Find Academic Supervisors

• Biomechanics
• Biomedical Engineering
• Finite Element Analysis
• +5 more

Anne Polikeit is a Professor at HES-SO, affiliated with Haute Ecole Arc - Ingénierie, where she leads the Industrial Design Engineering department. Her research focuses on biomechanics, biomedical engineering, and medical device development, with significant contributions to finite element analysis in spinal surgery and ergonomic design. Doctorate from University of Bern (2002) Her work spans biomedical engineering projects like the Aspivix atraumatic suction device for gynecological procedures and spinal implant research. She has developed ecodesign methodologies and contributed to offender monitoring systems through the Geosatis project. Recent publications highlight her expertise in clinical applications of computational modeling and sustainable design practices. Key projects include: RiseUp (2021-2022): Autonomous chair for elderly/disabled mobility Bootstrap Ecodesign (2015-2022): Life cycle analysis and sustainable materials education Aspivix (2016-2018): Reducing pain and lesions in uterine procedures Hysteropen (2010-2012): Optical guidance for hysteroscopy Geosatis (2013-2015): Secure electronic monitoring systems Polikeit collaborates with institutions like Aspivix SA, Fair&Square, and Demetrio José, integrating clinical needs with engineering solutions through HES-SO networks.

• Law and Economics
• Corporate Governance
• Institutional Economics
• +12 more

Massimiliano Vatiero is an active academic with dual affiliations: Adjunct Professor at the Faculty of Economics, Università della Svizzera italiana (USI) , and Associate Professor of Political Economy at the University of Trento . He has been affiliated with USI's Law Institute (IDUSI) since 2010 and holds formal appointments ratified by both universities. His work bridges law, economics, and institutional analysis. His research focuses on Law and Economics, Corporate Governance, Institutional Economics, Transaction Cost Economics, and Contract Theory . He explores the interplay between legal frameworks and economic behavior, with particular interest in smart contracts, blockchain, corporate hierarchy, and the historical evolution of economic thought. His recent publications reflect a strong engagement with digital transformation and governance innovation. The analysis of his 15 most recent articles (2023–2025) reveals a thematic concentration on smart contracts and their transaction costs , corporate governance and political economy , automation and labor markets , and critical reassessments of classical economic theories (e.g., Clark, Patten, Williamson). His work combines theoretical depth with empirical and historical insights. He has received recognition through research funding and fellowships, including: Research Grant from the Swiss National Science Foundation (2014) Fellow, Comparative Corporate Governance and Finance Program, Harvard Law School Vatiero actively contributes to the academic community as Principal Investigator of the DigitChart project (funded by USI), and he serves on the editorial boards of several journals, including Journal of Industrial and Business Economics , Journal of Public Finance and Public Choice , History of Economic Ideas , and Review of Economics and Institutions . He is a founding member of the Italian Society of Law and Economics (SIDE) and the World Interdisciplinary Network for Institutional Research (WINIR) . He has held visiting positions at Chicago-Kent College of Law , University of Hamburg , and Harvard Law School , underscoring his international academic engagement.

• Nanotechnology
• Advanced Materials
• Applied Physics
• +4 more

Silvia Schintke is a full professor at Haute école d'Ingénierie et de Gestion du Canton de Vaud (HEIG-VD), part of HES-SO University of Applied Sciences and Arts Western Switzerland. She leads the Laboratory of Applied NanoSciences (COMATEC-LANS) and the Industrial Systems Engineering program. Professor since 2002 Executive Diploma HSG in General Management (2012-2014) St. Gallen Leadership Certificate (2011) Her research focuses on Nanotechnology and Advanced Materials , particularly Functional Surfaces , Nanofiber Fabrication , and Flexible Electrodes . She has developed bio-sourced packaging solutions and metal-free conductive polymers for medical applications. Key projects include: Current: SIENA (electrophysiology networks in agriculture) PRONANO (nanotechnology development) Completed: NAPARDI (France-Switzerland), CORRAL (EU FP7 corrosion protection), NanoSkills (European nanotechnology training) She has secured multiple grants from: innosuisse Swiss National Science Foundation EU FP7 Leonardo da Vinci Program Her publications span conductive hydrogels , nanofiber electrodes , and molecular self-assembly techniques. She collaborates with institutions like Agroscope, Vivent SA, and international universities.

Thomas StastnyView profile

Researcher

• Unmanned Aerial Vehicles (UAVs)
• Autonomous Systems
• Control Theory
• +3 more

Dr. Thomas Stastny is affiliated with ETH Zürich's Autonomous Systems Department as a Researcher. His work focuses on advancing unmanned aerial vehicle (UAV) technologies, particularly in control systems, environmental monitoring, and autonomous navigation. Key research areas include fixed-wing UAV dynamics, solar-powered UAVs, wind-aware path optimization, and multi-agent robotic systems. His contributions span theoretical frameworks and experimental validations, with field applications in glacier monitoring and long-endurance aerial sensing. Research Highlights: Developed real-time wind prediction systems for UAVs (WindSeer project) Pioneered hybrid UAV designs like Soliro and Dipper for multimodal mobility Advanced control methodologies for high-angle-of-attack flight and VTOL transitions Explored solar-powered UAVs achieving multi-day endurance records Technical Expertise: Nonlinear model predictive control (MPC) Sensor fusion (radar/vision integration) Aerodynamic modeling and system identification Autonomous navigation algorithms His research integrates robotics, aerospace engineering, and environmental science to create robust airborne systems for challenging operational environments.

Fuda van DiggelenView profile

Researcher

• Swarm Robotics
• Robot Learning
• Machine Learning
• +4 more

Fuda van Diggelen is a Postdoctoral Researcher at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI) and the Institute of Microengineering (IGM). Their primary research focuses on the intersection of robotics and artificial intelligence, particularly in robot learning and emergent behaviors in swarms. They are part of the Laboratory of Intelligent Systems (LIS), where they investigate adaptive neural networks for distributed learning in robot swarms. Van Diggelen holds a PhD in Evolutionary Robotics from Vrije Universiteit Amsterdam (2024), supervised by Guszti Eiben and Eliseo Ferrante. Their doctoral work explored robot learning algorithms in evolving populations. They also earned two Master’s degrees: Human Movement Science (cum laude) from VU Amsterdam and Mechanical Engineering (Bio-Robotics) from TU Delft. Research interests include embodied intelligence, complex systems, control theory, and applications in healthcare such as ICU data analysis during the COVID-19 pandemic. Notable achievements include a nomination for the Best Master’s Thesis Award at VU Amsterdam and 3rd place in the IEEE RAS Multi Robot Systems (MRS) competition. They have contributed to projects like the Revolve software framework for robot evolution and the Dutch ICU Data Warehouse collaboration. Their work bridges robotics, AI, and healthcare, with a focus on developing adaptive systems for real-world challenges.

• Control Systems
• Model Predictive Control (MPC)
• System Identification
• +6 more

Prof. Roy Smith is a Professor at ETH Zurich specializing in control systems, with a focus on model predictive control (MPC), system identification, and robust control. His research spans energy systems, aerospace applications, and data-driven methods. He collaborates with leading institutions like the Swiss Federal Institute of Technology (ETH Zurich) and has co-authored numerous high-impact papers in top journals like IEEE Transactions on Automatic Control and Automatica. Key research interests include: distributed control of interconnected systems, kernel-based system identification, and real-time optimization for energy networks. His work bridges theoretical advancements with practical applications in buildings, renewable energy, and aerospace. Recent publications highlight contributions to MPC design under uncertainty, closed-loop identification techniques, and stochastic control systems. He has pioneered methods for energy hub networks and developed tools for data-driven predictive control in smart buildings. Academic collaborations include projects with Prof. John Lygeros (ETH Zurich) and Prof. Florian Dörfler (ETH Zurich), focusing on multi-agent coordination and energy systems. His research also extends to aerospace applications such as autonomous kite power systems and spacecraft pose estimation.

Vijay KumarView profile

Professor

• Robotics
• Autonomous Systems
• Bio-inspired Algorithms
• +2 more

Vijay Kumar is the Nemirovsky Family Dean of Penn Engineering with professorial appointments in Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania. He leads research on autonomous ground/aerial robots and bio-inspired swarm algorithms at the GRASP Laboratory, where he previously served as director (1998–2004). His work spans robotics, cyberphysical systems, and AI applications in disaster response and construction. Education: B.Tech from Indian Institute of Technology Kanpur, Ph.D. from Ohio State University (1987) Research focuses on robot swarms , autonomous navigation , and bio-inspired collective behaviors . Recent publications explore connectivity optimization, semantic SLAM, and stochastic traffic modeling using robot swarms and neural networks. Applications include GPS-denied environments and decentralized edge AI infrastructure. Scientific Awards: IEEE/ASME Fellow, NAE/APS/AAAS member Entrepreneurship: Co-founded Exyn Technologies, advisor to Treeswift, board member of WeRobotics and O2Micro Labs/teams include the GRASP Laboratory and collaborations with industry partners like Rivian and Amazon. Grant activities involve AI for medicine, intelligent assistive robotics, and digital twin infrastructure.

Quentin BoehlerView profile

Research Fellow

• Medical Robotics
• Magnetic Actuation
• Electromagnetic Navigation Systems
• +3 more

Quentin Boehler is a Senior Research Fellow at the Multi-Scale Robotics Lab at ETH Zurich, specializing in magnetic actuation for medical robotics. His research focuses on the development and analysis of electromagnetic navigation systems and soft magnetic robots for medical applications. Education: M.S. in Mechatronics from INSA Strasbourg (2013) Ph.D. in Robotics from ICube laboratory, University of Strasbourg (2016) Boehler's research interests span across medical robotics, with a particular emphasis on magnetic actuation techniques for minimally invasive procedures. His work combines principles from robotics, electromagnetism, and medical engineering to develop novel systems for clinical applications. Key areas include electromagnetic navigation systems, soft magnetic robotics, MR-compatible devices, and variable stiffness mechanisms. His research has significant implications for improving precision and safety in medical procedures such as endoscopy, catheterization, and surgical interventions. Analysis of his publications shows a consistent focus on translating theoretical robotics concepts into practical medical applications, with particular attention to navigation precision and device functionality in clinical settings. Dr. Boehler's scientific contributions have been recognized with the Best Thesis Award from the research commission of the University of Strasbourg and the First prize at the 2016 Ph.D. thesis awards from GDR Robotique. His work has resulted in numerous high-impact publications in journals such as Science Robotics, Nature Communications, and IEEE Transactions on Robotics. As a key member of the Multi-Scale Robotics Lab at ETH Zurich, Boehler contributes to advancing the field of medical robotics through innovative research and development. His work bridges the gap between theoretical robotics and practical clinical applications, with a focus on creating technologies that can be translated to real-world medical settings. His research demonstrates strong interdisciplinary collaboration with medical professionals and engineers to address clinical challenges through robotic solutions.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +6 more

Amir Zamir is a Tenure-Track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology (EPFL) and leads the Visual Intelligence and Learning Lab (VILAB). Previously affiliated with UC Berkeley, Stanford, and UCF, his research spans computer vision, machine learning, and AI, focusing on embodied intelligence and multimodal learning. Current Appointments: EPFL (Tenure-Track Assistant Professor) Industry Experience: Chief Scientist at Aurora Solar (2015-2022), Chief Scientist at Duranta His research emphasizes advancing vision systems beyond narrow approaches toward general multi-modal/multi-task models that operate in real-world environments. Key projects include 4M (Multimodal Foundation Models), Taskonomy (Task Transfer), Gibson (Sim-to-Real), and Omnidata (Steerable Datasets). Current work explores flexible-length tokenization (FlexTok), visual personalization (ViPer), and robust cross-domain learning . Recent publications demonstrate expertise in autoregressive image generation , vision-language modeling , and embodied robotics . Awards include the ECCV Young Researcher Award , NVIDIA Pioneering Research Award , and multiple CVPR/SIGGRAPH best paper recognitions . He advises PhD students in vision systems, AI, and robotics, and teaches courses on Visual Intelligence, AI Product Management, and Autonomous Robotics.

Andrea CensiView profile

Lecturer

• Autonomous Driving
• Robotics
• Control Systems
• +3 more

Dr. Andrea Censi is a Lecturer at the Department of Mechanical and Process Engineering, ETH Zurich. His research focuses on robotics, autonomous driving, and control systems with interdisciplinary applications in game theory and urban mobility. Key projects include karma economies for resource allocation and co-design frameworks for embodied intelligence. Research interests span: Autonomous motion planning and decision making Trustworthy AI for socio-technical systems Karma-based congestion management Co-design of robotic control systems Event-based vision and neuromorphic sensing Formal methods for autonomous vehicle safety Selected research trends from publications include: karma economies for fair resource allocation (2024-2025), co-design of perception and decision-making systems (2025), dynamic population games (2024), and safety margin analysis for autonomous vehicles (2023). He teaches 151-0323-00L Hands-on Self-Driving Cars with Duckietown , an accessible education platform for autonomy research.

Anna GautierView profile

Assistant Professor

• Multi-agent Systems
• Planning under Uncertainty
• Game Theory
• +3 more

Anna Gautier is an Assistant Professor in the Department of Computer Science at Chalmers University of Technology, affiliated with the Division of Data Science and AI. Her research focuses on multi-agent systems, planning under uncertainty, and game theory with applications in robotics. She holds a PhD from the University of Oxford (2023), an MSc in Applied Mathematics from the London School of Economics, and dual undergraduate degrees (BA in Mathematics and BS in Computer Science) from Washington University in St. Louis. Her work centers on risk-aware planning for multi-agent systems using Markov Decision Processes and mechanism design , with key applications in multi-robot coordination and human-robot interaction where trust dynamics and risk behavior are critical. Recent publications demonstrate advancements in contingency planning for autonomous vehicles, resource allocation under constraints, and quadratic voting mechanisms, bridging theoretical foundations with practical robotics challenges. She is recognized with the following honors: ELLIS Society Member (2025) Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology Dr. Gautier serves as co-chair for the ECAI 2025 Demonstration Track and is establishing her research group at Chalmers with plans to recruit PhD students. Her work builds on prior contributions to the WASP-Nest Project (PerCorSo) and Vinnova Center (TECoSA) focusing on trustworthy autonomous systems.

• Mathematical Modeling
• Statistics
• Data Analysis
• +5 more

Yerly Florence is an Associate Professor at the Fribourg School of Engineering and Architecture , affiliated with the ChemTech Institute . Her work bridges mathematical modeling , statistics , and data analysis across diverse domains including plant biology, systems biology, and computational methods. Education : PhD in Systems Biology (2015, University of Fribourg) Her research focuses on quantitative plant growth analysis (e.g., auxin transport modeling in Arabidopsis hypocotyls), machine learning applications (e.g., melting point prediction for ionic liquids), and interdisciplinary projects like Beyond Bézier , which reimagines digital typography through mathematical and robotic approaches. She contributes to both academic and professional publications, emphasizing computational tools and biophysical insights. The Beyond Bézier project (2023–2025), funded by the Réseau de Compétences Design et Arts Visuels , exemplifies her innovative spirit, combining mathematics, robotics, and design. Her publications span topics from gene transfer mechanisms to computational biology, reflecting her interdisciplinary expertise.

Jean-Paul KneibView profile

Professor

• Cosmology
• Gravitational Lensing
• Redshift Surveys
• +5 more

Jean-Paul Kneib is a Full Professor at the Laboratory of Astrophysics (LASTRO) within the School of Basic Sciences (SB) at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He is also involved in the Space Sustainability initiative at EPFL and has held visiting positions at Caltech and CNRS institutions. His research focuses on cosmology, gravitational lensing, and next-generation spectroscopic surveys like DESI and Euclid. Education : PhD in Astrophysics (1993), Master in Astrophysics, Geophysics & Space Technics (1990), Engineer degree in Aerodynamics & Space Technics (1990), all from Toulouse University and École Nationale Supérieure de l'Aéronautique et de l'Espace. Research Interests : Kneib specializes in cosmology, using galaxy surveys and gravitational lensing to study dark matter and dark energy. His work includes strong lensing in galaxy clusters, redshift surveys for cosmic expansion analysis, and robotic fiber-positioner systems for spectroscopic instruments. He also contributes to space sustainability initiatives addressing orbital debris. Recent Publications emphasize deep learning for radio interferometry, Euclid mission early data, DESI BAO analysis, and novel methods for asteroid detection. Collaborative projects involve JWST observations of high-redshift galaxies and digital twins for CubeSats. Scientific Awards : ERC Advanced Laureate (for project "Light on the Dark") Marie Curie Fellowship Leadership Roles : Co-Lead of ESA Euclid "Strong Lensing" Working Group Co-Principal Investigator for CFHT-Stripe 82 project Developer of Fiber-Robot Positioner System for DESI collaboration

Bartolomeo StellatoView profile

Assistant Professor

• Mathematical Optimization
• Machine Learning
• Optimal Control
• +3 more

Bartolomeo Stellato is an Assistant Professor at Princeton University's Department of Operations Research and Financial Engineering. He is associated faculty in Electrical and Computer Engineering and Computer Science, and affiliated with Princeton's AI, Robotics, and Center for Statistics and Machine Learning initiatives. His research bridges mathematical optimization, machine learning, and optimal control for real-time decision-making in uncertain environments. PhD advisors: Georgina Hall, Brandon Amos Key collaborators: Bart Van Parys (MIT), Jaime Fernandez Fisac (UPenn), Adrien Taylor (INRIA) His work on Mean Robust Optimization combines robust and distributionally robust optimization through data clustering, achieving 3+ orders of magnitude speedups in portfolio optimization. He also develops learned optimizers (e.g., L2WS, GeNIOS) and OSQP , which won the Beale–Orchard-Hays Prize. Recent grants include NSF CAREER (2023) and ONR Young Investigator (2025) awards. Article Trends : His research spans optimization verification (3/7 of 2025 articles), data-driven methods (5/7 of 2024-2025 articles), control applications (4/15 articles), and equitable resource allocation (2/15 articles). Key subfields include algorithm verification, stochastic optimization, multi-agent systems, and hardware acceleration. Scientific Awards : ONR Young Investigator (2025), Howard B. Wentz Award (2024), NSF CAREER (2023), ISSNAF Strazzabosco (2022) Students : Mentored 12+ graduate students/postdocs including Irina Wang (Wallace Fellowship), Rajiv Sambharya (Best Paper Award at JMLR), and Vinit Ranjan (co-author Mathematical Programming paper) He leads the Princeton Optimization, Learning, and Control Workshop and collaborates with institutions like MIT, INRIA, and Los Alamos National Laboratory. His group develops open-source tools (OSQP, L2WS) with over 300,000 downloads.

Ruedi ArnoldView profile

Professor

• Computer Science Education
• Software Engineering
• Mobile Programming
• +5 more

Ruedi Arnold is a Professor at the Lucerne School of Computer Science and Information Technology, part of the Lucerne University of Applied Sciences and Arts. He serves as Head of the Master's Program in Specialized Media and IT Teaching and Learning Methods. His academic journey includes a PhD from ETH Zurich (2007) and a Higher Teaching Degree from ETH Zurich (2003). Education: Dr. sc. ETH (Computer Science, 2007), Dipl. Informatik-Ing. ETH (2002), Matura Type C (1996). Professional experience spans roles at ETH Zurich (2002–2007), Ergon Informatik AG (2008–2011), and EB Zurich (2009–2012). Research focuses on software engineering, programming didactics, human factors, and interactive learning environments like InfoTraffic . Projects include Skin-App (medical image analysis) and Algorithmic Thinking in Lower Secondary Education . Awards include recognition for academic excellence at ETH Zurich and Strathclyde University. He has supervised numerous student projects and contributed to educational initiatives like Scratch workshops for youth. Publications span topics from AI pedagogy to P2P systems, with recent work emphasizing computational thinking in education. He is actively involved in academic committees, including the Luzerner Maturitätskommission and CH Open Workshop-Tage.