Find Academic Supervisors

• Reliable Hardware Design
• Electronic Design Automation
• Edge Computing
• +4 more

Dr. Abusaleh Jabir is a University Reader at the School of Engineering, Computing and Mathematics, Oxford Brookes University. He holds a DPhil in Computing from the University of Oxford and leads the Advanced Reliable Computer Systems (ARCoS) group. His research focuses on reliable hardware design, memristive nanotechnology, edge computing, and secure authentication systems. He has over 80 peer-reviewed publications and multiple patents, including innovations in error-tolerant circuits and memristive architectures. **Education**: DPhil in Computing (University of Oxford). **Research Interests**: Reliable hardware design, electronic design automation, sensing at the edge, physical uncloneable authentication, and emerging memristor technologies. His work addresses challenges in IoT, edge computing, and cybersecurity through innovative electronic systems. **Funding & Projects**: Current projects include the Leverhulme Trust-funded MONITOR gas sensor array initiative. His research has been supported by the UK Ministry of Defence, EPSRC, and Finance South East. **Awards & Patents**: Multiple patents granted, including EU 17706875.6 (memristive logic) and GB 1914221.5 (reconfigurable memristive logic). Recognized with best paper awards. **Advising & Impact**: Supervised PhD students now leading semiconductor and automotive industries (e.g., Infineon Technologies, Continental Teves AG). Collaborates with academic and industrial partners globally. **Labs & Teams**: Leads the ARCoS group within the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute, fostering interdisciplinary innovation in secure and reliable electronics.

Damon L. WoodardView profile

Professor

• Artificial Intelligence
• Hardware Security
• Biometrics
• +5 more

Damon L. Woodard is a Professor in the Department of Electrical and Computer Engineering at the University of Florida (UF) and serves as Director of the Florida Institute for National Security (FINS) and the Applied Artificial Intelligence (AAI) Group. His research focuses on applied artificial intelligence, hardware security, and biometrics, with particular emphasis on adversarial AI, AI-enabled hardware assurance, and explainable AI (XAI). He holds IEEE and ACM Senior Member status and is a Kavli Frontiers Fellow. Education: Ph.D. in Computer Science and Engineering, University of Notre Dame M.E. in Computer Science and Engineering, Penn State University B.S. in Computer Science and Computer Information Systems, Tulane University Research Interests: Dr. Woodard explores cutting-edge areas such as AI hardware acceleration, multi-modal AI systems, and counter-AI strategies. His work bridges cognitive science and technology through projects like text stylometry and psychological analysis frameworks. Key focus areas include semiconductor reverse engineering, hardware trojan detection via SEM imaging and machine learning, and secure IoT biometric systems. Highlighted Awards: National Academy of Science Kavli Frontiers Fellow IEEE Senior Member ACM Senior Member AAAI Membership Leadership & Contributions: As FINS Director, he oversees national security initiatives integrating AI and hardware assurance. His AAI Group develops resource-efficient AI solutions for constrained environments. Notable projects include the SECURE segmentation metric for IC reverse engineering and the MaGNIFIES GAN framework for electronic system inspection. Labs & Teams: Leads the Applied Artificial Intelligence Group and collaborates across disciplines through FINS, fostering innovation in AI-driven security and semiconductor integrity.

Nikola I. MitrovicView profile

Lecturer

• Microelectronics
• Semiconductor Devices
• Power Electronics
• +3 more

Nikola I. Mitrovic is a Lecturer at the Faculty of Electronic Engineering, University of Niš, specializing in Microelectronics and Microsystems. His academic career began with a Master's degree (2018) and undergraduate degree (2017) in Electronic Components and Microsystems from the same institution. He has been actively involved in teaching and research since 2020, focusing on semiconductor device reliability and renewable energy technologies. Education Bachelor's Degree: Electronic Components and Microsystems, Faculty of Electronic Engineering, University of Niš (2017) Master's Degree: Electronics and Microsystems, Faculty of Electronic Engineering, University of Niš (2018) Research Interests His research emphasizes semiconductor device modeling, particularly in power VDMOSFETs under stress conditions, and solar energy systems. He explores failure mechanisms in microelectronics and develops practical educational tools for engineering students. His work bridges theoretical analysis (e.g., NBTS/NBTI effects) with applied technologies like solar tracking systems and RFID-based access controls. Publications He has published extensively in IEEE journals and international conferences, focusing on topics such as device reliability, solar cell characterization, and embedded system design. His work demonstrates a blend of semiconductor physics, mathematical modeling (e.g., Least Square Method applications), and practical engineering solutions. Awards and Activities Received First Prize for the project 'RFID-Based Access Control System' at the 11th Student Projects Conference (2018) Member of the Secretariat for the IEEESTEC Student Project Conference Current involvement: 1 national research project Labs/Teams His affiliation with the Department of Microelectronics positions him within a research group focused on advanced semiconductor technologies and renewable energy systems. Collaborations include work with colleagues on device modeling and educational technology development.

Alireza EsfahaniView profile

Senior Lecturer

• Cybersecurity
• Network Security
• IoT Security
• +5 more

Dr. Alireza Esfahani is a Senior Lecturer in Cyber Security at the School of Computing and Engineering (SCE) at the University of West London, where he also serves as the Course Leader for the BSc (Hons) Cyber Security and BSc (Hons) Cyber Security with Foundation Year programs. Previously, he held a lecturing position at the University of Greenwich from 2021 to 2023. He earned his PhD in Telecommunications from the University of Porto, Portugal, through the MAP-TELE doctoral program in 2017, followed by postdoctoral research at the Instituto de Telecomunicações in Portugal (2017–2019). Education: PhD in Telecommunications (University of Porto, 2017) Experience: Research Associate at SnT-CritiX (University of Luxembourg), contributing to EU cybersecurity projects SPARTA and CyberSec4Eu Affiliations: European Cyber Security Organisation (ECSO) and IEEE member Research Interests: Dr. Esfahani focuses on cybersecurity in IoT, connected vehicles, intrusion detection, machine learning applications, and semiconductor supply chain security. His work emphasizes secure authentication mechanisms, network coding security, and resilient systems design. Teaching: He teaches courses in BSc and MSc programs, including Cyber Security, Computer Science, and specialized modules in network security and secure communication protocols. Grants & Projects: Instrumental in EU-funded initiatives like SPARTA and CyberSec4Eu, focusing on cybersecurity frameworks and distributed systems. Labs/Teams: Collaborated with SnT-CritiX at the University of Luxembourg, developing cybersecurity solutions for critical infrastructure.

Frank LiView profile

Professor

• Electrical Engineering
• RF Engineering
• Autonomous Power Conversions
• +4 more

Dr. Frank Li serves as Professor and Director of the Rayen School of Engineering at Youngstown State University, holding a concurrent position as Chair of the Department of Electrical and Computer Engineering. His academic leadership spans multiple institutional roles including department chair since 2019. His educational background includes: Ph.D. in Electrical Engineering (2005, Case Western Reserve University) M.S. in Electrical Engineering (1999, Youngstown State University) B.S. in Electrical Engineering (1995, Ohio State University) Research focuses on RF engineering, autonomous power conversions, and applied magnetic fields with significant contributions to microelectronics security, wireless sensor networks, and structural health monitoring. His work bridges theoretical advancements with practical applications in battery technology, antenna design, and semiconductor verification. Recent publications demonstrate strong emphasis on terahertz antenna fabrication, trusted microelectronics, and novel sensor development. Key scientific recognitions include: Youngstown State University Distinguished Chairperson (2023) NASA Glenn Summer Faculty Fellowship (2016, 2017) As an educator, Dr. Li has mentored over ten graduate students and developed innovative low-cost laboratory systems for engineering education. His externally funded research includes collaborations with NASA and MIT's Francis Bitter Magnetic Laboratory where he served as visiting scientist (2014-2015). Current work involves advanced manufacturing techniques for RF components and security verification of integrated circuits.

Elliot EichenView profile

Research Professor

• Telecommunications
• Spectrum Sharing
• 5G/6G Communications
• +3 more

Elliot Eichen is a Research Professor at the University of Colorado, with concurrent academic appointments as Visiting Industry Professor at Tufts University, Adjunct Professor at Northeastern University, and a staff member at MIT. He holds a BS in Physics from SUNY Stony Brook, a PhD in Optics from the University of Arizona, and an MBA from Boston University. His career spans over three decades in industry, including roles at GTE Labs, Genuty/Verizon Labs, and retirement as Director of R&D at Verizon in 2017. He served as an IEEE/AAAS Congressional Fellow from 2018–2019, supporting Senate and House Science Committees. His research focuses on spectrum sharing, qubit-resistant cybersecurity, and 5G/6G communications. Notable contributions include over 60 peer-reviewed publications and 70 US patents. His advisees work in major telecom industries and startups globally. Research interests emphasize practical spectrum management solutions, including geofencing for satellite-terrestrial coexistence and cybersecurity resilient to quantum computing threats. Recent work explores 5G/6G network architectures and regulatory frameworks for dynamic spectrum access. He has pioneered testbeds like the RF-Flashlight for real-time spectrum validation and contributed to national radio dynamic zones (NRDZ) initiatives. Publications from 2021–2025 highlight advancements in geographic spectrum sharing, millimeter-wave integration, and satellite-communication synergy. His 2018–2023 work addresses secure provisioning and dynamic network management. He has advised students employed by leading carriers, equipment vendors, and communication startups, fostering industry-academia collaboration.

Navid AsadiView profile

Associate Professor

• Hardware Security
• Reverse Engineering
• 3D Imaging
• +7 more

Navid Asadi is an Associate Professor in the Electrical & Computer Engineering Department at the University of Florida, affiliated with the Materials Science & Engineering department. He leads the Security and Assurance (SCAN) Lab, equipped with $12M in advanced imaging tools, and serves as Associate Director of the Florida Semiconductor Institute and the Microelectronics Security Training (MEST) center. His research focuses on hardware security, reverse engineering, 3D imaging, and semiconductor assurance. Dr. Asadi has received NSF CAREER (2022) and multiple best paper awards, including from IEEE HOST and ASME ISFA. He pioneered the IEEE PAINE conference and collaborates with agencies like NSF, AFRL, and industry partners. Education: PhD, Mechanical Engineering, University of Connecticut, 2014 MS, Biomedical Engineering, Amir Kabir University of Technology, 2009 BS, Mechanical Engineering, K.N. Toosi University of Technology, 2007 Research Interests: Dr. Asadi’s work spans hardware security mechanisms, advanced packaging inspection, AI-driven defect detection, and semiconductor supply chain assurance. He develops novel techniques for X-ray compatibility metrics, PCB inspection via deep learning, and physical security of silicon photonics. His lab addresses challenges in heterogeneous integration, counterfeit detection, and runtime system-on-chip (SoC) validation. Awards: NSF CAREER Award (2022) Best Paper Award, HOST International Conference (2016) D.E. Crow Innovation Award (University of Connecticut) Labs & Initiatives: Directs the SCAN Lab and oversees the MEST center, training engineers in microelectronics security. His work integrates quantum sensing, THz spectroscopy, and optical neural networks to enhance hardware assurance. Current projects include AI-driven inspection systems, chiplet authentication (ChiPICA), and defense against probing attacks.

Shahin TajikView profile

Assistant Professor

• Hardware Security
• Cybersecurity
• FPGA Security
• +7 more

Shahin Tajik is an Assistant Professor at the Department of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), with affiliations in Cybersecurity. He joined WPI in July 2020 after serving as an Assistant Research Professor at the Florida Institute for Cybersecurity Research (FICS) at the University of Florida. He holds a Ph.D. in Electrical Engineering from the Technical University of Berlin (2017), an M.S. from the same institution (2013), and a B.S. from K. N. Toosi University of Technology (2010). His research focuses on hardware security, including non-invasive/semi-invasive side-channel analysis, Physically Unclonable Functions (PUFs), FPGA security, and anti-tamper mechanisms. Notable contributions include his ACM CCS’17 paper on optical contactless probing of FPGA bitstream encryption, which won the 2017 CSAW Applied Research Competition. He is also the recipient of the NSF CAREER Award for his work on power delivery network-aware hardware security. Dr. Tajik has served as a reviewer for IEEE and ACM journals and as a technical program committee member for conferences like CHES, HOST, and FDTC. His recent research explores tamper detection via impedance sensing, laser fault injection defenses, and secure edge computing through the Northeastern Microelectronics Coalition (NEMC), where he leads the Secure Edge Computing tech area. Education: Ph.D., Electrical Engineering, Technical University of Berlin (2017) M.S., Electrical Engineering, Technical University of Berlin (2013) B.S., Electrical Engineering, K. N. Toosi University of Technology (2010) His work bridges theoretical advancements with practical defenses, emphasizing hardware's physical layer vulnerabilities. Recent trends in his publications address challenges like chiplet verification, impedance-based tamper detection, and leveraging AI for forensic analysis of electronic components. Awards: NSF CAREER Award (2024) 1st Place, CSAW Applied Research Competition (2017) His grants include funding for laser-assisted attack monitoring (2022) and NSF support for student travel to hardware security events (2024). He collaborates on initiatives like CHIPS Act’s Microelectronics Commons program through NEMC, advancing secure edge computing infrastructure. Labs/Teams: Technical co-lead for Secure Edge Computing at NEMC, involved in interdisciplinary projects addressing hardware security across academia and industry.

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

Filippo StancoView profile

Professor

• Image Processing
• Computer Vision
• Machine Learning
• +7 more

Filippo Stanco is a Full Professor at the Department of Mathematics and Computer Science at the University of Catania. He serves as President of the Bachelor's Degree in Computer Science (since 2017) and Deputy Rector for Technological Innovation (since 2019). His career includes positions as Associate Professor (2014-2023), Assistant Professor (2006-2014), and research fellowships at the Universities of Catania and Trieste. Education: PhD in Computer Science (2003) from University of Catania Bachelor's Degree in Computer Science (1999, summa cum laude) from University of Catania His research spans image processing, computer vision, and machine learning with applications in cultural heritage preservation, medical imaging, industrial automation, and multimedia systems. He leads the Archeomatica Project developing digital tools for archaeology and coordinates multiple national research projects including DREAMIN and CLEAR. Stanco has published extensively on food image analysis, document authentication, video processing, and heritage conservation. His work frequently employs deep learning, 3D modeling, and color science techniques across interdisciplinary domains. Honors: Best Session Paper Award at IPAS 2020 Cookpad Student Travel Grant at CEA 2018 Meritorious Papers recognition in Computers in Biology and Medicine (2016) He coordinates the Archeomatica research group and serves on editorial boards for multiple journals including ACM Journal of Computing and Cultural Heritage and IET Image Processing. Stanco has supervised over 200 theses and teaches courses on multimedia systems, game development, and image processing.

Mehdi AnwarView profile

Professor

• Semiconductor Physics
• Nanotechnology
• Terahertz Technology
• +7 more

Dr. Mehdi Anwar is a Full Professor in the Department of Electrical and Computer Engineering at the University of Connecticut, specializing in semiconductor physics , terahertz technology , and quantum devices . His research spans ZnO nanowire UV detection , III-Nitride quantum cascade lasers , and memristor-based security systems . He has pioneered low-noise antimony-based HEMTs with exceptional performance metrics. Academic Affiliation: University of Connecticut, College of Engineering Editorial Roles: IEEE Journal on Electron Devices, IEEE Transactions on Electron Devices Professional Activities: Conference Chair for SPIE Defense, Security and Sensing Terahertz Physics meetings His team has published over 240 archival works and developed THz spectroscopy techniques for counterfeit electronics detection . These methods utilize back-referenced refractive index analysis (∆n) to authenticate packaged ICs without requiring a 'golden IC' or powered-up components. A handheld THz source for rapid ∆n measurement is under development. Research highlights include: Design of III-Nitride HFETs for RF applications Quantum Mechanical Wave Impedance modeling for resonant tunneling devices Piezoelectric energy harvesting using ZnO nanorods on flexible substrates Coaxial ZnMgO/ZnO core-shell nanowires for enhanced gas sensing Scientific Awards: SPIE Fellow Jefferson Science Fellow (U.S. Department of State) Dr. Anwar's advising includes mentoring researchers like Kiarash Ahi , Anas Mazady , and Abdiel Rivera . His work has been funded through U.S. Department of State collaborations and United Nations technology transfer initiatives, including the establishment of the United Nations Technology Bank for Least Developed Countries .

• Electrical Engineering
• Power Systems
• Microgrid Control
• +3 more

Gregory Kyle Turner is an Associate Professor of Practice in the Department of Electrical Engineering at The University of Texas at Arlington (UTA). His academic career is complemented by extensive industry experience in embedded systems and electronics design, including roles at Texas Instruments, National Semiconductor, and Motorola. He holds a PhD, MS, and BA in Electrical Engineering from UTA. Research focuses on microgrid control systems, battery management, and UAV materials. Notable projects include federal-funded work on bacterial cellulose-based UAV materials and industry collaborations with Raytheon and Elbit Systems. Teaching spans foundational courses like EE Freshman Practicum and advanced topics such as Real-Time DSP and Embedded Systems Programming. Service roles include Department Committee Chair for NTT Faculty Hiring and membership in IEEE Power & Energy Society. His work bridges academia and industry, emphasizing practical applications in power systems and electronics design.

Nam NguyenView profile

Professor

• Complex Network Analysis
• Mobile Computing
• Social Data Analysis
• +5 more

Nam Nguyen is a Professor in the Department of Computer and Information Sciences at Towson University. He holds a Ph.D. in Computer Science from the University of Florida (2013), an M.S. from Ohio University (2009), and a B.S. from Vietnam National University (2007). His research focuses on complex network analysis, mobile computing, social data analysis, and data mining with applications in cybersecurity and big data. Education: Ph.D., Computer Science, University of Florida (2013) M.S., Computer Science, Ohio University (2009) B.S., Computer Science, Vietnam National University (2007) Research Interests: His work explores network vulnerability assessment, dynamic community detection, and applications in cybersecurity, mobile systems, and social computing. Recent projects include analyzing misinformation containment in social networks and developing robust algorithms for adaptive network structures. Professional Contributions: Nguyen has authored over 30 publications in top-tier venues like IEEE INFOCOM and IEEE Transactions journals. He serves as Associate Editor for Computational Social Networks and has organized conferences like CSoNet 2015. His reviews span multiple IEEE journals and conferences, emphasizing computational methods in social systems and network science. Labs/Teams: Engages in interdisciplinary collaborations on network resilience, mobile computing, and big data analytics through Towson University’s research initiatives.

• Machine Learning
• Internet of Things
• Biomedical Engineering
• +7 more

Md. Mehedi Hasan is a researcher at Daffodil International University's Department of Computer Science and Engineering. With over 17 years of research activity, his work spans multiple domains including Internet of Things (IoT), machine learning, biomedical informatics, and environmental technology. Current affiliations include collaborations with institutions in Bangladesh, Japan, and Malaysia. Research areas: Machine Learning, IoT Security, Medical Imaging, Aquaculture Monitoring Key technologies: Deep Learning, Time Sensitive Networking, Kerberos Authentication Notable contributions: NAND Flash memory analysis, Pediatric health applications, Urbanization impact studies His 2025 publications focus on medical data preservation ( Comput. Biol. Medicine ), pedestrian risk assessment ( Complexity ), and toddler screen time management ( SoftwareX ). Recent work explores the intersection of environmental analysis with deep learning and cryptographic solutions for smart infrastructure. Scientific contributions include: Radiation tolerance analysis of neuromorphic systems (IRPS 2020) Smart meter security protocols (Earth Sci. Informatics 2024) Acoustic breathing phase detection (Proc. ACM IMWUT 2021)

Petr NeumannView profile

Assistant Professor

• Industrial Information Systems Technology
• Diagnostic Methods in Electronics
• Semiconductor Component Authentication
• +3 more

Ing. Petr Neumann, Ph.D. is an Assistant Professor at the Faculty of Applied Informatics , Tomas Bata University in Zlín, Czech Republic. He works in the Department of Electronics and Measurement, focusing on industrial information systems, semiconductor component authentication, and diagnostic methods in electronics. 1994-2001: Doctoral studies in Technical Cybernetics at Brno University of Technology 1969-1974: Electrical Engineering at Brno University of Technology 1988-1989: English language certification at Zlín State Language School Secondary education: Holešov Gymnasium (1966-1969) His research spans electronics engineering , measurement systems , and semiconductor verification . He has collaborated with Siemens, Speedline, and Philips, and held internships at Celestica (UK) and the Scottish Microelectronics Center (2018).