جست‌وجوی استاد و پژوهشگر

Arnab Kumar Biswasمشاهده پروفایل

مدرس

• Computer Architecture
• Network Security
• Quantum Cryptography
• +۵ مورد دیگر

Dr. Arnab Kumar Biswas is a Lecturer at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast. He is affiliated with the Centre for Secure Information Technologies (CSIT), an academic center of excellence for cyber security research (ACE-CSR) recognized by the UK National Cyber Security Centre (NCSC). His research focuses on securing embedded systems through hardware-software co-design, network security, and quantum/post-quantum cryptography, with applications in remote healthcare, satellite communication, and IoT. He has secured significant funding and equipment including an Impact Acceleration Account (IAA) grant for Space 2.0 research, a CHERI-enabled Morello board from ARM, and Intel's DE10Pro Stratix 10 GX/SX accelerator. He also received 12 PYNQ Z2 boards from AMD for teaching and projects. His work emphasizes secure-by-design concepts and hardware acceleration for cryptographic solutions. Biswas is actively involved in PhD supervision, offering projects in decentralized trust zones for remote health monitoring and zero-trust power management for on-chip systems. His research contributions span network-on-chip security, IP protection via timing channels, and countermeasures for wireless NoC attacks. He has been recognized with awards such as the Fredrik and Catherine Eaton Fellowship (2024) and the Richard Newton Young Fellow award (2014). Research interests: Hardware-software co-design, network security, quantum cryptography acceleration, embedded system security, IoT for healthcare Equipment: Morello board (ARM), Alpha-Data ADK-VA600, Intel DE10Pro, PYNQ Z2 boards Collaborations: CSIT, ARM, Intel, AMD

Swarup Bhuniaمشاهده پروفایل

استاد

• Hardware Security
• IoT Systems
• Adaptive Computing
• +۴ مورد دیگر

Dr. Swarup Bhunia is the Semmoto Endowed Professor and Director of the Warren B. Nelms Institute for the Connected World at the University of Florida's Department of Electrical and Computer Engineering. He leads the Nanoscape Lab, focusing on hardware security, IoT systems, and wearable devices. His research spans adaptive computing, food safety detection using NQR spectroscopy, and AI-driven hardware security frameworks. Education: PhD in Electrical Engineering, Purdue University (2005) MTech in Computer Science, Indian Institute of Technology (1997) BE in Computer Science, Jadavpur University (1995) Research Interests: Hardware and systems security IoT-driven healthcare and environmental monitoring Energy-efficient computing architectures Anti-counterfeiting and authentication systems His lab develops technologies like wearable health sensors, bee behavior monitoring systems, and secure edge devices. Recent projects include the 'SAMURAI' AI protection framework and NQR-based substance authentication. Scientific Awards: 2024 IEEE Fellow & UFRF Professorship 2013 IBM Faculty Award and Schroeder Chair Professorship NSF CAREER Award (2011) Advising & Grants: Mentor to students like Rohan Reddy Kalavakonda (Attributes of a Gator Engineer Award) and Sudipta Paria (Graduate Research Excellence) Recipient of grants from IBM, NSF, and the Semiconductor Research Corporation His work includes collaborative initiatives like the Cade Museum's microelectronics education program and the Nelms IoT Conference. Labs & Teams: Nanoscape Lab: Specializes in secure IoT systems and hardware IP protection Warren B. Nelms Institute: Leads industry-academia partnerships in connected technologies Current projects include drone-based battery charging (D2DC) and 'BoW' mobile battery systems for EVs.

Fareena Saqibمشاهده پروفایل

دانشیار

• Hardware Security
• IoT Security
• Hardware Trust and Authentication
• +۵ مورد دیگر

Fareena Saqib is an Associate Professor in the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte (UNCC), serving as Director of the Hardware and Embedded Design and Security (HEADS) Lab. Her research focuses on hardware security, IoT security, and embedded systems security, with particular expertise in physical unclonable functions (PUF), FPGA-based security, and supply chain risk management. She leads efforts in developing secure boot frameworks, countermeasures against side-channel attacks, and authentication protocols for resource-constrained devices. Her work spans multiple domains including automotive networks (CAN-FD security), FPGA security through logic locking and dynamic reconfiguration, and embedded systems protection against DMA and other hardware-level attacks. Dr. Saqib has published extensively on topics like counterfeit IC detection using machine learning, secure communication frameworks for electronic control units, and hardware-assisted information flow tracking in RISC-V architectures. Her research has been supported by grants such as NSF Student Travel Grants for IEEE HOST conferences. Key contributions include novel authentication protocols based on PUF technology, delay-based machine learning models for attack mitigation, and secure design flows for reconfigurable systems. She actively promotes cybersecurity education through initiatives like the HACE Lab, an online platform for hardware security evaluation.

Raheem A Beyahمشاهده پروفایل

استاد

• Network Security
• Cyber-Physical Systems Security
• Network Traffic Characterization
• +۳ مورد دیگر

Raheem A Beyah is the Dean of the College of Engineering at Georgia Tech and holds the Southern Company Chair. He is a Professor in the School of Electrical and Computer Engineering, leading the Communications Assurance and Performance Group (CAP). His research focuses on network security, cyber-physical systems, and critical infrastructure protection. Education: BS in Electrical Engineering from North Carolina A&T State University (1998), MS and PhD in Electrical and Computer Engineering from Georgia Tech (1999-2003). Prior roles include Vice President for Interdisciplinary Research, Interim ECE Chair, and affiliations with the Institute for Information Security & Privacy (IISP). Research interests span network security monitoring, industrial control systems, and IoT vulnerability analysis. Notable achievements include the NSF CAREER Award (2009), ACM Distinguished Scientist (2016), and IEEE Fellow (2025). Advising and grants: Founded Fortiphyd Logic, Inc., and led initiatives like the Online Masters of Cybersecurity (OMS Cybersecurity). Community involvement includes KIPP WAYS Academy board service and leadership programs with United Way and Leadership Atlanta. Labs/Teams: CAP Group focuses on secure network infrastructure and accountable computing systems. Active in academic mentoring through programs like LSAMP and SURE.

Pascal Felberمشاهده پروفایل

استاد

• Distributed Systems
• Concurrent Systems
• Trusted Execution Environments
• +۷ مورد دیگر

Pascal Felber is a Full Professor at the Institute of Computer Science within the Faculty of Science at the University of Neuchâtel. His career spans significant industry experience at Oracle Corporation and Bell Labs before transitioning to academia, where he has established himself as a leading researcher in complex computing systems. His research interests focus on the theoretical foundations and practical applications of complex computing systems, particularly reliable, distributed, concurrent, and secure systems. Felber's work addresses critical challenges in large-scale systems including cloud computing, Internet of Things, and big data technologies. His research bridges theoretical computer science with practical system implementations. Analysis of his recent publications reveals a strong emphasis on Trusted Execution Environments (TEEs), secure computing, blockchain security, and privacy-preserving technologies. His work spans multiple domains from secure DNA alignment to phishing detection in smart contracts, demonstrating both theoretical depth and practical impact in addressing security challenges in modern distributed systems. Professor Felber has participated as a (co-)applicant in approximately twenty research projects funded by the EU (including VELOX, SRT-15, LEADS, ParaDIME, SafeCloud, SecureCloud, EBSIS, LEGaTO, VEDLIoT) and the Swiss National Science Foundation (SNSF). His teaching portfolio includes Bachelor's degree courses in French (Programming I & II, Languages and compilation, Web and network technologies, Concurrent and distributed systems) and Master's courses in English (Concurrency: Multi-core programming and data processing, Hot topics in operating systems seminar).

Vira Ivanivna Shmyrkoمشاهده پروفایل

دانشیار

• Materials Science
• Corrosion-Mechanical Properties
• Gas Turbine Engineering
• +۴ مورد دیگر

Vira Ivanivna Shmyrko is an Associate Professor at Zaporizhzhia Polytechnic National University with over 30 years of academic experience since 1991. She holds a Candidate of Technical Sciences degree and specializes in two distinct yet complementary fields: materials science for gas turbine engineering and psychophysiological safety. Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar (1990), Engineering and Physics faculty Candidate's thesis in Materials Science (2001): "Evaluation and prediction of corrosion-mechanical and strength properties of materials of working blades under conditions of aggressive influence of gas turbine fuel" Her research spans two primary domains with increasing integration in recent years. Initially focused on materials science for gas turbine components, her work examined corrosion-mechanical properties and durability prediction of turbine blades under aggressive conditions. Since approximately 2015, her research has expanded significantly into occupational safety, psychophysiological safety, and emergency situation management, with particular emphasis on educational settings and wartime conditions. Her recent publications (2023-2025) demonstrate a sophisticated integration of these domains, especially in assessing psycho-emotional states of university students in frontline regions as a tool for labor protection. Her publication record shows consistent scholarly output with 30 scientific works including 2 patents. The most recent articles (2023-2025) reveal a strong focus on wartime safety challenges, particularly the psycho-emotional conditions of students in conflict zones, while maintaining her technical expertise in gas turbine materials. This dual focus reflects her ability to address both technical engineering challenges and human factors in safety management. Chest Sign "For Impeccable Work" III degree from Zaporizhzhia Polytechnic University (2020) Associated Member of the European Community for Occupational Safety and Health (ESOSH), registration No. 13823000217 (June 16, 2023) Professor Shmyrko actively contributes to academic development through participation in international scientific and pedagogical internships, including the VI International Scientific Congress "Society of Ambient Intelligence" (2023) and the International Scientific and Practical Conference "Business Ecosystems: Sustainable Development 2025" (February 2025). She teaches "Safety of life of a specialist with the basics of labor protection" and "Labor Protection in the Industry," connecting theoretical knowledge with practical safety applications. Her recent professional development includes specialized training in legislative acts on labor protection, occupational hygiene, first aid, electrical safety, and fire safety (March 2024). Based in classroom 22a at Zaporizhzhia Polytechnic National University (Zhukovsky Street, 64), Professor Shmyrko maintains an active research program that bridges traditional engineering materials science with contemporary psychosocial safety challenges, particularly relevant in Ukraine's current context.

• Hardware-Software Co-design
• Deep Learning Security
• Intellectual Property Protection
• +۵ مورد دیگر

Huili Chen is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California San Diego's Jacobs School of Engineering. Her research spans the intersection of hardware security, deep learning, and human-robot interaction, with a particular focus on intellectual property protection for AI systems and socially interactive robotics for education and family settings. Her research interests focus on hardware-software co-design for secure and robust deep learning systems, with specific expertise in neural network watermarking, hardware Trojan detection, and privacy-preserving AI. She has made significant contributions to federated learning security, developing frameworks like GALU for logic unlocking and AdaTest for hardware Trojan detection. In human-robot interaction, she investigates long-term multi-person interactions, particularly in home environments with children and parents, exploring how robots can enhance engagement and learning through adaptive role-playing. Her publication trends reveal a dual research trajectory: one branch focused on deep learning security and hardware co-design (accounting for approximately 60% of her recent work), and another dedicated to socially assistive robotics and human-robot interaction (40%). The security research often involves innovative approaches combining reinforcement learning with hardware constraints, while her HRI work emphasizes longitudinal studies of robot-child-parent dynamics in naturalistic settings. Dr. Chen actively collaborates with leading researchers including Farinaz Koushanfar at UC San Diego and Cynthia Breazeal at MIT Media Lab. Her work has been published in top-tier venues including IEEE Transactions on Affective Computing, ACM Transactions on Embedded Computing Systems, International Conference on Computer Vision (ICCV), and the ACM/IEEE International Conference on Human-Robot Interaction (HRI). She is a key contributor to the DAMI-P2C project, which has developed datasets and models for analyzing parent-child multimodal interactions, and leads research on hardware security frameworks for deep neural networks. Her laboratory combines expertise in computer architecture, machine learning, and social robotics to develop systems that are both technically secure and socially effective.

• Public International Law
• WTO Law
• EU Law
• +۶ مورد دیگر

Dr. Berna Akcali Gur is a Lecturer at the School of Law , Queen Mary University of London, and a Convenor for the Outer Space Law module at the Centre for Commercial Law Studies (CCLS). She holds a PhD (2014, King's College London), LLM (University of Pennsylvania), and LLB (Ankara University), and is a qualified lawyer in Istanbul. Her research focuses on public international law , WTO law , and EU law implications of advancements in information communication technologies (ICT). Key projects include the Global Governance of Satellite Broadband and analyses of cybersecurity, data sovereignty, and the geopolitical dimensions of digital infrastructure. She collaborates with the Digital Governance Cluster at the United Nations University Institute on Comparative Regional Integration Studies. Her recent work spans satellite broadband regulation , cybersecurity policy , and data protection law , with publications in journals like Telecommunications Policy and Computer Law & Security Review . She has received grants, including an Internet Society Foundation research grant (2022), and actively engages in global internet governance through organizations like GigaNet and the European Centre for Space Law. As Chair of the GigaNet Membership Committee and member of the Annual Symposium Program Committee, she contributes to internet governance debates. She has presented at forums including the Internet Governance Forum (Kyoto, 2023), RightsCon (2023), and the European Security and Defence College (2023).

Zahra Tarkhaniمشاهده پروفایل

استادیار

• Computer Security
• Confidential Computing
• Privacy-Preserving Systems
• +۵ مورد دیگر

Zahra Tarkhani is an Assistant Professor in the Department of Computer Science and Technology within the School of Technology at the University of Cambridge. She is based in the William Gates Building (Room GC01) at 15 JJ Thomson Avenue, Cambridge CB3 0FD, and can be contacted at zt233@cam.ac.uk. Her research focuses at the intersection of hardware security, confidential computing, and privacy-preserving systems. Key interests include trusted execution environments, secure machine learning implementations, memory safety mechanisms, and security for wearable brain-computer interfaces. Her work bridges theoretical security principles with practical system implementations, particularly addressing challenges in heterogeneous computing environments. Analysis of her 11 publications from 2017-2024 reveals a strong trajectory toward secure machine learning systems, with recent work systematizing knowledge in confidential computing for ML. Earlier research established foundations in memory protection (Tiles/μTiles), enclave orchestration (Sirius), and heterogeneous enclave management (Snape), demonstrating consistent innovation in privilege separation and compartmentalization techniques. Her scientific contributions address critical gaps in hardware-software security interfaces, with applications spanning cloud infrastructure, edge computing, and biomedical devices. The publications demonstrate technical depth in both architectural design and implementation security.

Maryam Parsaمشاهده پروفایل

استادیار

• Neuromorphic Computing
• Neural Architecture Search
• Bayesian Optimization
• +۶ مورد دیگر

Maryam Parsa is a Tenure-Track Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University. Her research focuses on neuromorphic computing, Bayesian optimization, and algorithm-hardware co-design, aiming to develop energy-efficient, secure, and resilient AI systems for edge computing applications. She holds a PhD from Purdue University, supported by an Intel/SRC fellowship, and previously worked at Oak Ridge National Lab. Education: PhD in Electrical and Computer Engineering, Purdue University (2020) MS in Civil Engineering, Purdue University (Year unknown) MS in Electrical and Computer Engineering, University of Ottawa (Year unknown) BS in Electrical and Computer Engineering, Khaje Nasir Toosi University of Technology (Year unknown) Research Interests: Neuromorphic learning and bio-inspired robotics Bayesian optimization for materials discovery Privacy-preserving spiking neural networks Edge AI and real-time embedded systems Major Achievements: Lead a $2.4M 3-year project on 3D chip creation (2023) Recipient of Intel/SRC PhD Fellowship Current Work: Developing neuromorphic architectures for smart healthcare and cyber-physical systems Pioneering causal machine learning for materials innovation Advancing privacy & security in neuromorphic systems Labs/Teams: Active in Mason's neuromorphic computing research group with collaborations in national labs and industry partners.

Ihsen Alouaniمشاهده پروفایل

مدرس ارشد

• Machine Learning Security
• Adversarial Machine Learning
• Data Privacy
• +۵ مورد دیگر

Ihsen Alouani is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science. His research focuses on trustworthy intelligent systems, emphasizing machine learning security, user data privacy, fairness, and environmental impact. He actively supervises PhD students and leads projects like TR1419ECS (Trustworthy Distributed Brain-inspired Systems) and TR1272ECS (TruDetect). Key research areas include adversarial machine learning, hardware security, neuromorphic systems, and approximate computing. Notable contributions include defensive approximation techniques, entropy-based adversarial patch removal, and voltage-scaling for security enhancement. He has received the 2024 Outstanding TPC Member Award at DAC. Projects: 3 active projects (Trustworthy Distributed Brain-inspired Systems, TruDetect, NIO New Deal Cyber Bid) Activities: Keynote talks on ML trustworthiness, invited presentations on neuromorphic computing, and workshop organization Labs/Teams: Collaborates on neuromorphic security, hardware trojan detection, and federated learning Publications span adversarial attacks, defense mechanisms, and neuromorphic architectures, with over 67 research outputs from 2016–2025. His work bridges theoretical security frameworks with hardware implementations for real-world resilience.

J. Todd McDonaldمشاهده پروفایل

استاد

• Software Protection and Assurance
• Secure Software Engineering
• Anomaly Detection
• +۵ مورد دیگر

Dr. J. Todd McDonald is a Professor of Computer Science at the University of South Alabama's School of Computing. He serves as Director of the Center for Forensics, Information Technology, and Security (CFITS) and has held academic roles including Associate Professor (2011-2014) and Assistant Professor at the Air Force Institute of Technology (2006-2009). His education includes a Ph.D. in Computer Science from Florida State University (2006), MS in Computer Engineering from AFIT (2000), MBA from University of Phoenix (1996), and BS from the U.S. Air Force Academy (1990). Research Interests: Focus on software/hardware protection (obfuscation, watermarking), malware analysis, secure embedded systems, and cybersecurity. Notable projects include Phase-Space Analysis for seizure prediction, CAN network security, and development of the Program Encryption Toolkit (PET) for circuit protection research. Publications: Over 80 peer-reviewed articles in journals/conferences (e.g., IEEE, ACM) covering topics like side-channel analysis, malware detection, and cybersecurity frameworks. Recent work includes 2025 research on embedded system anomaly detection and 2021 studies in Android malware classification. Awarded Best Poster (IEEE HOST 2016) and Best Paper (CISR 2014) Managed NSF Scholarship for Service program ($6M+ funding) Advised 20+ graduate students in cybersecurity and software protection Led USA's DayZero Cyber Defense Competition teams (5th NCCDC 2017) Labs/Teams: SPERG (System Protection & Exploitation Research Group), CFITS directorship, and leadership in SSPREW workshop series. Active in developing cybersecurity education curricula and industry partnerships.

Zhi Zhangمشاهده پروفایل

مدرس

• System Security
• Rowhammer Exploits
• Adversarial Artificial Intelligence
• +۳ مورد دیگر

Zhi Zhang is a Lecturer in the Department of Computer Science and Software Engineering at the University of Western Australia (UWA), affiliated with the UWA Defence and Security Institute. Prior to this role, he worked as a Research Scientist at CSIRO’s Data61. He holds a PhD in Computer Science from the University of New South Wales, focusing on 'Software-only Rowhammer Attacks and Countermeasures.' His research expertise spans system security, rowhammer exploits, adversarial AI, and federated learning security. He has contributed to UN Sustainable Development Goals related to education and innovation. His research focuses on hardware-software co-design vulnerabilities, including rowhammer-based attacks, adversarial machine learning defenses, and data poisoning in federated learning. Notable areas of contribution include interrupt side-channel attacks, thermal event exploitation, and model unlearning mechanisms. He has published extensively in top-tier journals/conferences like IEEE Transactions on Information Forensics and Security, and has received Distinguished Paper Awards in 2023 and 2024. Education: PhD in Computer Science (UNSW, 2021) Key Research Areas: Rowhammer Exploits & Mitigations Adversarial Attacks on DNNs Federated Learning Security Interrupt-Based Side Channels His work bridges theoretical computer security with practical system implementations, addressing critical vulnerabilities in modern architectures. Collaborations span academia and industry, with impactful contributions to hardware-software security domains.

Stephen Torriمشاهده پروفایل

دانشیار

• Cyber Security
• Reverse Engineering
• Software Engineering
• +۷ مورد دیگر

Stephen Torri is an Associate Professor and holds the Mary Lyn and Niles Moseley Endowed Chair in Cybersecurity at Mississippi State University's Department of Computer Science and Engineering. His research focuses on cybersecurity, reverse engineering, software engineering, high performance computing, and compiler analysis. He earned his Ph.D. in Computer Science from Auburn University (2009), M.S. from Washington University in St. Louis (2004), and B.S. in Accounting, Finance, and Computer Science from Lancaster University (2001). Education: Ph.D., Computer Science, Auburn University, 2009 M.S., Computer Science, Washington University in St. Louis, 2004 B.S., Accounting, Finance, and Computer Science, Lancaster University (UK), 2001 His research interests emphasize malware analysis, compiler-based reverse engineering techniques, and cybersecurity solutions. Notable work includes frameworks for compiler classification, control flow graph analysis using machine learning, and real-time middleware systems. He has contributed to foundational studies on software sustainment, Java obfuscation, and distributed computing performance optimization. His research bridges theoretical software engineering principles with practical applications in embedded systems and high-performance computing environments. Recent publications (2023-2024) highlight advancements in malware detection using neural networks, comparative mobile security analyses, and software maintainability studies. His work spans over two decades with contributions in both cybersecurity and systems software domains.

Michał Budkaمشاهده پروفایل

پژوهشگر

• Composite Materials
• Material Science
• Civil Engineering
• +۳ مورد دیگر

Michał Budka is a researcher at the Lublin University of Technology's Faculty of Civil Engineering, affiliated with the Department of Building Materials Engineering and Geoengineering and the Laboratory of Civil Engineering. His work focuses on composite materials, structural mechanics, and thermal degradation effects. He has authored/co-authored studies on CFRP composites' mechanical behavior under thermal aging and erosion, as well as a patented clamp design for lens housing fixation. Research Interests: Advanced composite materials Non-destructive testing techniques Thermal and mechanical degradation analysis Key Contributions: His 2024 Materials paper investigates protective coating efficacy under flame exposure, while the 2023 Polymer Testing study employs DIC systems to assess CFRP aging. The 2022 patent (B1 241629) addresses innovative optical lens mounting solutions. Award-winning achievements: No scientific awards explicitly mentioned in records. Lab Affiliations: Active in multiple labs including Building Physics, Geotechnics, and Road Engineering divisions.