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Jose Pineda de GyvezView profile

Professor

• Low-Power Electronics
• Semiconductor Technology
• Systems Power Management
• +3 more

José Pineda de Gyvez is a Full Professor of Resilient Nanoelectronics at Eindhoven University of Technology (TU/e), specializing in ultra-low power designs, variability tolerance, and context-aware computing. He leads research in semiconductor technology, systems power management, and low-power techniques for integrated circuits. His work bridges academia and industry, focusing on applications like IoT, microcontrollers, and healthcare electronics. Pineda holds a PhD from TU/e (1991) and has held roles at Texas A&M University (1991-1999), Philips Research (1999-2006), and NXP Semiconductors (2006 onwards as Principal Scientist and Fellow). He joined TU/e as a professor in 2006, maintaining dual roles in academia and industry innovation. His research emphasizes low-power digital design techniques such as subthreshold design, DVFS, and technology-aware physical design. He has authored over 100 publications, 4 books, and 30+ US patents. His work is funded by institutions like the Dutch Ministry of Science and the US National Science Foundation. As an IEEE Fellow (2009), Pineda contributes to editorial boards of journals like the Journal of Low Power Electronics . His labs focus on embedded systems, energy harvesting, and resilient nanoelectronics, with a strong emphasis on practical industrial applications.

• Analog Integrated Circuit Design
• Behavioral Modeling of Mixed-Signal Systems
• Nanoscale Transistor Modeling
• +3 more

Trond Ytterdal is a Professor at the Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. His research focuses on analog integrated circuits, mixed-signal systems, and nanoscale transistor modeling for THz applications. Fields of Interest: Analog circuit design, THz technology, and semiconductor device modeling. Affiliation: Centre for Innovative Ultrasound Solutions (CIUS), NTNU. Research Trends: Over the past five years, Ytterdal’s work has centered on ultra-low-voltage circuits (e.g., sub-100mV designs), THz spectrometers using TeraFET and GNRFET technologies, and noise/power optimization in nanoscale devices. His publications also explore memristor crossbar arrays, Josephson junction integration, and energy-efficient memory systems. Scientific Recognition: Senior Member of IEEE Member of The Norwegian Academy of Technological Sciences Collaborations: Regularly co-authors with researchers at Rensselaer Polytechnic Institute and industry experts in semiconductor modeling.

• Electronics
• Semiconductor Devices
• Integrated Circuits
• +3 more

Felice CRUPI is a Full Professor of Electronics at the University of Calabria since 2018, with prior roles as Associate Professor (2002-2018). He leads the Electrical Characterization of Semiconductor Devices section at the Nanoelectronics and Microsystems Laboratory (NML) and coordinates international collaborations with institutions like IMEC, IBM, and Purdue University. Education: PhD in Electronic Systems Engineering (University of Florence, 2001), MS in Electronic Engineering cum Laude (University of Messina, 1997) Research Interests focus on CMOS device reliability , low-frequency noise modeling , 2D material applications in electronics, and power-efficient circuits . His work spans device characterization, GaN/SiC power electronics, and hardware security through PUFs. Grant Leadership includes major European projects like GaN4AP (GaN power applications), Five2D (2D integrated electronics), and REACTION (SiC pilot lines). He has secured funding for radiation-hard memory design and international collaborations. Scientific Awards : Best paper, IEEE Ecuador Technical Chapters Meeting (2018) Best paper, IEEE International Conference on Microelectronics (2008) IEEE Senior Member (since 2014) Academic Service includes editorial roles (IEEE Transactions on Device and Materials Reliability), conference organization (INFOS 2021 General Chair), and PhD supervision of >10 students. He has taught internationally in Ecuador, China, Finland, Belgium, and Spain.

• Neuromodulation
• Chronic Pain Management
• Spinal Cord Stimulation
• +3 more

Scott F. Lempka, PhD, serves as an Associate Professor in the Department of Biomedical Engineering at the University of Michigan, Ann Arbor, with a secondary appointment in the Department of Anesthesiology. He leads the Neuromodulation Laboratory and directs Neuromodulation initiatives within the Chronic Pain and Fatigue Research Center, focusing on engineering approaches to advance neurostimulation therapies for chronic pain and neurological disorders. His academic foundation includes: B.S. in Biomedical Engineering from Saint Louis University (2004) M.S. and Ph.D. in Biomedical Engineering from Case Western Reserve University (2008, 2010) Postdoctoral training at the Cleveland Clinic and Louis Stokes Cleveland VA Medical Center Dr. Lempka's research centers on computational and experimental characterization of neuromodulation mechanisms, with three primary thrusts: neurostimulation for chronic pain (investigating therapeutic mechanisms to innovate pain management technologies), spinal cord stimulation (elucidating physiological effects of conventional and novel waveforms), and neural engineering (developing computational models to optimize neural stimulation and recording interfaces). His work bridges engineering principles with clinical neuroscience to enhance therapeutic precision. Analysis of his 2025 publications reveals a pronounced focus on ultra-low frequency neuromodulation, computational modeling of spinal cord stimulation effects, and novel electrode design for targeted neural activation. Key trends include quantitative characterization of evoked compound action potentials, thalamic modulation mechanisms in pain pathways, and engineering solutions for sensory restoration in amputees—demonstrating a cohesive effort to translate computational insights into clinically viable neurotechnologies. His research program is currently supported by three major NIH-funded projects: R01 AT010817 (NCCIH): Model-based characterization of spinal cord stimulation for pain R01 NS121028 (NINDS): Electrode design for selective spinal cord stimulation to restore sensation after lower-limb amputation RM1 NS128775 (NINDS): Defining mechanisms of pain relief in dorsal root ganglion and spinal cord stimulation As Principal Investigator of the Neuromodulation Laboratory, Dr. Lempka integrates computational modeling with experimental validation in swine and rodent models, collaborating closely with the Chronic Pain and Fatigue Research Center to accelerate the development of next-generation neurostimulation therapies with improved clinical outcomes.

Adil KoukabView profile

Lecturer

• Analog Circuit Design
• RF Systems
• Mixed-Signal ICs
• +3 more

Adil Koukab is a Lecturer and Scientific Collaborator at EPFL's School of Engineering (STI), affiliated with the Department of Electrical Engineering (GR-SCI-IEL). He holds teaching roles in multiple EPFL programs, including SEL and SMT teaching units. His research focuses on analog, RF, and mixed-signal IC design, EDA development, and radiation-hardened electronics. He has supervised over 30 M.S. projects and co-supervised several PhDs. Education: M.S. and Ph.D. from Supélec and Metz University. He has been at EPFL since 2000, contributing to teaching four magistral courses and six labs annually for over 400 students across three institutes. He is also a faculty representative in the STI council and the EPFL teaching council. Research Interests: Design and modeling of analog/RF/mixed-signal ICs, radiation effects in CMOS, and EDA tool development. His work addresses challenges in high-energy physics applications, medical imaging sensors (e.g., Medipix4), and power electronics. Recent publications span advancements in pixel detectors, radiation-hardened CMOS, and power converter optimization. His contributions include developing noise-optimized VCOs and substrate coupling models for mixed-signal systems.

• Neuromorphic Engineering
• Spiking Neural Networks
• Analog Integrated Circuits
• +3 more

Willian Soares Girão is a Researcher at the Faculty of Science and Engineering, University of Groningen, working within the Bio-inspired Circuits & Systems group. His research focuses on neuromorphic engineering and analog circuit design for neural networks, with particular emphasis on spiking neural networks and on-chip learning mechanisms for beyond-CMOS device integration. His primary research interests include neuromorphic computing, analog integrated circuits, and bio-inspired circuit design. He investigates synaptic models, attractor networks, and trace generation mechanisms to develop energy-efficient neuromorphic systems that mimic biological neural processing. His work bridges electrical engineering and computational neuroscience through hardware implementations of neural learning rules. Analysis of his 2023-2025 publications reveals a strong trend toward hardware-efficient neuromorphic processors with on-chip learning capabilities. His research spans synaptic normalization circuits, subthreshold integration techniques, and robust attractor networks for adaptive working memory applications. The work consistently integrates analog CMOS circuit design with biologically plausible learning rules while addressing device integration challenges for next-generation neuromorphic systems. Dr. Girão actively contributes to the Bio-inspired Circuits & Systems group at the University of Groningen, collaborating with international researchers on neuromorphic hardware development. His publications in ACM ICONS and IEEE ISCAS demonstrate technical expertise in analog circuit design for spiking neural networks, with multiple papers receiving significant citations and downloads in the neuromorphic computing community.

Snorre AunetView profile

Professor

• Ultra-low-voltage circuits
• Low-power CMOS design
• Subthreshold electronics
• +9 more

Snorre Aunet is a Professor II in the Department of Informatics at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. He is a key member of the Nanoelectronics Systems Research Group and contributes to the 4DSpace project. His academic background includes a Dr. ing. from NTNU (2002) and a cand. scient. from the University of Oslo (1993). His research focuses on ultra-low-voltage and low-power mixed-signal circuits , particularly in subthreshold operation, with applications in IoT, space systems, and energy harvesting. He specializes in radiation-hardened (radhard) and defect-tolerant architectures, leveraging advanced semiconductor technologies like 22nm and 28nm FDSOI. His work integrates circuit design, microarchitecture, and reliability under extreme conditions such as radiation exposure and process variation. The recent trend in his publications shows a strong emphasis on energy-efficient VLSI design , including SRAM cells, adders, level shifters, and flip-flops operating in subthreshold regimes. He has also expanded into MEMS-based energy harvesting and hardware security, demonstrating a broad and evolving research portfolio. His collaborations span institutions and involve both theoretical modeling and practical implementation. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Snorre Aunet has supervised multiple students, including Somayeh Hossein Zadeh, Even Låte, and Ali Asghar Vatanjou, whose names appear as co-authors on several publications. He is involved in the 4DSpace research project, indicating active grant funding and leadership in space-related electronics research. His advising style appears collaborative, with students contributing to high-impact journals and conferences. Labs and Teams: He is a core member of the Nanoelectronics (NANO) research group at the Department of Informatics, which focuses on next-generation electronic systems. This group is engaged in cutting-edge research in nanoscale circuits, low-power design, and robust computing architectures.

• Analog Circuits Design
• Mixed-Mode Electronics
• Low Power Electronics
• +5 more

Maher Kayal is an Honorary Professor at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, affiliated with the School of Engineering (STI) and the Department of Mechanical and Process Engineering (STI-SMT). His primary role involves academic leadership in electronics and energy management research. He holds a Master's and PhD in Electrical Engineering from EPFL (1983 and 1989 respectively), and has been with the Electronics Laboratory (ELab) since 1990, directing the 'Energy Management and Sustainability' section. His work focuses on analog/mixed-signal IC design, energy harvesting, smart grid technologies, and sensor systems. Education: M.S. (1983), Ph.D. (1989) in Electrical Engineering, EPFL. Affiliations: EPFL’s Electronics Laboratory (ELab), School of Engineering. Research interests include ultra-low-power sensor interfaces, energy-efficient electronics for smart buildings, and real-time power grid emulation. He has authored/co-authored three textbooks on mixed-mode CMOS design and holds 11 patents. His work bridges semiconductor physics, circuit design, and energy systems. Recent articles focus on wearable biosensors (ANTIGONE project), blockchain-based smart-building energy management, and high-speed power system emulators. Notable awards include the Credit Suisse Teaching Award (2009) and multiple best-paper prizes at IEEE conferences. He has advised over 30 PhD students, with notable alumni working in semiconductor design and energy systems. His labs pioneer innovations in analog emulation for power systems and IoT-enabled smart infrastructure.

• Neuromorphic Computing
• Symbolic Computation
• Neural Networks
• +3 more

Madison Cotteret serves as a Researcher in the Bio-inspired Circuits & Systems research group at the Faculty of Science and Engineering, University of Groningen (RUG), Netherlands. Her work focuses on neuromorphic computing and hardware implementations of neural networks and symbolic computation. Her research interests encompass the following areas: Neuromorphic Computing Symbolic Computation Neural Networks Computer Hardware Design Bio-inspired Circuits and Systems Event-based Vision Systems Recent publications reveal a cohesive research program centered on neuromorphic hardware for cognitive tasks. Key themes include distributed representations for multi-timescale symbolic computation, event-based vision for ego-motion estimation, and the design of low-power analog circuits for synaptic dynamics. Her work bridges theoretical models with practical hardware realizations, such as the TEXEL neuromorphic processor. Dr. Cotteret is an active member of the Bio-inspired Circuits & Systems group, which focuses on: Designing bio-inspired hardware solutions Developing neuromorphic processors Creating event-based vision sensors Implementing low-power computing systems

Sanjay BanerjeeView profile

Professor

• Nanoelectronics
• MOSFETs
• Beyond-CMOS devices
• +7 more

Sanjay Banerjee is the Cockrell Family Regents Chair Professor of Electrical and Computer Engineering and Director of the Microelectronics Research Center at the University of Texas at Austin. He holds a B.Tech from IIT Kharagpur (1979), M.S. (1981), and Ph.D. (1983) from the University of Illinois Urbana-Champaign. With over 1,000 publications, 35 patents, and 80+ Ph.D. students, his research spans nanoelectronics, 2D materials, spintronics, and photovoltaics. His work includes breakthroughs in graphene-based devices, flexible solar cells, and beyond-CMOS technologies. He has received prestigious awards such as the IEEE Grove Award (2014) and NAI Fellow (2021). His lab operates in the MRC cleanroom, focusing on device fabrication, material growth, and advanced characterization. Education: B.Tech in Electrical Engineering, IIT Kharagpur (1979) M.S. in Electrical Engineering, UIUC (1981) Ph.D. in Electrical Engineering, UIUC (1983) Research Interests: Beyond-CMOS nanoelectronics using 2D materials MOSFET fabrication and modeling Photovoltaic systems with flexible substrates Topological insulator-based spintronic devices Emerging non-volatile memory technologies Awards: 2021: Fellow, National Academy of Inventors 2017: SIA/SRC University Researcher Award 2014: IEEE Andrew S. Grove Award 2004: Industrial R&D 100 Award 1997: Cullen Professorship Lab & Facilities: Leads the Microelectronics Research Center (MRC) with state-of-the-art tools including MBE, CVD systems, and cryogenic magnetotransport setups. His group collaborates on NSF-funded projects and industry partnerships.

Kate Christison-LagayView profile

Assistant Professor

• Neuroscience
• Consciousness Studies
• Auditory Perception
• +3 more

Dr. Kate Christison-Lagay is an Assistant Professor in the Department of Biological Sciences at the University of New Hampshire (UNH), part of the College of Life Sciences and Agriculture. She holds a Ph.D. in Neuroscience from the University of Pennsylvania. Her research focuses on neural mechanisms underlying sensory perception, particularly in auditory and visual systems, and conscious awareness. She teaches courses such as Neuroscience and Behavior (NSB 500), Neurobiology Laboratory (NSB 501), and Neuroethology (ZOOL 777W). Education: Ph.D., Neuroscience, University of Pennsylvania Research Interests: Dr. Christison-Lagay investigates how the brain processes sensory information to generate conscious perception. Her work spans auditory and visual modalities, with emphasis on neural networks involved in stimulus detection, attentional modulation, and cross-modal integration. Techniques include electrophysiological recordings, EEG analysis, and clinical trials involving thalamic stimulation for neurological conditions. Recent studies explore the role of cortical-subcortical interactions in visual awareness and auditory categorization in non-human primates. Publications: Her recent work includes studies on auditory perception mechanisms, visual consciousness networks, and translational neuroscience approaches to epilepsy treatment. Key themes involve understanding neural correlates of conscious experience across sensory domains. Grants & Advising: No specific grants or advisees are listed in the provided materials. She is affiliated with UNH's Biological Sciences department, located in Rudman Hall. Labs/Teams: Affiliated with UNH's Biological Sciences research facilities, though specific lab names are not mentioned in the profile.

Salvatore BaglioView profile

Professor

• Instrumentation and Measurements
• Micro and Nano Sensors
• Nonlinear Dynamics in Measurement Systems
• +4 more

Salvatore Baglio is a Full Professor in the Department of Electric, Electronic and Computer Engineering at the University of Catania, where he also earned his Laurea and Ph.D. in Electronic and Electrical Engineering. He currently serves as Rector’s Delegate for Scientific and Applied Research and is a member of the Board of the Ph.D. program in Electronic and Automation Engineering. His research focuses on instrumentation and measurement systems , particularly leveraging nonlinear dynamics for enhanced sensing and micro/nano sensors for integrated applications. He also investigates smart materials for transducers and nonlinear energy harvesting for self-powered devices. His work bridges theoretical innovation with practical implementation in sensor systems. The 15 most recent representative articles reflect a strong trend in nonlinear methodologies applied to sensing and energy, with a focus on MEMS/NEMS , energy-efficient IoT nodes , and smart transducer design . These span disciplines including instrumentation, nanotechnology, and sustainable electronics, emphasizing innovation in signal detection, material integration, and power autonomy. Scientific Awards: Fellow of the IEEE Editorial and Professional Leadership: Prof. Baglio has served as Editor-in-Chief of the I&M Video Tutorials and is currently Associate Editor-in-Chief of the IEEE Transactions on Instrumentation and Measurements. He is an active member of the IEEE I&M Society AdCom, having served as VP Education (2016–2017) and currently as Executive VP (2018–2019). He is Principal Investigator on multiple national and international research projects funded by private and public institutions, focusing on innovative sensor development. Labs and Research Teams: While not explicitly named, his research is conducted within the instrumentation and sensors group at the University of Catania, likely involving interdisciplinary teams working on microsystems, nonlinear dynamics, and energy harvesting technologies.

• Transcranial Brain Stimulation
• Non-invasive Neuromodulation
• Computational Electromagnetics
• +5 more

Angel V Peterchev is a Professor in Psychiatry and Behavioral Sciences, Neurosurgery, Biomedical Engineering, and Electrical and Computer Engineering at Duke University. He directs the Brain Stimulation Engineering Lab (BSEL) and holds affiliations with the Duke Institute for Brain Sciences and MEDx. Harvard University: B.A. (1999) University of California, Berkeley: M.S. (2002), Ph.D. (2005) His research focuses on transcranial brain stimulation (TMS, tACS) device development, computational modeling of neural activation, and integration with robotics, imaging, and machine learning. He has pioneered technologies like ElevateTMS, SAMT software, and noise-reduction TMS coils. Recent publications emphasize multi-scale modeling , motor threshold algorithms , magneto-genetic interfaces , and neuroimaging-guided stimulation . His work bridges power electronics and clinical neuroscience , aiming to enhance TMS precision and therapeutic applications. Scientific accolades include the 2024 Brainbox Initiative John Rothwell Award . He has secured continuous NIH funding since 2008 and collaborated with institutions globally to translate lab developments into clinical practice. His lab, BSEL, develops quiet TMS devices , individualized dose tools , and multi-modal stimulation systems , while maintaining open-source platforms like SimNIBS.

• Computer Science
• Electrical Engineering
• Circuits and Systems
• +4 more

David Blaauw is the Kensall D. Wise Collegiate Professor of Electrical Engineering and Computer Science (EECS) at the University of Michigan. He has been on the faculty since August 2001. His research focuses on ultra-low-power wireless sensors, near-threshold computing, cognitive computing using analog neural networks, and genomics for precision health. He directs the Michigan Integrated Circuits Lab and has contributed to seminal work in subthreshold circuit design and energy-efficient semiconductor systems. Education: B.S. in Physics and Computer Science, Duke University, 1986 Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, 1991 Professional Experience: Prior to academia, Blaauw worked at Motorola (1986–2001), managing the High Performance Design Technology group and winning the Motorola Innovation Award. He has published over 600 papers, holds 65 patents, and received numerous best-paper awards. Awards & Recognition: 2016 SIA-SRC Faculty Award IEEE Fellow MIT Technology Review’s Top Innovation (201X) Leadership Roles: 曾 served as general chair of the IEEE International Symposium on Low Power and on the ISSCC analog program subcommittee. His research has significantly influenced semiconductor design practices, particularly in energy efficiency.

Thanos SiapasView profile

Professor

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience
• +5 more

Thanos Siapas is a Professor of Computation and Neural Systems and Executive Officer for the same department at the California Institute of Technology (Caltech), within the Division of Biology and Biological Engineering. He holds a B.S., M.S., and Ph.D. from MIT (1990–1996). His academic journey at Caltech began in 2002 as an Assistant Professor, advancing to his current rank. His research focuses on network mechanisms of learning and memory, systems neuroscience, computational neuroscience, and neurotechnology. Key areas include hippocampal-neocortical interactions, neural circuit dynamics, and the development of advanced recording and analytical tools like multi-electrode arrays and the DataJoint framework. Siapas’s work combines experimental approaches—such as two-photon imaging and chronic recordings—with theoretical modeling to study how memories form and consolidate. He pioneers technologies like nanofabricated neural probes and wireless neural amplifiers for studying freely moving animals. His administrative role as Executive Officer reflects leadership in shaping interdisciplinary research and education in computation and neural systems. Publications highlight his contributions to understanding hippocampal ripples, UP-DOWN states, and dopamine signaling. Collaborations with engineers and neuroscientists underscore his translational focus, bridging basic research with neurotechnological applications. His lab’s innovations aim to decode neural circuit dynamics and advance tools for analyzing large-scale neuroscience data.