Dirk Koch is an Associate Professor in the Department of Computer Science at the University of Manchester. He specializes in reconfigurable computing, FPGA architecture, and hardware acceleration. His research addresses challenges in field-programmable gate arrays (FPGAs), high-level synthesis, and stream processing. He leads the Advanced Processor Technology group and contributes to the Digital Futures Institute for Data Science and AI. Education: Doctorate in Computer Engineering Affiliations: Centre for Digital Trust and Society, EPSRC Functional Oxide Reconfigurable Technologies Programme His work focuses on optimizing FPGA performance, reducing power consumption, and advancing reconfigurable hardware systems. Recent projects include bitstream manipulation frameworks, runtime stream processing pipelines, and FPGA fabric optimization techniques. He has collaborated extensively with industry partners like AMD-Xilinx. Dirk Koch has supervised 11 research projects, including work on clock region process variation analysis and FPGA virus scanning. He holds grants from EPSRC and has published 62 peer-reviewed works.
Saghi Forouhi is an Assistant Professor at Linköping University, affiliated with the Division of Electronics and Computer Engineering (ELDA) and the Department of Electrical Engineering (ISY). Her research focuses on analog circuits, biochips, and signal processing technologies. Primary Affiliation: Linköping University School: Division of Electronics and Computer Engineering Department: Department of Electrical Engineering In 2025, she co-authored the publication Advanced CMOS Biochips , which explores intersections between CMOS technology and biomedical applications.
Roles & Affiliations: Prof. Piotr Dudek is a Professor of Circuits and Systems in the School of Electrical and Electronic Engineering at The University of Manchester. He has held visiting roles at Hong Kong University of Science and Technology, Gdansk University of Technology, and Sorbonne University. He is a Senior Member of the IEEE and chairs/co-chairs technical committees in circuits and systems. Education: Mgr inz (Technical University of Gdańsk, Poland), MSc and PhD (UMIST, UK). Research Interests: Focuses on VLSI design, vision sensors (SCAMP chip family), cellular processor arrays, neuromorphic engineering, and brain-inspired systems. Develops low-power, high-performance embedded vision systems for robotics, biomedical applications, and autonomous systems. Projects & Contributions: Leads projects like SCAMP vision chips, FORTE (memristor-based systems), and Agile robotic vision. Involved in EPSRC-funded initiatives and collaborates internationally. Active in reviewing for journals/conferences and holds editorial roles. Awards: Recipient of Best Paper/Demo awards at ISCAS, CNNA, IJCNN, and ICDSC. Holds the Royal Academy of Engineering/Leverhulme Trust Senior Research Fellowship. Lab & Teams: Directs the Microelectronics Design Lab, fostering interdisciplinary work between VLSI design, robotics, and neuroscience. Supervises 11 PhD students and collaborates with global researchers in bioelectronics and computational systems.
Dr. Juan Antonio Montiel-Nelson is a Full Professor at the Department of Electronic and Automatic Engineering, University of Las Palmas de Gran Canaria, Spain, and a permanent member of the Institute for Applied Microelectronics (IUMA). With over 195 publications and 691 citations (ResearchGate, April 2024), he maintains an h-index of 13 in Scopus with 544 citations across 407 documents. PhD in Electrical Engineering from University of Las Palmas de Gran Canaria (1994) Full Professor since 2003 (previously Titular Professor 1997-2003) Visiting Scientist at Edith Cowan University, Australia (1996-1997) His research spans VHSIC design across GaAs, SiGe, InP, and CMOS technologies, with current focus on MEMS sensors design and integration for health monitoring, oceanographic profiling, and aquaculture applications. His work integrates circuit design with AI-driven systems for environmental and health monitoring. Dr. Montiel-Nelson serves on the MWSCAS Steering Committee since 2009 and the IEEE Sensors council for the Spanish chapter. He has contributed to 72 IEEE publications including flagship conferences from 2006-2023 and serves as reviewer for multiple IEEE Transactions journals. Myril B. Reed Best Paper Award, 2008 IEEE MWSCAS Active reviewer for IEEE Transactions on Circuits and Systems I/II Reviewer for IEEE Transactions on Very Large Scale Integration (VLSI) He currently leads multiple major research initiatives including EU-funded projects on AI-assisted health monitoring systems and national projects on oceanographic profilers and aquaculture sensor networks, demonstrating strong leadership in interdisciplinary research bridging electronic engineering with practical environmental and healthcare applications.
Dr. Patrick W. C. Ho is a Lecturer in the Department of Electrical & Computer Systems Engineering (ECSE) at Monash University Malaysia School of Engineering. He holds a PhD in Electronics Engineering from the University of Nottingham Malaysia Campus (2016), with research focusing on non-volatile FPGA architectures using memristors. His academic journey includes roles as a Scholarly Teaching Fellow and unit coordinator for courses like ECE2131 Electrical Circuits and ECE4063 Large Scale Digital Design. He has industry experience with Intel Microelectronics and Altera Corporation, alongside teaching A-level Physics at Methodist College Kuala Lumpur. Education: BEng (First Class Honours) in Engineering (2009) MSc in Science (2012) PhD in Electronics Engineering (2016) Research Interests: Dr. Ho specializes in memristor-based non-volatile memory systems, VLSI design, and FPGA architectures. His work bridges hardware design with emerging materials, as seen in his Q1 journal article on memristive LUTs. Collaborations with CAD-IT expand his focus into AI, image processing, and object recognition. Recent projects include studies on memristor substrate performance (2023–2026) and UAV communication reliability (2021–2024). Teaching and Industry Engagement: As ECSE’s Industrial Training Advisor and IAP representative, he actively connects academic curricula with industry needs. His teaching spans foundational engineering courses and advanced digital design modules. Labs and Collaborations: Active in CAD-IT partnerships for student FYP co-sponsorship. Research groups focus on nanotechnology, machine learning integration in UAV systems, and memristor material analysis.
Luca Sterpone is a Full Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He serves as Head of the Control and Computer Engineering Department (2023-2027), coordinates the Aerospace and Safety Computing Lab, and is a member of the Academic Senate and Power Electronics Innovation Center (PEIC). His research spans reconfigurable computing, fault tolerance, and radiation effects analysis in electronic systems. Professor since 2021 Department Head (DAUIN) since 2023 Coordinates international collaborations with ESA, AMD Xilinx, NVIDIA, and Thales Alenia Space Develops radiation-hardened FPGA tools (SETA, VERI-Place, PyXEL) 2007 EDAA Outstanding Dissertation Award and 2005 IEEE Best Paper Award Research Focus : Designing radiation-tolerant systems for aerospace, including fault-tolerant AI accelerators, FPGA reliability, and software-based error mitigation. He investigates soft error propagation in nanoscale circuits and develops tools for radiation sensitivity analysis in VLSI. His work integrates hardware-software co-design for mission-critical applications. Awards : EDAA Outstanding Dissertation Award (2007) IEEE European Test Symposium Best Paper (2005) SMACD Best EDA Tool Award (2018) ARC Best Paper candidate (2018) Teaching : He leads courses in Reconfigurable Computing (PhD level), GPU Programming , and Operating Systems . He has formal responsibility for teaching roles across 9 bachelor's and 7 master's years, and mentors multiple PhD students. Collaborations : Coordinates with the European Space Agency (ESA), University of Bielefeld, Universidad de Sevilla, and industrial partners like AMD Xilinx, NVIDIA, and General Motors. He leads projects such as RESCHIP4EU, VEGAS, and TERRAC for radiation-hardened computing solutions.
Prof. Dr.-Ing. Marc Reichenbach serves as the Chair of Integrated Systems at the Institute for Applied Microelectronics and Data Technology at the University of Rostock. His office is located at Albert-Einstein-Straße 26, 18059 Rostock, Room 102 (1st floor), with contact information including telephone (0381) 498 7270 and email marc.reichenbach@uni-rostock.de. Professor Reichenbach's research focuses on the intersection of hardware design and artificial intelligence, with particular expertise in memory technologies and computing architectures. His work spans several key areas: Development of specialized computer architectures for deep learning applications Advanced VLSI design and CPU architecture Emerging memory technologies, particularly RRAM (Resistive Random-Access Memory) FPGA-based acceleration systems Hardware implementations for neural networks and AI applications Analysis of Professor Reichenbach's recent publications (2023-2025) reveals a strong focus on memory computing technologies, particularly RRAM-based systems. His work demonstrates expertise across multiple dimensions of computer architecture including ASIC design, FPGA acceleration, and novel memory systems. The publications show a clear trajectory toward implementing AI and machine learning capabilities directly in hardware, with applications ranging from edge computing to satellite systems. A significant portion of his recent work addresses the challenges of implementing neural networks using emerging memory technologies, focusing on efficiency, reliability, and performance optimization. Professor Reichenbach teaches several advanced courses including: Computer architectures for deep learning applications Project seminar Embedded Systems Advanced VLSI Design (Advanced CPU Design) His research group appears to be actively engaged in several cutting-edge projects related to hardware acceleration for AI applications, memory computing, and embedded systems design. The group collaborates on projects involving digital twins for hardware systems, real-time operating systems for heterogeneous architectures, and specialized computing systems for various applications from medical devices to drone technology.
Rod Beresford is a Professor of Engineering at Brown University's School of Engineering, where he has held several leadership positions including Senior Associate Dean for Academic Programs and Associate Provost for Academic Space. He earned his B.S. (1979) and M.S. (1981) in electrical engineering from Yale University and his Ph.D. (1990) from Columbia University. In 2020/21, he served as an IEEE/AAAS Congressional Fellow working on the Senate Energy and Natural Resources Committee. His research focuses on semiconductor nanostructures, including synthesis, modeling, integration with microelectronics, and applications, with a particular emphasis on molecular beam epitaxy. Beresford has published over 80 scientific papers and has worked on molecular beam epitaxial growth of III-V semiconductors since 1987. His current research emphasizes engineering innovations for decarbonization and electrification of the economy. Professor Beresford's scholarly work spans semiconductor materials and devices, quantum structures, nanomaterials, microfluidics, and biosensing. His recent publications demonstrate a strong focus on quantum dot arrays, nanowire electrical properties, and biosensing applications. The research shows evolution from fundamental semiconductor physics toward practical applications in sensing and energy technologies. His honors and awards include: Tau Beta Pi (1978) Sheffield Fellowship (Yale University, 1980–81) Office of Naval Research Fellowship (Columbia University, 1987–90) Sigma Xi (1991) BBV Foundation Chair (Visiting Professor, Polytechnic University of Madrid, 1996) Institute of Electrical and Electronics Engineers, Senior Member (2002) Professor Beresford has been instrumental in Brown's academic infrastructure development, including facilitating the successful development of the Engineering Research Center, an 80,000-sf lab building completed in October 2017. He has served as Academic Director for the Master of Science in Technology Leadership program and has introduced new courses in VLSI Design and Nanoelectronics. His research has been supported by significant grants including: Nanoelectronics Research Initiative / National Science Foundation: "Direct-Write Synthesis of Graphene Devices" (PI, $400,000) National Science Foundation Materials Research Science and Engineering Center: "Micro- and Nano-Mechanics of Electronic and Structural Materials" (co-PI, $9,360,000) Air Force Office of Scientific Research Multidisciplinary University Research Initiative: "Direct Nanoscale Conversion of Biomolecular Signals into Electronic Information" (co-PI, $5,609,969) Professor Beresford leads a research group focused on semiconductor nanostructures and collaborates extensively with colleagues including Jingming Xu, Eric Chason, Brian Sheldon, Alexander Zaslavsky, and David Paine. His laboratory includes molecular-beam epitaxy systems for advanced materials research.
Shimeng Yu is a full professor at the Georgia Institute of Technology's School of Electrical and Computer Engineering, holding the Dean’s Professorship. He earned his B.S. from Peking University (2009) and M.S./Ph.D. from Stanford University (2011/2013). His research focuses on semiconductor devices, non-volatile memories, 3D integration, and AI hardware accelerators. Yu leads SRC/DARPA JUMP 2.0 centers on memory/storage and 3D integration, with over 400 publications and 30,000+ citations (H-index 82). He serves on flagship conference committees (e.g., IEDM, VLSI) and editorial boards (IEEE EDL, JETCAS). Education: B.S., Microelectronics, Peking University (2009) M.S./Ph.D., Electrical Engineering, Stanford University (2011/2013) Research Themes: Emerging non-volatile memories for AI Monolithic 3D integration Energy-efficient computing systems His work spans device fabrication, circuit design, and system-level co-optimization. Recent projects are funded by NSF, DARPA, DOE, and industry partners (TSMC, Intel, Samsung), totaling >$17M. His lab, located at the Pettit Microelectronics Research Center, develops prototypes with cleanroom access. Awards: IEEE Fellow (2024) ACM/IEEE DAC Under-40 Innovators Award (2020) NSF CAREER Award (2016) Multiple editorship roles and distinguished lecturer appointments (IEEE EDS/CASS) Grants & Funding: Lead of two SRC/DARPA JUMP 2.0 centers Total research funding exceeds $17M
Yong-Bin Kim is a Professor in the Department of Electrical and Computer Engineering at Northeastern University, part of the College of Engineering. He has held prior positions at Intel Corp., Hewlett Packard Co., Sun Microsystems, and the University of Utah. His research focuses on integrated circuit design, nanoelectronics, bio-chip interfaces, and low-power VLSI systems. He has contributed to initiatives like the HPVLSI Lab and Microsystems and Electron Devices Lab. Education includes a B.S. in Electronic Engineering from Sogang University (Seoul, South Korea), an M.S. from the New Jersey Institute of Technology, and a Ph.D. in Computer Engineering from Colorado State University (1996). Research interests encompass high-speed low-power VLSI design, system-on-chip (SoC), physical VLSI CAD, and nanoelectronics. Specific areas include bio-sensor interface circuits, electronic neuron design, and adaptive robot controllers. Key projects involve compact power-efficient integrated circuits and high-speed transceiver design. Outstanding Paper Award, 2020 IEEE ISOCC South Korean Patent for Autonomous Impedance Calibration (2021) Best Paper Award, 2016 International SoC Design Conference Patent for Improved Receiver Circuit (2020) Patent for Method to Detect Trojan Circuits (2018) Advisees include graduate student Yixuan He. He has led research projects funded by Winchester Technology and Hynix Semiconductor, focusing on semi-self-calibration transceivers and tunable RF inductors. Labs include the HPVLSI Lab and Microsystems and Electron Devices Lab at Northeastern University, which focus on high-speed/low-power IC design and microfabrication technologies.
Emre Salman is a Professor in the Department of Electrical and Computer Engineering at Stony Brook University (SUNY), where he directs the Nanoscale Circuits and Systems (NanoCAS) Lab. His research focuses on nanoscale IC design, energy-efficient computing, and biomedical electronics, with notable contributions to 3D integrated circuits and wireless energy harvesting for IoT and healthcare applications. Education : PhD in Electrical Engineering, University of Rochester (2009) MSc in Electrical and Computer Engineering, University of Rochester (2006) BSc in Microelectronics Engineering, Sabanci University, Turkey (2004) Research Interests : Salman’s work spans energy-efficient integrated circuits, secure IoT systems, and implantable medical devices. He pioneers techniques like charge-recycling logic and thermal-aware design for post-Moore computing. His group develops monolithic 3D ICs to address power/thermal challenges in AI accelerators and biomedical implants. Articles Trends : Recent publications highlight advancements in triboelectric energy harvesters for knee implants, thermal covert channel mitigation in 3D processors, and energy-efficient DNN accelerators. He emphasizes sustainability and security in emerging technologies like ReRAM-based computing and AC circuits for wireless IoT. Awards : 2023-2024 IEEE Distinguished Lecturer 2018 IEEE Region 1 Technological Innovation Award 2013 NSF CAREER Award Advising & Grants : Salman has directed multiple NSF, NIH, and industry-funded projects. He advises students on topics like hardware security and biomedical electronics, with a focus on translating research into commercializable technologies. Labs & Teams : The NanoCAS Lab collaborates with Brookhaven National Lab and industry partners (e.g., AMD, Samsung) to bridge academic research with real-world applications in energy-efficient computing and secure 3D ICs.
Jaydeep Kulkarni serves as an Assistant Professor holding the AMD Development Chair in the Department of Electrical and Computer Engineering at The University of Texas at Austin. He earned his Ph.D. from Purdue University in 2009 and previously worked as a Senior Staff Research Scientist at Intel Labs from 2009 to 2017. His educational background includes a doctoral degree in Electrical and Computer Engineering from Purdue University (2009). Dr. Kulkarni's research centers on energy-efficient digital circuit design, memory systems, power management architectures, nanotechnology applications, and hardware accelerators for data-intensive computing. His work bridges theoretical circuit innovations with practical implementations to enhance computational efficiency across modern electronic systems. He has received notable recognition including: 2008 Intel Foundation Ph.D. fellowship award 2010 Purdue School of ECE Outstanding Doctoral Dissertation Award 2015 IEEE Transactions on VLSI Systems Best Paper Award 2015 SRC Outstanding Industrial Liaison Award Dr. Kulkarni actively contributes to academic service through technical program committees for A-SSCC, DAC, ISLPED, ISCAS, and ASQED conferences. During his Intel tenure, he served as an IEEE Circuits and Systems Society Industrial Distinguished Lecturer and SRC/NSF Industrial Liaison. He currently chairs ISLPED 2018 and serves as Associate Editor for IEEE Solid-State Circuit Letters and IEEE Transactions on VLSI Systems as a Senior IEEE Member. He is affiliated with UT Austin's Microelectronics Research Center, focusing on collaborative semiconductor research initiatives.
Martin D. F. Wong is the Edward C. Jordan Professor of Electrical and Computer Engineering and Executive Associate Dean of the College of Engineering at the University of Illinois. A pioneer in Electronic Design Automation (EDA) and VLSI circuit design, his work has significantly advanced chip design methodologies through algorithmic innovations. He holds over 450 publications and has been recognized with prestigious awards, including the ASP-DAC Most Frequent Author Award and the inaugural EDA Research Award from Synopsys. Wong’s research focuses on EDA, computational lithography, and 3D integrated circuits. He has mentored 48 PhD students, many of whom have excelled in academia and industry. His contributions include foundational frameworks like OpenILT (Inverse Lithography Technique) and Xplace (global placement). He is an IEEE Fellow and has served as a Distinguished Lecturer for the IEEE Circuits and Systems Society. Key Achievements: Recipient of six best-paper awards in chip design and routing optimization Developed GPU-accelerated tools for static timing analysis and global routing Advances in machine learning applications for EDA, including congestion prediction and hotspot detection Wong’s legacy combines technical innovation with mentorship, shaping the future of semiconductor design and manufacturing.
Mohammad Hossein Zarifi is an Associate Professor in the School of Engineering at the University of British Columbia's Okanagan campus, specializing in Electrical Engineering. He serves as a graduate student supervisor and directs the Okanagan Microelectronics and Gigahertz Applications (OMEGA) Lab. Education: Post-Doctoral Fellowship - University of Alberta PhD – Electrical and Computer Engineering, University of Tabriz MSc – Electrical and Computer Engineering, University of Tabriz BSc – Electrical and Computer Engineering, University of Tabriz Dr. Zarifi's research focuses on state-of-the-art sensors with emphasis on microwave resonators, high-speed and low-power analog circuit design, and analog-to-digital converters for various applications. His specific research projects include Passive Planar Microwave Resonator for Oil Sand Applications, NanoTube Integrated Passive Planar Microwave Resonator, Microelectro mechanical Devices (MEMS), Integrated Circuit Design (VLSI-Analog), and Integrated Circuit for Implantable Biomedical Applications. Dr. Zarifi has received the 2015 CMC-NRC first place award for innovative microwave sensors. He is a senior member of the IEEE Solid-State Circuits Society and the IEEE Circuits and Systems Society, and serves as a reviewer for several academic journals and conferences. As an educator, he teaches Introduction to VLSI Systems (ENGR466), Microwave Systems (ENGR470), and System Dynamics (APSC246). His work bridges theoretical concepts with practical applications in sensor technology and circuit design, particularly for biomedical and communication systems. Dr. Zarifi leads the OMEGA Lab, which focuses on advancing microelectronics and gigahertz applications through innovative research in microwave sensors and integrated circuit design.
Dr. Dian Zhou is a Professor of Electrical Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (1990), and M.S. and B.S. degrees from Fudan University, Shanghai (1985 and 1982, respectively). His research focuses on VLSI design, CAD tools, analog circuit performance analysis, and nanotechnology applications. Notably, he served as Changjiang Honored Professor and Dean of the School of Microelectronics at Fudan University (2003–2006) on part-time leave from UTD. Key honors include the Changjiang Scholar Award (2002), NSF Young Investigator Award (1994), and IEEE Darlington Award (1993). His work has advanced VLSI optimization methods, analog circuit reliability, and nanowire biosensor technology. He has advised graduate students at UTD while managing research grants and collaborating internationally. He contributed to the development of Fudan’s Zhang-Jiang Institute to boost microelectronics innovation in Shanghai.
