Stefano Del Giovane is a Doctoral Assistant and PhD student in the Doctoral Program in Microsystems and Microelectronics at EPFL. He is affiliated with the Bionanophotonic Systems Laboratory (BIOS), part of the School of Engineering (STI). His research focuses on advanced microsystems engineering, photonics, and nanotechnology, with specific applications in bionanophotonic systems. Located at BM 4125 (Bâtiment BM), Station 17, 1015 Lausanne, he contributes to interdisciplinary projects at the intersection of engineering and life sciences.
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.
Mehdi Ali Gadiri is a Researcher and Doctoral Assistant at the École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with the MicroBioRobotic Systems Laboratory within the Institute of Microtechnology (IGM) under the School of Engineering (STI). He also serves as the PhD Student Representative for the Doctoral Program in Microsystems and Microelectronics (EDMI). His research focuses on biomedical robotics, medical device innovation, and microtechnology applications in healthcare. Gadiri holds a doctoral position in Microsystems and Microelectronics, contributing to interdisciplinary projects at the intersection of engineering and medicine. His work includes developing advanced medical instruments, AI-driven clinical tools, and diagnostic technologies such as SARS-CoV-2 antigen testing and NT-proBNP detection systems. Gadiri’s contributions span from microactuator design to clinical decision-making frameworks, reflecting a strong emphasis on translating engineering solutions into practical medical applications. He is based at the MED 3 2815 office in Lausanne, Switzerland.
Berke Erbas is a researcher at the École polytechnique fédérale de Lausanne (EPFL) within the Department of Microengineering under the School of Engineering . His work focuses on advancing nanofabrication techniques through thermal scanning probe lithography (t-SPL) and complementary methods like reactive ion etching (RIE) and nanoimprint lithography (NIL). Education : Doctoral candidate at EPFL, specializing in semiconductor strain engineering and quantum device fabrication. Research interests center on grayscale nanopatterning, 2D material engineering, and quantum hardware development. His innovations in strain-controlled MoS 2 transistors have demonstrated significant electron mobility improvements ( 185 cm²/V.s ), while hybrid t-SPL/DSA approaches address sub-20 nm fabrication challenges. Publication trends reveal expertise in combining top-down lithography with bottom-up material assembly, enabling contamination-free interfaces and scalable CMOS-compatible processes. Applications span transparent electronics, photonic devices, and quantum computing. Labs & Collaborations : A core member of the LMIS1 laboratory , with collaborations across EPFL's Center of Micro/Nanotechnology (CMI), ETH Zürich, and international institutions. His work integrates interdisciplinary methodologies from materials science, quantum physics, and advanced manufacturing.
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.
Sitian Li is a Doctoral Assistant at the Telecommunications Circuits Laboratory (TCL) , affiliated with the School of Engineering at École polytechnique fédérale de Lausanne (EPFL). Their work focuses on telecommunications and circuits engineering. Contact: sitian.li@epfl.ch Current affiliation: EPFL School of Engineering Telecommunications Circuits Laboratory (TCL) Research interests span advanced communication systems, signal processing, microelectronics, and digital systems. The laboratory is located at ELD 131 (Bâtiment ELD), Station 11, 1015 Lausanne, Switzerland.
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.
Desirée Maulà is a Researcher affiliated with the Laboratory for Soft Bioelectronic Interfaces at the École Polytechnique Fédérale de Lausanne (EPFL) , under the School of Engineering . She is also a doctoral student in the Doctoral Program in Microsystems and Microelectronics . Primary Affiliation : Chaire Fondation Bertarelli de technologie neuroprosthétique Department : Laboratory for Soft Bioelectronic Interfaces (LSBI) Academic Status : Doctoral student in Microsystems and Microelectronics Her research focuses on neuroprosthetic technologies, integrating principles from bioengineering, soft bioelectronics, neural interfaces, and microsystems engineering. This work aligns with the development of advanced medical devices and neurotechnologies to address clinical challenges.
Eloi Collette is a Researcher at the Laboratory of Electronics and Nanoscale Structures (LANES) within the Institute of Materials at the School of Engineering , École Polytechnique Fédérale de Lausanne (EPFL). He is also a doctoral student in the Doctoral Program in Microsystems and Microelectronics and serves as a Doctoral Student Representative for this program. Research Focus: His work revolves around nanoscale electronics, semiconductor materials, and microsystem technologies. The interdisciplinary nature of his research aligns with advanced materials science and applied physics in engineering contexts. Roles and Affiliations: Doctoral Assistant at EPFL STI IEM LANES Doctoral Student, Microsystems and Microelectronics (EDMI) Member of the STI Faculty Council Student Representative in the Microsystems and Microelectronics Program Contact: Located in BM 2143, EPFL, Lausanne, Switzerland. Phone: +41 21 693 34 34.
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.
Vadym Yermolayev serves as a Professor at the Department of Computer Science and Information Technology within the Faculty of Applied Sciences at Ukrainian Catholic University (UCU). He leads UCU's PhD program in Intelligent Systems and holds an Honorary Professorship at Kherson State University. His academic work focuses on semantic technologies, ontology engineering, and knowledge graph construction, with active participation in international research projects and organizations like ACM and ELLIS. Professor of Semantic Technologies Head of PhD Program in Intelligent Systems Honorary Professor at Kherson State University Member of ACM and ELLIS Research Interests span semantic technologies, ontology engineering, and knowledge representation, with applications in education, industrial analytics, and anti-corruption systems. His work integrates machine learning with formal knowledge modeling and develops frameworks for knowledge ecosystem dynamics. Scientific Contributions include leading research groups at Zaporizhia National University and collaborating on European Commission-funded projects. He has published extensively in ICTERI conference proceedings and developed methodologies for terminology saturation analysis and ontology alignment. Honorary Professor at Kherson State University Member of ACM (Association for Computing Machinery) Member of ELLIS (European Laboratory for Learning and Intelligent Systems) Professional Involvement includes external expert roles for European Commission programs (FP6, FP7, H2020) and industrial consulting with Cadence Design Systems GmbH.
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.
Chang Liu is a Doctoral Assistant at the Advanced Quantum Architecture Lab (AQUA), part of the School of Engineering (STI) and Department of Integrated Energy Systems (IEM) at EPFL. His doctoral program is in Electrical Engineering within the Doctoral School EDEE (Doctoral Program in Electrical Engineering). He is affiliated with the AQUA lab, focusing on quantum architecture and related interdisciplinary research. Contact: MC A3 257 office, +41 21 693 82 52. Research interests are inferred from his department and lab affiliation, including quantum computing, advanced quantum systems, and energy systems integration. His work contributes to the development of cutting-edge technologies in the field of quantum architecture and electrical engineering. Labs/Teams: Active member of the Advanced Quantum Architecture Lab (AQUA), which explores quantum technologies and their applications in energy and systems engineering.
Armin Taghipour is a Professor in Signal Processing and Acoustics at the Institute of Electrical Engineering, Lucerne School of Engineering and Architecture. He leads the Research Group Waves & Signal Processing and oversees Continuing and Executive Education in Innovation & Technology. His roles include MSE Advisor in the HSLU Master of Science program and President of the Swiss Acoustical Society SGA-SSA. Education: B.Sc. Microelectronics (University of Guilan, Iran), M.Sc. Telecommunications (University of Hanover, Germany), Dr. Eng. in Psychoacoustics (International Audio Laboratories Erlangen, Germany). Professional expertise spans audio signal processing, psychoacoustic modeling, noise annoyance evaluation, and acoustic comfort design. He has conducted research at Empa, Fraunhofer IIS, and the Hanover Medical School. Research focuses on urban acoustics, noise mitigation, room acoustics optimization, and psychoacoustic experiments. Recent work addresses soundscape quality in residential areas, cognitive impacts of noise, and AI-driven odor classification systems. Over 50 publications span environmental acoustics, audio engineering, and multidisciplinary applications. Lab leadership: Head of Research Group Waves & Signal Processing Key projects: Soundscape design, autonomous acoustic measurement systems, and green healthcare building acoustics Grants: IDN Performance Lab project leadership (2022) Labs/Teams: Active in the Institute of Electrical Engineering's Autonomous Systems & Robotics division, collaborating with DAGA, EAA, and SGA-SSA.
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.
