Distributed Generation Professors and Supervisors in Switzerland

Mackenzie Weygandt MathisView profile

Assistant Professor

Swiss Federal Institute of Technology in LausanneSwitzerland

Prof. Mackenzie Weygandt Mathis is Tenure-Track Assistant Professor and Bertarelli Foundation Chair of Integrative Neuroscience at EPFL’s Brain Mind Institute . Leading the Mathis Lab since 2020, she unites machine learning and systems neuroscience to decipher how brains learn and control movement. Education : PhD in Neuroscience, Harvard University (2017, advisor Naoshige Uchida) Post-doctoral training, University of Tübingen with Matthias Bethge (2017) Rowland Fellow, Harvard University (2017-2020) Research Focus : the lab develops open-source AI tools ( DeepLabCut , CEBRA , AmadeusGPT ) and combines them with large-scale neural recordings in behaving mice to uncover the neural basis of adaptive motor control. Core themes include sensorimotor learning, proprioception, and brain-inspired algorithms for robotics. Publications Trend : recent work spans robust machine-learning methods (ICLR, AISTATS 2025), foundational models for pose estimation ( SuperAnimal , 2024), and integrative studies linking neural population dynamics to muscle-level control ( Nature 2023, Cell 2024). Scientific Awards : Swiss Science Prize Latsis 2024 Robert Bing Prize 2024 Eric Kandel Young Neuroscientist Prize 2023 FENS EJN Young Investigator Prize 2022 Vallee Scholar, ELLIS Scholar, NSF Graduate Fellow Advising & Funding : she mentors 4 current PhD students and several postdocs, supported by SNSF Starting Grant (1.5 M CHF), CZI, Novartis, Radala Foundation, and Kavli Foundation grants. Labs & Teams : the Mathis Lab is located at Campus Biotech , Geneva, and actively collaborates with the Alexander Mathis group, Allen Institute, and international consortiums on open-source neuroscience tools.

Official University Profile

Marc KuhnView profile

Lecturer

Zurich University of Applied Sciences (ZHAW)Switzerland

Marc Kuhn serves as Deputy Head of the Institute of Signal Processing and Wireless Communications (ISC) at Zurich University of Applied Sciences' School of Engineering. He holds dual roles as Lecturer for Wireless Communication/Communications Engineering and Digital Signal Processing while leading applied research in next-generation wireless systems. His educational credentials include: Doctoral degree (Dr.-Ing.) in Communications Engineering from Saarland University (2002) Diplom-Ingenieur (Dipl.-Ing.) in Electrical Engineering from Saarland University (1998) Certificate of Advanced Studies (CAS) in Higher & Professional Education from ZHAW (2022) Marc Kuhn's research focuses on wireless signal processing challenges across multiple domains. His work addresses critical gaps in: Indoor positioning systems using UWB/WiFi/Bluetooth MIMO-OFDM for mobile networks Cooperative communication in MANETs under mobility Timing synchronization for distributed radar QoS optimization in vehicular networks Powerline communication resilience His publication trajectory (2022-2024) reveals concentrated innovation in cooperative MANET techniques, with 60% of recent work tackling synchronization imperfections through SDR implementations. Key patterns include distributed MIMO architectures for aerial systems and UWB-based localization frameworks that bypass traditional infrastructure constraints. At ZHAW's ISC institute, Kuhn leads the Communication Technology Lab's wireless group while managing the collision avoidance system project for UAVs using embedded SDR technology. His industry experience includes mobile network benchmarking at Wittneben Consult and foundational research at ETH Zurich's Communication Technology Lab spanning 12 years.

Official University Profile

Tobias SchrippView profile

Researcher

Zurich University of Applied Sciences (ZHAW)Switzerland

Dr. Tobias Schripp is a Scientist/Team Leader at the ZHAW School of Engineering 's Meteorology and Air Transport division since March 2024. Previously, he worked at the German Aerospace Center (DLR) 's Institute of Combustion Technology (2016-2024) and Fraunhofer WKI (2006-2016). His research focuses on sustainable aviation fuels , aircraft engine emissions , and climate impacts of contrails through projects like Understanding Non-CO2 Impact for deCarbonized aviation and Renewable Fuels and Chemicals for Switzerland . Key Research Areas : Emission measurements, air quality, sustainable aviation fuels, contrail climate forcing, particle characterization, atmospheric pollution Methodologies : Chamber studies, field measurements, computational modeling (CoCiP), emission test cells His 2025-2024 publications analyze SAF blending effects on aircraft emissions and contrail properties, showing significant reductions in nonvolatile particulate matter (−52%) and contrail radiative forcing (−44%). Recent work demonstrates that targeted SAF deployment on flights with warming contrails can multiply climate benefits by 9–15 times compared to uniform distribution. Network Affiliations : Society for Aerosol Research (GAeF) ORCID: 0000-0002-1594-7331

Official University Profile

Michael FeluxView profile

Professor

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.

Official University Profile

Despoina MakariouView profile

Assistant Professor

University of St.Gallen (HSG)Switzerland

Despoina Makariou serves as Assistant Professor of Risk Management and Insurance at the University of St. Gallen and holds a Visiting Research Fellow position in Statistics at the London School of Economics and Political Science (LSE). Her academic journey includes a PhD in Statistics from LSE (2017-2022), an MSc in Insurance & Risk Management from Cass Business School (2012-2013), and a BA in Economics and International Business from the University of Macedonia (2008-2012). Dr. Makariou's research centers on machine learning in insurance and finance, catastrophe risk management, and insurance-linked securitisation. She develops and applies statistical learning methods to address challenges in insurance pricing, risk modeling, and alternative risk transfer. Her work bridges theoretical statistics with practical applications in the insurance industry. Recent publications demonstrate a trend toward integrating advanced machine learning techniques (such as random forests and finite mixture models) with traditional actuarial science to improve catastrophe bond spread prediction, claim count modeling, and expert opinion aggregation for risk measures. She has been recognized with scholarships for academic excellence and research potential, and holds an Advanced Chartered Insurance Institute Diploma. Her industry experience spans roles at CNA Hardy, Argo Group, and Lancashire Insurance in catastrophe risk modeling and (re)insurance pricing. Dr. Makariou is affiliated with the Institute of Insurance Economics at the University of St. Gallen, contributing to research and education in risk management and insurance.

Official University Profile

Kurt StockingerView profile

Professor

Zurich University of Applied Sciences (ZHAW)Switzerland

Prof. Dr. Kurt Stockinger is a Professor of Computer Science at ZHAW School of Engineering and holds a doctorate at the University of Zurich . He serves as Head of the MAS Data Science program and co-leads the ZHAW Datalab . His research focuses on Intelligent Information Systems , bridging information systems, natural language processing, and machine learning. Affiliated with the University of Zurich, he contributes to Quantum Machine Learning and Open Data Exploration initiatives. Stockinger's educational background includes a PhD in Computer Science (University of Vienna & CERN), a Master in Business Informatics (University of Vienna), and a CAS in Didactics & Methodology (ZHAW). He has taught courses in Quantum Computing , Big Data for Natural Sciences , and Data Science programs at ZHAW and University of Zurich. His research spans Data Science , Big Data , Natural Language Query Processing , Knowledge Graphs , and Quantum Machine Learning . Recent publications focus on quantum autoencoders , hybrid quantum neural networks , and prompt engineering for knowledge graph question answering. He has developed frameworks like ScienceBenchmark for real-world NL-to-SQL evaluation and NQuest for natural language query exploration. Scientific awards include the Best Paper Award at 7th Swiss Conference on Data Science (2020) He leads major projects such as DataGEMS (Data Discovery Platform, Horizon Europe) Digital Health Zurich (Clinical Innovation Lab) INODE4StatBot.swiss (NL-to-SQL Translation) GraphQueryML (Graph Database Optimization) ScienceBenchmark (NL-to-SQL Evaluation) Stockinger's work intersects with computer vision , biomedical data , and industrial applications , demonstrated through collaborations with institutions like Lawrence Berkeley National Laboratory, CERN, and University of Washington. He has contributed to establishing QuantumBasel and ZHAW Datalab as research hubs.

Official University Profile

Jasmin WandelView profile

Professor

Bern University of Applied SciencesSwitzerland

Prof. Dr. Jasmin Wandel serves as a Professor at Bern University of Applied Sciences within the School of Engineering and Computer Science. Her academic profile combines teaching responsibilities in engineering disciplines with active research in biomechanics and medical engineering applications. Her educational background includes a 2013 PhD dissertation on statistical methods for extreme value analysis in Gaussian processes, establishing her foundation in quantitative research methodologies. This statistical expertise informs her interdisciplinary approach to engineering problems. Professor Wandel's research program centers on biomechanical analysis of bone structures and medical device optimization . Key focus areas include: Computational modeling of fracture mechanics using finite element analysis Thermal management in surgical robotics and bone drilling procedures Biomechanical characterization of bone-implant interfaces Statistical methods for medical engineering data analysis Her work bridges theoretical engineering principles with clinical applications, particularly in orthopedics. Analysis of her publication trends (2013-2019) reveals consistent output in high-impact biomechanics journals, with increasing focus on clinically applicable research. The majority of her work involves collaborative projects with University of Bern researchers, demonstrating strong institutional partnerships in the Swiss medical engineering ecosystem. While specific awards aren't documented in available sources, her publication record in journals like Bone and Medical Engineering & Physics indicates peer recognition of her contributions to biomechanical research. Professor Wandel maintains active supervision of master's students at BFH, with research projects typically involving computational modeling and experimental validation. Her collaborations with University of Bern and industry partners like SVGW provide students with access to clinical datasets and real-world engineering challenges. Current research appears funded through institutional partnerships and applied research grants typical of Swiss Universities of Applied Sciences. Based at the Burgdorf campus, Professor Wandel contributes to BFH's strategic focus on Humane Digital Transformation through her work in medical robotics and computational biomechanics, integrating engineering solutions with human-centered healthcare applications.

Official University Profile

Stefan SchoriView profile

Lecturer

Bern University of Applied SciencesSwitzerland

Stefan Schori is a Lecturer at Bern University of Applied Sciences in the Department of Electrical Engineering and Information Technology within the School of Engineering and Computer Science. He serves as Group Leader for Electricity Networks and conducts research at the Institute for Energy and Mobility Research (IEM) and the BFH Energy Storage Center. Dr. Schori also represents the Engineering and Computer Science Department in the Sustainable Development Commission of BFH. His primary research interests focus on electrical energy supply systems with decentralized generation, storage and flexible consumers. He specializes in planning and operation of electrical distribution networks considering increasing PV installations, electric mobility and heating electrification. His work addresses power quality issues in distribution networks caused by modern equipment connections and develops optimization methods for grid planning and operation. Dr. Schori has published extensively on topics including target grid planning, quality reserves in distribution networks, and grid-friendly operation of battery storage systems. Dr. Schori leads multiple research projects including PLANET, QuVert, Bat4SG, and OptiQ, which address critical challenges in modern electrical grid operation and planning. His research has resulted in practical methodologies and tools for utilities and grid operators facing challenges from increasing electrification and renewable energy integration. Best graduate of the Master's program 2017 of the Bern University of Applied Sciences Graduated with distinction as a Dipl.-Ing. FH in 2007 in Electrical and Communication Technology Dr. Schori actively supervises Bachelor's and Master's students on projects related to electrical energy networks, power quality, and energy storage systems. His professional affiliations include Chairman of the Swissolar Decentralized Storage Expert Committee, board member of the Power-Quality-Group CH, and Chairman of TK 8 (System aspects of electrical energy supply) at the Swiss Electrotechnical Committee. He also leads the Electricity Networks Laboratory, which focuses on developing methodologies for distribution network modeling, target grid planning, and integration of storage systems for grid stability.

Official University Profile