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Dominique GinhacView profile

Professor

• Hardware design of smart vision systems
• Real-time image processing applications
• VLSI CMOS imaging technology
• +5 more

Dominique Ginhac is a Professor of Electrical Engineering at the Laboratory of Electronics, Informatics and Image (Le2i UMR 6306) at the University of Burgundy in Dijon, France. He joined Le2i as an assistant professor in 2000 and was promoted to professor in 2009, also becoming head of the Sensors & Hardware Architectures team. In 2010, he became head of the Electronic department of Le2i, and in 2011, he was appointed Deputy Director of Le2i, overseeing approximately 200 people across three scientific departments: Computer Sciences, Vision, and Electronic. Ginhac holds a Master's Degree in Engineering from Polytech Clermont-Fd (1995) and a PhD in Computer Vision from Blaise Pascal University (1999). In 2008, he received his Habilitation qualification (Accreditation to supervise research) from the University of Burgundy. From 2007 to 2009, he was a visiting professor at Université Libre de Bruxelles in the Consciousness, Cognition & Computation lab, expanding his expertise into cognitive science applications for imaging systems. His research focuses on the development of smart imaging technology where sensing and processing are integrated as closely as possible to achieve low cost, low power, and high processing capabilities. His work spans hardware design of smart vision systems, implementation of real-time image processing applications, VLSI CMOS imaging technology, and embedded image processing on DSP/FPGA platforms. His research activities represent the crossroads between algorithmic and hardware solutions dedicated to real-time embedded image processing applications. An analysis of Ginhac's recent publications reveals a strong focus on smart camera and sensor development, particularly in high dynamic range imaging, single-photon detection, and configurable hardware accelerators. His work shows a clear trajectory from fundamental VLSI image sensor design toward increasingly sophisticated integrated systems combining sensing, processing, and specialized applications in medical imaging and real-time vision. His interdisciplinary approach bridges electronics, computer vision, and application-specific system design. Throughout his career, Ginhac has supervised 8 PhD students and published 20 papers in international peer-reviewed journals, 3 book chapters, and more than 50 conference papers. His research has resulted in several significant projects including VerIDIS (Vertically Integrated Digital Image Sensor), CAPTIvA (Asynchronous Photon-counTing Image sensor Architecture), HDR-ARtiSt (High Dynamic Range Adaptive Real-time Smart camera), and ASTICO (Assistance Textile Cognitive). Ginhac leads the Electronic department at Le2i, which is part of a research laboratory under the supervision of the University of Burgundy and the CNRS. His work involves close collaboration with industry partners and has resulted in practical implementations of smart imaging systems for applications ranging from medical monitoring to automotive vision systems. His current research continues to push the boundaries of integrated vision systems, with particular emphasis on 3D-stacked image sensors and photon-counting technologies.

• Hardware Acceleration
• High-Level Synthesis
• Asynchronous Circuit Design
• +2 more

Sebastian Michael Wiedemann is a PreDoc Researcher at the Vienna University of Technology, affiliated with the Embedded Computing Systems group. His research focuses on hardware acceleration, asynchronous circuit design, and software-hardware integration techniques. He holds a Diplom-Ingenieur (Dipl.-Ing.) degree and a BSc in Electrical Engineering. His recent work includes publications at the Austrochip Workshop on Microelectronics and a diploma thesis on high-level synthesis tools for asynchronous circuits. His research interests span hardware modeling, GPU computing, and FPGA optimization. Publications highlight advancements in vendor-agnostic preemption mechanisms and asynchronous circuit synthesis methodologies. As a PreDoc Researcher, he contributes to academic projects and teaches courses such as Hardware Modeling and HW/SW Codesign .

Peter O'ReillyView profile

Teaching Professor

• Telecommunications
• Network Architecture
• Cyber-Physical Systems
• +2 more

Peter O'Reilly is a Teaching Professor in the Multidisciplinary Graduate Engineering Programs at Northeastern University, where he has directed the MS in Telecommunications Networks since 2002 and developed the MS in Cyber-Physical Systems program. His career bridges industry leadership and academic innovation in networking technologies. His educational background includes: PhD in Electrical Engineering, Georgia Institute of Technology (1983) MS in Applied Mathematics, Georgia Institute of Technology MS in Electrical Engineering, Colorado State University BE in Electrical Engineering (First Hons), University College Dublin Dr. O'Reilly's research centers on telecommunications infrastructure, network architecture evolution, and cyber-physical system integration. His work addresses fundamental challenges in burst switching, ATM protocols, fiber bandwidth utilization, and LAN performance optimization. The textbook Performance Analysis of Local Computer Networks established foundational methodologies for network simulation and traffic modeling. His publication history (1984-1996) reveals a consistent trajectory from early LAN performance studies through burst switching innovations to advanced telecommunications architecture. This body of work demonstrates exceptional continuity in solving practical engineering problems while anticipating industry transitions from circuit-switched to packet-based networks. Major recognitions include: Warner Award (twice at GTE, the company's highest technical honor) 2024 Faculty Research Team Award at Northeastern University As program director for two flagship MS degrees, he has shaped curricula that integrate industry co-ops with academic rigor, producing graduates who excel at companies like Arista Networks, Ericsson, and Palo Alto Networks. His editorial leadership as Editor-in-Chief of IEEE Network (2000-2003) and technical editor for premier journals established him as a key knowledge disseminator in networking research. His IEEE Network editorial tenure and guest editorship for the IEEE Journal on Selected Areas in Communications on Circuit Switching reflect deep engagement with the field's evolution. As a Life Senior Member of IEEE, he maintains active connections between academic research and industrial implementation through the College of Engineering's industry partnerships.

Huaping LiuView profile

Professor

• Wireless Communication Systems
• Signal Processing
• MIMO Systems
• +7 more

Huaping Liu is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University (College of Engineering). He holds a Ph.D. in Electrical Engineering from New Jersey Institute of Technology (1997) and previously worked at Lucent Technologies (1997–2001). His research focuses on wireless communication systems, including MIMO systems, ultrawideband technologies, spread spectrum systems, and channel coding. He has contributed to applications in healthcare monitoring and industrial automation. Education: Ph.D., Electrical Engineering, New Jersey Institute of Technology (1997) M.S., Electrical Engineering, Nanjing University of Posts and Telecommunications (1990) B.S., Electrical Engineering, Nanjing University of Posts and Telecommunications (1987) Research Interests: Wireless communication theories and systems Embodied intelligence and multi-agent robotics Tactile sensing and large-area robotic skin Autonomous navigation and vision-language models Awards and Recognition: 2017 IEEE UEMCON Best Paper Award 2015 OSU College of Engineering Research Collaboration Award 2011 DesignCon Best Paper Award 2010 IEEE VTS Best Paper Award 2007 & 2004 EECS IEEE Professor of the Year Advising and Grants: Dr. Liu emphasizes student-driven learning, fostering critical thinking through inquiry-based teaching. His work involves collaborative projects in robotics, cybersecurity, and sensor systems, supported by grants and industry partnerships. Labs/Teams: Active in developing embodied intelligence frameworks, robotic tactile sensing systems, and cybersecurity solutions for digital twins and vehicular networks. Collaborates on simulation platforms for human-robot collaboration (e.g., HumanTHOR).

Davide BertozziView profile

Professor

• Neuromorphic Computing
• Computer Architecture
• Electronic Design Automation
• +6 more

Davide Bertozzi is a Reader in Advanced Processor Technology at the University of Manchester. His expertise spans Neuromorphic Computing , Computer Architecture , and Electronic Design Automation . He actively supervises PhD students in areas such as interconnect technologies for neuromorphic systems, elastic computing, and silicon nanophotonic networks. Education: PhD in Electrical and Computer Engineering, Universita Degli Studi Bologna (2000-2003) Research Focus: Dr. Bertozzi's recent work emphasizes neuromorphic processor design , adaptive edge AI , and asynchronous NoC synthesis . His projects address challenges in energy efficiency, scalability, and reliability for emerging computing paradigms. Collaborations: He contributes to multi-partner initiatives like TWIN-RELECT, focusing on reliable electronics, and collaborates with institutions including IHP Microelectronics (2023-present) and Universita Degli Studi Bologna. Advising: Dr. Bertozzi accepts PhD students in neuromorphic computing and related fields.

Yinghui HuView profile

Researcher

• Terahertz Technology
• Photonics
• Semiconductor Engineering
• +4 more

Yinghui Hu is a Research Assistant at the Photonics & Terahertz Technology group, Ruhr University Bochum , Faculty of Electrical Engineering and Information Technology. She contributes to advanced THz generation and spectroscopy systems. Research Focus : Her work bridges terahertz technology , semiconductor lasers , and optoelectronic devices , with applications in spectroscopy, material analysis, and industrial sensing. Key projects involve VCSEL-based THz sources and asynchronous sampling techniques . Publications : Recent outputs highlight compact THz systems for water absorption studies and paper sorting, alongside laser-driven integrated photonic circuits for high-frequency stability.

Nils SurkampView profile

Researcher

• Photonics
• Terahertz Science
• Semiconductor Lasers
• +3 more

Nils Surkamp is a Researcher at Ruhr University Bochum's Faculty of Electrical Engineering and Information Technology, working within the Photonics and Terahertz Technology department. His work bridges semiconductor laser physics with practical applications in terahertz spectroscopy and photonic manufacturing. Key research areas: Terahertz technology, mode-locked diode lasers, photonic integrated circuits, two-photon polymerization, optical metrology Recent trends: Focus on compact and portable THz systems, monolithic laser integration, high-precision manufacturing applications Cooperations: International collaborations with institutions in France, Japan, and the USA

• programming technologies
• architecture-independent parallel programming
• evolutionary software development
• +3 more

Alexander Ivanovich Legalov is a Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He has been working at HSE since 2020, bringing 47 years of scientific and teaching experience to his role. Prior to joining HSE, he served as a Professor at the Siberian Federal University from 2006 to 2020. Professor Legalov earned his Candidate of Technical Sciences degree in 1983 and was awarded the academic title of Associate Professor in 1987. He achieved the Doctor of Technical Sciences degree in 2005 and was granted the academic title of Professor in 2007. His educational background includes a specialization in "Design and production of radio equipment" with the qualification of "Engineer-designer-technologist of radio equipment" from the Krasnoyarsk Polytechnic Institute in 1978. Professor Legalov's research focuses on programming technologies, particularly architecture-independent parallel programming and evolutionary software development. His work explores innovative approaches to parallel programming, including procedural-parametric programming paradigms and functional-dataflow models. He has made significant contributions to language design and transformation, particularly in extending C language capabilities and developing tools for parallel program development. His research demonstrates a consistent trajectory toward creating more flexible and efficient programming paradigms that can adapt to different architectural constraints. HSE University Honorary Diploma (May 2025) Gratitude from the Faculty of Computer Science, National Research University Higher School of Economics (August 2022) Badge of honor "For the development of students' research work" (October 2006) Professor Legalov actively supervises student research, currently guiding Kosov P.V. in dissertation research for the degree of candidate of sciences on "Language and instrumental means of evolutionary development of programs based on the procedural-parametric programming paradigm." He teaches courses on Computer Architecture and Operating Systems for second-year students in the Software Engineering bachelor's program at HSE. Professor Legalov participates in editorial boards of several scientific journals, including "Systems Management, Communications and Security" since 2017, and "Reports of the Russian Academy of Higher School Sciences" since 2010. His technical contributions include multiple registered software programs for functional-dataflow parallel programming languages.

Jennifer PaykinView profile

Researcher

• Programming Languages
• Quantum Computing
• Formal Verification
• +7 more

Jennifer Paykin is a researcher affiliated with Intel and previously with Galois, Inc., actively contributing to programming languages and quantum computing since at least 2016. Her work bridges formal verification, quantum circuit design, and type theory, with notable papers on QWIRE, modal types, and higher-inductive quantum lambda calculus. Key affiliations: Intel (current), Galois, Inc. (past) Active in conference committees: PriSC , PLanQC , CoqPL , and TyDe Research interests span programming languages, quantum computing, formal verification, linear logic, and type systems. Her contributions include: Quantum circuit languages (QWIRE) Phantom type applications for quantum programs Modal types in quantum SDKs Formalizing quantum lambda calculus Secure compilation models Higher-inductive type frameworks Trends in publications show increasing focus on quantum software infrastructure (2016–2025), with recurring themes of type-driven quantum verification, circuit compilation, and logical foundations. Key collaborations include work on the SAW scripting language and flow equivalence models.

• Computer Engineering
• Fault-Tolerant Computing
• Asynchronous Logic
• +7 more

Andreas Steininger is an Associate Professor in the Department of Embedded Computing Systems at TU Wien. His primary research focuses on fault-tolerant computing, asynchronous logic, and dependable systems. He leads the Embedded Computing Systems group and serves as Director of the Curriculum Commission for Computer Engineering. His work emphasizes resilient hardware architectures, radiation effects in microelectronics, and timing domain interfacing. He has contributed to numerous projects with industry partners like Intel and TTTech Auto AG, addressing challenges in trustworthy autonomous systems and robust distributed algorithms. Key research interests include asynchronous circuits, clockless processors, and error detection mechanisms. He has over 50 publications in top-tier conferences and journals, including IEEE Transactions and ASYNC. Notable contributions include methodologies for mitigating single-event transients in QDI logic and fault-tolerant clock generation schemes. He teaches advanced courses in digital design, computer engineering, and scientific research methods. His projects span radiation-hardened ASIC design, metastability analysis in FPGAs, and secure IoT architectures. He actively collaborates with automotive and aerospace industries to develop solutions for embedded systems reliability. Recent work explores fault resilience in neural networks and energy-efficient asynchronous microprocessors.

• High-Performance Integrated Circuit Design
• Artificial Intelligence Accelerators
• Digital Signal Processing Chips
• +3 more

Dr. Fengwei An is an Associate Professor at the Shenzhen-Hong Kong Institute of Microelectronics , Southern University of Science and Technology (SUSTech). He earned his Ph.D. in Engineering from Hiroshima University (2013) , following a Master's (2010) and Bachelor's (2006) from Qingdao University of Science and Technology. Current Role : 2025-Present - Associate Dean and Associate Professor, SUSTech Shenzhen-Hong Kong Institute of Microelectronics Prior Academic Roles : 2017-2018 - Associate Professor, Hiroshima University; 2013-2017 - Assistant Professor, Hiroshima University Industry Experience : 2018-2019 - Chief Engineer, Panasonic Semiconductor Co., Ltd., Japan Research Interests focus on low-power edge artificial intelligence chip design for computer vision, including: Ultra-large-scale digital integrated circuit design System-on-Chip (SoC) integration Image processing and recognition Machine learning hardware Autonomous driving applications High-speed motion tracking systems Publications include over 80 top-tier journal/conference papers (e.g., TCAS-I/II, ESSCIRC, APCCAS) on AI accelerators, stereo vision processors, and sensor interfaces, with 15 recent articles highlighting advancements in stereo matching, video denoising, and reconfigurable coprocessors. Scientific Awards : 2023 - SUSTech Outstanding Teaching Award 2022 - APCCAS Best Paper Nomination 2022 - PrimeAsia Bronze Leaf Award 2020 - Wu Wenjun Artificial Intelligence Science and Technology Award (Second Prize) Patents : 9 Chinese and 3 Japanese inventions in AI chip design, stereo matching systems, and sensor interfaces.

• Digital Signal Processing (DSP)
• Field-Programmable Gate Arrays (FPGA)
• Machine Learning Hardware Acceleration
• +13 more

Gian Carlo Cardarilli is a researcher specializing in digital hardware design and machine learning acceleration. His work focuses on FPGA implementations, Residue Number System (RNS) architectures, and reconfigurable computing for applications in wireless communication, edge AI, and fault-tolerant systems. Key collaborations with institutions like IEEE and ACM through publications. Active in translating theoretical algorithms into practical hardware solutions for real-time systems. Research interests include: Optimizing deep learning models for heterogeneous platforms. Developing radiation-hardened memory systems. Creating energy-efficient signal processing architectures. Advancing reconfigurable functional units for embedded processors. His article analyses span fields like Quantum Cellular Automata , Variable Fractional Delay Filters , and RNS-Based Position Estimation , reflecting a trend toward adaptive, low-power, and domain-specific hardware.

Stefano CaselliView profile

Professor

• Autonomous Robotics
• Real-Time Systems
• Parallel and Distributed Computing
• +4 more

Stefano Caselli is a Full Professor of Computer Engineering at the School of Engineering , University of Parma , Italy. He teaches courses in operating systems, real-time systems, digital design, and robotics. His academic journey includes a Laurea in Electronic Engineering (1982) and a Ph.D. in Computer and Electronic Engineering (1987) from the University of Bologna, followed by a visiting scholar position at the University of Florida's Machine Intelligence Laboratory (1989-1990). Current Role: Full Professor, Department of Information Engineering Leadership: Former Chairman of Electronic, Computer, and Telecommunications Engineering degree programs (2000-2006), currently Vice-Chairman of the Ph.D. school in Information Technology and director of a French-Italian double-degree exchange program. Research Focus : His work spans autonomous robotic systems , real-time architectures , human-robot interaction , and edge-to-cloud computing . He has led EU-funded projects like VAALID (2015-2020) and regional initiatives such as AERTECH (2015-2020), emphasizing robotics in industrial automation and rehabilitation. Publications & Collaborations : With over 100 papers in top journals and conferences (e.g., IEEE ICRA, IROS), he explores robotics, precision agriculture, and sensor integration. His Robotics Laboratory (co-founded in 1992) collaborates with local companies on industrial automation solutions. Teaching & Administration : He has served on scientific committees for IEEE ICRA and IROS conferences and is a member of IEEE and ACM . Office hours are conducted via Teams during the pandemic, with physical meetings resuming in Building 1, University of Parma.

Hossein PedramView profile

Assistant Professor

• Computer Networking
• Computer Architecture
• Distributed Systems
• +4 more

Hossein Pedram is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on computer networking, computer architecture, and distributed systems, with contributions to IoT, fog computing, and energy-efficient resource management. Pedram holds a PhD in Computer Engineering from Washington State University. He leads research initiatives in emerging areas such as fog-based IoT optimization and bioleaching applications of microbial systems. Education : PhD in Computer Engineering, Washington State University Research Interests : Pedram’s work bridges theoretical computer science and practical system design. Key areas include: - Computer Networking : IoT protocols, fog computing architectures, and energy-efficient resource allocation. - Computer Architecture : Fault-tolerant systems, error-correcting codes, and synchronization techniques. - Distributed Systems : Multi-cloud workflow scheduling, grid service composition, and wireless sensor networks. Research Trends : His publications reflect a strong focus on network optimization (e.g., fog-based task offloading) and interdisciplinary work in bioleaching (using microbial strains for industrial waste remediation). Recent work emphasizes real-time systems and cybersecurity in distributed environments. Awards : No specific awards listed in available materials. Advising & Grants : Several faculty positions are open in Pedram’s department, offering opportunities to collaborate on nascent research directions. Specific grant-funded projects or student advisees are not detailed in the provided data. Labs & Teams : Pedram maintains an active research website outlining current projects, though no specific lab names or team structures are documented here.

• VLSI Design
• AI/ML Processor Design
• Secure Computer Architecture
• +3 more

Dr. Abbas A. Fairouz is an Assistant Professor in the Computer Engineering Department at Kuwait University. He holds a PhD from Texas A&M University (2019) and BS/MS degrees from Kuwait University (2006/2011). He previously served as a system engineer at Kuwait's Ministry of Electricity & Water (2006–2014) and as a part-time faculty member at PAAET's Higher Institute of Telecommunication and Navigation (2008–2010). Affiliations: Academic Visitor at University of Oxford (OSCAR Research Group) Research Focus: VLSI design, AI/ML processor architecture, secure computer systems, microarchitecture optimization, and FPGA-based acceleration. His current projects include hardware-based sorting networks, privacy-preserving instant messaging systems, and chiplet-based secure architectures. He has received the President of Kuwait Award (2012) and was a best paper nominee at GLSVLSI'17. His work spans hardware-software co-design for cryptographic accelerators, special function units (SFUs), and low-power NoC routers. Collaborations include the Oxford Secure Computer Architecture Research (OSCAR) group.