جست‌وجوی استاد و پژوهشگر

Georg Siglمشاهده پروفایل

استاد

• Hardware Security
• Cryptography
• Embedded Systems Security
• +۶ مورد دیگر

Prof. Dr.-Ing. Georg Sigl is a Professor of Information Technology Security at the Technical University of Munich (TUM) and Director of the Fraunhofer Institute for Applied and Integrated Security (AISEC). His research focuses on hardware security, including secure embedded systems design and hardware attack analysis. He holds a doctorate in design automation from TUM (1992) and has extensive industry experience at Siemens and Infineon, where he led chip card platform development. Notable achievements include award-winning chip card controllers (SLE88/SLE78) and foundational contributions to tamper-resistant hardware. Education: Doctorate in Design Automation, Technical University of Munich (1992) Diploma in Electrical Engineering, Technical University of Munich Research interests include hardware security, cryptographic implementations, physical unclonable functions (PUFs), post-quantum cryptography, and defense against invasive/side-channel attacks. His work bridges academic research and industrial applications, emphasizing practical security solutions for embedded systems and IoT. Awards: Best Paper Award at IEEE HOST 2018 Sesames Award 2008 (SLE78 chip card) Sesames Award 2001 (SLE88 chip card) Rohde & Schwarz Prize 1993 (Dissertation) Leadership: Founded TUM's Chair of Information Security (2010) Director of Fraunhofer AISEC Labs/Teams: Chair of Information Security at TUM collaborating closely with Fraunhofer AISEC, focusing on advanced security research and industry partnerships.

• Electronics
• Semiconductor Devices
• CMOS Technology
• +۳ مورد دیگر

Tatjana Pešić-Brđanin is a Full Professor at the Department of Electronics, Faculty of Electrical Engineering, University of Banja Luka. Her research focuses on semiconductor device physics, SPICE modeling, and integrated circuit design, with applications in low-power CMOS systems and audio engineering. She holds a permanent academic position and actively contributes to microelectronics education through textbooks like Analog Integrated Circuits and Introduction to Electronics . Her research encompasses: Semiconductor device modeling (MOSFETs, FinFETs) SPICE simulations for radiation effects and circuit reliability Design of energy-efficient audio amplifiers (Class AB/D) Signal processing for speech intelligibility Publications (2012–2018) emphasize semiconductor device optimization, audio circuit efficiency, and low-voltage CMOS design, reflecting a blend of theoretical modeling and applied engineering. No awards, grants, or supervised students are documented in the source material.

• Computer Security
• Operating Systems
• Hardware Security
• +۳ مورد دیگر

C Giuffrida is an Associate Professor at the Faculty of Science, Vrije Universiteit Amsterdam, with affiliations to the Network Institute and the Systems and Network Security group. His research focuses on computer systems security, hardware vulnerabilities, and software reliability. Giuffrida holds a PhD in Computer Systems from Vrije Universiteit Amsterdam (2014). His academic contributions span multiple areas including transient execution attacks, fuzzing techniques, and hardware-software co-design for security. Research Interests: Hardware Security: Investigating vulnerabilities like Spectre, Rowhammer, and speculative execution risks. Software Security: Focusing on memory safety, compiler optimizations, and exploit mitigation strategies. Systems Research: Developing tools like BinRec for binary analysis and VPS for C++ vulnerability protection. His work has been recognized with awards such as the Distinguished Paper Award in 2021. Giuffrida supervises advanced courses in operating systems and hardware security, and has guided 16 PhD theses to completion.

Niraj Jhaمشاهده پروفایل

استاد

• Smart Healthcare
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Niraj Jha is a Professor of Electrical and Computer Engineering at Princeton University, affiliated with the School of Engineering and Applied Science. He joined Princeton in 1987 and became a full professor in 1998. His research focuses on smart healthcare, machine learning algorithms, IoT security, and neuro-symbolic AI. He leads projects in wearable medical sensors for disease detection, transformer synthesis, and cybersecurity for cyber-physical systems. Jha has authored/co-authored over 480 papers, 25 patents, and multiple books, including Testing and Reliable Design of CMOS Circuits and Nanoelectronic Circuit Design . He has received prestigious awards like the ACM and IEEE Fellowships, and the Distinguished Alumnus Award from IIT Kharagpur. Education: Ph.D., University of Illinois at Urbana-Champaign, 1985 M.S., State University of New York at Stony Brook, 1982 B.Tech., Indian Institute of Technology Kharagpur, 1981 Research Interests: Jha’s work bridges AI, hardware design, and healthcare. Key areas include: Predictive healthcare via wearable sensors and ML ensembles Transformer acceleration for edge computing Cybersecurity for IoT and 5G systems Neuro-symbolic AI for small-data learning Optimization via reinforcement learning His lab explores body-area networks, synthetic control for clinical trials, and energy-efficient architectures. Publications & Awards: Over 20 papers have won best paper awards. Notable recognitions include the Princeton Graduate Mentoring Award (2004) and the 2025 ACM recognition for Learning Interpretable Differentiable Logic Networks . Advising & Labs: Jha advises graduate students on topics like neural architecture search (e.g., FlexiBERT) and healthcare AI (e.g., DOCTOR framework). He directs the Andlinger Center for Energy and the Environment and has led the Center for Embedded System-on-a-Chip Design. His lab collaborates on projects like SHF: Small grants for transformer synthesis and NSF-funded initiatives. Labs & Teams: Active in Princeton’s Global Health Initiative and collaborates across disciplines, including robotics and data science. His research group develops tools like CODEBench (co-design frameworks) and TUTOR (decision-rule-based ML).

• Network Security
• Android Security
• Cloud Computing Security
• +۷ مورد دیگر

Manoj Singh Gaur is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India. With a publication record spanning over two decades from 2003 to present, he has established himself as a prominent researcher in computer security and architecture. His work primarily focuses on network security, Android security, and Network-on-Chip architectures, with extensive collaborations with researchers from institutions worldwide including University of Padua (Italy), University of Southampton (UK), and other Indian institutions. Dr. Gaur's research interests encompass a broad spectrum of cybersecurity challenges, particularly in mobile and cloud environments. His work addresses critical issues such as Android malware detection, information leakage prevention, DDoS mitigation in cloud environments, and secure deduplication techniques. In computer architecture, he has made significant contributions to Network-on-Chip design, fault tolerance mechanisms, and power-efficient router microarchitectures. His research methodology often combines theoretical analysis with practical implementation, resulting in solutions that address real-world security and performance challenges. Analysis of his recent publications (2020-2023) reveals a continued focus on mobile security, particularly Android application security, with numerous papers on vulnerability detection, permission analysis, and information leakage prevention. Simultaneously, his work in Network-on-Chip architectures demonstrates sustained interest in fault-tolerant routing algorithms and performance optimization for multi-core systems. The interdisciplinary nature of his research, bridging security and architecture concerns, represents a distinctive contribution to the field. Dr. Gaur has mentored numerous students who have co-authored publications with him, indicating an active research group focused on cutting-edge security and architectural challenges. His collaborative approach is evident in the diverse set of co-authors spanning multiple continents, reflecting international recognition of his expertise.

Yiorgos Tsiatouhasمشاهده پروفایل

استاد

• Analog and Digital VLSI Design
• Integrated Circuit Reliability
• Secure Computing Systems
• +۴ مورد دیگر

Yiorgos Tsiatouhas is a Professor in the Department of Computer Science and Engineering at the University of Ioannina. He holds a B.Sc. in Physics (University of Athens, 1990), M.Sc. in Informatics and Telecommunications (University of Athens, 1993), and Ph.D. in Informatics and Telecommunications (University of Athens, 1999). His research focuses on VLSI circuit design, reliability engineering, and secure computing. He teaches courses such as 'Electronics' (MYY404), 'VLSI Circuits' (MYE018), and 'Reliable Integrated Systems' (Y2), emphasizing topics like CMOS technology, radiation-hardened electronics, and testing methodologies. His research interests span secure computing architectures, fault-tolerant systems, and aging monitoring in integrated circuits. Recent work includes developing radiation-hardened latches, PUF-based security solutions for SoCs, and novel testing algorithms for phase-change memories. He has also contributed to visible light communication (VLC) systems, addressing challenges like anti-reflective obstacle detection and adaptive signal decoding in non-line-of-sight (NLOS) environments. Teaching activities include supervising student projects, maintaining an active lab for SPICE-based circuit simulation, and integrating industry-standard tools like Cadence into coursework. His lab focuses on designing and testing analog/digital circuits, emphasizing practical skills in SPICE simulation and layout design.

• High-Energy Physics Detectors
• Digital System Design (FPGAs)
• Sensor Systems and Networks
• +۳ مورد دیگر

Roles & Affiliations: Kyriakis-Bitzaros Efstathios is a Lecturer in the Department of Electrical and Electronic Engineering at the University of West Attica, part of the School of Engineering. He is affiliated with the Electronics and Computer Technologies Laboratory (ECTLab) and teaches courses like Digital System Design and Operating Systems. His office is located at ZB206, Building Z, Ancient Eleonas Campus. Holds a PhD in Electrical Engineering and a Physics degree from the University of Patras (1994 and 1987, respectively). Research Interests: Focuses on high-energy physics detector electronics, FPGA-based digital systems, sensor array interfaces, energy harvesting for microcontrollers, and optoelectronic interconnects. His work includes contributions to the ATLAS experiment at CERN, including the New Small Wheel detector and MicroMegas electronics. Publications Overview: Over 30 publications spanning topics like high-luminosity LHC upgrades, reconfigurable embedded systems, and optoelectronic simulations. Recent work includes advancements in detector electronics for CERN experiments and energy-efficient sensor networks. Labs & Teams: Leads the ECTLab, focusing on electronics and computer technologies. Collaborates on projects like the ATLAS detector upgrades and smart sensor systems.

Hongmei Dangمشاهده پروفایل

دانشیار

• VLSI
• Nanotechnology
• Solar Cell Efficiency
• +۳ مورد دیگر

Hongmei Dang, Ph.D., is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at the University of the District of Columbia (UDC). She holds a Doctor of Philosophy and specializes in VLSI and nanotechnology, with a focus on improving solar cell efficiency and nanotechnology education. Her roles include teaching courses like Electronics I and II, and she has served on committees such as the Undergraduate Study and Graduate Research Committee at UDC since 2016. Dr. Dang's research spans nanotechnology applications in solar energy, semiconductor device design, and materials science. She has secured significant grants, including NSF Major Research Instrumentation grants and a DOE MSRDC grant. Notably, she received the 2024 Excellence in Funding award from UDC. Her leadership roles include serving as a Grant Panel Reviewer for the Department of Energy (DOE) and membership in the American Semiconductor Academy. Her work emphasizes interdisciplinary approaches, combining computational modeling with experimental material science. Dr. Dang has authored over a dozen peer-reviewed publications since 2012, focusing on topics like CdS nanowire solar cells, perovskite solar cell stability, and nanotechnology education strategies. Her research often addresses real-world challenges in renewable energy and sustainable materials. Grants: DOE MSRDC (2022), NSF MRI (2020), Apple HBCU Initiative (2021) Leadership: DOE Grant Panel Reviewer (2022), Member of ECE Department (2019–2022)

Jens Lienigمشاهده پروفایل

استاد

• Electronic Design Automation
• Electromigration
• 3D Integrated Circuit Design
• +۵ مورد دیگر

Jens Lienig has been a Professor at Technische Universität Dresden since 2002, where he directs the Chair of Development and Design of Precision Engineering and Electronics. His research spans Electronic Design Automation (EDA), electromigration analysis, 3D IC design, constraint-driven methodologies, and precision device development. He holds memberships in IEEE, VDE/VDI GMM, and technical committees, and has led conferences like ISPD 2021 as General Chair. Research interests focus on: Reliability Engineering : Electromigration-aware IC design, thermal/stress modeling in interconnects. Advanced Design Automation : 3D physical design algorithms, analog layout generators, constraint propagation. Precision Devices : MEMS sensors, peristaltic pumps, SAW motors, pyroelectric detectors. Recent articles (2019–2025) emphasize electromigration robustness, aerosol sensor signal processing, and open-source EDA tools. Over 15 doctoral students have completed under his supervision, including dissertations on electromigration, MEMS, and infrared sensors.

Shoba Krishnanمشاهده پروفایل

استاد

• Analog and Mixed-Signal Integrated Circuit Design
• High-Speed Data Communication Systems
• Clock and Data I/O Circuits
• +۴ مورد دیگر

Shoba Krishnan is a Professor in the Department of Electrical and Computer Engineering at Santa Clara University's School of Engineering. Her work spans analog and mixed-signal integrated circuit design, carbon nanotube interconnect modeling, and engineering education initiatives. Education: B. Tech., Jawaharlal Nehru Technological University (1987) M.S., Michigan State University (1990) Ph.D., Michigan State University (1993) Her research focuses on high-speed data communication ICs, particularly clock/data I/O circuits, and explores carbon nanotubes as interconnect materials. She's expanding into bio-engineering instrumentation and renewable energy power electronics. Publications highlight work on low-power high-speed drivers, carbon nanotube via resistance analysis, microwave frequency modeling, and BIST structures for transceivers. She advises IEEE and Engineers Without Borders chapters at SCU.

Arie Ruzinمشاهده پروفایل

استاد

• Semiconductor Detectors
• Radiation Effects in Semiconductors
• Compound Semiconductors
• +۳ مورد دیگر

Prof. Arie Ruzin is a faculty member at the School of Electrical Engineering, Tel Aviv University, affiliated with the Department of Physical Electronics. His research focuses on semiconductor detectors for radiation and particle detection, with applications in medical imaging, non-destructive testing, and high-energy physics experiments. Research Interests Prof. Ruzin's work spans several key areas: Development of compound semiconductor detectors (CdZnTe, InSb, SiGe) for X-ray, gamma-ray, and particle detection Investigation of radiation-induced defects in semiconductors and radiation-hardness enhancement techniques Device simulation (1D/2D/3D) of novel semiconductor structures Nano-contact physics and atomic force microscopy (AFM) characterization Novel semiconductor materials including 2D materials and compensated semiconductors His research often involves collaborations with international institutions like CERN's RD50 Collaboration. Publications Overview Recent publications (2010-2015) demonstrate a strong focus on semiconductor contact physics, radiation detector optimization, and nano-scale characterization. Key themes include modeling of ohmic/Schottky contacts, radiation damage simulations in CdZnTe/SiGe, and nano-contact behavior. The work consistently applies advanced simulation techniques alongside experimental validation. Student Advising Prof. Ruzin actively recruits graduate students (M.Sc./D.Sc.) for research projects involving: Radiation detector development and characterization Semiconductor device simulation AFM-based nano-scale measurements VLSI circuit design for detector systems He also mentors undergraduate students in projects related to LabVIEW programming, electronic measurements, and VLSI design. Laboratory Activities He leads a research laboratory equipped for semiconductor device characterization, including atomic force microscopy (AFM), deep-level transient spectroscopy (DLTS), and radiation testing capabilities. The group participates in the CERN RD50 collaboration focusing on radiation-hard semiconductor detectors for high-energy physics experiments.

Kees Goossensمشاهده پروفایل

استاد

• Embedded Systems
• Real-Time Systems
• Networks-on-Chip
• +۳ مورد دیگر

Kees Goossens is Full Professor of Real-time Embedded Systems in the Electronic Systems group at Eindhoven University of Technology (TU/e). He leads the CompSOC Lab focused on predictable and composable embedded systems. His research spans composable virtualization, real-time systems, low-power design, and FPGA-based dynamic partial reconfiguration. Previously at NXP Semiconductors, he pioneered networks-on-chip research including the Aethereal NoC architecture. His research interests include: Composable and predictable embedded systems Real-time networks-on-chip (NoC) Memory management and controllers FPGA reconfiguration Hardware verification Low-power electronic design Publication analysis shows consistent focus on real-time systems, networks-on-chip, memory controllers, and embedded systems design, with recent expansion into machine learning applications for networking and error-correction coding. His work frequently addresses automotive and industrial control applications. Editorial contributions include: ACM TODAES editorial board (since 2009) Associate editor for Springer DAEM journal (since 2006) Guest editor for multiple NoC special issues He leads the CompSOC laboratory developing virtualized execution platforms for mixed-criticality systems. Current educational activities include courses on Systems-on-Chip, Embedded Systems, and Computer Architecture.

• Computer Architecture
• VLSI Design
• Hardware Testing and Verification
• +۳ مورد دیگر

Subhasish Mitra is a Professor in the Department of Electrical Engineering and by courtesy in Computer Science at Stanford University’s School of Engineering. His pioneering work focuses on creating robust, error-tolerant hardware systems through the Resilient Silicon paradigm, addressing critical challenges in modern microprocessors and memory design. Education Ph.D. in Electrical Engineering, Stanford University, 1999 B.Tech. in Electrical Engineering, Indian Institute of Technology Kharagpur, 1994 His research spans Computer Architecture , VLSI Design , and Hardware Security , with breakthroughs in defect-tolerant circuits and aging-induced error mitigation. Mitra’s work bridges theoretical innovation and industrial adoption, notably in Intel’s high-volume manufacturing processes. Key recognitions include: IEEE Fellow (2015) for “contributions to design and test of robust microprocessors” ACM Fellow (2015) for foundational reliability frameworks Phil Kaufman Award (2020), EDA’s highest honor He leads Stanford’s Robust Systems Group with sustained funding from NSF, DARPA, and semiconductor industry partners, driving next-generation secure hardware for AI accelerators and IoT devices.