Swiss Federal Institute of Technology in LausanneSwitzerland
Elison Matioli is a Professor at the Institute of Electrical Engineering (STI) at EPFL and director of the POWERlab. He holds a B.Sc. in Applied Physics and Applied Mathematics from Ecole Polytechnique (France), a B.Sc. in Electrical Engineering from the University of São Paulo (Brazil), and a Ph.D. in Materials Science from the University of California, Santa Barbara. His postdoctoral research at MIT focused on electrical engineering and computer science. His research centers on advanced semiconductor devices, particularly GaN-based power electronics, microfluidic cooling systems, and nanotechnology innovations for high-power applications. Key areas include developing high-efficiency GaN transistors, optimizing power conversion systems, and exploring terahertz generation through nanoplasma switches. His work emphasizes integrating novel materials (e.g., diamond, LiNiO) and cooling solutions to enhance device performance and reliability. Publications highlight breakthroughs in GaN power devices, microfluidic integration for thermal management, and ultrafast switching technologies. His contributions span device physics, fabrication techniques, and energy-efficient systems, with applications in next-generation power electronics and renewable energy infrastructure.
Swiss Federal Institute of Technology in LausanneSwitzerland
Kyojin Choo is a Tenure Track Assistant Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the School of Engineering , affiliated with the Mixed-Signal Integrated Circuits Lab (MSIC-LAB). He also holds teaching roles in Microengineering and Electrical and Electronics Engineering at EPFL. B.S. and M.S. in Electrical Engineering from Seoul National University (2007, 2009) Ph.D. in Electrical Engineering from the University of Michigan (2018) His research focuses on charge-domain analog/mixed-signal circuits , low-power sensor interfaces , and compact ADCs for IoT, wearables, and millimeter-scale systems. He has pioneered charge-injection cell techniques for energy-efficient circuits in energy management, sensor front-ends, and communication. His work emphasizes reducing power consumption to nanowatt levels while enabling ultra-compact designs. His recent publications highlight advancements in compact SAR ADCs , low-power MEMS accelerometers , millimeter-scale imaging systems , and ultra-low-power timing generators . His research integrates charge-domain circuit design with sensor interface optimization , energy harvesting , and high-speed link architectures . He holds over 20 US patents and has taught courses in Microengineering and Electrical Engineering at EPFL. His group (MSIC-LAB) addresses challenges in battery-free sensor design, power-constrained system scaling, and commercialization of wearables with unconventional form factors.
Swiss Federal Institute of Technology in LausanneSwitzerland
Halil Andac Yigit is a Doctoral Assistant at the Telecommunications Circuits Laboratory (TCL) within the School of Engineering (STI) at EPFL. He is affiliated with the Institute of Microengineering (IEM) and pursues a Doctoral Program in Electrical Engineering through the École Doctorale d'Électronique et d'Electrotechnique (EDoc). His research focuses on biomedical circuits, energy harvesting, and low-power electronics for medical implant systems. Yigit's work emphasizes implantable cochlear devices, wireless power solutions, and precision neural stimulation interfaces. Education : Current doctoral student in Electrical Engineering at EPFL. Research Interests : Development of energy-efficient biomedical devices, including cochlear implants and neural stimulation systems. Specializes in low-power circuits for medical applications, wireless power transfer, and advanced memory technologies like eDRAM optimization. His research bridges microelectronics design with clinical needs, aiming for miniaturization and energy autonomy in implantable systems. Lab Affiliation : Telecommunications Circuits Laboratory (TCL), EPFL, where he collaborates on projects involving MEMS-based systems and autonomous medical devices.
Swiss Federal Institute of Technology in LausanneSwitzerland
Pavel Kejik is a part-time Lecturer at the Swiss Federal Institute of Technology Lausanne (EPFL), affiliated with the School of Engineering. He joined EPFL's Institute of Microelectronics and Microsystems in 1999 and concurrently works at Monolithic Power Systems (formerly Sensima Technology SA) since 2014. His dual industry-academia role focuses on magnetic sensor industrialization. Education: Diploma degree, Czech Technical University in Prague (1994) PhD, Czech Technical University in Prague (1999) Research Interests: Dr. Kejik specializes in integrated magnetic sensor systems, including Hall effect and fluxgate magnetometry. His work emphasizes low-noise circuit design, offset cancellation techniques, CMOS integration, and applications in contactless current measurement, angular sensing, and non-destructive testing (NDT). Key innovations involve micro-Hall probes, orthogonal fluxgate structures, and noise-reduction methodologies for industrial applications. Publication Trends: His recent articles (2007-2014) demonstrate a consistent focus on CMOS-integrated magnetic sensors, particularly Hall effect devices and fluxgate systems. Research themes include miniaturization, power efficiency optimization, angular position detection, and novel compensation architectures for industrial sensing applications. Advising: Supervised one PhD student: Özge Zorlu. No grants or awards mentioned. Industry Collaboration: Active in sensor industrialization through Monolithic Power Systems and contributes to the Europractice course 'Smart Sensor Systems'. Patents cover innovations in Hall arrays, fluxgate structures, and magnetic anomaly detection.
Swiss Federal Institute of Technology in LausanneSwitzerland
Seyed Armin Tajalli is a Visiting Professor at the École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI), Institute of Electrical Engineering (IEM), and Integrated Neurotechnologies Laboratory (INL). He has extensive experience in ultra-low power integrated circuit design and high-speed serial communication systems. Dr. Tajalli received his B.S.E.E. and M.S.E.E. degrees (with honors) from Sharif University of Technology, Tehran, and Tehran Polytechnic University in 1997 and 1999, respectively. He earned his Ph.D.E.E. on low-power integrated circuit design techniques in 2010 from EPFL. Prior to his academic career, he worked with Emad Semicon from 1998-2006 as a senior analog/RF design engineer and technical manager. His research focuses on ultra-low power circuit design, including subthreshold source-coupled logic, analog/mixed-signal circuits, data converters, and serial data transceivers. His work addresses critical challenges in low-power design, high-speed communication, and energy-efficient circuit implementations. Recent publications demonstrate his expertise in spectrum shaping techniques, crosstalk reduction, and high-speed serial links for memory interfaces and multi-drop communication systems. Dr. Tajalli's publications span high-impact journals and conferences including IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems, and major conferences like ISSCC, ISCAS, and VLSI Symposium. His research demonstrates consistent innovation in low-power circuit techniques with practical applications in high-speed communication systems. Kharazmi Award on Research and Development, 2000 Outstanding Design Engineer, Emad Semicon, 2001 Presidential Award of the best Iranian researchers, 2003 ACM/CICC Award, 2009 EPFL Prime Special Award, 2009 Dr. Tajalli has advised PhD students including Kiarash Gharibdoust, whose thesis focused on Hybrid NRZ/Multi-Tone Signaling for High-Speed Low-Power Wireline Transceivers. His collaborative work with the ALGO team has resulted in significant contributions to high-speed serial data transceiver architectures. His research has been supported by various academic and industrial partnerships focused on advancing integrated circuit design techniques. His work is primarily conducted within EPFL's Integrated Neurotechnologies Laboratory (INL) and previously with the Microelectronic Systems Laboratory (LSM). These labs provide state-of-the-art facilities for mixed-signal IC design, characterization, and testing, supporting his research in ultra-low power circuits and high-speed communication systems.
Swiss Federal Institute of Technology in LausanneSwitzerland
Adrian M. Ionescu is a Full Professor at the Department of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL). He directs the Nanoelectronic Devices Laboratory (Nanolab) and contributes to the Doctoral Program in Microsystems and Microelectronics. His research bridges nanoelectronics, quantum computing, and biomedical sensing. B.S./M.S. in Electronics, Politehnica University Bucharest Ph.D. in Microelectronics, Politehnica University Bucharest Ph.D. in Physics of Semiconductor Devices, INPG Grenoble Research spans energy-efficient nanoelectronics , steep-slope switches , quantum computing qubits , edge AI sensors , and lab-on-skin wearable systems . Key projects include ERC Advanced Grant Milli-Tech for millivolt technology, DIGIPREDICT for digital twins in healthcare, and Sinergia NeMO for memristors. Recent publications focus on 2025 VO 2 phase-change devices, 2024 graphene biosensors, and 2023 III-V tunnel FETs. Awards include the 2024 IEEE Cledo Brunetti Award , 2017 IEEE George Smith Award , and IBM Faculty Award (2013) . As EPFL doctoral program director, he has guided 10+ PhD students in biosensing, ferroelectric FETs, and neuromorphic systems.
Dr. Roberto Dinapoli is a Principal Researcher and team leader at the Paul Scherrer Institute (PSI), specializing in microelectronics for high-energy physics and photon science. He earned his PhD from Université Montpellier II and holds a degree in Electronic Engineering from Polytechnic University of Bari. Education: PhD in Microelectronics (Université Montpellier II), Electronic Engineering (Politecnico di Bari) His research focuses on radiation-hard hybrid pixel detectors for synchrotrons and free-electron lasers (XFELs), including the development of EIGER, MÖNCH, MYTHEN III, and DOMINO chips. These systems enable high-resolution imaging, charge integration, and single-photon counting under extreme radiation environments. Recent publications highlight advancements in 25 µm pitch detectors, charge transport simulations using deep learning, and quantum efficiency optimization for soft X-rays. His work impacts applications in synchrotron radiation, nanoelectronics metrology, and high-speed imaging. Key Projects: EIGER (24kHz framing), MÖNCH (25µm pixel), MYTHEN III (50µm strips), DOMINO (2GHz memory) Dinapoli actively collaborates on detector patents licensed to DECTRIS and participates in EUROPRACTICE/CADENCE software management. He leads the Chip Design Competence Team (CDCT) at PSI.
Dr. Thomas Burger is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on advanced CMOS sensor systems, biomedical electronics, and wearable medical devices. Key areas include the development of high-resolution tactile sensors, energy-efficient wireless systems, and molecular diagnostics platforms. His work integrates cutting-edge semiconductor technologies with applications in healthcare monitoring and environmental sensing. Education: While specific academic qualifications are not detailed, his role as a lecturer at ETH Zürich implies a strong background in electrical engineering and integrated circuits, likely including a PhD in a related field. Research interests prominently feature: CMOS-based sensor arrays for gas detection and molecular analysis Low-power wireless communication systems (e.g., wake-up receivers) Biomedical instrumentation for MRI and wearable health monitoring Material science innovations for antifouling and flexible electronics Publications span 2025 to 1995, emphasizing interdisciplinary advancements in sensor technology and medical electronics. His work bridges microelectronics design with real-world applications in healthcare, environmental monitoring, and robotics.
Western Switzerland University of Applied SciencesSwitzerland
Patrick Ruch is a Professor at the Geneva School of Economics and Management (HES-SO), specializing in bioinformatics, text mining, and computational methods for health sciences. He leads research in areas such as machine learning applications in biomedical research, research data management, and natural language processing for scientific literature triage. His work emphasizes improving reproducibility, equity in publishing, and the integration of AI in healthcare. Key affiliations include the SIB Swiss Institute of Bioinformatics and the ArODES initiative. Research interests focus on leveraging AI to enhance data-driven decision-making in medicine, addressing systemic biases in academic publishing, and developing tools for genomic variant curation. He has collaborated extensively on international projects like BiCIKL and DOME, advancing FAIR data principles and open science practices.
Frank Kagan Gürkaynak is Director of the Microelectronics Design Center (DZ) and a Researcher at ETH Zurich's Department of Information Technology and Electrical Engineering (D-ITET). He leads the PULP open-source hardware project and works closely with Prof. Luca Benini in the Integrated Systems Laboratory (IIS). His academic journey includes BSc/MSc from Istanbul Technical University and a PhD from ETH Zurich. Roles: Microelectronics Design Center Director, Senior Scientist in IIS, VLSI course lecturer Research focuses on energy-efficient digital circuits, cryptographic hardware security, and open-source processor architectures. Key projects include EU-funded initiatives like European Processor Initiative (EPI), Convolve, and NeuroSoC, along with SNSF grants Tiny Trainer and PEDESITE. Active in teaching VLSI design, embedded systems, and essential engineering skills. Publications emphasize secure cryptographic accelerators, low-power processor clusters, and GALS system design methodologies. Contributions include energy-efficient ASICs for IoT to HPC domains and pioneering work in side-channel attack-resistant hardware.
Swiss Federal Institute of Technology in LausanneSwitzerland
Charlotte Frenkel is a Tenure-Track Assistant Professor in the Microelectronics Department at Delft University of Technology (TU Delft), where she leads research in neuromorphic engineering and low-power AI hardware. Her work bridges the gap between biological intelligence and artificial neural networks, focusing on energy-efficient computing at the edge. Dr. Frenkel's research spans digital and mixed-signal IC design, computer architecture, learning algorithms, and neuroscience. She directs the Cognitive Sensor Nodes and Systems (CogSys) lab, which develops neuromorphic processors like ODIN, MorphIC, SPOON, and ReckOn that demonstrate competitive advantages over conventional neural network accelerators. Her publications reveal a strong focus on spiking neural networks, event-based processing, and on-chip learning. Key trends include developing hardware that leverages sparsity for energy efficiency, creating bio-inspired learning algorithms that solve weight transport and update locking problems, and establishing frameworks for benchmarking neuromorphic systems through initiatives like NeuroBench. Scientific Awards: IBM Innovation Award 2021 Nokia Bell Labs Scientific Award 2021 IEEE ISCAS 2020 Best Paper Award NEUROTECH/NICE Best Early Researcher Presentation 2021 AiNed Fellowship Grant Dr. Frenkel is actively expanding her research group through PhD and postdoc positions. She serves as Associate Editor for IEEE Transactions on Biomedical Circuits and Systems and Frontiers in Neuroscience, and has held numerous leadership roles in conference organization including Program Chair for tinyML Research Symposium 2024 and Neuro-Inspired Computational Elements conference 2023-2024. Her service includes extensive reviewing activities for top IEEE journals and conferences in her field.
University of Applied Sciences and Arts LucerneSwitzerland
Diego Barrettino is a Lecturer at the Institute of Electrical Engineering IET CC Digital Energy and Electric Power, part of the Lucerne School of Engineering and Architecture at Lucerne University of Applied Sciences and Arts. His work focuses on advanced sensor systems, biomedical electronics, and IoT applications. Key projects include the development of portable medical devices for elderly health monitoring, smart agriculture sensors for grain moisture analysis, and implantable systems for cardiovascular monitoring. He also leads initiatives like the ExoFET and SmartCuff projects, emphasizing wearable and low-cost medical technologies. Barrettino’s research integrates CMOS technology, microelectronics, and sensor design to address challenges in healthcare, agriculture, and industrial applications. His contributions span from low-power biomedical circuits to smart sensor networks, with a focus on practical, cost-effective solutions. Recent trends in his publications highlight advancements in implantable systems, IoT-enabled agriculture monitoring, and portable diagnostic tools. Notable achievements include pioneering work on capacitive and inductive sensors for industrial and medical use, as well as innovations in microhotplate-based gas sensor systems. His interdisciplinary approach bridges electrical engineering with applications in healthcare and environmental monitoring, reflecting a commitment to real-world problem-solving.
Swiss Federal Institute of Technology in LausanneSwitzerland
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.
University of Applied Sciences and Arts Northwestern SwitzerlandSwitzerland
Renato Minamisawa serves as Professor of Physics and Head of the Physics Laboratory at the School of Engineering and Environment, University of Applied Sciences and Arts Northwestern Switzerland (FHNW), a position held since 2016. His academic credentials include: Doctorate in Physics, RWTH Aachen, Germany (2008-2011) Master's in Physics, Alabama A&M University, USA (2006-2008) Bachelor's in Medical Physics, University of Sao Paulo, Brazil (2001-2005) Specializing in experimental solid-state physics, Minamisawa focuses on nano- and microelectronic components with current research targeting energy-efficient power semiconductors and photovoltaics. His prior work encompasses sensor development and restructured materials, which he plans to revisit. He values Switzerland's flat hierarchies and high technical expertise while appreciating improvisational approaches from Brazil, innovative research culture from the US, and precision from Germany. Minamisawa leads the physics laboratory at FHNW where he integrates teaching with applied research, having previously taught at ETH Zurich. His transition from ABB Research Center in 2016 was motivated by renewed passion for student interaction and physics education. Outside academia, he enjoys family life with his wife Sarah and children Samuel (4) and Isabel (2), along with 30 years of jazz guitar performance, hiking, swimming, and jogging in Swiss landscapes.
Swiss Federal Institute of Technology in LausanneSwitzerland
Adrian M. Ionescu is a Professor at the Nanoelectronic Devices Laboratory (Nanolab) within the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL) , Switzerland. His work spans nanoelectronics , quantum computing , and energy-efficient technologies , with a focus on steep-slope transistors , ferroelectric materials , and digital twins for healthcare . He leads major European projects like DIGIPREDICT and Milli-Tech , pioneering low-power devices for IoT and quantum systems . Education: B.S./M.S. in Electronics and Telecommunications (1989, Politehnica University Bucharest); PhD in Microelectronics (1994, Bucharest) and Physics of Semiconductor Devices (1997, Grenoble INP). Research Interests: Beyond CMOS devices, quantum qubits , edge AI sensors , ferroelectric negative capacitance , and lab-on-skin technology for biofluid analysis . Scientific Awards: IEEE Cledo Brunetti Award (2024) IEEE George Smith Award (2017) IBM Faculty Award (2013) André Blondel Medal (2009) Swiss Academy of Sciences (SATW) Member (2015) Leadership: Founder of Nanolab; former Director of EPFL's Doctoral Program in Microsystems and Microelectronics; Editor of IEEE Transactions on Electron Devices; Technical Chair of IEEE conferences. Grants & Projects: Advanced ERC Grant for Milli-Tech (energy-efficient DIGIPREDICT (digital twins for disease prediction), and SINERGIA NEMO (neuromimetic memristors). Students: Supervised over 40 PhD students, including Ehsan Ansari, Fabio Bersano, and Vanessa Conti, working on quantum dots , sweat biomarkers , and van der Waals heterostructures . Lab Focus: Nanolab develops low-power nanoelectronics , quantum computing architectures , and sustainable fabrication processes using non-toxic materials .
