Swiss Federal Institute of Technology in LausanneSwitzerland
Gabriele Facciolo is a Professor at the Centre Borelli, ENS Paris-Saclay, France. He is a Senior Member of the Institut Universitaire de France (IUF) and holds an Innovation Chair (2025). His research focuses on image and video processing, remote sensing, and super-resolution techniques. Current affiliations: Centre Borelli (ENS Paris-Saclay), Institut Universitaire de France His research explores advanced algorithms for satellite stereo pipelines, real-time deblurring, denoising, and explainable AI systems for legal evidence enhancement. He coordinates projects like ANR SURECAVI (Super-resolution for visible camera systems) and ANR IMPROVED (video enhancement for judicial use), with recent work on Gaussian Splatting for Earth Observation and multi-date satellite super-resolution. Notable scientific achievements include the IGARSS 2025 Top 10 Student Paper Award and leadership in projects funded by ANR (€890k) and Prime Minister's entities (SGDSN/ANSSI). His work bridges computational imaging, defense applications, and digital forensics. Project leadership: SURECAVI, IMPROVED, BOFOR Key technologies: GPU acceleration, real-time processing, optical flow estimation, RPC refinement Gabriele actively contributes to open-source tools like S2P (Satellite Stereo Pipeline), MGM (MultiGlobal Matching), and OMNIflip. He teaches in the Master MVA program and collaborates across institutions (ENPC, UPF).
Prof. Dr. Soeren Lienkamp is an Assistant Professor at the Institute of Anatomy , Faculty of Medicine , University of Zurich . His work bridges digital education and genetic research , focusing on enhancing medical teaching through innovative formats. Research Interests : Genetics, developmental biology, kidney disease modeling, CRISPR applications, digital medical education, and advanced microscopy. Methodologies : Combines Xenopus tropicalis models, deep learning , and bioengineering to study genetic kidney disorders and improve diagnostic tools. Publication Trends : His recent articles highlight predictable genome editing , 3D imaging technologies , and mechanistic insights into kidney and eye development. Earlier works focus on ciliary function , Wnt signaling , and metabolic stress in renal cells.
Aldo Mozzanica is a Researcher at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Laboratory for X-ray Nanoscience and Technologies. He holds a degree in Physics from Insubria University and a Ph.D. from the University of Milan, where his doctoral work focused on scintillating fiber vertex detectors for CERN's Antiproton Decelerator facility. At PSI, he leads detector development projects for synchrotron and free-electron laser applications. His research centers on advancing X-ray detector technology, including: Developing next-generation integrating pixel/strip detectors (JUNGFRAU, GOTTHARD) Improving frame rates, noise performance, and radiation hardness Exploring novel detector concepts for XFEL/synchrotron applications Enabling new experimental capabilities in structural biology and materials science Mozzanica's 135+ publications focus on X-ray detector innovation, with recent work emphasizing: Hybrid pixel detector optimization for 4th-generation light sources On-chip digitization and charge transport modeling High-speed data acquisition systems Applications in crystallography, spectroscopy, and phase-contrast imaging As principal developer of the JUNGFRAU detector, he oversees: ASIC design, testing, and characterization Readout electronics and firmware development Module production and supply chain management Commissioning at SwissFEL endstations
Juerg Leuthold is a Full Professor and Head of the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zürich, Switzerland. He also leads the Institute of Electromagnetic Fields (IEF) at the same institution. His academic career spans leadership roles at ETH Zürich, Karlsruhe Institute of Technology (KIT), and Bell Labs, with expertise in photonics, plasmonics, and THz technology for communication and sensing applications. Research Interests Photonics for high-speed communication Plasmonics and nonlinear optical signal processing Terahertz technology Applications in sensing and network systems Scientific Awards Optica Fellow IEEE Fellow ERC Advanced Grant (2015) Landesforschungspreis (Baden-Württemberg, 2009) Leadership & Committees Head of D-ITET (2023–present) General Chair of ECOC 2022 Board of Directors, OSA/Optica
Swiss Federal Institute of Technology in LausanneSwitzerland
Yen-Cheng Liu is a former researcher at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (BIOS) and multiple departments including LCOM and CMI. His work focuses on interdisciplinary research at the intersection of biomedical engineering, nanotechnology, and cancer biology. Key research areas include nanoplasmonic biosensors, single-cell analysis, optofluidic systems, and cancer immunology. He holds collaborations with institutions like the University of Lausanne and the Centre Hospitalier Universitaire Vaudois (CHUV). His research emphasizes real-time monitoring of cellular secretions, tumor microenvironment dynamics, and diagnostic platform development for pathogens and genetic diseases. Notable contributions include high-throughput microarray technologies for single-cell secretion profiling and optofluidic platforms for molecular diagnostics. Liu’s publications span journals like Advanced Science , Advanced Functional Materials , and Biosensors and Bioelectronics . His work integrates engineering principles with biological systems to address challenges in precision medicine and cancer therapy.
Swiss Federal Institute of Technology in LausanneSwitzerland
Andreas Peter Burg is a Tenured Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Telecommunications Circuits Laboratory (TCL) within the School of Engineering. He holds multiple academic and administrative roles at EPFL including Associate Professor in Teaching (SEL, EDMI, EDEE), Director of SEL Management, and Member of the Doctoral Program Committee for Electrical Engineering. Dr. Burg received his Dipl.-Ing. degree in 2000 and Dr. sc. techn. degree in 2006 from ETH Zurich. His academic career includes positions as SNF Assistant Professor at ETH Zurich (2009-2011) before joining EPFL in January 2011 as a Tenure Track Assistant Professor, where he was promoted to Tenured Associate Professor in June 2018. His research focuses on circuits and systems for telecommunications , with particular expertise in silicon implementation of communication technologies, communication algorithms optimization for hardware, low-power VLSI signal processing, and digital integrated circuits. His work bridges theoretical communication concepts with practical circuit implementations, addressing challenges in wireless and wired communication systems. His recent publications (2024-2025) demonstrate a strong focus on next-generation communication technologies including 6G systems, advanced error correction coding, wireless sensing applications, and ultra-low power circuit design. These works span multiple subfields from LDPC and polar code decoding to RF signal processing and machine learning applications in wireless systems. Willi Studer Award (2000) ETH Medal for diploma thesis (2000) ETH Medal for Ph.D. dissertation (2006) Swiss National Science Foundation Assistant Professorship grant (2008) Dr. Burg has been involved in the development of more than 25 ASICs throughout his career and co-founded Celestrius, an ETH spinoff in MIMO wireless communication. His laboratory work focuses on practical implementations of communication algorithms with emphasis on power efficiency and hardware optimization. Current research directions include 6G technologies, wireless sensing applications, and novel error correction techniques for next-generation communication systems.
Dr. Sung Sik Lee serves as a Lecturer in the Department of Materials at ETH Zurich, Switzerland. Affiliated with ScopeM (Scientific Center for Optical and Electron Microscopy), he develops microfluidic platforms for real-time cellular analysis at the HPM C 52.2 facility (Otto-Stern-Weg 3, Zürich). His research bridges engineering and biology to investigate cellular responses to mechanical and chemical stimuli. His primary research domains include: Microfluidics : Design of microfabricated devices for cell stretching, particle separation, and dynamic stimulation Cellular Aging : Mechanisms of chromosome loss and nuclear pore complex reorganization in yeast models Nanotoxicology : Impact of nanoplastics on macrophage inflammation and intestinal barrier integrity Advanced Imaging : Application of holotomography and Raman spectroscopy for label-free cellular analysis His work consistently targets translational applications in disease modeling and diagnostics. Analysis of his 50+ publications reveals strong interdisciplinary integration, particularly the convergence of machine learning with microscopy (e.g., automated vacuole quantification in yeast) and the development of open-access resources like MicrobioRaman. Recent trends emphasize nanoparticle-cell interactions and microfluidic solutions for inflammatory conditions including IBD and acute kidney injury. Dr. Lee actively contributes to ScopeM's mission of advancing microscopy techniques, maintaining collaborations across ETH Zurich's research ecosystem. His laboratory focuses on microfluidic device fabrication, cellular mechanotransduction studies, and biophysical characterization of particles and cells, with ongoing projects extending through 2025.
Swiss Federal Institute of Technology in LausanneSwitzerland
Florent Krzakala is a Full Professor at École polytechnique fédérale de Lausanne (EPFL) in Switzerland, holding positions across multiple departments including the School of Basic Sciences (SB), School of Engineering (STI), and specifically within the Department of Physics (IPHYS) and Department of Electrical Engineering (IEM). He leads the Information, Learning and Physics Laboratory (IdePHICS) and maintains an office at ELD 239, Station 11, 1015 Lausanne. His research bridges statistical physics and computational disciplines, with significant contributions to understanding the theoretical foundations of machine learning and optimization problems. Dr. Krzakala received his MSc in Physics from Orsay, France in 1999, followed by a PhD in Statistical Physics from Orsay, Paris XI, France in 2002, and completed a postdoctoral position at Roma La Sapienza in 2004. This strong foundation in physics has informed his interdisciplinary approach to computational problems. His research interests span Statistical Physics, Machine Learning, Probability and Statistics, Computer Science, Information Theory, Inference on Graphs, Random Constraint Optimization, and Computational Optics. Krzakala's work focuses on applying methods from statistical physics to problems in theoretical computer science, probability, and machine learning. He investigates how concepts from disordered systems and phase transitions can illuminate computational barriers in optimization and inference tasks. His research has particular relevance for understanding the behavior of neural networks, compressed sensing, and high-dimensional statistical models. Analysis of his recent publications reveals a strong trend toward understanding the fundamental limits of learning in high-dimensional settings, with particular emphasis on phase transitions, statistical-to-computational gaps, and the theoretical properties of deep learning architectures. His work frequently bridges rigorous mathematical analysis with practical machine learning applications, demonstrating how insights from statistical physics can inform algorithm design and theoretical understanding in AI. Krzakala actively mentors the next generation of researchers, supervising numerous PhD students whose work continues to advance these interdisciplinary fields. His laboratory serves as a hub for researchers exploring the intersection of physics and computation, fostering collaborations across traditional disciplinary boundaries. He teaches advanced courses including Fundamentals of Inference and Learning, Statistical Physics, and Statistical Physics for Optimization & Learning, which examine the connections between physical principles and computational methods. His educational materials, including lecture notes on statistical physics methods in optimization and machine learning, have become valuable resources for students and researchers worldwide. As founder and scientific advisor of the startup Lighton, Krzakala has also demonstrated a commitment to translating theoretical insights into practical applications, particularly in the realm of optical computing for machine learning tasks.
Swiss Federal Institute of Technology in LausanneSwitzerland
Christophe Moser is a Full Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL), affiliated with the School of Engineering (STI) and the Institute of Microengineering (IMT). He leads the Laboratory of Applied Photonics Devices (LAPD) and holds additional roles in EPFL's educational programs, including directorship of SMT-GE (General Engineering) and teaching responsibilities in the EDPO, EDAM, and SMT-ENS departments. His work bridges academic research, industrial innovation, and education in photonics and microengineering. His research focuses on applied photonics , laser technology , and microengineering , with applications in telecommunications, sensing, fiber lasers, and micro-machining. Recent publications highlight advancements in volume holographic gratings, tunable lasers, and wavelength-stabilized laser diodes. The articles demonstrate expertise in optical engineering , particularly tunable filters , holographic components , and photonic device integration . Key sub-fields span telecommunications, Raman systems, semiconductor lasers, optical signal processing, and photorefractive materials. As a co-inventor of 24 patents and author of 14 peer-reviewed papers, Moser contributes significantly to industrial photonics . He advises numerous PhD students and teaches courses in additive manufacturing , laser fundamentals , optical computing , and practical venture capital. He is associated with EPFL's Laboratory of Applied Photonics Devices (LAPD), where his team develops advanced photonic solutions. His career combines academic excellence with entrepreneurial success, having co-founded Ondax, Inc., and raised $15 million for holographic component production.
Swiss Federal Institute of Technology in LausanneSwitzerland
Paolo Prandoni is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences (IC). He serves as a Scientist in the Audiovisual Communications Laboratory (LCAV) and teaches in the SSC-ENS and SIN-ENS units, focusing on signal processing theory and practical applications in audiovisual communications. He earned his PhD from EPFL after completing all prior education there, driven by childhood fascination with long-distance telephony. His doctoral work established foundations in communication systems that continue to inform his research. Prandoni's research spans audio/image processing, machine learning for media analysis, and DSP education. Key areas include computational photography (e.g., spectral imaging, stained glass rendering), speech quality assessment via transfer learning, music information retrieval (e.g., fingering prediction), and audience analytics through his company Quividi. His work consistently bridges theoretical signal processing with real-world implementation. Recent publications reveal a strategic shift toward machine learning integration in signal processing tasks, particularly non-intrusive speech assessment and lensless imaging reconstruction. Simultaneously, he advances DSP pedagogy through MOOC development and hands-on teaching tools using off-the-shelf hardware, emphasizing accessibility and practical skill development. No scientific awards are documented in the provided materials. He has advised PhD student Thanikachalam Niranjan (thesis: Image Based Relighting of Cultural Artifacts , 2016) and teaches Communication Systems and Computer Science courses. His educational impact extends through the open-access textbook Signal Processing for Communications (2008) and tools like MultiPub for maintainable online classes. Industry engagement includes Quividi co-founding (2006) and ongoing CSO role in attention analytics. As a core LCAV laboratory member, he collaborates on interdisciplinary projects including cultural heritage digitization, embedded signal processing systems, and real-time audience measurement, leveraging EPFL's infrastructure for both academic and commercial applications.
Swiss Federal Institute of Technology in LausanneSwitzerland
Xuming He is an Associate Professor at the School of Information Science and Technology (SIST), ShanghaiTech University, where he leads the PLUS Lab. His research spans computer vision and machine learning with a focus on developing algorithms that operate effectively under limited supervision and evolving data conditions. His core research interests include weakly-supervised and few-shot learning for scenarios with sparse annotations, continual learning frameworks for knowledge retention during sequential task acquisition, semantic segmentation techniques for scene understanding, and multimodal vision-language representations. He emphasizes interpretable machine learning to build transparent AI systems capable of human-understandable reasoning, addressing critical challenges in model trustworthiness and deployment reliability. Recent publications reveal strong trends toward novel class discovery in long-tailed recognition scenarios, physics-informed generative modeling for scientific applications, and robust segmentation under distribution shifts. His work increasingly integrates large language models for multimodal reasoning while maintaining focus on efficiency in resource-constrained environments like robotic grasping and medical imaging analysis. He actively mentors students, having supervised Qian He to PhD completion and Chuanyang Hu to Master's degree in 2023. He welcomes prospective graduate students through ShanghaiTech's Computer Science & Technology program and offers undergraduate research projects requiring minimum six-month commitments. The PLUS Lab under his direction drives innovation in learning under supervision constraints, with recent work spanning medical tumor analysis, cross-view geolocation, photonic computing, and semiconductor design verification. The lab's research bridges theoretical advances with practical applications across healthcare, robotics, and scientific discovery domains.
University of Applied Sciences and Arts Northwestern SwitzerlandSwitzerland
Prof. Joris Pascal is a Lecturer in Life Science Technologies at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), affiliated with the School of Life Sciences and the Institute for Medical Engineering and Medical Informatics in Muttenz, Switzerland. He holds a Ph.D. in Microelectronics from the University of Strasbourg (2008), an M.S. in Electrical Engineering from Supélec (2005), and a B.S. in Electrical Engineering from the University of Strasbourg (2003). His professional experience includes roles as Senior Scientist and Scientist at ABB Switzerland Ltd. (2009–2015), and Research Assistant at the iCube laboratory (2005–2009). His research focuses on advanced biosignal processing, medical sensor systems, magnetic field sensing, and miniaturized diagnostic/therapeutic tools. Key projects include electromagnetic tracking systems for neurosurgery, magnetic safety assessment for MRI workers, and wearable sensor integration. He has 9 patents (5 granted, 4 pending) and extensive IEEE review involvement. Recent publications emphasize magnetic field cameras, MRI safety protocols, and nanoscale sensor technologies. His work bridges electrical engineering and biomedical applications, with contributions to medical robotics, portable NMR devices, and cardiac implant safety. Active in PhD committee roles and industry-academia collaborations, he leads projects at the intersection of sensor innovation and clinical needs.
University of Applied Sciences and Arts of Southern SwitzerlandSwitzerland
Daniele Guido Allegri is a Professor at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), affiliated with the Department of Innovative Technologies (DTI) and the Institute of Systems and Applied Electronics (ISEA). He became a professor in 2021 and serves as the director of ISEA since August 2023. His roles include leading the "Digital Electronics, Microelectronics, and Bioelectronics" scientific area since 2019. Allegri's research spans biomedical electronics, microelectronics, and embedded systems. Key projects include the development of radiation-hardened PLL ASICs (Cadagno, Quarnei), a Cardio Pulmonary Rescue Support System, and signal processing solutions for myopathy diagnosis and renal dialysis monitoring. He teaches courses on machine learning, analog/digital electronics, and embedded systems design. His publications focus on CMOS multifrequency impedance analyzers for biomedical applications (2018), real-time hydration monitoring via bioimpedance (2016-2017), and the European Solar Telescope (2021), which integrates advanced technologies for solar physics. These works reflect interdisciplinary expertise in circuit design, medical devices, and astrophysical instrumentation. Allegri's current affiliations include the Department of Innovative Technologies and ISEA at SUPSI. He has worked extensively on integrated circuits for biomedical applications, signal processing, and radiation-hardened electronics for space systems.
Dr. Sergii Yakunin is a Lecturer at the Department of Chemistry and Applied Biosciences at ETH Zürich, specializing in inorganic functional materials. His research focuses on advanced materials for radiation detection, semiconductor devices, and optoelectronic applications. Key areas include perovskite nanocrystals, quantum dots, and photodetector technologies. He leads the Laboratory of Inorganic Chemistry (LAC), emphasizing material synthesis, characterization, and device integration. Research interests encompass radiation detection systems, energy materials, and nanotechnology applications. Recent work highlights advancements in X-ray/gamma detectors using perovskites, colloidal nanocrystal fabrication, and compact optical spectrometers. His contributions bridge fundamental material science with applied technologies for medical imaging, energy harvesting, and photonics. Publications emphasize detector performance optimization, nanocrystal stability, and novel material designs. Current efforts address challenges in detector sensitivity, environmental stability, and scalable manufacturing. Collaborative projects focus on integrating functional materials into wearable and compact devices for next-generation applications.
Swiss Federal Institute of Technology in LausanneSwitzerland
Cécile Hébert is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with multiple departments including the Laboratory of Electron Spectrometry and Microscopy (LSME) , SB-SPH-ENS , EDMX-ENS , and IMX-GE . She leads the Center for Electron Microscopy and contributes to projects like CHIRALTEM . Born in France (1970), she earned her PhD in Physics from École Centrale Paris . Postdoctoral work at Vienna University of Technology . Her research focuses on Electron Microscopy , particularly Electron Energy Loss Spectroscopy (EELS) , Magnetic Circular Dichroism (EMCD) , and 3D imaging . She develops computational tools like JEMS and advances Life Sciences applications in electron microscopy. Recent publications emphasize nanoscale magnetic characterization , low-loss EELS , and STEM-Chathodoluminescence . Her work spans materials science , physics , and computational methods . She mentors PhD students and teaches courses in Mechanics , Thermodynamics , and Electron-Matter Interactions . She is also a member of the Section Directors' Conference (CDS) and directs SB-SPH-GE .
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