جست‌وجوی استاد و پژوهشگر

Farshad Firouziمشاهده پروفایل

استادیار مدعو

• Edge Computing
• Internet of Things (IoT)
• Artificial Intelligence
• +۴ مورد دیگر

Farshad Firouzi serves as an Adjunct Assistant Professor in the Department of Electrical and Computer Engineering at Duke University, where he teaches EGR 393: Research Projects in Engineering. His academic work bridges hardware and software domains with a strong emphasis on practical applications in critical systems. His research spans Edge Computing, Internet of Things (IoT), Artificial Intelligence, Machine Learning, Healthcare Systems, Chip Design, and Reliability Engineering. This interdisciplinary focus manifests in projects ranging from Parkinson's disease monitoring using edge devices to LLM-enhanced chip design and security-hardened neural networks. His work consistently addresses real-world challenges in system dependability, particularly in healthcare and biomedical contexts where failure is not an option. Analysis of his 2024-2025 publications reveals three dominant research thrusts: (1) LLM applications in hardware design (ChipMnd, Spiced), (2) Edge-based healthcare monitoring systems (freezing of gait recognition, blood glucose prediction), and (3) Security and reliability in AI/ML systems (gradient inversion defense, silent data corruption mitigation). His work demonstrates a clear trajectory toward integrating cutting-edge AI techniques with hardware-aware solutions for mission-critical applications. No scientific awards were mentioned in the source materials. The absence of student listings or grant information suggests his current role may be primarily research-focused without formal advising responsibilities. Similarly, no dedicated labs or research teams were referenced in the available documentation.

Amin Rezaeiمشاهده پروفایل

استادیار

• Computer Security
• Machine Learning
• Computer Architecture
• +۳ مورد دیگر

Amin Rezaei is an Assistant Professor in the Department of Computer Engineering and Computer Science at California State University, Long Beach (CSULB). He directs the Computer Architecture, Reliability, and Security Laboratory (CARS-Lab) and serves as the undergraduate advisor for Computer Engineering. His expertise spans computer security, machine learning, and computer architecture, with a focus on hardware security and protecting hardware intellectual property. Rezaei holds a Ph.D. in Computer Engineering from Northwestern University. He is a senior member of IEEE and a lifetime member of ACM and AAAI. His research has been funded by NSF grants totaling $500,000, and he has published over 50 peer-reviewed articles in top venues like DAC, ICCAD, and DATE. He has also served on technical program committees for major conferences such as IPDPS and GLSVLSI. His research interests include hardware security, machine learning applications in secure systems, and novel logic locking techniques. Key projects include developing CycPUF (a cyclic physical unclonable function) and frameworks for detecting hardware Trojans using multimodal deep learning. His lab emphasizes democratizing research by publicly sharing source code. Education: Ph.D. in Computer Engineering, Northwestern University Awarded Academic Excellence Award, University of Louisiana at Lafayette Awards: Walter P. Murphy Fellowship, Northwestern University Royal E. Cabell Fellowship, Northwestern University Grants: NSF CISE-MSI and CRII programs. Rezaei’s advising focuses on undergraduate Computer Engineering students, with Spring 2025 hours on Zoom. His lab’s current research includes projects on hardware Trojan prediction, ML-based security evaluations, and dynamic logic locking.

Paolo Palmieriمشاهده پروفایل

مدرس ارشد

• Cryptography
• Privacy Enhancing Technologies
• Internet of Things Security
• +۴ مورد دیگر

Dr. Paolo Palmieri is a Senior Lecturer in Cyber Security at the University College Cork (UCC) , affiliated with the School of Computer Science & IT . He serves as a Funded Investigator in Insight and CONNECT research centers, Supervisor in ADVANCE and AI Centres for Research Training, and co-Investigator in DTIF-Holistics and SFI-Spoke on Blended Autonomous Vehicles . PhD in Cryptography (2013), Université catholique de Louvain Prior positions: Lecturer at Cranfield University and Bournemouth University (UK), Post-Doctoral Researcher at Delft University of Technology (Netherlands) Research spans cryptography, privacy, and security , with focus on: Secure multi-party computation Homomorphic encryption Location privacy mechanisms Spatial Bloom filters Smart city security Blockchain applications in IoT Recent publications highlight advancements in blockchain-based healthcare authentication , privacy-preserving vehicular networks , and homomorphic encryption for sentiment analysis . He chairs Malicious Software and Hardware in Internet of Things (Mal-IoT) and Location Privacy Workshop (LPW) . Active in PhD supervision , he currently advises students in cryptographic protocols for location-based services. Collaborates with Smart City Lab at the University of Bologna and participates in international research networks .

Yuntao Liuمشاهده پروفایل

استادیار

• Computer Engineering
• Hardware Security
• VLSI Supply Chain Vulnerabilities
• +۳ مورد دیگر

Yuntao Liu is an Assistant Professor in the Department of Electrical and Computer Engineering at Lehigh University. His research focuses on hardware security, including quantum circuit security, logic locking mechanisms, VLSI supply chain vulnerabilities, and defense strategies against hardware-based attacks. He is affiliated with Packard Laboratory and can be reached at yule24@lehigh.edu. His research interests span cutting-edge topics such as quantum circuit obfuscation, hardware IP protection, and securing emerging fabrication technologies. He explores both theoretical frameworks and practical implementations to enhance hardware resilience against adversarial attacks. Recent publications highlight advancements in quantum logic locking (QLL), post-synthesis obfuscation techniques like POTENT, and red teaming methodologies for design validation. His work bridges hardware security with machine learning defense mechanisms, addressing threats in neural networks and deep learning models. No scientific awards or grants are explicitly listed in the provided text. Yuntao Liu’s contributions emphasize co-design approaches for heterogeneous integration and mitigating vulnerabilities in 3D ICs. His research also investigates timing-based attacks and side-channel vulnerabilities in modern hardware systems.

Johanna Baehrمشاهده پروفایل

پژوهشگر

• Hardware Reverse Engineering
• Hardware Security
• Netlist Analysis
• +۴ مورد دیگر

Johanna Baehr is a researcher at the Chair of Information Security at the Technical University of Munich . Her work focuses on hardware security, reverse engineering, and threat detection. She contributes to academic research and teaching, particularly in the area of IT security fundamentals. Research Interests: Hardware reverse engineering, netlist analysis, hardware trojan identification, and hardware obfuscation. Teaching: Basics of IT security. Recent publications analyze hardware security frameworks, obfuscation techniques, and graph-based partitioning algorithms. Her work addresses vulnerabilities in sequential reverse engineering and cryptographic cores through structural interpretation. She collaborates with colleagues like Alexander Hepp and Georg Sigl on hardware security challenges. Publications: Hardware Honeypot: Setting Sequential Reverse Engineering on a Wrong Track (2024) Fault-Simulation-Based Flip-Flop Classification for Reverse Engineering (2024) Open Source Hardware Design and Hardware Reverse Engineering: A Security Analysis (2022) Post-Quantum Logic Locking (2022)

• Corporate Law
• Commercial Law
• Intellectual Property
• +۵ مورد دیگر

Silvia Scalzini is an Associate Professor at the Department of Economics and Business, University of Parma. She specializes in Corporate and Commercial Law, Intellectual Property, and EU Regulatory Frameworks, with a focus on blockchain technology, sustainability reporting, and digital markets. Her teaching includes courses on Italian and European Corporate Law and Marketing Law for Economics and Management programs. Corporate Sustainability Reporting Directive (CSRD) compliance Agri-food blockchain applications Competition law in digital markets Intellectual property and data-driven innovation EU copyright remedies and press publisher rights Her recent research explores the intersection of blockchain technology with intellectual property and supply chain transparency, alongside regulatory challenges in EU digital markets. She has contributed to debates on sustainability reporting, competition law, and data ethics in academic studies. Her publications span topics including economic dependence in digital markets, EU copyright misuse doctrines, and legal frameworks for emerging technologies. She has collaborated with researchers like Erica Adamo and Emanuela Maio on blockchain applications in agri-food sectors.

• Cybersecurity
• Cyber-physical systems security
• Social network analysis
• +۷ مورد دیگر

Andrey Chechulin is a Professor at the St. Petersburg Federal Research Center of the Russian Academy of Sciences, Institute of Informatics Problems, where he leads research in cybersecurity within the Information Security Department. His work spans over 15 years with more than 80 publications in top-tier security conferences and journals. Dr. Chechulin's primary research interests include cybersecurity, cyber-physical systems security, social network analysis, and bot detection. His work focuses on developing practical methodologies for incident investigation, access control, and vulnerability assessment. He has pioneered approaches for analyzing social media bots, particularly on the VKontakte platform, and developed innovative frameworks for cryptocurrency transaction anomaly detection using neural networks. His publication record shows consistent contributions to major security venues including PDP, COMSNETS, and Sensors, with a notable increase in output since 2018. Recent work demonstrates his adaptation to emerging security challenges in AI-generated content detection and blockchain security. Best Paper Award at PDP 2021 Cybersecurity Research Excellence Award (2019) Dr. Chechulin maintains strong collaborative relationships with Igor V. Kotenko (60 joint publications), Dmitry Levshun, and Maxim Kolomeets. His research often bridges theoretical security concepts with practical implementations for real-world systems, including smart city infrastructure and automotive security applications.

Farinaz Koushanfarمشاهده پروفایل

استاد

• Hardware Security
• Integrated Circuit Security
• Physical Unclonable Functions
• +۵ مورد دیگر

Farinaz Koushanfar is a Professor in the Electrical Engineering and Computer Science department at the University of Michigan's College of Engineering. With an impressive h-index of 65 and over 27,000 citations, she has established herself as a leading researcher in hardware security and privacy-preserving computing. Her research interests span hardware security, integrated circuit protection, physical unclonable functions, hardware trojans, logic locking, and privacy-preserving machine learning. Koushanfar's work addresses critical security challenges throughout the semiconductor supply chain, developing innovative solutions for IP protection, anti-counterfeiting, and secure hardware design. Analysis of her recent publications reveals a strong focus on the intersection of hardware security and machine learning, particularly in federated learning security and privacy-preserving deep neural network inference. Her research shows a clear trajectory from foundational hardware security mechanisms toward more complex systems-level security challenges in emerging computing paradigms. Throughout her career, Koushanfar has made significant contributions to both theoretical frameworks and practical implementations in hardware security, with numerous highly influential publications that have shaped the field.

Mark Yampolskiyمشاهده پروفایل

دانشیار

• Cybersecurity
• Additive Manufacturing Security
• Internet of Things (IoT)
• +۴ مورد دیگر

Mark Yampolskiy is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University's Samuel Ginn College of Engineering. His research focuses on cybersecurity in additive manufacturing (AM), internet of things (IoT), and computer networks. Yampolskiy leads efforts to secure AM processes against cyber-physical attacks, including sabotage and data theft. He has received prestigious awards such as the ASTM International Additive Manufacturing Young Professor Award and led high-profile grants totaling over $685,000. Education: Ph.D. in Computer Science, Ludwig Maximilian University M.S. in Computer Science, Technical University Munich B.S. in Applied Mathematics, Moscow State Institute of Radiotechnics, Electronics and Automation Research Interests: Cybersecurity of digital & additive manufacturing IoT security and network defense Cyber-physical system vulnerabilities 3D printing integrity and sabotage detection Key Contributions: Developed frameworks for AM security awareness and threat modeling Pioneered studies on side-channel attacks in manufacturing Co-organized ASTM AM Security Working Groups and AMSec workshops Advocated for legal standards in AM intellectual property protection Awards: ASTM International Additive Manufacturing Young Professor Award America Makes Award ($260k+ for cybersecurity training) NSF Grant ($425k for sabotage prevention research) Labs/Initiatives: Active in Auburn's National Center for Additive Manufacturing Excellence (NCAME), McCrary Institute for Cyber and Critical Infrastructure Security.

Daniel Holcombمشاهده پروفایل

دانشیار

• Embedded Systems Security
• Hardware Security
• Formal Verification
• +۳ مورد دیگر

Daniel Holcomb is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst, part of the College of Engineering. He specializes in secure and reliable embedded systems, with research interests spanning embedded systems security, hardware security, formal verification, VLSI design, and cryptography. Education : B.S. Electrical & Computer Engineering, University of Massachusetts (2005) M.S. Electrical & Computer Engineering, University of Massachusetts (2007) Ph.D. Electrical Engineering and Computer Sciences, University of California, Berkeley (2013) His research focuses on mitigating hardware vulnerabilities in FPGAs and chiplet-based systems, including countermeasures against side-channel attacks, voltage attacks, and IP theft via reverse engineering. He has contributed to the development of secure design methodologies, PUF-based authentication, and fault-resistant cryptographic implementations. His publications highlight advancements in FPGA security, such as defeating memory protection units (MPUs), preventing trojan insertion during fabrication, and mitigating power distribution attacks in multi-tenant environments. Holcomb is an active member of IEEE and Tau Beta Pi Honor Society. Labs & Teams : His work aligns with the College of Engineering’s research strengths in hardware security, including collaborations with labs focused on embedded systems and VLSI design.

Siddhartha Dattaمشاهده پروفایل

پژوهشگر ارشد

• Distributed Machine Learning
• Model Adaptation
• Cybersecurity
• +۴ مورد دیگر

Siddhartha Datta is a Researcher at the University of Oxford's Department of Computer Science, specializing in distributed machine learning and adaptive systems. His research develops end-to-end solutions for model training, security, and deployment. Key research areas include: Adaptive learning algorithms for dynamic environments Defense mechanisms against adversarial attacks Human-centered AI interfaces and tools Cross-reality systems blending digital/physical spaces Efficient model compression techniques Current projects investigate prompt engineering for generative models, online learning under data drift, and 3D object detection refinement. His work combines theoretical frameworks with practical implementations, resulting in tools like GreaseTerminator for digital sovereignty and DeepObfusCode for source protection. Datta has collaborated with Google and Cornell University during his doctoral studies. His open-source contributions include neurocogpy (ECoG processing) and Polysemy Word Tagging Tool, demonstrating commitment to accessible research tools.

• Wireless Communications
• Information Theory
• Network Security
• +۶ مورد دیگر

Stephen B. Wicker is a Professor at Cornell University's College of Engineering with a distinguished research career spanning over three decades. His work has significantly impacted the fields of wireless communications, information theory, privacy, and security. Wicker has published extensively in top-tier journals and conferences, demonstrating consistent scholarly productivity from the early 1990s through 2021. His research interests include: Wireless network security and privacy Information theory and error control coding Location-based services and privacy implications Digital rights management and consumer protection Blockchain applications for IoT environments Ethical considerations in technology development Legal implications of digital technologies Wicker's recent publications reveal a strategic evolution in his research focus, increasingly addressing the intersection of technical systems with legal and ethical considerations. His work on smartphone privacy and the Fifth Amendment, eBook surveillance, and zero-day exploits demonstrates his unique ability to bridge technical expertise with societal implications. This interdisciplinary approach has positioned him as a thought leader in understanding how technological capabilities intersect with constitutional rights and civil liberties. His scholarly impact is evident through his extensive collaboration network, with significant work alongside researchers like Kolbeinn Karlsson on blockchain for IoT applications, Dipayan P. Ghosh on eBook privacy issues, and Shion Guha on social surveillance in location-based networks. His research has appeared in prestigious venues including Communications of the ACM, IEEE Proceedings, and IEEE Transactions on Information Theory. Wicker has mentored numerous students who have become productive researchers in their own right, including Xiao-an Wang, Hazer Inaltekin, and Kolbeinn Karlsson, who frequently appear as co-authors on his publications. His work continues to address emerging challenges at the intersection of technology, law, and society, making significant contributions to both academic discourse and public policy discussions.

• Trusted Execution Environments
• Hardware-Software Boundary Security
• Microarchitectural Side-Channel Attacks
• +۵ مورد دیگر

Jo Van Bulck is an Assistant Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Science, where he leads research in the Distributed and Secure Software (DistriNet) lab. His work focuses on security at the hardware-software boundary, particularly examining trusted execution environments and microarchitectural side-channel vulnerabilities. Dr. Van Bulck completed his Master's thesis on 'Secure Resource Sharing for Embedded Protected Module Architectures' at KU Leuven in 2015, receiving both the VASCO and BELCLIV thesis awards. He earned his PhD in 2020 with the dissertation 'Microarchitectural Side-Channel Attacks for Privileged Software Adversaries,' which received multiple prestigious awards including the ACM SIGSAC Doctoral Dissertation Award, ERCIM STM PhD Award, and FWO/IBM Innovation Award. His research primarily investigates vulnerabilities in trusted execution environments like Intel SGX, with seminal work on attacks such as Foreshadow, LVI, and ZombieLoad. His publications consistently appear in top security venues including IEEE S&P, USENIX Security, and ACM CCS. His research group has made significant contributions to understanding memory isolation failures, interrupt handling vulnerabilities, and developing principled approaches to validate enclave security properties. Dr. Van Bulck's work has profoundly impacted both academia and industry, with multiple CVE assignments for discovered vulnerabilities and direct influence on hardware and software security practices. His recent research focuses on extending security principles to low-end microcontrollers and developing automated validation frameworks for trusted execution environments. ACM SIGSAC Doctoral Dissertation Award (2021) FWO/IBM Innovation Award (2021) ERCIM WG STM Best Ph.D. Thesis Award (2021) Best Paper with Artifacts Award (SysTEX 2025) Distinguished Paper Award (EuroS&P 2025) Cybersecurity Artifacts Competition and Impact Award (ACSAC 2023) Dr. Van Bulck advises multiple PhD students including Márton Bognár (completed 2025) and Fritz Alder (completed 2023), and regularly supervises numerous master's theses. He leads several major research projects including 'Cross-Layer Systems Security for Trusted Execution Environments' (2025-2029) and 'Trustworthy Execution Environments for Secure Computing' (2024-2029). His research has been supported by competitive funding from KU Leuven and collaborative industry partnerships. As a member of the Council of the Faculty of Engineering Science, Dr. Van Bulck actively contributes to academic governance. He maintains the DistriNet research group's focus on practical security research with real-world impact, evidenced by numerous open-source contributions including the influential SGX-Step framework. His work bridges theoretical security principles with practical implementation challenges in modern computing systems.

Mark M. Tehranipoorمشاهده پروفایل

استاد

• Hardware Security
• IoT Security
• Electronics Supply Chain Security
• +۳ مورد دیگر

Mark M. Tehranipoor is the Sachio Semmoto ECE Department Chair and the Intel Charles E. Young Preeminence Endowed Chair Professor in Cybersecurity at the University of Florida's Herbert Wertheim College of Engineering. He leads the Department of Electrical & Computer Engineering and co-founded major initiatives like the IEEE International Symposium on Hardware-Oriented Security and Trust (HOST), IEEE AsianHOST, and IEEE PAINE. His research focuses on hardware security, IoT security, and VLSI design, with over 650 publications and 25 patents. Education: PhD, Electrical Engineering, University of Texas at Dallas (2004) MS, Electrical Engineering, University of Tehran (2000) BS, Electrical Engineering, Tehran Polytechnic University (1997) Research Interests: His work addresses hardware security vulnerabilities, supply chain integrity, and trustworthy microelectronics. Notable contributions include developing methodologies for secure IC design, electromagnetic side-channel analysis, and countermeasures against hardware Trojans. Awards: He is a Fellow of IEEE, ACM, and the National Academy of Inventors (NAI). Honors include the 2023 SRC Aristotle Award, 2018 IEEE HOST Hall of Fame, and multiple best paper awards. His leadership roles include directing the Florida Institute for Cybersecurity Research (2015–2022) and co-directing the AFOSR/AFRL CYAN Center and National Microelectronic Security Training Center (MEST). Grants & Advising: His projects are funded by 50+ organizations, including NSF and industry partners. He advises graduate students and leads interdisciplinary teams in hardware assurance, with a focus on transitioning research to industry through Edaptive Computing Inc. Transition Center (ECI-TC). Labs & Initiatives: Directs centers like MEST and CYAN, advancing secure hardware design practices. He also co-founded the Journal on Hardware and Systems Security (HaSS) and led the development of the NSF-funded Trust-Hub platform for hardware security resources.

Ruimin Sunمشاهده پروفایل

استادیار

• Cybersecurity
• AI Security
• Embedded Systems Security
• +۷ مورد دیگر

Ruimin Sun is an Assistant Professor in the School of Computing and Information Science at Florida International University (FIU), where she joined in 2022. She previously served as a Postdoctoral Researcher at the Secure Systems Lab (seclab) at Northeastern University and earned her Ph.D. from the Florida Institute for Cybersecurity (FICS) at the University of Florida in 2019 under Dr. Daniela Oliveira. Her research focuses on securing AI applications, embedded systems, industrial control systems, and improving software reliability. She leads projects funded by the National Science Foundation (NSF) and the Department of Homeland Security (DHS), including the ADMIRE Center and the Secure Machine Learning Inference in IoT-driven Analytical Scientific Infrastructure project. NSF CICI: Secure Machine Learning Inference in IoT-driven Analytical Scientific Infrastructure DHS: ADvanced education and research for Machine learning-driven critical Infrastructure REsilience (ADMIRE) Center NSF CITES: Trustworthy Lifecycle Modeling of CPS using Formal Methods Her recent publications in top venues such as IEEE S&P, USENIX Security, and NDSS highlight trends in securing on-device machine learning, fuzz testing for embedded systems, and defending industrial control systems using adaptive AI and formal methods. Her work bridges theoretical rigor with practical deployment in critical infrastructure and mobile platforms. She has received scientific recognition including the GREPSEC II Travel Award and Best Poster Awards at the Warren B. Nelms Annual IoT Conference. She also serves on the program committees of premier security conferences including USENIX Security, CCS, and EuroS&P, and has co-chaired the RICSS workshop. Ruimin Sun actively advises students across all levels, from K-12 to Ph.D., fostering a diverse and talented research group. Her lab emphasizes hands-on cybersecurity education and innovation in secure AI and embedded systems.