جست‌وجوی استاد و پژوهشگر

John Emmertمشاهده پروفایل

استاد

• Hardware Security
• Trusted Computing
• VLSI Design
• +۱۱ مورد دیگر

Dr. John Emmert serves as Professor in the Department of Electrical Engineering and Computer Science at the University of Cincinnati and Director of the NSF Center for Hardware and Embedded Systems Security and Trust (CHEST) IUCRC. He has secured over $9 million in research funding from the Air Force, Army, Navy, DARPA, NSF, Ohio State, and industry partners, including five Phase II DoD SBIR contracts. His educational background includes: Ph.D. in Computer Engineering, University of Cincinnati (1999) M.S. in Electrical Engineering, Air Force Institute of Technology (1993) B.S. in Electrical Engineering, University of Kentucky (1987) His research focuses on hardware security assurance, trusted computing, and embedded systems design with expertise spanning VLSI, FPGA/ASIC development, fault tolerance, electronic warfare countermeasures, and GPS integration. Current work emphasizes automated design tools for secure hardware and reconfigurable computing architectures. Notable recognitions include: IEEE Harold Nobel Award AFRL James B. Tsui Award for best patent Air Force Legion of Merit Five Meritorious Service Medals As a 26-year Air Force veteran (1989-2015) retiring as Colonel, he leverages military experience in electronic warfare and UAV systems to inform hardware security research. His CHEST center directs collaborative projects with Raytheon, Northrop Grumman, Amazon, and federal agencies through active grants totaling millions in annual funding, maintaining strong industry-academia partnerships in microelectronics assurance.

Nooshin Nosratiمشاهده پروفایل

پژوهشگر ارشد

• Hardware Design and Modeling
• Computer Architecture
• Embedded Systems Reliability
• +۴ مورد دیگر

Nooshin Nosrati is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, where she leads the "Lego Inspired accessible and automated design framework for demanding Edge AI Systems" project (21 August 2024 – 31 May 2026). Her research focuses on developing the SiLago framework, a modular ASIC design automation tool achieving 10X-100X energy efficiency gains over GPUs/FPGAs. The project bridges system-level implementation with application synthesis for industrial Edge AI applications. She completed her Ph.D. in Digital Electronic Systems at the University of Tehran, with a thesis on hybrid reliability provisions in embedded systems . Her expertise includes hardware modeling, VLSI, and system architecture design. Supervisors: Main Supervisor: Ahmed Hemani (Full Professor, Department of Electrical Engineering, KTH) Co-Supervisor: Artur Podobas (Associate Professor, Division of SCS, School of EECS, KTH) Project Context: Funded by KTH's Digital Futures initiative, the work aligns with societal goals in digitalized industry and cooperative research. The SiLago framework integrates computation, storage, and interconnect requirements to streamline ASIC design from application-level concepts to manufacturable silicon.

Kaushik Patraمشاهده پروفایل

مدرس

• Computer Engineering
• VLSI Design
• Circuit Analysis
• +۳ مورد دیگر

Kaushik Patra is a Lecturer in the Department of Computer Science at San José State University (SJSU). He holds a Master of Science in Computer Engineering from CSU-San Jose (2013). His research interests focus on VLSI design, circuit analysis, parallel computing, and software testing methodologies. Key publications include work on parallel flip-flop timing analysis (2014), resource estimation for computational jobs (2011), transistor-level device identification algorithms (2008), and software test coverage frameworks using BIT (2008). Dr. Patra's academic profile emphasizes practical applications in hardware design optimization and computational resource management. He can be reached at kaushik.patra@sjsu.edu .

• Electronics Education
• Computer Simulation
• Digital Circuits
• +۲ مورد دیگر

Julio Ricardo Garcia is a Professor in the Technology department at San José State University. With a PhD from the University of Northern Iowa (1988), he has established expertise in electronics education, industrial technology, and computer simulation applications. His work bridges theoretical concepts with practical industrial applications. Education: Doctor of Philosophy, University of Northern Iowa (1988) Research Focus: Investigates innovative approaches to technology education, particularly in electronics and digital systems. His scholarship emphasizes practical laboratory methodologies, distance learning frameworks, and curriculum development for industrial technology programs. Research extends to computer simulation applications in physics and electronics education. Publications Focus: Garcia's extensive publication record centers on educational methodologies in technology fields. Recent works demonstrate consistent focus on circuit design pedagogy, simulation tools, and international technology education. Articles frequently address practical implementation challenges in academic and industrial training contexts. Professional Service: Contributed as a translator (English/Spanish) for electronics communications and quality control documentation (2004).

Leong Hon Waiمشاهده پروفایل

دانشیار

• Algorithms & Theory
• Computational Biology
• Bioinformatics
• +۳ مورد دیگر

Leong Hon Wai is an Associate Professor at the National University of Singapore (NUS) in the Department of Computer Science under the School of Computing . He also participates in the University Scholars Programme (USP). With a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign and a B.Sc. in Mathematics (1st Class Honours) from the University of Malaya , Prof. Leong has been a cornerstone of NUS since 1987, previously serving as Division Head for Computer Science and Assistant Dean for Special Programmes . His work bridges computational theory with practical applications in bioinformatics , transportation logistics , and VLSI CAD . Education: B.Sc. in Mathematics, University of Malaya (1st Class Honours) Ph.D. in Computer Science, University of Illinois at Urbana-Champaign Research Interests span the design of efficient algorithms across diverse domains. Key areas include: Bioinformatics : Algorithmic solutions for genomic island detection, protein function prediction, and genome sorting. VLSI CAD : Applied research in computer-aided design for integrated circuits. Logistics : Algorithms for resource allocation, scheduling, and dynamic route planning. Computational Thinking : Pedagogical approaches to simplify complex concepts for non-computer science audiences. His publications reflect interdisciplinary collaboration, particularly at the intersection of algorithm design and biological systems , with a focus on problems like protein function prediction and genome rearrangement . The scientific community has recognized his contributions through fellowships and teaching awards , including the Annual Teaching Excellence Award and Inspiring Mentor Award from NUS. Awards & Honors : Fellow, Singapore Computer Society (2009) NUS Annual Teaching Excellence Award (2009) Inspiring Mentor Award (NUS, 2009) USP Teaching Award (2008) Best Paper Award (APCCAS-1992) Best Presentation Award (ICCD-1985) Excellent Instructor (UIUC, Spring 1985) Teaching & Outreach initiatives include founding Singapore’s Special Programme in DISCS , pioneering NUS’s modular curriculum aligned with ACM standards, and leading the National Olympiad in Informatics (NOI) since 1998. He also co-organizes the annual 24-hour Code::XtremeApps (CXA) competition, engaging primary school students through platforms like Scratch and micro-bit . His passion for computational thinking extends to the course GET1031 for non-majors and outreach programs in K-12 education. Professional Service includes leadership roles in the Singapore Computer Society (SCS), organizing conferences like SEARCC'99 , and serving on the SCS Executive Committee (1994–2007). He is a member of prestigious societies: ACM , IEEE , and ISCB .

• Parallel Computing
• Distributed Systems
• Electronic Design Automation
• +۶ مورد دیگر

Lorenzo Cardone is a PhD student (38th cycle, 2022-2025) in Computer and Systems Engineering and serves as an External Lecturer at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN). His academic appointments include: Part-time Teaching Assistant for Operating Systems courses (2023-2026) Research collaboration with the Formal Methods (FM) research group Education background includes: Bachelor's in Computer Science (2019) Master's in Computer Graphics and Multimedia (2021) Research focuses on parallel computing infrastructures, software optimization for complex graph problems, and Electronic Design Automation (EDA) applications. Specific interests span: Parallel/distributed systems architecture Quantum computing implementations Circuit simulation techniques Fault tolerance in digital systems Automotive SoC testing methodologies Recent publications (2024-2025) demonstrate specialization in test program optimization, SoC validation, and heuristic approaches for large-scale circuit analysis, primarily published in IEEE Transactions on Computers and major test engineering conferences. No awards or student advisement mentioned. Research conducted within DAUIN's Formal Methods group under supervisors Stefano Quer and Paolo Bernardi.

Gautami Alagarsamyمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Internet of Things (IoT)
• Robotics Engineering
• +۴ مورد دیگر

Gautami Alagarsamy is a Research Fellow at Heriot-Watt University’s Institute of Photonics and Quantum Sciences within the School of Engineering & Physical Sciences. She holds a PhD in Machine Learning and IoT from Anna University, India, and has over 10 years of experience in academia and startups. Her current research focuses on automating precision optical systems using AI/ML, funded by the UK’s EPSRC. Previously, she served as an Assistant Professor at SNS College of Technology and a Startup Mentor at SNS Innovation Hub, contributing to innovation policies and collaborations with institutions like IIT-Palakkad. Education: Bachelor’s Degree (Electrical & Electronics Engineering), Anna University (2010) Master’s in VLSI Design Engineering, Anna University (2013) MSc in Robotics, Heriot-Watt University (2024) PhD in Machine Learning & IoT, Anna University (2022) Research Interests: Her work spans AI-driven robotics, IoT applications, optical system automation, and cybersecurity. She emphasizes cross-disciplinary collaboration to address challenges in Industry 4.0 and sustainable energy solutions. Key projects include AI-based intrusion detection systems and organic solar cell material analysis. Publications: Over 15 Scopus-indexed articles and 5 book chapters, focusing on neural networks, smart city IoT systems, and renewable energy materials. Recent work highlights include efficient intrusion detection frameworks and reviews on organic photovoltaic materials. Awards & Grants: EPSRC Grant (EP/V054497/1) for AI-driven optical alignment systems 2018 India Innovation Challenge Design Contest Award Advising & Collaboration: Advised initiatives like NIRF, NBA, and NAAC at SNS College. Collaborates with Leonardo UK, University of Edinburgh, and IIT-Palakkad on innovation projects. Holds a design patent in India and actively mentors startups in technology commercialization. Labs/Teams: Part of the Institute of Photonics and Quantum Sciences, leading multidisciplinary teams in applied AI and IoT. Engaged in cross-university collaborations to advance Industry 4.0 technologies.

Kevin Nowkaمشاهده پروفایل

عضو هیئت علمی

• Semiconductor Design
• Computer Architecture
• Memory Systems
• +۲ مورد دیگر

Kevin Nowka is Professor of Practice in Electrical and Computer Engineering at Texas A&M University's College of Engineering. His research bridges semiconductor design and agricultural informatics, developing machine learning tools for precision farming and wildfire prediction. Education and industry background include extensive experience in high-frequency processor design and VLSI systems. Previous roles include IBM Research leadership in memory systems and low-power architectures. Research applies deep learning to environmental challenges, notably through UAS-based crop monitoring frameworks and neural network optimization for embedded agricultural systems. Recent work focuses on cotton yield forecasting using Bayesian networks and LSTM models. Publications show convergence of semiconductor expertise and agri-informatics, with innovations in model compression for edge computing in field applications. Key themes include phenotyping automation and privacy-preserving data analytics. Teaches courses on computer architecture and embedded systems. Supervises student projects on AI applications in sustainable agriculture.

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.

• Embedded systems
• Hardware/Software Co-design
• Electronic Design Automation
• +۷ مورد دیگر

Vasilios Tenentes is an Associate Professor at the Department of Computer Engineering and Informatics, University of Ioannina, Greece. He is affiliated with the VLSI Systems and Computer Architecture Laboratory (VCAS), where he conducts research in reliable and controllable digital systems. His academic journey includes postdoctoral research at the University of Southampton, UK (2014–2018), and a research engineer role at ARM Ltd, Cambridge (2017–2018). His educational background includes a B.Sc. in Computer Science from the University of Piraeus (2003), and M.Sc. and Ph.D. degrees in Computer Science and Engineering from the University of Ioannina (2007, 2013). His doctoral research was funded by the 'Heraclitus 2' program and focused on embedded control architectures for testability in digital systems. His research interests include embedded systems, hardware/software co-design, design for testability, fault modeling, and reliability in digital systems. He has contributed to projects such as PRiME (Power-efficient, Reliable, Many-core Embedded systems) and the Artemis Program on secure supply chain traceability. His work emphasizes reliability assessment for IoT applications and wear-out effects modeling in integrated circuits. The available publication data is limited, but his work spans international journals and conferences on digital system reliability and testability. Though specific article titles and years are not fully listed, his research consistently targets energy-efficient and dependable embedded architectures. Member, IEEE (since 2007) Member, HiPEAC (since 2023) He advises students through the university's student advisor program and is involved in supervising doctoral candidates within the VCAS lab. While no specific grants are named, his participation in EU-level research programs indicates active grant involvement. His work bridges industry collaboration (e.g., ARM, Intel, Microsoft Research via PRiME) and academic innovation. He is a core member of the VLSI Systems and Computer Architecture Laboratory (VCAS), collaborating with faculty including Prof. George Tsiatouchas and Prof. Chrysovalantis Kavousianos, and contributing to a strong research environment in digital system design and reliability.

Andreas Venerisمشاهده پروفایل

استاد

• Computer Engineering
• Blockchain Technology
• Formal Methods
• +۴ مورد دیگر

Professor Andreas Veneris, currently at the University of Toronto , holds cross-appointments in the Edward S. Rogers Sr. Department of Electrical & Computer Engineering , Department of Computer Science , and the Munk School of Global Affairs & Public Policy . He earned his Diploma in Computer Engineering from the University of Patras (1991), M.S. in Computer Science from USC (1992), and Ph.D. in Computer Science from UIUC (1998). AAAS ACM Fellow IEEE Fellow Professional Engineers of Ontario Technical Chamber of Greece Planetary Society NSERC COHESA Network Director His research spans two decades of CAD/VLSI design automation followed by blockchain technology focusing on CBDCs , smart contract verification , DeFi mechanisms , and techno-legal Web3.0 policy . Recent work includes ASTRAEA decentralized oracle , DeFi insurance protocols , and privacy-preserving CBDC architectures . Award highlights: ACM SIGSOFT Distinguished Paper (ICSE 2024) IEEE Best Paper Awards (2024, 2022, 2020) ACM SIGARCH Maurice Wilkes Award MICRO Hall of Fame He advises Ph.D. candidates in blockchain and machine learning while leading research sponsored by Ripple (UBRI) , Huawei , and IBM . His group develops value-based accelerators for deep learning and formal verification frameworks for smart contracts. Selected projects include: HEMVM (Interoperable Blockchain VMs) BAKUP (DeFi Insurance Protocol) SigVM (Event-Driven Smart Contracts) CnvluTin (Ineffectual Neuron-Free CNNs) Stripes (Precision-Variable DL Accelerators)

Xiaobo Sharon Huمشاهده پروفایل

استاد

• Circuit Design
• Architecture Design
• Energy-Aware Systems
• +۷ مورد دیگر

Xiaobo Sharon Hu is the Leo E. and Patti Ruth Linbeck Professor of Engineering in the Department of Computer Science and Engineering with a concurrent appointment in the Department of Electrical Engineering at the University of Notre Dame. She currently serves as a Program Director at the National Science Foundation (since November 2022) while maintaining her faculty position at Notre Dame. Her research focuses on circuit and architecture design with emerging technologies, energy and reliability aware system design, and resource management for real-time embedded systems. Her work spans processing-in-memory architectures, secure hardware design, and real-time scheduling theory. Her research benefits from close collaborations with device experts and has resulted in over 450 referred publications. Professor Hu's recent publications demonstrate strong activity in compute-in-memory architectures, secure hardware design, and real-time wireless networking. Her work bridges the gap between circuit design and system-level considerations, particularly focusing on energy efficiency and security. She has made significant contributions to elastic scheduling theory and has been instrumental in connecting the real-time systems community with the design automation community. Her scientific achievements have been recognized with numerous awards: 2024 IEEE TCRTS Outstanding Technical Achievement and Leadership Award Fellow of the Association for Computing Machinery (ACM) 2023 IEEE/ACM William J. McCalla ICCAD Best Paper Award 2023 Marie R. Pistilli Women in Engineering Achievement Award Best Paper Awards from ISLPED (2018), NanoArch (2009), and DAC (2001) NSF CAREER Award (1997) Professor Hu has mentored numerous graduate and undergraduate students throughout her career, with many alumni now holding positions at leading technology companies including Apple, Amazon, Google, IBM, and Qualcomm. She has served in significant leadership roles including Editor-in-Chief of ACM Transactions on Design Automation of Electronic Systems (2020-2024), General Chair of DAC 2018, and Technical Program Chair of IEEE Real-Time Systems Symposium 2019.

• Microelectronics
• Integrated Circuit Design
• VLSI
• +۲ مورد دیگر

Michele Chiabrera serves as a Contract Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa, teaching within the Master's Degree Program in Electronic Engineering. His research specialization centers on Microelectronics and Integrated Circuit Design, with specific expertise in VLSI and Electronic Design Automation, directly reflected in his instructional responsibilities. For the 2024-2025 academic year, he teaches MICROCIRCUITS DESIGN (code 84506), and for 2025-2026, he will instruct DIGITAL INTEGRATED CIRCUITS DESIGN AND VERIFICATION (code 114767). No scientific awards or student supervision activities are documented in the available materials. His professional focus appears concentrated on advanced circuit design pedagogy within electronic engineering education.

Arindam Mukherjeeمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Fog Computing
• Real-Time Systems
• +۴ مورد دیگر

Dr. Arindam Mukherjee serves as an Associate Professor in the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte, College of Engineering. His office is located in EPIC 2336, and he can be reached at amukherj@charlotte.edu or by phone at 704-687-8417. His educational qualifications are as follows: Ph.D. from the University of California at Santa Barbara (2002) M.S. from the University of California at Santa Barbara (2000) B.Tech. from Jadavpur University, India (1996) Dr. Mukherjee's research spans Smart System Architectures, Internet of Things (IoT), and Fog Computing. He investigates cooperative and autonomous mobile systems, real-time system software, and database management for Big Data. His work includes scheduling algorithms for IoT systems and the integration of edge, fog, and cloud computing paradigms for real-time applications in the Big-Squared Data space. His publication record from 2003 to 2018 shows an evolution from VLSI design and bioinformatics to contemporary IoT and fog computing. Early work focused on logic synthesis, biochip testing, and FPGA-based bioinformatics implementations, while recent contributions address power management in heterogeneous processors, energy-efficient communications for smart buildings, and the synergistic integration of edge, fog, and cloud computing for real-time IoT data processing. No scientific awards are mentioned in the provided text. There is no information available regarding students advised or research grants. Similarly, no specific research labs or collaborative teams are described in the source material.

Pete Maurerمشاهده پروفایل

استاد

• Operating Systems
• GPS Applications
• Component Level Design
• +۶ مورد دیگر

Dr. Pete Maurer is a Professor in the Department of Computer Science at Baylor University. He holds a Ph.D. from Iowa State University (1982) and has academic specializations in operating systems and software testing, with broader research interests spanning metamorphic programming, GPS applications, and VLSI design automation. Education: Ph.D., Iowa State University (1982) MS, Iowa State University (1979) BA, College of St. Benedict (1969) His research focuses on innovative approaches to software design and testing, including metamorphic programming and parallel processing. He has contributed to the field through publications such as Metamorphosis, State Machines, and Object Oriented Design , which reflects his work in component-level software engineering.