جستجوی استاد راهنمای دانشگاهی

• Trustworthy computing
• Energy harvesting
• Intelligent system design
• +۷ مورد دیگر

Youhua Shi is a full Professor in the Faculty of Science and Engineering at Waseda University, Japan. He obtained his Doctor of Engineering from Waseda in 2005 and is an active member of IEICE, IPSJ, IEEE, and two Japanese academic societies. His research portfolio integrates trustworthy computing, hardware security of AI accelerators, energy-harvesting interface circuits for triboelectric nanogenerators, and low-power VLSI design-for-test methodologies. Education: Doctor of Engineering, Waseda University (2005) Graduate studies, Waseda University, Division of Engineering (completed 2005) Research Interests: Prof. Shi pursues trustworthy and secure silicon systems, spanning hardware Trojans in automated AI-accelerator flows, radiation-hardened latch design for soft-error resilience, and power-efficient CNN accelerators exploiting zero-gating and data-reuse techniques. Parallel work targets energy-autonomous IoT through advanced interface circuits for triboelectric nanogenerators, achieving record energy-per-cycle beyond the classical CMEO limit. Publication Trends: Recent articles (2024-2025) emphasize two thrusts: (i) security of AI/FPGA accelerators—proposing stealthy hardware-Trojan frameworks embedded within design-space-exploration flows that can misclassify up to 97% of inputs—and (ii) power electronics for triboelectric harvesters—introducing dual-output rectifiers and Bennet-doubler biasing that multiply output power >150× over conventional full-wave rectifiers, enabling battery-free IoT nodes. Scientific Awards: APCCAS Best Student Paper Award – 2020 IEEK Best Paper Award – 2012 Students & Collaboration: He has mentored numerous doctoral and master’s scholars, including Yirui Su, Chao Guo, Jinghao Ye, Lin Ye, Saki Tajima, and Masaru Oya, many of whom serve as first authors on his high-impact publications, indicating an active and productive advising role. Labs & Teams: While the text does not name a specific laboratory, his continued affiliation with Waseda University’s Faculty of Science and Engineering and his extensive project output imply he leads a research group focused on secure & energy-efficient VLSI systems, collaborating closely with colleagues such as Prof. Masao Yanagisawa and Prof. Nozomu Togawa.

Mohammed Niamatمشاهده پروفایل

استاد

• Hardware Security
• FPGA Design
• Quantum-Dot Cellular Automata (QCA)
• +۴ مورد دیگر

Dr. Mohammed Niamat is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo, part of the College of Engineering. His research focuses on hardware security, FPGA design, quantum-dot cellular automata (QCA), cryptography, and smart grid infrastructure. He holds a primary appointment at the University of Toledo, with contact details at 2008 Nitschke Hall. Research interests include Built-in-Self Test (BIST), fault-tolerant hardware, secure FPGA supply chains, and role-based access control. His work emphasizes securing advanced metering infrastructure (AMI) and IoT systems through hardware-oriented authentication and PUF (Physical Unclonable Function) techniques. Key publication trends highlight advancements in FPGA security, machine learning countermeasures against PUF attacks, and blockchain-integrated frameworks for hardware trustworthiness. Recent projects address vulnerabilities in ring oscillator PUFs and lightweight cryptographic solutions for IoT. Dr. Niamat has contributed to over 40 publications since 1986, spanning topics from power system stabilizers to nanoscale QCA logic synthesis. His work bridges theoretical computing and practical applications in high-performance systems.

Naghmeh Karimiمشاهده پروفایل

دانشیار

• Hardware Security
• Design-for-Trust
• Fault Tolerance
• +۹ مورد دیگر

Naghmeh Karimi is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County (UMBC), where she has held this position since 2023, after serving as an Assistant Professor from 2017 to 2023. She is a recipient of the NSF CAREER Award (2020) and the Best Paper Award (2019). Her research focuses on hardware security, trustworthiness, and reliability of integrated circuits, with a particular emphasis on cryptographic devices, PUF-based authentication, and aging-related vulnerabilities. She directs the SECure, REliable and Trusted Systems (SECRETS) Lab at UMBC, which explores topics including hardware security countermeasures, fault tolerance, and AI-driven security solutions. Prior to UMBC, she was affiliated with Rutgers University, New York University, Duke University, and Yale University. Her research interests span hardware security, design-for-trust, fault tolerance, AI for security, and VLSI design. Recent work emphasizes aging effects on cryptographic circuits, PUF resilience, and digital sensor-based failure detection. Her publications address challenges in side-channel attacks, fault injection, and secure IoT frameworks. Dr. Karimi’s work is supported by sponsors, and she actively mentors Ph.D. students in hardware security and reliability. Her lab offers openings for self-motivated researchers in these areas.

• Functional Safety
• Safety Instrumented Systems (SIS)
• Cybersecurity in Industrial Systems
• +۵ مورد دیگر

Mary Ann Lundteigen is a Professor in instrumentation systems and safety at NTNU’s Department of Engineering Cybernetics, part of the Faculty of Information Technology and Electrical Engineering. She holds an MSc (1993) and PhD (2009) in Engineering Cybernetics from NTNU, with 15+ years of industry experience across Phillips Petroleum, Nidar AS, DNV, and SINTEF. She has led major research initiatives including SFI SUBPRO (2014–2023) and SFI Autoship (2019–2022), focusing on subsea production, autonomous ships, and cybersecurity for safety-critical systems. Her research emphasizes functional safety of industrial control systems, cybersecurity compliance with standards like IEC 62443, and the integration of AI in safety-critical environments. She leads projects such as APOS 2.0 (digital lifecycle management) and CyberBarrier Management, while supervising multiple PhD students and postdocs. Lundteigen co-authored over 100 publications and received the ExxonMobil Doctoral Prize (2009) for her thesis on SIS reliability. Professional roles include: Co-director of SFI SUBPRO Director of SFI Autoship’s initial phase Adjunct Professor at NTNU (2013) Member of IEC 61511 maintenance team and PDS forum organizing committee Current research focuses on: Cybersecurity threats to SIS AI applications in safety systems Digital twins for safety demonstration Industry 4.0 frameworks like OPC UA Her work bridges academia and industry, with active projects funded by the Norwegian Research Council and industrial partners like Equinor and DNV.

• Satellite Communications
• Signal Processing
• Quantum Key Distribution
• +۷ مورد دیگر

Juan Carlos Merlano Duncan is a researcher at the University of Luxembourg, affiliated with the Interdisciplinary Centre for Security, Reliability and Trust (SnT). His work focuses on satellite communications, signal processing, and synchronization techniques for distributed systems.

Vamsi Borraمشاهده پروفایل

استادیار

• 3D Electronics
• Flexible Electronics
• Thin-film Fabrication
• +۳ مورد دیگر

Dr. Vamsi Borra is an Assistant Professor in Electrical and Computer Engineering at Youngstown State University's Rayen School of Engineering. He holds a PhD from the University of Toledo (2017), an MS from YSU (2014), and a BS from Jawaharlal Nehru Technological University (2011). Prior to YSU, he held academic positions at California University of Pennsylvania and the University of Toledo, with industry experience at Valley Electrical Consolidated. His research spans 3D electronics, thin-film characterization, whisker growth mitigation, and additive manufacturing for antennas/batteries. Key innovations include laser microstructuring of metals and NiO sublayers for tin whisker suppression. Current projects explore THz devices and hardware security using machine learning. Publications demonstrate consistent focus on materials innovation and electronic systems, with recent work emphasizing scalable nanofabrication and energy applications. Trends include increased use of additive manufacturing (36% of recent papers) and interdisciplinary semiconductor research (42%). Distinguished Professorship for service (2025) IEEE Senior Membership (2022) PhD Dissertation of the Year (2018) He advises undergraduate projects in embedded systems and leads YSU's IEEE student chapter. Grants include NSF support for printed electronics and DoD-funded reliability testing. Labs include the Advanced Materials Characterization Facility and Additive Manufacturing Center, collaborating with Oak Ridge National Laboratory on battery thermal management.

Chongyan Guمشاهده پروفایل

مدرس ارشد

• Hardware Security
• Physical Unclonable Functions (PUFs)
• IoT Security
• +۴ مورد دیگر

Dr. Chongyan Gu is a Senior Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen’s University Belfast, part of the Faculty of Engineering and Physical Sciences. Her research focuses on hardware security, particularly Physical Unclonable Functions (PUFs), approximate computing vulnerabilities, and IoT device security. She leads the EPSRC New Investigator Award-funded project on Hardware Security for Approximate Computing and has secured industry collaborations with LG-CNS and defense companies. Dr. Gu has received notable awards including the INVENT2015 Overall Winner and Pramod Subramanyan Presentation Award. Her research has been commercialized, such as licensing PUF technology for EV charging systems and defense applications. She collaborates internationally through EU projects with Fraunhofer and ETRI. Dr. Gu serves as an IEEE Senior Member, Guest Editor for IEEE TCAS-I, and editorial roles for conferences like IEEE ISCAS and AsianHOST. She has delivered tutorials at ASP-DAC and HiPEAC, emphasizing practical PUF design and hardware security challenges. Key technical contributions include PUF-based authentication protocols, machine learning-resistant security solutions, and vulnerability analysis in approximate computing. Her work addresses emerging threats like Rowhammer attacks and hardware Trojans, leveraging graph attention networks for detection. Recent publications highlight advancements in RRAM-based PUFs, FPGA implementations, and defense mechanisms for modern DRAM systems.

Ahmed Ounمشاهده پروفایل

استادیار

• Cybersecurity
• Hardware-Assisted Security
• VLSI
• +۴ مورد دیگر

Dr. Ahmed Oun is an Assistant Professor in the School of Electrical Engineering and Computer Science (EECS) at Ohio University's Russ College of Engineering and Technology since 2024. Previously, he held faculty roles at Ohio Northern University and worked in the oil and gas industry as a Gas Turbine Controls NPI Engineer, Operation Control Room Supervisor, and Project Manager at General Electric International Inc. He earned his Ph.D. (2022) from the University of Toledo and a Master's degree (2012) from the University of Bridgeport. His research focuses on cybersecurity, hardware-assisted security for embedded systems, VLSI, IoT security, and machine learning applications in protecting computing systems against cyberattacks and hardware Trojans. Key interests include PUF-based authentication, FPGA security, and AI-driven threat detection. Recent publications emphasize AI's role in cybersecurity, IoT device protection, and intrusion detection systems. His work spans both theoretical advancements and applied solutions in secure communication and hardware vulnerability analysis. No scientific awards are explicitly listed, but his contributions include developing novel defense mechanisms and authentication protocols for embedded systems. Dr. Oun has advised no explicitly listed students or grants, though his industry experience and academic roles suggest involvement in collaborative research projects. His work contributes to advancing secure computing infrastructure and resilient IoT ecosystems.

Ozgur Sinanogluمشاهده پروفایل

استاد

• Hardware Security
• Integrated Circuit Design
• VLSI Circuits
• +۷ مورد دیگر

Ozgur Sinanoglu is a Professor of Electrical and Computer Engineering at New York University Abu Dhabi (NYUAD) and a Global Network Professor at NYU Tandon School of Engineering. He holds a B.S. in Electrical and Electronics Engineering and Computer Engineering from Bogazici University (1999), and an M.S. and Ph.D. in Computer Science and Engineering from UC San Diego (2001, 2004). His research focuses on hardware security, design-for-trust, and VLSI circuit reliability. Education: B.S., Electrical and Electronics Engineering & Computer Engineering, Bogazici University, 1999 M.S., Computer Science and Engineering, UC San Diego, 2001 Ph.D., Computer Science and Engineering, UC San Diego, 2004 Research Interests: Design-for-Security in VLSI circuits Logic locking and hardware obfuscation Hardware Trojans and side-channel attacks Secure chip manufacturing and testing His work has led to over 200 publications and 20 patents. He directs the NYUAD Center for Cybersecurity and the Design-for-Excellence Lab, funded by NSF, DoD, Intel, and Mubadala Technology. Awards include the NYUAD Distinguished Research Award (2021) and induction into the UAE's Mohammed bin Rashid Academy of Scientists (2021). Grants and Leadership: Lead PI on NSF and DoD-funded projects Directed ACM ASIACCS 2017 in Abu Dhabi Associate Editor for IEEE TIFS, TETC, and JETC Labs and Teams: Center for Cybersecurity (CCS) Design-for-Excellence Lab (DfX)

Dov Krugerمشاهده پروفایل

استاد آموزشی

• High Performance Computing
• Network Programming
• 3D Printing
• +۳ مورد دیگر

Dov Kruger is an Associate Teaching Professor in the Department of Electrical Engineering at Rutgers University. He holds a BE in Electrical Engineering, an MS in Computer Science, and a PhD in Ocean Engineering, all from Stevens Institute of Technology. Prior to Rutgers, he spent 10 years as a professor at Stevens. His research focuses on high-performance computing, network programming, 3D printing, and computing education. He explores re-engineering software for efficiency, distributed programming models, and innovations in data compression and secure networking. His work also encompasses underwater acoustics and sensor systems from earlier career phases. Key themes in his recent articles include real-time video processing, federated learning privacy, AI bias mitigation, and blockchain-based systems. His earlier contributions involved underwater robotics and environmental sensor networks in estuaries. Dr. Kruger seeks collaborators in FPGA, network programming, and 3D printing. He has no listed scientific awards but maintains active research in multidisciplinary computer science and engineering education.

Ramesh Karriمشاهده پروفایل

استاد

• Hardware Cybersecurity
• Trustworthy Integrated Circuits
• Cyber-Physical Systems Security
• +۶ مورد دیگر

Ramesh Karri is a Professor and Chair of the Electrical and Computer Engineering Department at New York University Tandon School of Engineering. He co-founded the NYU Center for Cyber Security (CCS) in 2009 and co-directed it from 2016-2024. He is also a Fellow of the IEEE and has led initiatives such as the Embedded Systems Challenge (ESC), a red-blue team cybersecurity competition. Education: Ph.D. in Computer Science and Engineering, University of California, San Diego (1993) B.E. in Electrical and Computer Engineering, Andhra University (1985) Research Focus: His work centers on hardware cybersecurity, including trustworthy integrated circuits, cyber-physical systems, nano-enabled security, and biochip security. He pioneered security-aware CAD tools and has developed metrics for hardware trojan detection through initiatives like the Trust-Hub. Awards & Leadership: Recipient of the Humboldt Fellowship and NSF CAREER Award Editor-in-Chief of ACM Journal of Emerging Computing Technologies Leadership roles at IEEE conferences (ICCD, HOST, DFTS) Grants & Labs: Directs the Center for Advanced Technology in Telecommunications (CATT) and NYU CCS. His labs focus on additive manufacturing security, digital microfluidic systems, and AI-driven hardware design.

Mostafizur Rahmanمشاهده پروفایل

استادیار

• Beyond CMOS Computing
• Nanoscale 3-D Integrated Circuits
• Neuromorphic Computing
• +۳ مورد دیگر

Mostafizur Rahman is an Assistant Professor in the School of Science and Engineering at the University of Missouri-Kansas City. His research focuses on nanoscale computing paradigms, including Beyond CMOS computing with emerging devices, neuromorphic systems mimicking mammalian brain functions, and 3-D integrated circuits with advanced thermal management. He holds a Ph.D. in Electrical and Computer Engineering from the University of Massachusetts Amherst. His expertise spans nanoscale 3-D integrated circuits, crosstalk-based computing architectures, and experimental prototyping of novel nanodevices. Key contributions include developing Skybridge-3D-CMOS technology for fine-grained 3-D integration and exploring crosstalk computing as a foundation for reconfigurable digital logic. He investigates thermally aware circuit design, addressing challenges in transistor-level 3-D integration and scalability. Research trends in his articles emphasize scalable crosstalk computing (7nm to 180nm nodes), FPGA security through bitstream analysis, and neuromorphic systems leveraging wave interference functions. His work bridges nanoscale device physics with system-level design, targeting applications in high-density, energy-efficient computing systems. No scientific awards are explicitly documented in the provided materials. Advising and grants details are not included, but his labs focus on experimental prototyping of nanoscale fabrics and advanced 3-D IC technologies.

Scott R. Grahamمشاهده پروفایل

استاد

• Cyber Physical Systems Security
• Computer Architecture
• Hardware Security
• +۶ مورد دیگر

Dr. Scott R. Graham is the Dean for Research and Professor of Computer Engineering at the Air Force Institute of Technology . He earned his Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign (2004), M.S. in Electrical Engineering from AFIT (1999), and B.S. in Electrical Engineering from Brigham Young University (1993). Senior Member, IEEE (2011) Recipient of multiple awards including AETC Outstanding Scientist/Engineer (2022), AFIT Advising & Mentoring Award (2020), and AF Science & Engineering Team Awards (2010-2011) Active researcher in cyber physical systems security with 30+ peer-reviewed publications His research focuses on cyber physical systems security , computer architecture , and embedded computing . Key areas include hardware security, networked control systems, and security by design principles. Recent work examines microarchitectural monitoring for task identification, ransomware mitigation in critical infrastructure, and secure communication protocols for autonomous systems. Publications reveal trends in cybersecurity (20+ papers), embedded systems (10+ papers), and network security (15+ papers). Common subfields include hardware vulnerability analysis, RISC-V security, UAV threat modeling, and networked control system resilience. Scientific achievements include: Tau Beta Pi (1998) and Eta Kappa Nu (1998) honors IEEE Senior Member (2011) Air Force and AETC awards for research excellence Dr. Graham has advised numerous students, evident from 25+ publications with * (Master's) and ^ (PhD) student co-authors. His work impacts unmanned aerial vehicle security , smart grid protection , and cyber-physical system resilience across defense applications.

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.

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.