Find Academic Supervisors

• 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.

Ljubisa MiskovicView profile

Research Fellow

• Systems Biology
• Machine Learning
• Dynamical Systems
• +4 more

Ljubisa Miskovic is a Senior Scientist at École Polytechnique Fédérale de Lausanne (EPFL), holding multiple positions including at the Laboratory of Computational Systems Biotechnology (LCSB) within the School of Basic Sciences (SB) and Institute of Chemical Sciences and Engineering (ISIC), as well as at the Swiss Center for Scientific Computing (SCGC) and the School Council SB. He earned his Ph.D. degree in Automatic Control from EPFL in 2006 under the co-supervision of Dominique Bonvin and Alireza Karimi. Following his doctoral studies, he pursued postdoctoral research at the Centre for Systems Engineering and Applied Mechanics at Universite Catholique de Louvain with Michel Gevers before returning to EPFL to work with Vassily Hatzimanikatis. Dr. Miskovic's research spans systems biology, metabolic engineering, synthetic biology, data-driven control design, system identification, stochastic processes, and estimation theory. His work focuses on developing computational approaches for metabolic network analysis, kinetic modeling of genome-scale metabolic networks, and applying machine learning techniques to metabolic engineering problems. His recent publications demonstrate increasing integration of generative AI methods with traditional metabolic modeling approaches. His publication trends over the last five years reveal a clear progression from traditional metabolic modeling to sophisticated machine learning-enhanced approaches, with particular emphasis on genome-scale kinetic modeling, strain optimization for biochemical production, and uncertainty quantification in biological systems. Much of his recent work centers on applications in S. cerevisiae and P. putida for producing valuable biochemicals including p-coumaric acid and muconic acid. Dr. Miskovic has advised several doctoral students including Toumpe Ilias, Andreozzi Stefano, Choudhury Subham, and Tokic Milenko. He teaches courses in numerical methods and chemical process control at EPFL, demonstrating his commitment to both research and education in systems biotechnology. As a member of the Laboratory of Computational Systems Biotechnology led by Professor Vassily Hatzimanikatis, Dr. Miskovic contributes to a multidisciplinary team that combines expertise in computational biology, systems engineering, and metabolic modeling to advance the field of systems biotechnology.

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.

Suzanne RivardView profile

Professor

• Strategic alignment of IT
• IT outsourcing
• Software projects risk management
• +1 more

Dr. Suzanne Rivard is a Professor at HEC Montréal's Department of Information Technologies, where she holds the Chair in Strategic Management of Information Technology. She earned her MBA from HEC Montréal and PhD in Information Systems from Western Ontario. Her research focuses on strategic IT alignment, outsourcing, and risk management in technology projects. Research interests include: Strategic integration of IT with business objectives Emerging organizational structures enabled by technology Risk mitigation in software development lifecycle Governance models for IT outsourcing partnerships Her recent publications demonstrate strong emphasis on IT outsourcing frameworks, organizational capability development, and theoretical foundations of information systems research, frequently published in premier journals like MIS Quarterly and Journal of Information Technology. Major honors include: Fellowship in the Royal Society of Canada Association for Information Systems LEO Award Honorary Doctorate from University of Lausanne Fellowship in the Association for Information Systems Endowed Chair in Strategic IT Management Recently supervised graduate researchers: Guillaume Bergeron (thesis), Florence Lefrançois, Alexandre Riviere, and Charline Colliaux (projects). Actively contributes to the Research Group on Information Systems (GReSI).

Ioannis PagonakisView profile

Researcher

• Solid-State NMR Spectroscopy
• Dynamic Nuclear Polarization (DNP)
• Gyrotron Technology
• +3 more

Dr. Ioannis Pagonakis is a researcher at the Institute of Molecular Physical Sciences (ETH Zurich), specializing in solid-state NMR spectroscopy and gyrotron technology. His work bridges physics and engineering, focusing on advanced magnetic resonance instrumentation and high-power microwave systems for fusion energy research. University: ETH Zurich Department: Institute of Molecular Physical Sciences Email: ioannis.pagonakis@phys.chem.ethz.ch His research interests include: Dynamic Nuclear Polarization (DNP) for enhanced NMR sensitivity Gyrotron design and beam-wave interaction modeling Superconducting magnet development for compact, high-field applications Plasma diagnostics and electron beam dynamics in fusion devices Recent publications highlight trends in: Continuous-wave EPR/DNP spectroscopy at ultra-high magnetic fields Optimization of gyrotron cavity interactions and frequency agility Thermal management and mechanical support for superconducting magnets Electron decoupling techniques and polarization control in microwave systems Contact: ioannis.pagonakis@phys.chem.ethz.ch

• Production Management
• Industry 4.0 Technologies
• Sustainability Governance
• +5 more

Thomas Friedli is a Professor and Senior Lecturer of Management with a focus on Production Management at the University of St. Gallen (HSG), affiliated with the ITEM-HSG institute. His research emphasizes Industry 4.0, sustainability governance, global manufacturing networks, and digital transformation in manufacturing. He leads studies on operational excellence, smart factory frameworks, and circular business models, with notable contributions to pharmaceutical quality control and supply chain resilience. Research interests span strategic production management, digital servitization barriers in healthcare, and ecosystem leadership transitions in manufacturing. His work integrates empirical studies on global production networks, risk management, and decision allocation mechanisms. Friedli collaborates on national and international surveys, such as the Swiss Manufacturing Survey 2024 and Manufacturing Data Analytics Study 2023, addressing industry challenges and technological adoption. His recent publications analyze Industry 4.0 technologies, closed material loops in steel supply chains, and the role of digital platforms in enabling circular economies. Key themes include network capability configurations for competitive advantage and compliance strategies in pharmaceutical quality control labs. Friedli’s research bridges academic insights with industrial practice, offering frameworks for smart factory implementations, global production network optimization, and revenue models for digital services. His work is disseminated through peer-reviewed journals, conference proceedings, and collaborative industry reports.

• Entrepreneurial Finance
• Business Angels
• Venture Capital
• +3 more

Dr. Torben Antretter is a Senior Lecturer in Entrepreneurship at the University of St. Gallen (HSG), affiliated with ITEM-HSG and GCEI-HSG. His research focuses on entrepreneurial finance, business angels, venture capital, and machine learning applications in investment decision-making. He explores topics such as social proof in angel groups, portfolio diversification strategies, and the role of digital legitimacy in startup viability. Key research themes include analyzing the impact of stereotypes on investment decisions, comparing human angel performance with algorithmic models, and investigating cross-border investment returns through syndicates. Antretter's work bridges behavioral economics with quantitative methods, often leveraging machine learning to predict venture survival and optimize investment strategies. He has published extensively on venture capital dynamics, including studies on angel network effectiveness, social venture funding gaps, and the interplay between skill and luck in entrepreneurial success. His recent work emphasizes algorithmic fairness in investing and the use of social media data for legitimacy assessment.

Sebastian BonhoefferView profile

Professor

• Theoretical Biology
• Population Dynamics
• Evolutionary Ecology
• +6 more

Sebastian Bonhoeffer is a Full Professor in Theoretical Biology at ETH Zurich, where he has been serving since July 1, 2005. He is affiliated with the Department of Environmental Systems Science and serves as Head of Collegium Helveticum. His research focuses on using population biological models to understand fundamental biological processes, with particular expertise in mathematical modeling of virus infections within infected individuals, providing important insights into the pathogenesis of viral infections, especially HIV. Prof. Bonhoeffer was born in Tübingen, Germany. His academic journey began with Music studies in Basel, followed by Physics studies in Munich and Vienna. He then moved to Oxford for his PhD with Martin Nowak and Robert May at the Department of Zoology. After completing his PhD, he remained in Oxford as a Research Fellow of Wolfson College and worked as a visiting scientist with David Ho at the Rockefeller University in New York. Prior to his appointment at ETH Zurich in 2001 as an SNF Research Professor, he was a junior group leader at the Friedrich Miescher Institut in Basel. His research interests span theoretical biology, population dynamics, evolutionary ecology of infectious diseases, mathematical modeling of viral infections, and antimicrobial resistance. He has made significant contributions to understanding the population dynamics of virus infections within infected individuals, particularly HIV. His work has provided important insights into the pathogenesis of viral infections and the evolutionary dynamics of pathogens. Prof. Bonhoeffer's recent publications demonstrate a diverse research portfolio spanning microbial ecology, epidemiology, evolutionary biology, and antimicrobial resistance. His work shows a strong focus on applying mathematical and computational approaches to understand complex biological systems, from viral dynamics to microbial communities and pandemic responses. His research often involves interdisciplinary collaborations addressing pressing public health challenges. Prof. Bonhoeffer has supervised numerous students and mentored early-career researchers in theoretical biology and mathematical modeling. His work has been supported by various research grants, though specific details are not provided in the available information. He is actively involved in teaching, offering courses such as "Seminar in Evolutionary Ecology of Infectious Diseases" and "Ecology and Evolution: Term Paper" at ETH Zurich.

Volker GassView profile

Adjunct Professor

• Space Systems
• Technology Innovation
• Space Policy

Volker Gass serves as Director of Strategic Initiatives at EPFL and Adjunct Professor across multiple departments including School of Engineering and College of Management of Technology. His academic background includes a PhD in Applied Micro-Systems Technologies from University of Neuchâtel and executive leadership training. Gass's research focuses on space technology innovation, including satellite systems, space materials, and educational applications of space science. His work bridges engineering development and space policy frameworks. Recent publications demonstrate three research priorities: (1) advanced space propulsion and thermal systems, (2) space qualification of terrestrial technologies, and (3) educational applications of space exploration concepts. These works balance technical innovation with practical implementation challenges. As former Director of the Swiss Space Center (Space Innovation), Gass led initiatives linking academic research with industry applications, including CubeSat development and space debris mitigation. He currently oversees strategic technology initiatives at EPFL while maintaining visiting professor status at MIT AeroAstro.

Yanina ShkelView profile

Assistant Professor

• Information Theory
• Privacy and Secrecy
• Data Compression
• +3 more

Yanina Shkel is an Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences. She holds appointments in the Information Processing Group, SSC-ENS, and SIN-ENS departments, with her office located at INR 131. Her academic journey includes a PhD from the University of Wisconsin-Madison (2014), postdoctoral work at Princeton University and University of Illinois at Urbana-Champaign, and prior industry experience at Morningstar Inc. and 3M Corporate Research Labs. Her research spans theoretical aspects of data science with focus on information theory applications to privacy, secrecy, and data compression. Key areas include mathematical models for privacy-aware information processing, finite blocklength data compression, secret key generation from common randomness sources, and information-theoretic methods in cryptography. She employs tools from information theory, learning theory, coding theory, statistics, and cryptography in her work. Analysis of her recent publications reveals a strong trend toward privacy-preserving information processing, with maximal leakage emerging as a central metric across multiple applications including biometric security and data compression. Her work bridges theoretical foundations with practical applications in cryptography and secure information systems, demonstrating increasing focus on quantifiable privacy metrics and their fundamental limits. Swiss NSF Starting Grant Professor Shkel leads a research lab supported by the Swiss NSF Starting Grant, mentoring doctoral students including Coban Serhat Emre, Yadav Anuj Kumar, and Çadir Cemre. Her funding history includes the NSF Center for Science of Information Postdoctoral Fellowship during her postdoctoral research. She actively recruits PhD students through EPFL's EDIC program with emphasis on theoretical data science candidates. Her laboratory focuses on theoretical data science with particular emphasis on privacy-aware information processing systems, developing mathematical frameworks for quantifying and optimizing information leakage in various applications.

Eduardo SanchezView profile

Professor

• Material Science
• Robotics
• Neural Networks
• +3 more

Eduardo Sanchez is an Honorary Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences (IC) and the IC-DEC department. He holds the email address eduardo.sanchez@epfl.ch . His research spans bio-inspired computing, materials science, and robotics, with a focus on evolvable hardware systems and advanced manufacturing processes. Key contributions include work on electrical resistance sintering, neural network modeling, and robotic cooperation frameworks. His interdisciplinary research integrates material science with computational approaches, emphasizing applications in powder metallurgy, neural network design, and autonomous systems. Notable projects include the PERPLEXUS framework for complex system simulation and studies on bio-inspired hardware platforms. Recent work explores decision-making models for recommendation systems and material characterization techniques for amorphous alloys. Publications highlight advancements in evolvable hardware, including dynamically reconfigurable FPGA platforms and methodologies for modeling large-scale neural networks. His contributions to robotics include heterogeneous robot cooperation strategies and embedded system optimization. Current activities maintain a focus on bridging biological inspiration with engineering solutions in both materials and computational domains.

Markus BambachView profile

Professor

• Manufacturing Engineering
• Mechanical Engineering
• Production Processes
• +1 more

Prof. Dr. Markus Bambach serves as Vice Rector for Study Programmes at ETH Zurich , Switzerland's leading technical university. His work focuses on advancing modern manufacturing technologies within the institution. Contact: mbambach@ethz.ch | Phone: +41 44 633 78 12 Research Interests span: Advanced manufacturing systems Production engineering Industrial process optimization Modern fabrication technologies

Dirk MohrView profile

Professor

• Mechanical Engineering
• Manufacturing Processes
• Materials Science
• +5 more

Prof. Dirk Mohr is a Full Professor at ETH Zürich's Department of Mechanical and Process Engineering, leading the Artificial Intelligence in Mechanics and Manufacturing (AIMM) group. He specializes in computational models for lightweight materials under extreme conditions, crashworthiness, and high-strain-rate material behavior. His research integrates experiments and simulations, with applications in automotive safety and advanced manufacturing. Education: PhD in Applied Mechanics from MIT (2003) MSc from University of Karlsruhe and École Nationale des Ponts et Chaussées Research Focus: Developing AI-driven models for material design and failure prediction Investigating material behavior under impact, high strain rates, and elevated temperatures Creating architected metamaterials for energy absorption and structural efficiency Battery safety mechanics and lithium-ion cell modeling Key Contributions: Recipient of the Hetenyi Award (2007) and IJP Young Investigator Award (2016) Editorial roles at International Journal of Impact Engineering and International Journal of Solids and Structures Industry collaborations with Daimler and BMW Current Projects: Machine learning for material modeling and battery safety High-speed experimentation for failure analysis Design of ultralight cellular materials

• Combustion
• Acoustics
• Fluid Mechanics
• +4 more

Prof. Nicolas Noiray is an Associate Professor and Deputy Head of the Institute of Energy and Process Engineering at ETH Zürich, where he leads the Combustion, Acoustics & Flow Physics (CAPS) Laboratory established in 2014. His research focuses on combustion, acoustics, and fluid mechanics, addressing both fundamental and applied challenges. He holds a Ph.D. from École Centrale Paris (2007) and previously worked at Alstom’s Gas Turbine Research Division. Key achievements include pioneering work on thermoacoustic instability control, hydrogen combustion systems, and plasma-assisted stabilization. He has received prestigious awards such as the Silver Medal from the International Combustion Institute and ERC grants. His academic affiliations include the Department of Mechanical and Process Engineering at ETH Zürich, with a focus on interdisciplinary research at the intersection of energy systems and fluid dynamics. His lab investigates topics like flame dynamics, aeroacoustic feedback, and novel combustor designs to enhance efficiency and reduce emissions. Research interests span combustion instabilities, acoustic wave control, and sustainable energy technologies. Recent work includes studies on hydrogen-powered combustors, nonlinear dynamics of flames, and metamaterial-based solutions for noise reduction. He has contributed to advancing computational models for large-eddy simulations and real-time digital twins for combustion systems. Notable awards include the Hiroshi Tsuji Early Career Award and ERC Consolidator/Synergy Grants, reflecting his impactful contributions to combustion science. His research bridges theoretical insights with industrial applications, particularly in aerospace and power generation sectors.

Kristina SheaView profile

Professor

• Design for Additive Manufacturing
• 4D Printing
• Multi-material AM
• +7 more

Prof. Kristina Shea is a Full Professor of Engineering Design and Computing at ETH Zürich's Department of Mechanical and Process Engineering, leading the Institute of Design, Materials a Fabrication. Her research focuses on additive manufacturing innovations, sustainable design for low-resource settings, and computational design synthesis methods. Key areas include 4D printing, multi-material AM, topology optimization, and generative design applications in biomedical devices and robotics. She holds editorial roles in journals like Programmable Materials and AIEDAM, and has received awards including the Philip Leverhulme Prize (2001) and ASME Fellowship (2014). Her academic journey includes roles at Cambridge University, TU München, and postdoctoral work at EPFL. Current research emphasizes smart materials, deployable structures, and AI-driven design automation. Education: BS/MS (1993-1995), PhD (1997) - Carnegie Mellon University Positions: Visiting Professor at Cambridge (2002-2005), TU München (2005-2012) Key Projects: 4D printed actuators, sustainable construction materials, medical device heuristics Her work bridges theoretical design methods with practical applications, addressing global challenges through innovative manufacturing and material science solutions.