Statistical Signal Processing Professors and Supervisors in Switzerland

Sylvain Sardyمشاهده پروفایل

دانشیار

University of GenevaSwitzerland

Sylvain Sardy is an Associate Professor in the Department of Mathematics at the University of Geneva, where he conducts research at the intersection of statistics, optimization, and machine learning. He is affiliated with the Analysis, Mathematical Physics and Probability research group and has held significant editorial positions including Associate Editor for Computational Statistics and Data Analysis since 2020. Professor Sardy's research focuses on statistical machine learning, sparsity, and optimization with applications spanning astronomy, chemometrics, finance, and tomography. His work develops innovative methods for high-dimensional data analysis, particularly using wavelet-based approaches and LASSO regularization techniques for feature selection, denoising, and model selection. His publications reveal a consistent focus on finding sparse signals in complex datasets across diverse scientific domains. Professor Sardy has mentored numerous graduate students, currently supervising PhD candidate Maxime van Cutsem and having previously guided Dr. Xiaoyu Ma, Dr. Pascaline Descloux, Prof. Jairo Diaz Rodriguez, and Dr. Caroline Giacobino. His Master's students include Jairo Diaz (now Professor at Universidad del Norte, Colombia), Jean-Luc Baeriswyl, and others who have pursued careers in academia, industry, and education. His academic service includes leadership roles as Swiss representative at the European Regional Committee of the Bernoulli Society (2014-2018), President of the Doctoral School of Applied Statistics and Probability (2010-2013), and Student Advisor for the Mathematics Section (2008-2015). His teaching portfolio includes Optimization with Applications I, Statistical Machine Learning, and Pharmaceutical Statistics and Methodology, reflecting his expertise in statistical methodology and its practical implementation.

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Mark Robinsonمشاهده پروفایل

استاد

University of ZurichSwitzerland

Mark Robinson is a Professor at the Department of Molecular Life Sciences, University of Zurich, and affiliated with the Swiss Institute of Bioinformatics. He leads the Robinson Research Group, focusing on Computational Biology Bioinformatics Single-Cell RNA Sequencing Statistical Genomics His work bridges computational method development with applications in cancer immunology, epigenetics, and developmental genetics. Key research contributions include Development of bioinformatics tools like pubassistant.ch, scDblFinder, and DESpace Advancements in spatial transcriptomics and single-cell data analysis Studies on epigenetic aging and tumor microenvironment dynamics Notable collaborations span institutions in Switzerland, Germany, and international agricultural pest research groups. His recent publications (2023-2025) emphasize Spatial omics data interpretation Interdisciplinary collaboration frameworks Optimized tissue processing methods Computational benchmarks for reproducible research While no specific scientific awards are mentioned in the data, his software tools and methodological papers demonstrate significant impact on open science and bioinformatics communities.

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Lucas Pelkmansمشاهده پروفایل

استاد

University of ZurichSwitzerland

Lucas Pelkmans is a Full Professor at the Department of Molecular Life Sciences at the University of Zurich. He leads the Pelkmans Lab, a multi-disciplinary research group focused on understanding how biological scales are crossed from single molecules to tissues. His lab develops quantitative and scalable experimental approaches combined with computational and statistical methods to study fundamental biological questions. His research interests center on quantitative cell biology, systems biology, and the study of membrane-less organelles through phase separation. Pelkmans' work explores how cells process information across different scales, with particular focus on single-cell heterogeneity, cellular decision-making, and the principles governing biological organization. His lab actively encourages researchers to develop both wet-lab and dry-lab skills to tackle complex biological problems. The Pelkmans Lab has produced numerous high-impact publications, particularly in the areas of single-cell analysis, membrane-less organelles, quantitative imaging, and systems biology. Recent work demonstrates strong trends toward multimodal data integration, advanced computational approaches for analyzing cellular states, and understanding phase separation phenomena across biological scales. The lab's publications frequently appear in top-tier journals including Nature, Science, and Cell. Scientific Awards: ERC Advanced Grant (2020) EMBO member (2015) ERC Consolidator (2015) Ernst Hadorn Foundation-endowed Chair (2010) European Young Investigator Award (2005) ETH Medal (2003) Pelkmans actively mentors PhD students and postdoctoral fellows, with his lab comprising researchers from diverse backgrounds including physics, chemistry, computer science, and biology. His teaching includes courses on quantitative and molecular systems biology, and systems dynamics in cell and developmental biology. The lab has received significant grant support, including multiple ERC grants, enabling their innovative research on cellular organization and scale-crossing phenomena. The Pelkmans Lab maintains a highly collaborative environment that emphasizes both individual brilliance and team support. They have developed innovative technologies such as iterative indirect immunofluorescence imaging (4i) for multiplexed protein mapping, which has applications in precision medicine. The lab's work bridges fundamental biological questions with technological innovation, creating new approaches for studying cellular organization across multiple scales.

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Alexander Grimmمشاهده پروفایل

پژوهشگر

Paul Scherrer InstituteSwitzerland

Alexander Grimm is a Researcher and group leader of the Bosonic Quantum Information Group at the Paul Scherrer Institute, where he has been since November 2019 and became group leader in July 2022. He earned his PhD at CEA Grenoble (2011-2015) under Max Hofheinz, focusing on Josephson junction-based microwave photon sources, and worked as a postdoctoral associate at Yale University (2016-2019) on autonomous quantum error correction in bosonic codes. His research spans experimental bosonic quantum information processing , nonlinear effects in Josephson junction devices, and microwave-driven quantum systems. He pioneered the creation of antibunched microwave radiation via Cooper pair tunneling and developed novel fabrication methods for vertical NbN-MgO-NbN junctions. His work combines controlled dissipation and engineered Hamiltonians for quantum computation and fundamental physics studies. Notable awards include the 2022 Nicholas Kurti Prize for contributions to quantum information processing. He has delivered 12+ invited talks at institutions like University of Chicago, ETH Zurich, and international conferences, focusing on Kerr-cat qubit stabilization and error correction. He holds patents in fault-tolerant quantum measurement techniques and error correction systems.

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Tomislav Medićمشاهده پروفایل

مدرس

ETH ZurichSwitzerland

Dr. Tomislav Medić is a Lecturer and PostDoc at the Department of Civil, Environmental and Geomatic Engineering, ETH Zurich. His research focuses on advanced geospatial technologies, particularly terrestrial laser scanning (TLS) applications in deformation monitoring, sensor calibration, and precision agriculture. MSc in Geodesy and Geoinformation, University of Zagreb, Croatia PhD in Geodesy, Bonn University (IGG), Germany Dr. Medić’s research spans geomatics, remote sensing, and sensor engineering. Key areas include TLS radiometric calibration, point cloud processing for 3D displacement analysis, and multispectral LiDAR applications in agriculture. He contributes to improving geodetic measurement accuracy through innovative calibration strategies. His recent publications emphasize TLS integration with RGB data for geomonitoring (2025), hyperspectral scanning for fruit quality assessment (2024), and calibration field design for panoramic scanners (2023). Articles demonstrate expertise in error modeling, multi-sensor fusion, and environmental monitoring applications. At ETH Zurich’s Geosensors and Engineering Geodesy (GSEG) group, he leads the Alpine Measurement Lab collaboration project. He also participates in PhenoRob, a cluster of excellence in robotics and phenotyping for sustainable crop production at Bonn University.

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Olivier Lévêqueمشاهده پروفایل

پژوهشگر

Swiss Federal Institute of Technology in LausanneSwitzerland

Olivier Lévêque is a Senior Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences. He conducts research at the Laboratory of Information Theory (LTHI) and holds teaching responsibilities in both Communication Systems (SSC) and Computer Science (SIN) sections. Additionally, he contributes to the Interface EPFL-Gymnases initiative. Lévêque obtained his Physics diploma (1995) and PhD in Mathematics (2001) from EPFL, with a visiting lectureship at Stanford University's Electrical Engineering Department in 2005-2006. His research explores fundamental aspects of information theory , random matrices , and stochastic calculus , with applications in wireless communications and network theory. Key interests include capacity scaling laws in ad hoc networks, diversity-multiplexing tradeoffs, and mathematical frameworks for communication systems. Recent publications demonstrate broad interdisciplinary engagement, spanning computational thinking assessment (2022), digital education frameworks (2019), satellite positioning systems (2018), and theoretical advances in probability (2018). His work consistently integrates mathematical rigor with practical communication challenges, particularly in wireless network optimization and information-theoretic security. He has supervised four doctoral students at EPFL and teaches courses including Information, Computation, Communication , Markov Chains and Algorithmic Applications , and Cryptography . Lévêque leads research activities within the Laboratory of Information Theory, focusing on theoretical foundations of modern communication systems.

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Matthias Grossglauserمشاهده پروفایل

استاد

Swiss Federal Institute of Technology in LausanneSwitzerland

Matthias Grossglauser is a Full Professor at the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL), where he co-directs the Information and Network Dynamics lab. He serves on the Federal Communications Commission (ComCom), Switzerland's telecommunications regulatory authority, and previously directed EPFL's Doctoral School in Computer and Communication Sciences (2016-2019). His career includes positions at Nokia Research Center (Internet Laboratory lead), AT&T Research, and EPFL (Assistant Professor). Education Ph.D. in Computer Science from Sorbonne Universités M.Sc. in Electrical Engineering from Georgia Institute of Technology Engineering degree in Communication Systems from EPFL Research Focus Grossglauser's research integrates machine learning, stochastic networks, and discrete choice models to address challenges in artificial intelligence, network science, computational social sciences, and recommender systems. His work emphasizes both theoretical foundations and practical applications, including political forecasting, climate communication, and network dynamics. Publication Trends Recent articles demonstrate strong focus on causal inference, optimal learning algorithms, and social network analysis. Dominant themes include reinforcement learning optimization, graph-based modeling, and NLP applications in political science. Methodological innovations in matrix factorization, Bayesian modeling, and stochastic processes recur throughout. Awards & Honors Fellow of IEEE and ELLIS Cor Baayen Award (1998) CoNEXT/SIGCOMM Rising Star Award (2006) Best Paper Awards: ACM COSN (2014), IEEE INFOCOM (2001) Nokia Mobile Data Challenge Winner (2012) Academic Leadership Has advised 16+ PhD students to completion and currently supervises 4 doctoral candidates. Secured research funding for projects including dynamic recommender systems, network alignment algorithms, and computational social science tools (e.g., Predikon.ch vote prediction platform). Leads the Information and Network Dynamics lab, focusing on AI-driven network analysis.

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Michael Feluxمشاهده پروفایل

استاد

Zurich University of Applied Sciences (ZHAW)Switzerland

Prof. Dr. Michael Felux is full Professor and team leader of the Aviation Infrastructure group at the ZHAW School of Engineering , Zurich University of Applied Sciences. He also co-founded and co-owns the Estonian consultancy Navaid OÜ , providing GNSS/CNS expertise while ensuring non-conflict with his academic role. Education Dr.-Ing. in Mechanical Engineering, TU München (2012 – 2018) Dipl.-Tech. Math. in Mathematics, TU München (2003 – 2009) CAS Hochschuldidaktik (Higher-Education Didactics), PHZH (2021) Research Focus Michael Felux’s research centres on safe, secure and efficient aviation communication, navigation and surveillance (CNS) . He investigates GNSS-based augmentation systems (GBAS, SBAS) for precision approach and landing, develops real-time interference detection & localization techniques to counteract jamming and spoofing, and explores high-integrity navigation solutions for unmanned aerial vehicles (UAVs). Additional interests include environmental optimisation of flight procedures and multi-constellation, multi-frequency signal processing . Across more than 50 peer-reviewed publications since 2015, his work consistently targets the intersection of technical robustness and operational feasibility . Recent papers map GNSS disruption events across European airspace, quantify fuel-burn reductions enabled by GBAS-guided continuous-descent approaches, and introduce cost-efficient machine-learning frameworks for real-time localisation of malicious radio-frequency interference. Scientific Awards & Recognition (no specific awards listed in supplied material) Research Funding & Projects Spoofer Localization – Swiss project leader, ongoing EGNSS DFMC for GBAS based operations – EU project leader, ongoing Making I-CNS A Reality – integrated CNS technology, project leader, ongoing High Integrity Satellite Navigation for UAV using Galileo HAS – project leader, ongoing LINA – Shared large-scale infrastructure for safe testing of autonomous systems, team member, ongoing Collision avoidance system for manned & unmanned aircraft via SDR – completed Emission Reduction using Satellite Navigation for Approach Guidance – completed Laboratory & Team As head of the Aviation Infrastructure team at ZHAW, Prof. Felux directs a multidisciplinary group developing next-generation CNS technologies. The team operates dedicated GNSS/GBAS testbeds, flight-trial aircraft, and spectrum-monitoring networks to validate concepts from simulation through to real-world deployment.

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David Brücknerمشاهده پروفایل

استادیار

University of BaselSwitzerland

David Brückner is an Assistant Professor of Theoretical Biophysics at the Biozentrum of the University of Basel, Switzerland, where he leads a research group investigating the physics of living systems. Appointed in April 2025, he develops theoretical frameworks to understand how cellular interactions govern multicellular organization during development. His work bridges statistical physics, soft matter theory, and developmental biology to address fundamental questions about information processing in biological systems. Brückner's research focuses on stochastic dynamics in developmental systems , exploring how cells make reliable decisions despite biological noise. He investigates Mechanical and biochemical information transmission in tissues Cellular memory mechanisms in confined migration General physical principles across developmental systems Self-organization in multicellular structures His approach combines biophysical modeling with information theory and machine learning to connect theoretical predictions with experimental data. His recent publications reveal groundbreaking insights into cellular memory during migration, hyperdisordered biological packing, and information flow in developmental systems. Notable work published in Nature Physics (2025) demonstrates how the actin cortex serves as a mechanical memory enabling efficient navigation through confined spaces – crucial for understanding wound healing and cancer metastasis. Brückner's scientific achievements have been recognized through prestigious awards including an ERC Starting Grant (2025), the Gustav Hertz Prize (2022), and an EMBO Long-Term Fellowship (2022). His research is supported by international collaborations with experimental laboratories worldwide. As a newly established group leader, Brückner actively recruits PhD students and postdoctoral researchers for his ERC-funded "InfoFate" project, which investigates how cells integrate dynamical, neighborhood, and mechanical signals to make fate decisions. His laboratory employs interdisciplinary approaches combining theoretical physics with cutting-edge biological data.

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Patric Eichelbergerمشاهده پروفایل

استاد

Bern University of Applied SciencesSwitzerland

Movement biomechanics of the lower extremity
Movement analysis
Biomechanics in injury prevention and rehabilitation
+۳ مورد دیگر

Prof. Dr. Patric Eichelberger is a Professor and Head of the Bern Movement Lab at the Bern University of Applied Sciences, School of Health Professions, Department of Physiotherapy. He leads the Foot Biomechanics and Technology Research Group, focusing on quantitative assessment of human movement and biomechanics in injury prevention and rehabilitation. His work bridges clinical practice with technological innovation, particularly in foot biomechanics and orthopedic technology applications. Dr. Eichelberger's research interests center on movement biomechanics of the lower extremity, with special emphasis on foot biomechanics, movement analysis techniques, and biomechanics applications in injury prevention and rehabilitation. His work explores how current technologies can be applied to transfer objective assessment of movement biomechanics from laboratory settings into clinical routine. Specific areas of investigation include footwear and orthoses for running-related injuries, the relationship between running biomechanics and injury, and the development of innovative measurement techniques for dynamic postural stability. His recent publication trends show a strong focus on clinical biomechanics applications, with particular emphasis on ankle and foot biomechanics, movement analysis in injury contexts, and innovative measurement techniques. His work frequently appears in journals related to biomechanics, physiotherapy, orthopedics, and sports medicine, demonstrating interdisciplinary collaboration across these fields. The research consistently applies quantitative methods to address clinically relevant questions in movement science. Prof. Eichelberger actively supervises master's thesis projects through the Bern Movement Lab and teaches across multiple health profession programs. His teaching portfolio includes Quantitative Research Methods and Applied Statistics, Movement Biomechanics, Gait Analysis, and Biomechanical Models. He is also involved in the Center Health Technologies as Co-Head and serves on the Committee for 'Human Digital Transformation' at BFH. His laboratory infrastructure includes the Bern Movement Lab, Bern Mobility Centre, and Bern Pain & Stress Lab, which provide comprehensive facilities for biomechanical assessment, movement analysis, and clinical testing. Through partnerships with institutions like Ortho-Team AG, Praxisklinik Rennbahn AG, and Bern University Hospital, his research maintains strong clinical relevance while advancing methodological approaches in movement science.

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