Grégory Mermoud is an Associate Professor at HES-SO Valais-Wallis, School of Engineering, specializing in Machine Learning, Artificial Intelligence, and large-scale distributed systems. He teaches computer networks, machine learning, and distributed computing. His research focuses on the intersection of ML, simulation, software systems, and data science. Affiliations: HES-SO Valais-Wallis (current), Cisco Systems (former Distinguished Engineer) Gregory holds a BSC in Computer Science and Communication Systems from HES-SO Valais-Wallis. With over a decade of industry experience at Cisco, he led teams developing flagship enterprise products and holds over 200 U.S. patents. His work spans network optimization, predictive modeling, and application-driven routing. Research Interests: Machine Learning applications in networking, Quality of Experience (QoE) prediction, network path optimization, and adaptive systems. His contributions include groundbreaking work on AI-driven network monitoring, QoE prediction models, and SD-WAN optimization. Advising & Grants: Oversaw recruitment of over 50 engineers at Cisco, many from HES-SO. His research has been supported by industry collaborations and academic grants. Labs/Teams: Engaged in collaborative projects with Cisco’s R&D teams and academic institutions, focusing on network intelligence and distributed systems innovation.
Achim Walter is a Full Professor and Deputy Head at the Institute of Agricultural Sciences, ETH Zurich, specializing in crop science and plant phenotyping. He holds a habilitation in botany from the University of Düsseldorf and has led research groups at institutions like Forschungszentrum Jülich. PhD, University of Heidelberg (1998-2001) Postdoctoral Fellow, Biosphere 2 Center (2001-2003) Research Group Leader, Forschungszentrum Jülich (2003-2010) His research focuses on non-invasive plant growth analysis , image-based phenotyping , and precision agriculture , with recent work emphasizing remote sensing, deep learning for disease detection, and nitrogen use efficiency. Publications from 2025 highlight advancements in UAV thermal imaging, dendrometer-based irrigation, and phenology modeling. 2017 Golden Owl Award for Excellence in Teaching Honorary Member of SVIAL He teaches courses including Plant Ecophysiology, Alternative Crops, and Introduction to Crop Production, with a strong emphasis on digital agriculture and data-centric farming education initiatives.
Nikolaos Geroliminis is a Full Professor at École polytechnique fédérale de Lausanne (EPFL) holding multiple appointments across the institution. He serves as Full Professor at the Urban Transport Systems Laboratory (LUTS) within the School of Architecture, Civil and Environmental Engineering (ENAC), Full Professor at SGC-ENS (Teaching), and Full Professor at SHS-ENS (Teaching). Additionally, he is a Member of the Diversity Office at ENAC (DOENAC), PhD program committee member for both Civil and Environmental Engineering and Robotics, Control and Intelligent Systems doctoral programs, and Head of Unit for the ENAC Academic Evaluation Committee. Dr. Geroliminis received his Diploma in Civil Engineering from the National Technical University of Athens (NTUA) in 2003, followed by an M.S. in Civil and Environmental Engineering from the University of California, Berkeley in 2004, and completed his Ph.D. in Civil and Environmental Engineering from UC Berkeley in 2007. Prior to joining EPFL, he served as an Assistant Professor in the Department of Civil Engineering at the University of Minnesota. His research primarily focuses on urban transportation systems with particular emphasis on traffic flow theory, control, and optimization of large-scale networks. His work spans multiple domains including public transportation, logistics, ride-hailing systems, drone-based traffic monitoring, and the Macroscopic Fundamental Diagram (MFD) concept. Dr. Geroliminis has pioneered research using drone swarms for traffic monitoring through the pNEUMA experiment, which has generated high-resolution traffic data for studying congestion propagation, lane-changing behavior, and emission patterns. His recent work increasingly addresses emerging mobility systems including autonomous vehicles, electric vehicle charging management, and urban air mobility. His publication record demonstrates a clear evolution from fundamental traffic flow theory toward increasingly complex multimodal transportation systems. Recent publications (2023-2025) show strong emphasis on drone-based traffic monitoring, optimization of ride-sharing systems, integration of public transit with ride-hailing services, and applications of artificial intelligence to traffic forecasting and control. His work consistently bridges theoretical developments with practical applications for improving urban mobility. ERC Starting Grant 'METAFERW: Modeling and controlling traffic congestion and propagation in large-scale urban multimodal networks' Dr. Geroliminis serves as Associate Editor for Transportation Research Part C and is on the editorial boards of Transportation Research Part B, Transportation Letters, and Journal of ITS. He is actively involved in multiple doctoral programs at EPFL and serves on the Transportation Research Board's Traffic Flow Theory Committee. His research has been supported by the Swiss National Science Foundation, Board of the Swiss Federal Institutes of Technology, European Union, and Innosuisse – Swiss Innovation Agency. As head of the Urban Transport Systems Laboratory (LUTS), Dr. Geroliminis leads a research team focused on developing sustainable transportation solutions through innovative modeling approaches. His laboratory has been instrumental in conducting large-scale field experiments like pNEUMA, which employs drone swarms to collect unprecedented traffic data. The lab's work bridges transportation engineering, control theory, and data science to address pressing urban mobility challenges.
Yves Martin is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Basic Sciences, specifically within the Service de la Physique et de la Chimie - General Engineering (SPC-GE). He serves as Deputy Director of SPC-GE and is also affiliated with EDPY (École Doctorale de Physique) for teaching responsibilities. His office is located at PPB 324 (Bâtiment PPB), Station 13, 1015 Lausanne, Switzerland. Dr. Martin's research focuses on plasma physics and fusion energy, with particular expertise in tokamak operations, plasma control systems, and edge localized modes (ELMs). His work primarily centers around the TCV (Tokamak à Configuration Variable) at EPFL, where he has made significant contributions to understanding plasma shaping, stability limits, and control mechanisms. His research spans both theoretical and experimental aspects of magnetic confinement fusion. Analysis of his recent publications reveals a strong focus on plasma control techniques, particularly regarding Edge Localized Modes (ELMs) which are critical instabilities in tokamak operation. His work spans plasma shaping optimization, magnetic perturbation techniques, divertor physics including snowflake configurations, and real-time control systems for tokamak operations. These research areas represent some of the most challenging problems in magnetic confinement fusion research. Dr. Martin has supervised doctoral students including Piras Francesco (thesis on 'Extremely Shaped Plasmas to Improve the Tokamak Concept') and Rossel Jonathan (thesis on 'Edge Localized Mode Control in TCV'). His work has contributed to international fusion research efforts, including collaborations related to ITER diagnostics and physics.
Jian Hong Lin is a Senior Research Associate at the University of Zurich, specializing in complex networks and blockchain technologies. His work intersects network topology, dynamic models, and decentralized systems, with a focus on centrality measures and temporal network analysis. Bachelor in Mathematics and Applied Mathematics (2012) Master in System Analysis and Integration (2016) His research explores the structural and dynamic properties of networks, particularly in blockchain ecosystems. Recent publications highlight his contributions to decentralized exchange algorithms and network influence identification. Key publication trends include applications of network science to financial systems, algorithm development for decentralized platforms, and theoretical studies of node influence in temporal networks.
Prof. Mengtian Cui is a Visiting Professor at the Key Laboratory of Computer System under the State Ethnic Affairs Commission at Southwest Minzu University, China. She earned her Ph.D. in Computer Software and Theory from the Chinese Academy of Sciences (CAS) in 2010, and has held research fellow positions at Ryerson University (Canada) and the University of Fribourg (Switzerland). Research Interests: Trusted computing, formal methods, malware detection, open-source software defect prediction, machine learning, graph neural networks, and complex systems. Collaboration: Collaborates with Prof. Dr. Claudio J. Tessone on open-source software defect prediction from a complex systems perspective. Publication Trends: Her work spans network analysis (e.g., algorithmic bias in PageRank), graph-based malware detection, named data networking applications for vehicles, feature optimization in defect prediction models, data cleaning techniques, and formal methods for software reliability. These studies integrate machine learning, complex systems theory, and graph neural networks. Laboratory Affiliation: She works at Southwest Minzu University's Key Laboratory of Computer System, focusing on software engineering and cybersecurity research.
Bastien Chopard is a Full Professor at the University of Geneva, affiliated with the Computer Science Department and the Scientific and Parallel Computing Group (SPC lab) . He is part of the Science Faculty and the Computer Science Institute (CUI) . His research focuses on complex systems modeling using cellular automata, lattice Boltzmann methods, and parallel computing techniques. Key projects include the MAPPER initiative for multiscale modeling, THROMBUS (biomedical thrombosis modeling), and INSIST (in silico clinical trials for stroke treatment). He teaches courses on algorithmic methods , parallel computing architectures , metheuristics for optimization , and the Modeling and Simulation of Natural Phenomena . Chopard leads development of the PALABOS Lattice Boltzmann Solver , a widely-used open-source framework. His work spans applications in fluid dynamics, biomedical systems, and environmental modeling. Notable contributions include co-authoring the textbook "Cellular Automata Modeling of Physical Systems" (Cambridge University Press, 1998), and pioneering research in parallel algorithms for large-scale simulations on supercomputers and GPUs.
Gilles Vilmart is a Senior Lecturer (Maître d'enseignement et de recherche) at the University of Geneva's Department of Mathematics since 2013. His research focuses on numerical analysis of geometric and multiscale methods for deterministic and stochastic differential equations, emphasizing geometric numerical integration and numerical homogenization. He holds a PhD (2008, double doctorate from University of Rennes 1 and Geneva) and a Habilitation (2013, ENS Rennes). Former affiliations include the Swiss Federal Institute of Technology Lausanne (EPFL), University of Rennes 1, and INRIA Rennes. He organizes the numerical analysis seminar with Martin Gander and Bart Vandereycken, and co-founded the CAMAS Consulting platform. He is a member of Swiss mathematical society, Swiccomas, and SMAI (France). Key achievements include the Young Researcher First Prize 2013 from Brittany Region for Mathematics. His work includes developing numerical methods for stochastic and multiscale systems, with software contributions like PIROCK and multirevolution integrators. He advises PhD students and organizes workshops on numerical analysis and complex systems.
Jocelyne Bloch is a Full Professor at the University of Lausanne (UNIL) and Head of the Neurosurgery Department at CHUV, positions she has held since February 1, 2025. She is affiliated with the Faculty of Biology and Medicine at UNIL and co-directs the NeuroRestore research center in collaboration with EPFL, integrating clinical expertise and engineering innovation. Full Professor, Faculty of Biology and Medicine, University of Lausanne (2025–present) Head, Department of Neurosurgery, CHUV (2025–present) Co-Director, NeuroRestore Research Center (2019–present) Full Professor, Neuroprosthetics Center, EPFL (2019–present) Associate Professor, UNIL (2017–2025) Jocelyne Bloch's research focuses on functional and stereotactic neurosurgery , with a mission to restore motor function after neurological injury. Her work spans regenerative neurotherapies , neuromodulation , and neuroprosthetics , particularly through brain-spinal cord interfaces and wireless implants. She pioneered cortical cell transplantation techniques and contributed to the development of AI-optimized spinal cord stimulators that enable paralyzed patients to walk again, including those with complete spinal injuries. Her research bridges laboratory innovation with clinical application, emphasizing translational neuroscience . Her recent publications highlight breakthroughs in brain-machine interfaces , spinal cord stimulation , and neurorehabilitation , with studies published in Nature , Nature Medicine , and Nature Neuroscience . These works demonstrate a strong trend toward closed-loop, AI-driven systems for motor recovery, with increasing focus on real-world mobility and patient autonomy. 2021 Leenaards Foundation Scientific Award for the project “Brain-spinal cord interface to regain the use of the legs” Bloch has played a key role in mentoring and academic leadership, supervising students and junior researchers. She has secured significant research funding through institutional and collaborative grants supporting NeuroRestore and regenerative neurosurgery initiatives. She is a founding member of Onward Medical (formerly GTX-Medical) and founder and president of the Neurocellia association, advocating for cellular therapies in neuroscience. She also serves on the board of the European Society for Stereotactic and Functional Neurosurgery . She co-directs NeuroRestore , a pioneering research center uniting CHUV-UNIL’s medical expertise with EPFL’s engineering capabilities. The center develops innovative neurotherapies involving neurosurgical interventions, rehabilitation platforms, and advanced neural interfaces to treat paralysis and movement disorders.
Vasiliki Stergiopoulou is a Researcher at EPFL, holding roles in multiple laboratories: Postdoctoral Researcher at the Galatea Laboratory (School of Engineering, IEM), Scientist at the Audiovisual Communications Laboratory (LCAV, School of Computer and Communication Sciences), and Guest at the IMAGING-GE group. Her work focuses on computational imaging, microscopy techniques, and signal processing, with contributions to third-harmonic generation imaging, fluorescence microscopy optimization, and holographic illumination methods. She has published extensively on topics like super-resolution microscopy and denoising algorithms. Vasiliki collaborates across interdisciplinary teams at EPFL, contributing to advancements in biomedical imaging and optical technologies.
Juan Francisco Bada Juarez is a Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Prof. Dal Peraro Group within the Institute of Bioengineering (IBI-SV). His research focuses on structural biology, membrane proteins, and nanopore technology, particularly leveraging lipid-based systems like lipodisq nanoparticles for protein stabilization and drug delivery. He contributes to innovative methods for detergent-free membrane protein extraction and high-resolution structural characterization. His work integrates experimental and computational approaches, including single-molecule detection with biological nanopores and deep learning-assisted analysis. Key projects involve engineering aerolysin-based nanopores for biosensing, dissecting membrane association mechanisms of pore-forming toxins, and developing light-sensitive membrane proteins for dynamic studies. He is based at EPFL’s School of Basic Sciences, contributing to interdisciplinary research at the intersection of biophysics and nanotechnology. Juan’s lab investigates applications of structural biology to antimicrobial peptides, drug delivery systems, and protein engineering, with a focus on maintaining protein functionality in native-like environments. His research has advanced understanding of protein-membrane interactions, enabling breakthroughs in biomolecular detection and therapeutic delivery mechanisms.
Adrian Holzer is a Full Professor at the Institute of Information Management within the Faculty of Economics at the University of Neuchâtel, Switzerland. His research focuses on information systems, human-computer interaction, digital education, and computational thinking. Holzer's work explores the intersection of technology and behavior change through digital nudges, gamification, and AI-enhanced learning environments. University: University of Neuchâtel School: Faculty of Economics Department: Institute of Information Management Email: adrian.holzer@unine.ch Research Interests Adrian Holzer investigates the design and impact of digital systems on learning, behavior change, and privacy. His work spans: Interactive learning technologies and digital detox strategies AI-enhanced educational tools and chatbots Privacy literacy and ethical digital design Behavioral interventions using digital nudges Cultural data analysis (e.g., Arabic poetry structures) Collaborative knowledge sharing in NGOs and humanitarian contexts Publication Trends Over the past decade, Holzer's research has focused on designing human-centered digital interventions for education, health, and sustainability. Key trends include: Developing AI-driven learning companions and gamified systems Exploring ethical design of digital nudges for behavior change Advancing computational thinking skills through digital tools Creating privacy-aware educational platforms Applying data visualization to complex domains like linguistics and environmental behavior Investigating social dynamics in online communities
Daniel Kopp is a Lecturer at the Department of Management, Technology, and Economics at ETH Zürich . He is affiliated with the KOF Konjunkturforschungsstelle (KOF Swiss Economic Institute) and conducts research on labor market dynamics, employment policies, and discrimination. Labor Economics Employment Discrimination Short-Time Work Policies Gender Disparities in Employment His recent work analyzes part-time employment penalties for men, ethnic discrimination on online recruitment platforms, and the efficacy of Swiss short-time work programs during economic crises. He has published extensively in journals like the Journal of the European Economic Association and Nature , focusing on macroeconomic impacts of labor policies and workplace biases. Daniel Kopp collaborates with researchers such as Michael Siegenthaler , Dominik Hangartner , and Mahsa Khoshnama to investigate labor market behaviors and policy interventions. His studies utilize large-scale administrative data and online platform analytics to assess hiring practices and unemployment trends. Contact Information: kopp@kof.ethz.ch | Personal Website
Dr. Teodora Vuković is a computational linguist at the University of Zurich's Faculty of Arts, specializing in multimodal analysis of human interaction and language technology. As Principal Investigator of the CAPIRE and LCP projects, she leads development of automatic tools for analyzing speech, gestures, and facial expressions to identify person-specific patterns while implementing data anonymization techniques.
Dr. Miguel José Carballido is a Postdoctoral Researcher at the University of Basel, working within the Department of Physics in the Faculty of Science. He is a key member of the Quantum Coherence Lab led by Professor Dominik M. Zumbühl, which is affiliated with several prestigious research initiatives including the Swiss Nanoscience Institute (SNI), NCCR SPIN of the Swiss NSF, and the Basel QC2 Center for Quantum Computing and Quantum Coherence. Dr. Carballido's research focuses on quantum computing and condensed matter physics, with particular expertise in spin qubits, semiconductor nanostructures, and quantum transport phenomena. His work explores the fundamental properties of electron and hole spins in semiconductor devices, with applications to quantum information processing. He investigates spin-orbit interactions in various materials systems including GaAs quantum wells, Ge/Si nanowires, and silicon finFET transistors, aiming to develop practical quantum computing hardware that can operate at higher temperatures. His recent publications demonstrate a strong trend toward integrating machine learning techniques with quantum device control and measurement. This interdisciplinary approach combines expertise in quantum physics with cutting-edge computational methods to address challenges in quantum device tuning, measurement optimization, and quantum system characterization. His work contributes to the broader effort of making quantum computing more accessible and practical by improving qubit coherence, developing autonomous control systems, and exploring novel materials platforms. As a member of the Zumbühl Group, Dr. Carballido collaborates extensively with researchers across multiple institutions including the Schönenberger group, Loss and Klinovaja group, and international partners at institutions such as UC Santa Barbara, ETH Zurich, Princeton University, Harvard University, and the University of Chicago. These collaborations span theoretical modeling, materials science, device fabrication, and experimental characterization of quantum systems.
