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Georgios MakrisView profile

Professor

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

Mostafizur RahmanView profile

Assistant Professor

• Cybersecurity
• Networking
• Artificial Intelligence
• +3 more

Dr. Mostafizur Rahman is an Assistant Professor of Computer Science at the University of West Georgia, affiliated with the School of Computing, Analytics, and Modeling within the Dr. Perry College of Mathematics, Computing, and Sciences. He holds a B.S. in Computer Science & Engineering from Bangladesh University of Engineering & Technology (2012), and an M.S. and Ph.D. in Computer Engineering from the University of Central Florida (2018 and 2020, respectively). His research focuses on cybersecurity, telecommunications, and networking, with particular emphasis on spectrum management, AI-driven cybersecurity solutions, and collaborative network architectures. Recent work includes studies on spectrum-sharing markets, UAV delivery networks, and decentralized decision-making frameworks. Rahman teaches courses such as Cybersecurity, Computer Forensics, Systems Programming, and Generative AI Networks & Security. He has consistently taught courses in computer security, networking, and internship programs since 2021, reflecting his expertise in both theoretical and applied computing domains. His publications span topics like settlement-free cellular peering, UAV network optimization, and game-theoretic approaches to spectrum sharing, showcasing contributions to both academic and industry-relevant challenges in telecommunications.

Craig A. ShueView profile

Professor

• Computer Security
• Cyber Security
• Network Security
• +7 more

Craig A. Shue is a Professor and Department Head of Computer Science at Worcester Polytechnic Institute (WPI). He holds affiliations with the Cyber Security department and leads initiatives such as the NSF Scholarship for Service and Department of Defense Cyber Scholarship Program. His expertise spans network security, applied system building, and empirical analysis of security tools. Shue’s research focuses on securing enterprise and residential networks using SDN, NFV, and system instrumentation. He has advised the WPI Cyber Security Club and the Collegiate Cyber Defense Competition Team. His work addresses vulnerabilities in multi-factor authentication, IoT device security, and zero-trust architectures. Education: BS (Ohio University, 2004), MS (Indiana University, 2006), PhD (Indiana University, 2009). Research Interests: Network security, software-defined networking, IoT device protection, edge computing, zero-trust models, and system-level security solutions. His recent projects include user-action linked network profiling, containerized attack mitigation, and smartphone-based traffic inspection. Media Contributions: Provided analysis on the July 2024 CrowdStrike outage for NPR and Boston Globe. His insights address cloud vulnerability, incident response, and cybersecurity provider reliance. Scientific Awards: 2017 NSF CAREER Award, 2016 NSF Transition to Practice Grant, 2014 DHS Young Faculty Award, and Best Paper Awards at IEEE Network of the Future (2022) and LCN (2020). Grants & Programs: Directs WPI’s NSF Scholarship for Service and DoD Cyber Scholarship Program. Active in curriculum design for cybersecurity education aligning with UN SDGs like Quality Education (SDG 4) and Gender Equality (SDG 5). Labs/Teams: Leads research on network profiling, SDN-based security, and IoT resilience. Collaborates with students on projects documented in Digital WPI and his personal website.

• Computer Security
• Machine Learning
• Hardware Design
• +6 more

Farinaz Koushanfar is a Professor at the University of California, San Diego (UCSD), with a former affiliation at the University of California, Berkeley. Her research focuses on advancing security, machine learning, and hardware design through interdisciplinary approaches. Key areas include adversarial defense mechanisms, cryptographic systems, federated learning, and zero-knowledge proofs. She has collaborated extensively with institutions and researchers globally, contributing to over 360 publications. Her work emphasizes practical security solutions, such as watermarking for intellectual property protection and methods to counteract adversarial attacks in neural networks. Recent trends in her publications highlight innovations in cache compression, robust watermarking for large language models, and securing wireless communication systems against modality-agnostic attacks. Collaborations with industry and academia underscore her commitment to real-world applications of theoretical advancements. Awards and grants are not explicitly listed here, but her prolific publication record and leadership in high-impact projects indicate significant recognition in her field. Advising and mentoring students and junior researchers are central to her academic contributions, though specific student names are not detailed in the provided text. Her lab’s work often intersects with emerging technologies like blockchain, edge computing, and privacy-preserving machine learning.

Matthew HicksView profile

Associate Professor

• Software Security
• Hardware Security
• Embedded System Security
• +5 more

Matthew Hicks is an Associate Professor in the Department of Computer Science at Virginia Tech, serving as the CACI Faculty Fellow in Cyber Security. His research focuses on software, hardware, and embedded system security, particularly in energy harvesting and IoT systems. He holds a Ph.D. from the University of Illinois Urbana-Champaign (2013), an M.S. from the same institution (2008), and a B.S. from the University of Central Florida (2006). His research interests emphasize hardware security mechanisms, defensive routing against malicious designs, and resilient computing in energy-constrained environments. Notable contributions include work on FPGA fingerprinting, compiler-assisted fuzzing, and intermittent computing paradigms. Recent publications explore countermeasures against hardware trojans, energy-efficient buffering, and secure checkpointing in batteryless systems. Dr. Hicks has no listed academic awards but maintains an active publication record in top-tier conferences. His work bridges theoretical computer science with practical hardware implementations, addressing vulnerabilities at both software and physical layers. While no student advisees or grants are explicitly mentioned, his research portfolio demonstrates sustained engagement with cutting-edge cybersecurity challenges.

Yukui LuoView profile

Assistant Professor

• Hardware-oriented Security
• FPGA Virtualization
• IoT Security
• +3 more

Yukui Luo is an Assistant Professor in the Department of Electrical and Computer Engineering at Binghamton University, SUNY. He earned his PhD in computer engineering (specializing in hardware-oriented security) from Northeastern University in 2023. His research focuses on advancing security in cloud and edge computing, with expertise in FPGA virtualization systems, IoT security, AI acceleration, and hardware accelerators. Education: Bachelor's: Shanghai University of Engineering Science Master's: Illinois Institute of Technology PhD: Northeastern University His research interests emphasize hardware trustworthiness, including FPGA-based virtualization, IoT security, AI acceleration defenses, and secure database systems. Recent work includes frameworks like TBNet for neural network protection in trusted environments and AdAPI for efficient private inference in edge computing. Notable contributions include publications at DAC 2024, ICCAD 2024, and IEEE conferences addressing FPGA vulnerabilities, privacy-preserving machine learning, and adversarial attack mitigation. He advises PhD students focusing on FPGA acceleration, hardware security, and machine learning. His lab explores cutting-edge solutions for secure computing in multi-tenant environments and edge devices. Dr. Luo actively recruits PhD students (starting Fall 2026) with strong technical backgrounds in computer architecture, FPGA design, cybersecurity, or related fields. He emphasizes rigorous application requirements, including academic records and critical engagement with his research papers.

Marcos KauffmanView profile

Professor

• Intellectual Property Strategies
• Digital Manufacturing
• Industry 4.0
• +7 more

Marcos Kauffman is a Professor and Director of the Institute for Advanced Manufacturing and Engineering (AME) at Coventry University. He leads the Research Centre for Manufacturing and Materials, focusing on innovation strategies, digital manufacturing, and intellectual property (IP) frameworks. With over 10 years in UK manufacturing industry roles, he specializes in cross-disciplinary R&D projects integrating technology and business models. Education: LLB Honours in Law, University of Buckingham PhD from Coventry University’s Centre for Business in Society Research Interests: Intellectual Property strategies in Industry 4.0 Augmented Reality (AR) applications in manufacturing Net Zero decarbonization for SMEs Digital Twin technology Horizontal integration in manufacturing ecosystems Key Projects (2021–2027): Clean Futures - West Midlands Innovation Accelerator (2023–2025) CLEAN: Clean Logistics for Emerging African Nations (2022–2024) Power Electronics Upscale for Localisation and Sustainable Electrification (2024–2027) Labs/Teams: Leading the AME’s cross-disciplinary research teams Collaborating with industry partners on digital twin and AR initiatives

Yunsi FeiView profile

Professor

• Hardware-oriented security
• Computer Architecture
• Embedded Systems
• +7 more

Yunsi Fei is a Professor in the Electrical and Computer Engineering Department at Northeastern University, serving concurrently as Associate Dean of Faculty Affairs. She leads the Northeastern site of the NSF IUCRC Center for Hardware and Embedded System Security and Trust (CHEST). Her research focuses on hardware-oriented security, computer architecture, embedded systems, and IoT security, with significant contributions to mitigating side-channel and fault attacks on neural networks and hardware systems. Fei holds a PhD in Electrical Engineering from Princeton University (2004), and bachelor’s and master’s degrees in Electronic Engineering from Tsinghua University. She joined Northeastern in 2011 after faculty roles at the University of Connecticut. Her research interests span secure computer architecture, energy-efficient embedded systems, and underwater sensor networks. Notable projects include RINGS (a NSF-funded IoT resilience initiative) and secure RISC-V processor design. She has received the NSF CAREER Award and multiple best paper awards at top conferences. Fei’s work integrates hardware-software co-design to address vulnerabilities in AI accelerators and cryptographic systems. She leads the Energy-Efficient and Secure Systems (ENESS) Lab and collaborates with industry and academia through CHEST. Recent grants include $1.5M for cybersecurity in additive manufacturing and $1M for spectrum-agile IoT systems. Her awards include a 2023 Distinguished Paper Award (AsiaCCS) and 2022 Best Paper (Great Lake VLSI). She mentors students like Ruyi Ding, who joined LSU as faculty in 2025. Fei also chairs sessions on hardware security and is an affiliated faculty member with Northeastern’s Institute of Information Assurance.

• Biomedical Engineering
• Electrical Engineering
• MEMS/NEMS Technology
• +5 more

Dr. Said Al-Sarawi is an Associate Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide, affiliated with the Centre for Biomedical Engineering (CBME) and The Centre for High Performance Integrated Technologies and Systems (CHiPTec). He holds a PhD in Electrical and Electronic Engineering (2003) and a Graduate Certificate in Education (2006). His research focuses on biomedical engineering, MEMS/NEMS technologies, neuromorphic systems, and secure hardware/software co-design. Dr. Al-Sarawi leads multiple research initiatives including advanced integrated circuits using Gallium Nitride, fall detection systems for elderly care, and memristor-based neuromorphic applications. He has secured funding from the Premier’s Research and Industry Fund (PRIF), ARC Discovery grants, and international collaborations. Current projects involve 24 PhD students and postdoctoral researchers across biomedical sensors, cybersecurity in AI, and space-based sensor systems. He has been recognized with the University Medal (2003) for postgraduate academic excellence and actively contributes to education committees within the university. His work spans interdisciplinary domains, bridging biomedical innovations with cutting-edge electronics and cybersecurity solutions.

• Computer Networking
• Telecommunications
• Internet of Things (IoT)
• +7 more

Thomas Heide Clausen is a Professor at École Polytechnique (France) and leads its computer networking research group. He holds the Cisco Endowed Chair in 'Internet of Everything' and serves as Academic Director for the interdisciplinary Master's program 'IoT: Innovation and Management'. His work focuses on protocols and architectures for maintaining internet connectivity in dynamic environments, particularly through the development of the OLSR and LOADng routing protocols. Education: M.Sc. and PhD from Aalborg University (Denmark) Research: IoT networking, Smart Grid communication, wireless mesh networks, routing protocol design, network load balancing, and security in MANETs Recent Article Trends: Explored machine learning for load balancing (2022), zero-trust architectures (2023), and wireless optimization for IoT/SmarGrid (2016-2022) Scientific Awards: IEEE Senior Member (2016), IEEE Computer Society Distinguished Contributor (2021) Industrial Collaborations: Hitachi (Japan), Fujitsu (USA), Toyota (Japan), Cisco (USA/France), EDF (France), and others

Kaveh ShamsiView profile

Assistant Professor

• Hardware Security
• Circuit Obfuscation
• Side-Channel Attacks and Resilience
• +6 more

Kaveh Shamsi is an Assistant Professor in the Department of Electrical & Computer Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His work bridges hardware design and cybersecurity, with a focus on ensuring trustworthiness in integrated circuits. His research interests include: IP protection through circuit obfuscation Side-channel-resilient hardware design Computer-aided design (CAD) for secure hardware CMOS and beyond-CMOS circuit design The trends in his research indicate a strong emphasis on hardware security and trustworthy computing, particularly at the physical and circuit levels. He contributes to the development of defensive techniques against hardware-level threats and intellectual property piracy. Kaveh Shamsi has not listed any scientific awards in the provided profile. He has not listed any advisees or grants in the provided information. His academic journey reflects a strong foundation in electrical and computer engineering through degrees from reputable institutions in the United States and Iran. No lab or research team information is explicitly mentioned in the current profile.

• Cybersecurity
• Aerospace Engineering
• 3D Modeling
• +5 more

Dr. Yoana Ivanova is an Associate Professor at the Department of Telecommunications of the New Bulgarian University (NBU), where she has taught since 2016. Her academic career began at the Institute of Information and Communication Technologies of the Bulgarian Academy of Sciences (2014-2018). Education BSc in Engineering Physics , specialization in Communications and Electronics (2000-2004), Faculty of Physics, Sofia University MSc in Communication and Information Systems in Security and Defense (2012-2013), Military Academy "G. S. Rakovski" PhD in Automated Systems for Information Processing and Management (2020), Military Academy "G. S. Rakovski" Research Interests: Focus on cybersecurity for critical infrastructure, 3D modeling for aerospace engineering, microwave technology , and artificial neural networks for steganalysis and digital recognition. Her work bridges digital transformation with security applications in telecommunications and defense. Publications: Authored a 2024 monograph on crystal optimization for telecommunications , 10+ peer-reviewed papers in Web of Science journals (IJITS, MATEC Web of Conferences), and conference proceedings in NATO and defense-related symposia. Key topics include cyberattack simulations , 3D printing for radio devices , and AI-driven security solutions .

Snizhana Yuryivna GimchynskaView profile

Assistant Professor

• Distance Learning
• Computer Hardware Development
• Information Coding
• +3 more

Snizhana Yuryivna Gimchynska is an Assistant Professor at the Department of Computer Systems and Networks , Faculty of Physics , Chernivtsi National University named after Yu. Fedkovych . Her work bridges computer hardware/software development with educational technology innovation . Education: Chernivtsi State University (1992) (Computer Science), Retraining in Public Finance (2010) Research Focus : Designing distance learning systems since 2004 Developing computer hardware/software for scientific applications Advancing information coding and digital signal processing methodologies Exploring TCP/IP network database architectures and cloud computing in education Publication Trends : 15+ years of contributions in educational technology , computer networking , and scientific instrumentation , with recent emphasis on cloud-based learning environments (2011) and open-source software adoption (2015-2016). Scientific Recognition : 2023: P-Certificate (Continuing Education) 2022: IPD Week Award 2021: Woman in IT Recognition 2019: CISCO IT Essentials Certification 2019: PCAP Python Programming Certification

• Electronic design automation
• Hardware security
• Optimization
• +5 more

Dr. Levent Aksoy is a Senior Research Fellow at Tallinn University of Technology, School of Information Technologies, Department of Computer Systems, where he has been working since 2020 (initially as a Post-Doc and since November 2023 as Senior Research Fellow). His academic journey began with a BSc from Yildiz Technical University, followed by MSc and PhD degrees from Istanbul Technical University in Electronics and Communication Engineering. Dr. Aksoy's research primarily focuses on electronic design automation, hardware security, and optimization techniques. His work spans several key areas including logic locking, circuit obfuscation, multiplierless design methods for constant multiplications, and switching lattices for efficient logic implementation. He has published extensively in top-tier IEEE journals and conferences, with a strong emphasis on hardware security mechanisms and efficient circuit design. His recent publications (2020-2025) demonstrate a clear research trajectory toward hardware security, with numerous papers on logic locking techniques, structural analysis attacks, and hardware obfuscation methods. This research direction aligns with his current leadership of the EAGER project on 'Hardware-Efficient Realization of UA Cryptographic Standards' and his involvement in the European Space Agency project on 'End-to-End Supply Chain Protection'. Dr. Aksoy has received multiple awards for his research contributions, including: First place in HELLO: CTF 2022 (2023) Best paper award at DDECS (2022) Best paper award at EUC (2015) As a supervisor, Dr. Aksoy currently guides three students working on hardware security topics, including lightweight cryptography implementations and advanced hardware protection mechanisms. He also serves on PhD and MSc defense committees at Tallinn University of Technology and Linköping University. His professional service includes IEEE membership and reviewing for prestigious IEEE transactions and conferences such as DATE, ICCAD, and ISCAS.