serves as a Lecturer at the Department of Electronic Systems within The Technical Faculty of IT and Design at Aalborg University. His research focuses on antenna engineering for next-generation wireless systems, particularly millimeter-wave technologies for 5G/6G mobile communications. His research interests center on Antenna Engineering (100% fingerprint match), Mobile Terminal Engineering (83%), and Antenna Arrays (62%), with significant contributions to phased array systems, mmWave propagation, and user interaction effects. His work bridges theoretical antenna design with practical implementation challenges in smartphones and base stations. Publication trends reveal intense focus on millimeter-wave antenna systems (2017-2025), with recent breakthroughs in transparent metasurfaces (2025) and user-effect mitigation (2024). His research consistently addresses real-world deployment challenges in 5G/6G systems, particularly signal blockage from human interaction and environmental factors. Syrytsin actively collaborates within Aalborg University's wireless research ecosystem, contributing to projects like the CLEAR: Cybersecurity Learning, Education and Research Network (2024). His funding portfolio includes educational initiatives focused on cybersecurity pedagogy and wireless technology development. He maintains active industry and academic collaborations across Europe, with recent co-authorship spanning Denmark, China, and Iceland. His lab work centers on antenna measurement and simulation for mobile terminal applications, utilizing advanced RF characterization facilities at Aalborg University's Copenhagen campus.

• Antenna Engineering
• Mobile Terminal Engineering
• Antenna Arrays
• +4 more

Nicolas Christin is a Professor and Department Head in the Software and Societal Systems Department at Carnegie Mellon University’s School of Computer Science. He holds joint appointments in the Department of Engineering & Public Policy and is a core faculty member at CyLab, CMU’s university-wide security and privacy institute, with additional courtesy affiliations in Electrical and Computer Engineering. Christin earned a Diplôme d'Ingénieur from École Centrale Lille (1999), followed by an M.S. (2000) and Ph.D. (2003) in Computer Science from the University of Virginia. He was a postdoctoral fellow at UC Berkeley’s School of Information (2003–2005) before joining CMU in 2005. He served in various roles including Associate Director of the Information Networking Institute (2008–2013), research faculty in ECE and S3D, and tenured Associate Professor (2019–2022) before becoming a full Professor and Department Head. His research spans cybersecurity, privacy, and societal computing, with a strong emphasis on empirical measurement and interdisciplinary approaches. Key areas include security analytics, blockchain and cryptocurrency systems, online crime modeling, censorship measurement, usable privacy and security, and security economics. His work combines systems, networking, economics, and human behavior to understand and improve real-world security outcomes. The recent publications reflect a consistent focus on blockchain security (e.g., address poisoning, amplification attacks), censorship measurement (Great Firewall, probe generation), and human behavior in security (teen crypto users, copy-trading, statistical misuse in research). His group frequently publishes at top venues including USENIX Security, CCS, PETS, WWW, and CHI, often with empirical, data-driven methodologies. 2017 CSIS Fellow 2019 Carnegie IT Dean Early Career Fellow 2020 Allen Newell Award for Research Excellence 2023 IEEE S&P Test-of-Time Award Best Paper Awards at CHI 2017 and USENIX Security 2016 Best Student Paper at USENIX Security 2014 2024 Best Portuguese Internet Research Award Christin advises a vibrant research group of Ph.D. students and has mentored numerous graduates who now hold positions at Meta, AWS, NIST, Palo Alto Networks, and academia. He co-directs the Secure Blockchain Initiative and has directed the Societal Computing Ph.D. program. His research is supported by the NSF, DHS, Google, Ripple, CMU Portugal, and other public and private entities. He has served on program committees for top security conferences and testified before the U.S. Congress on data monetization and illicit finance.

• Computer and Information Systems Security
• Cybersecurity
• Privacy Engineering
• +12 more

Reham Mohamed Aburas is an Assistant Professor in the Department of Computer Science and Engineering at the American University of Sharjah (AUS) in Sharjah, UAE. Her academic career spans research and teaching in mobile computing security, with a focus on advancing secure and privacy-preserving technologies for modern devices across multiple platforms including smartphones and emerging virtual reality systems. Dr. Aburas earned her Ph.D. in Computer Science from Purdue University, where she worked with Professor Z. Berkay Celik at the PurSec Lab. Prior to that, she completed both her B.Sc. and M.Sc. degrees in Computer and Systems Engineering from Alexandria University in Egypt, establishing her technical foundation in systems engineering. Her primary research centers on the advancement of security, privacy, and usability of mobile computing technologies. In today's world, where modern devices are ubiquitous and technology is deeply integrated into various aspects of daily life, Dr. Aburas focuses on developing advanced systems that enrich user experiences while preserving security and privacy. Her work spans multiple domains including: Mobile security and privacy vulnerabilities Virtual and augmented reality security Biometric authentication systems User-centered security design Location privacy in mixed reality environments Arabic natural language processing Dr. Aburas's publication record demonstrates a strong trajectory from foundational work in mobile computing and indoor localization to cutting-edge research in virtual reality and mixed reality security. Her recent work (2023-2025) has focused on emerging threats in WebXR and VR environments, including UI attacks, speech extraction from sensors, and semantic location inference. She has published in top security venues including USENIX Security Symposium and NDSS, indicating the high impact and relevance of her research in the security community. Her earlier work (2014-2020) established expertise in mobile security, biometric authentication, and Arabic language processing through the Al-Bayan project. As an educator, Dr. Aburas has served as a course instructor at AUS, teaching subjects including COE 59412: Usable Security and Privacy and CMP 340: Design and Analysis of Algorithms. She has also served as a Teaching Assistant at Purdue University for courses including Great Issues in Computer Science, Data Mining, and Data Engineering in Python. At Alexandria University, she taught Probability Theory, Statistics, Data Mining, and Data Structures, demonstrating expertise across both theoretical computer science and practical security applications. Her research appears to be conducted in collaboration with the PurSec Lab at Purdue University, where she completed her Ph.D. Her work shows strong interdisciplinary connections between computer science, human-computer interaction, and security engineering, with particular attention to the practical usability aspects of security systems.

• mobile computing
• security and privacy
• virtual reality security
• +4 more

Michael Pehl is an Associate Professor at the Chair of Security in Information Technology at Technische Universität München (TUM), where he leads the Hardware-Intrinsic Security research group. His work focuses on Physical Unclonable Functions (PUFs), side-channel analysis, and secure hardware design. His primary research interests include Physical Unclonable Functions, Hardware Security, Side-Channel Analysis, Fault Injection Attacks, Post-Quantum Cryptography, Secure Hardware Design, and Trusted Electronics. Pehl has developed significant expertise in PUF security mechanisms, with particular emphasis on countermeasures against side-channel attacks and entropy optimization in security primitives. His recent publications demonstrate strong trends in hardware security, particularly in PUF architectures (oscillator-based, resistor-based, memristor-based), side-channel countermeasures, and entropy analysis. The research spans both theoretical foundations and practical implementations for secure embedded systems. Kurt-Fischer Prize (2013) Outstanding Reviewer Award at ICASSP 2022 Outstanding Reviewer Award at DATE 2024 Pehl has secured substantial research funding through multiple high-profile projects including STAMPS-PLUS (DFG), Edu4Chip (EU), APRIORI (BMBF), and VE-FIDES (BMBF). He serves as an Associated Editor for IEEE Transactions on Information Forensics & Security and has held leadership roles in major conferences including Program Co-Chair of COSADE 2023. His research group actively collaborates with industry partners and contributes to TUM's Center of Competence for Design of Electronic Circuits and Systems (DECS). Pehl's laboratory focuses on Hardware-Intrinsic Security research, with specialized facilities for PUF evaluation, side-channel analysis, and fault injection testing. The team develops innovative security primitives for embedded systems and IoT devices, with particular emphasis on post-quantum security solutions.

• Physical Unclonable Functions
• Hardware Security
• Side-Channel Analysis
• +5 more

Olivier Rioul is a Professor at Télécom Paris, part of Institut Polytechnique de Paris, where he leads the Mathematics of Information and Communications (MIC) research team within the Information Processing and Communication Laboratory (LTCI) in the Department of Communications and Electronics (Comelec). His research focuses on fundamental limits in communication networks and developing methods to overcome them. Research Interests: Rioul's work spans information theory, cryptography, side-channel security, signal processing, and human-computer interaction. Key areas include entropy analysis, side-channel attack methodologies, information-theoretic models for human movement (e.g., FITTS' law), and coding theory for secure systems. Publication Trends: His recent articles (2018-2025) demonstrate strong interdisciplinary integration, with theoretical foundations in information inequalities and entropy measures applied to practical domains like cryptographic hardware security and human-performance modeling. Approximately 70% of recent works involve side-channel analysis or information-theoretic security, while 30% focus on human-computer interaction and mathematical foundations. Laboratory Leadership: He directs the MIC team specializing in mathematical frameworks for communication security and information processing. The group collaborates extensively with cybersecurity experts to translate theoretical advances into practical hardware protections.

• Information Theory
• Cryptography
• Side-Channel Security
• +4 more

Neil Hurley is an Associate Professor and Head of School in the School of Computer Science at University College Dublin. He holds a BSc and MSc from University College Dublin and a PhD from Trinity College Dublin. Before academia, he worked at the Hitachi Dublin Laboratory from 1989 to 1999, leading research in parallel computing and knowledge-based systems. He joined UCD in 1999 and founded the Information Hiding Laboratory in 2001, focusing on digital content security. His research spans recommender systems, social network analysis, high-performance computing, and data hiding technologies. He has secured over €1 million in research funding from agencies like Enterprise Ireland and the EU. His teaching includes coordinating modules on Artificial Intelligence, Recommender Systems, and Computational Science. He has reviewed for journals such as IEEE Transactions on Image Processing and serves on the EMPS Graduate School Board. His recent work emphasizes scalable recommendation algorithms, privacy-preserving distributed systems, and strategic network analysis.

• Data Analytics
• Social Network Analysis
• Recommender Systems
• +4 more

Professor Georgios Makris is a faculty member in the Department of Electrical and Computer Engineering at the Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas. He leads the Trusted and RELiable Architectures (TRELA) Research Laboratory, the Safety, Security and Healthcare Thrust of the Texas Analog Center of Excellence (TxACE), and the UT Dallas site of the NSF CHEST I/UCRC. Previously, he was a faculty member at Yale University for over a decade. Education : Dipl. Eng. (1995) from University of Patras, M.S. (1998) and Ph.D. (2001) from UC San Diego. Research Interests His research spans hardware security, machine learning applications in IC design, analog/RF circuit testing, counterfeit IC detection, and statistical analysis. Current work includes statistical side-channel fingerprinting, hardware Trojans in wireless cryptographic ICs, on-die learning architectures, and security in synthetic biology. Recent article trends focus on hardware security (8/15), machine learning applications (7/15), and analog/RF test/reliability (6/15), with subfields including side-channel analysis, statistical modeling, and emerging technologies. Scientific Awards Elevated to IEEE Fellow (2025) Sheffield Distinguished Teaching Award (2006) Best Paper Awards: DATE’13, VTS’15, DCAS’22 Best Hardware Demonstration Awards: HOST’16, HOST’18 Erik Jonsson School Faculty Research Award (2020) His research has been supported by NSF, ARO, AFRL, DARPA, and industry partners. He has advised Ph.D. students whose work received the David Daniel Thesis Award (2021).

• Hardware Security and Trustworthiness
• Machine Learning Applications in Integrated Circuit Design
• Analog and RF Circuit Testing
• +3 more

Thomas Eisenbarth is an Affiliate Associate Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI), with a collaborative appointment in the Department of Computer Science. Since August 2017, he has also served as a Professor at the Institute for IT Security, University of Lübeck, Germany. His research spans applied cryptology, embedded systems security, side-channel analysis, and cloud security. Ph.D. in ECE, Ruhr University Bochum, Germany Former researcher at Center for Cryptology and Information Security (CCIS), Florida Atlantic University Member of Horst Görtz Institute for IT Security (HGI) during doctoral studies His research focuses on applied cryptology , secure computer architecture , side-channel and physical attacks , and cloud and virtualization security . He leads research efforts in identifying and mitigating microarchitectural vulnerabilities, particularly in cryptographic implementations. His work is closely tied to the Vernam Group at WPI. The most recent publications highlight trends in cache-based side-channel attacks , particularly in cloud and trusted execution environments (e.g., SGX). His research demonstrates practical attacks on cryptographic implementations, including false dependency exploits and cross-VM leakage, while also proposing countermeasures like CacheShield and MASCAT. The recurring themes include microarchitectural vulnerabilities , hardware-software interaction risks , and privacy threats in virtualized environments . Scientific contributions and recognitions include: Best Paper Award, CHES 2008 Editor, Springer’s Journal of Cryptographic Engineering Guest Editor, IEEE Embedded Systems Letters Special Issue on Embedded System Security General Co-Chair: CARDIS 2020, CARDIS 2021, CHES 2013 TPC Co-chair: CARDIS 2017, SPACE 2017, LightSEC 2014, WESS 2013 PC Member: USENIX Security, IEEE S&P, CRYPTO, EuroCRYPT, and others Thomas Eisenbarth has advised and collaborated with numerous researchers and students, many of whom are co-authors on his publications. His service includes extensive editorial and conference leadership roles. He has not received major grants explicitly mentioned in the text, but his sustained publication record and leadership suggest active funding. He is involved in promoting research exchanges with Europe, particularly Germany, through DAAD, DFG, and Fulbright programs. His research lab, the Vernam Group , focuses on practical side-channel analysis, secure hardware design, and cryptographic implementations. The team works on both offensive techniques (e.g., cache attacks) and defensive mechanisms (e.g., masking, threshold implementations). They utilize FPGA platforms, cloud environments, and embedded systems to evaluate real-world security.

• Applied Cryptology
• Embedded systems security
• Secure computer architecture
• +7 more

Riccardo Focardi is a Full Professor at Ca' Foscari University of Venice in the Department of Environmental Sciences, Computer Science and Statistics. He has held this position since September 2017, following roles as Associate Professor (2013–2017) and Researcher (1996–2002). He is also co-founder and Chief Scientist of Cryptosense and 10Sec, startups focused on cybersecurity and IoT security solutions. Education: PhD in Computer Science from the University of Bologna (1999), Laurea cum laude in Computer Science (1993). Research focuses on cybersecurity, cryptography, formal methods for security protocol analysis, and secure hardware/software systems. Notable projects include the Cryptosense Analyzer tool for cryptographic device analysis and contributions to IoT security via 10Sec's fingerprinting technologies. His work on PKCS#11 vulnerabilities and padding oracle attacks has significantly impacted practical cryptographic security. Publications emphasize applied cryptography, API security, and IoT systems. Recent work explores GAN-based authentication (EUAS-GAN) and zero-shot malware detection (Z-MDZS). Over 110 publications span top venues like CRYPTO, CCS, and IEEE S&P. Leadership roles include coordinating national cybersecurity projects (e.g., POR FESR 2017–2020), chairing conferences (ITASEC 2017, CSF 2007), and directing Ca' Foscari's Computer Science PhD program (2012–2019). Active in public engagement, including media appearances on cybersecurity trends. Labs/Teams: Cryptosense (founded 2013), 10Sec (2020), and the DAIS department's security research group. Supervised over 10 PhD students, contributing to academic-industry collaborations in secure systems.

• Cybersecurity
• Cryptography
• Security APIs
• +4 more