Find Academic Supervisors

Yves MartinView profile

Lecturer

• Plasma Physics
• Fusion Energy
• Tokamak Control Systems
• +3 more

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.

Stefanie BräuerView profile

Lecturer

• Art History
• Media Studies
• History of Audiovisual Practices
• +6 more

Dr. Stefanie Bräuer is an art historian and media scholar currently serving as a Lecturer at Lucerne University of Applied Sciences and Arts (Hochschule Luzern) and as a PostDoc at the Critical Media Lab, IXDM HGK Basel. Her academic journey includes doctoral studies at the University of Basel, where she defended her dissertation on electronic oscilloscopy in animated experimental film of the early 1950s in December 2021. Her research focuses on the history of audiovisual practices with particular attention to animation, theories and cultures of digital media, and the media aesthetics of experimental procedures across arts, sciences, and technology. She is currently working on video production and online activism in the 1980s and 1990s, with a specific focus on Basel's historical network analysis of video practice and net activism during this period. Bräuer's scholarly output reveals a consistent engagement with media archaeology, particularly examining the intersection of early electronic technologies and cinematic practices. Her publications demonstrate expertise in experimental animation, oscilloscope imaging, audiovisual synthesis, and the material dimensions of media. She has established herself as a significant voice in understanding how technological affordances shape creative practices, especially in the context of 1950s experimental film and 1980s-1990s video activism. Doc.Mobility-Stipendium des Schweizerischen Nationalfonds (2017-2018) Förderung der Christoph Merian Stiftung (2021-2022) Stipendiatin der Studienstiftung des deutschen Volkes (2006-2010) Reisefonds für akademischen Nachwuchs der Universität Basel (multiple awards) Her teaching portfolio spans multiple institutions including Hochschule Luzern and HGK FHNW Basel, where she has instructed courses on the history of audiovisuality, digital media theory and culture, creative coding, and media aesthetics of experimental practices. She has also contributed to academic discourse through numerous conference presentations across Europe, with upcoming engagements scheduled through 2025. Her work bridges historical media practices with contemporary digital culture, making significant contributions to our understanding of media's evolving role in society.

Peter KieferView profile

Lecturer

• Eye tracking
• Spatial decision making
• Human-computer interaction
• +6 more

Peter Kiefer is a Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, specifically within the Institute for Cartography and Geoinformation. He leads the geoGAZElab research group since 2011 and has established himself as a prominent researcher in eye tracking applications for spatial decision-making. His work bridges geography, computer science, and human factors with a focus on creating cognition-aware systems. Dr. Kiefer's research spans multiple domains with a consistent focus on how eye tracking technology can enhance spatial decision situations. His primary interests include gaze-based interaction with maps, location-based services, mobile interfaces, and aviation applications. He has pioneered work in intention recognition from gaze patterns, gaze-adaptive interfaces, and the application of eye tracking in outdoor environments. His research aims to make information systems cognition-aware by inferring users' cognitive states and adapting interfaces accordingly. Analyzing his recent publications reveals strong trends toward practical applications of eye tracking in real-world scenarios, particularly in aviation safety and spatial decision-making. His work increasingly integrates machine learning with gaze data to create intelligent systems that can predict user needs and adapt interfaces dynamically. The research shows a clear progression from theoretical foundations to applied solutions in domains like weather visualization for pilots, 3D sketch mapping, and unobtrusive interaction techniques. Dr. Kiefer has been actively involved in numerous research projects as Principal Investigator or key contributor, including IGAMaps (Swiss National Science Foundation), PEGGASUS (EU Horizon 2020), EFDISA (Federal Office of Civil Aviation), and FRS 2 (National Research Foundation Singapore). These projects demonstrate his ability to secure competitive funding and lead interdisciplinary research teams across international boundaries. As an educator, Dr. Kiefer teaches Mobile GIS and Location-Based Services for Geomatics Master students, GIS I for Environmental Engineers, and contributes to courses on Mobile GIS, Human-Computer Interaction in GIS, and GIS III. He also participates in continuing education programs including the Certificate of Advanced Studies on Spatial Information Systems and the Master of Advanced Studies on Mobility of the Future. His teaching is deeply integrated with his research, particularly through the geoGAZElab where students gain hands-on experience with cutting-edge eye tracking technologies. The geoGAZElab under Dr. Kiefer's leadership serves as a hub for innovative research at the intersection of geography, computer science, and cognitive science. The lab has developed specialized tools and methodologies for outdoor eye tracking, gaze-based map interaction, and aviation interface design. The lab's work has significant implications for improving spatial decision-making across multiple domains including transportation, urban planning, and emergency response.

Thomas BeschornerView profile

Professor

• Business Ethics
• Cultural Ethics
• Digitalization
• +2 more

Thomas Beschorner serves as Professor of Business Ethics at the University of St. Gallen, affiliated with the Institute for Business Ethics (IWE-HSG). His work intersects economics, ethics, and society, with a focus on cultural dimensions of business ethics and digital transformation. Research interests include Business Ethics, Cultural Ethics, Digitalization, Economic Philosophy, and Societal Transformation. His investigations explore how ethical frameworks apply to technological advancements and economic systems. Publications predominantly address ethical dimensions of digitalization, business governance, and societal challenges. Recent works analyze algorithmic decision-making, cultural business ethics, and socio-political responsibilities of corporations during crises, reflecting consistent engagement with technology-ethics interfaces. Awards & Service: No explicit awards mentioned in source materials. Teaching & Advising: Engages in public discourse through non-academic platforms like Hablemos Escritoras and media outlets, though no formal advising relationships are documented.

• Smart Grids
• IoT
• Machine Learning
• +4 more

Slobodan Lukovic is a Senior Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the ALaRI group and the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI). He holds a PhD in Computer Architectures from USI and a master’s in Embedded Systems Design, alongside a bachelor’s degree from the University of Belgrade’s Faculty of Electrical Engineering. His research focuses on applying advanced AI techniques to IoT challenges, particularly in sustainability and Smart Grids. Key areas include energy storage optimization, grid load forecasting using deep learning, and blockchain integration in smart city infrastructure. He leads projects such as SONDER, GraPV, and SWAIN, emphasizing proactive maintenance, grid resilience, and virtual power systems. Lukovic’s work spans cyber-physical systems, data-driven methods, and machine learning applications. Notable contributions include frameworks for smart grid disturbance analysis, fault injection testing, and multi-agent systems for prosumer integration. His expertise in NoC-based MPSoC security and model-driven design further underscores his interdisciplinary approach. He has advised multiple projects and contributes to labs/teams at USI, focusing on bridging ICT and energy systems for sustainable urban development.

Xingfan ZhangView profile

Researcher

• Computational Physics
• Materials Science
• Chemistry
• +5 more

Dr. Xingfan Zhang is a postdoctoral researcher at the University of Basel's Department of Physics within the Computational Physics Group led by Prof. Stefan Goedecker, where he investigates metal/oxide-supported catalytic systems for CO/CO 2 conversion using machine-learned potentials and electronic-structure calculations. He joined the group in March 2025 after completing his PhD at University College London under Prof. Sir Richard Catlow. His academic background includes: 2025–present: Postdoc, University of Basel, Switzerland 2020–2024: PhD in Chemistry, University College London, UK 2017–2020: Master in Materials Science, Shandong University, China 2013–2017: Bachelor in Materials Science and Engineering, Shandong University, China A computational scientist specializing in DFT, molecular dynamics, and Monte Carlo simulations, Zhang's research centers on metal oxide materials—particularly ceria—with emphasis on electronic structures, defect chemistry, and surface reactivity for catalytic applications. His methodology integrates interatomic potentials, hybrid QM/MM models, and minima hopping algorithms to bridge theoretical modeling and practical energy conversion challenges. His publication trends (2019–2025) reveal a concentrated focus on ceria-based systems, addressing defect heterogeneity, dopant effects, and band-edge properties. This work demonstrates escalating sophistication in computational materials science, with recent studies leveraging machine learning to resolve surface reactivity and defect clustering phenomena critical for catalytic design. As part of the Computational Physics Group, Zhang contributes to interdisciplinary projects spanning physics, chemistry, and computer science. The group develops atomistic simulation methods for structure prediction and materials discovery, with current priorities on noise-tolerant force calculations and entropic stabilization in complex molecular crystals—aligning with Zhang's expertise in catalytic system modeling.

James IrvingView profile

Associate Professor

• Applied Geophysics
• Glaciology
• Geophysical Imaging
• +3 more

James Irving is an Associate Professor and Head of the Cold Regions Applied Geophysics Group (CRAG) at the University of Lausanne's Institute of Earth Sciences (ISTE). He holds a Master's from the University of British Columbia and a PhD from Stanford University. His career includes postdoctoral work in Lausanne, a tenure as Assistant Professor at the University of Guelph, and roles as Senior Lecturer and Researcher before his 2023 promotion. Irving specializes in applied geophysics, focusing on cold regions, glaciers, and alpine environments, leveraging advanced geophysical methods like drone-based ground-penetrating radar (GPR) for subsurface imaging. His team developed a high-performance GPR-drone system to map glacier structures, yielding critical insights into ice dynamics and environmental changes. Key projects include studies on the Rhône and Otemma glaciers, termite mound structures, and sedimentary deposits in Botswana. Education: PhD in Geophysics, Stanford University (2006) Master's, University of British Columbia (Canada) Research Interests: James Irving’s work centers on applied geophysics in cold regions, emphasizing glaciology and alpine environments. His innovations include integrating drones with GPR for large-area subsurface surveys, improving data resolution and safety. His team’s GPR systems enable precise 3D/4D monitoring of glaciers, revealing structural dynamics hidden beneath ice. Additionally, he applies statistical and machine learning techniques to reconstruct geophysical data and model subsurface processes, such as subglacial channels and poroelastic effects in fractured media. Publications: Recent work highlights advancements in GPR data reconstruction (e.g., multiple-point statistical approaches), drone-GPR system development, and climate-driven glacier retreat studies. His articles bridge geophysics with environmental science, addressing challenges in cold region monitoring and subsurface characterization. Advising & Grants: He has supervised doctoral students including Ruols Bastien and Zhang Chongmin. His research is supported by grants focusing on glaciological technology, geophysical inversion methods, and environmental data integration. Collaborations span institutions like Stanford, ETH Zurich, and the University of Botswana. Labs & Teams: As CRAG leader, he oversees projects in applied geophysics, drone-GPR innovation, and cold region fieldwork. The group collaborates with international teams to advance glaciological and environmental monitoring techniques.

Didier HansView profile

Associate Professor

• Medical Imaging
• Bone Diseases
• Osteoporosis
• +7 more

Didier Hans is Associate Professor in Research and Development in the field of bone diseases at the Faculty of Biology and Medicine of the University of Lausanne (UNIL) and Head of the CHUV Bone Disease Center, appointed on December 1, 2012. He holds an 80% activity rate, indicating a part-time academic role. His work bridges academic research, clinical innovation, and industrial development in medical imaging for bone disorders. PhD in Medical Physics, Claude Bernard University, Lyon (1993) Master of Science in Medical Engineering, Claude Bernard University, Lyon (1991) Executive Master of Business Administration, Haute École Commerciale de l'Université de Genève (2004) Didier Hans specializes in medical imaging applied to bone diseases, particularly osteoporosis and fracture risk assessment. His research focuses on two main axes: validating new imaging technologies and developing clinical algorithms to improve patient care. He is a world leader in clinical densitometry and bone microarchitecture analysis, with over 160 publications and leadership in international research collaborations. The recent articles reflect a strong trend in translational research, combining engineering, physics, and clinical medicine. Key areas include optimization of bone measurement technologies, integration of imaging into multidisciplinary platforms, and development of risk prediction models using large cohort data (OstéoLaus, Ostéomobile). His work spans technology validation, clinical implementation, and educational standardization through global societies. Scientific awards and leadership roles include: President of the International Society for Clinical Densitometry (ISCD) – first non-North American and non-physician in this role Initiator of collaboration between ISCD and International Osteoporosis Foundation for unified teaching Founder of Synarc, now the world’s largest centralized imaging analysis lab for clinical trials Founder of two companies: Med-imaps and Ascendys Privat-docent at the Faculty of Medicine, University of Geneva (later transferred to UNIL) Didier Hans has advised numerous scientific collaborations worldwide, with over 50 ongoing studies. His grants and research projects focus on optimizing bone and body composition measurements across macro and micro levels. He leads R&D at the CHUV Bone Disease Center and has played a key role in expanding clinical activity and patient care models since 2008. He leads the OstéoLaus and Ostéomobile research cohorts, involving over 3,000 women, which serve as critical platforms for longitudinal bone health research. His multidisciplinary team integrates expertise from radiology, nuclear medicine, engineering, and data science to advance diagnostics and personalized care in bone diseases.

Rishabh IyerView profile

Assistant Professor

• Computer Systems
• Performance Analysis and Optimization
• Operating Systems
• +5 more

Rishabh Iyer is an Assistant Professor in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley. His research bridges computer systems, networking, and formal methods with a focus on performance predictability and reliability. Prior to Berkeley, he completed his PhD at EPFL and undergraduate studies at IIT Bombay. His educational background includes: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL) Bachelor's degree from Indian Institute of Technology Bombay (IIT Bombay) Iyer's research centers on performance interfaces for computer systems – creating succinct abstractions that allow engineers to reason about system performance without understanding implementation details. His work spans three major directions: (1) Extracting performance interfaces from implementations, (2) Designing systems with predictable performance, and (3) Formally verifying performance claims. This research combines operating systems, networking, computer architecture, and formal verification techniques to address performance unpredictability in modern systems. His group develops tools like PIX for network functions, KFlex for kernel extensions, and Software LPN for hardware accelerators. His publications reveal strong focus on performance modeling for network functions, kernel extensions, and hardware accelerators, with recent work expanding into real-time systems and SD-WAN validation. The research consistently targets practical impact, with deployments at companies like Meta and Alibaba. Scientific recognition includes: ACM SIGOPS Dennis M. Ritchie Award Eurosys Roger Needham PhD Award Dimitris N. Chorafas Award Best Paper at VDAT 2019 Iyer actively advises students at UC Berkeley and teaches courses including CS 294-262 (Performance Analysis) and CS 168 (Internet Architecture). Previously at EPFL, he taught Principles of Computer Systems, Software Engineering, and Vector Calculus. His group seeks talented students interested in building reliable, high-performance systems. Current research directions include performance interfaces for distributed applications, next-generation kernel extensions, and formally verified network systems. He leads research within UC Berkeley's systems community and maintains strong connections with EPFL's Dependable Systems Lab where he completed his PhD.

• Graph Machine Learning
• Signal Processing
• Higher-Order Networks
• +5 more

Elvin Isufi is an Associate Professor at the Delft University of Technology (TU Delft) , where he co-founded and co-directs AIdroLab , one of the 24 TU Delft AI Labs. His research focuses on fundamental and applied graph-based data processing with applications to water networks, flood modeling, infrastructure systems, and recommender systems. Elvin obtained his Ph.D. from TU Delft in graph signal processing and completed his master's and bachelor's studies at the University of Perugia in Italy. He has been mentored by renowned academics including Prof. Alejandro Ribeiro (postdoc), Prof. Geert Leus (Ph.D.), and Prof. Paolo Banelli (master's/bachelor's). His research integrates signal processing , machine learning , and mathematical modeling to develop techniques for graph signal processing, graph neural networks (GNNs), and higher-order network analysis. Key application domains include water distribution networks , flood modeling , and recommender systems . His work addresses critical challenges such as stability analysis of GNNs, dynamic graph processing , and physics-informed machine learning . Recent publications highlight advancements in multi-scale hydraulic GNNs for flood prediction, carbon footprint-aware recommender systems , and simplicial vector autoregressive models for edge flow analysis. His research group includes Ph.D. students like Bishwadeep Das and M.Sc. students exploring topics such as online edge flow prediction and topological signal processing . 2021: Audience Choice Award, IEEE Data Science and Learning Workshop 2022: Best Student Paper Award, IEEE DSLW 2023: Top 3% Recognition Award, ICASSP Elvin actively supervises students in graph machine learning projects, emphasizing requirements like Python and PyTorch/TensorFlow expertise . He provides structured thesis project themes covering dynamic graph analysis , physics-informed GNNs , and self-supervised learning for networked data.

Stephanie VolzView profile

Researcher

• Digital Law
• Technology Law
• Data Protection Law
• +4 more

Stephanie Volz serves as a Researcher and Scientific Managing Director of the Center for Information Technology, Society, and Law (ITSL) at the University of Zurich's Faculty of Law, with additional affiliation to the University Research Priority Program (URPP) Human Reproduction Reloaded / H2R. Her academic credentials include: Legal studies at the University of Zurich (2003–2008) Didactical training in Teaching Skills at the University of Zurich (2008–2010) Doctoral thesis in media law at the University of Zurich (2013) Admission to the Zurich bar (2013) Research stay at Hamburg's Hans-Bredow-Institut (2023) Visiting Researcher position at UNSW Sydney (2025) Volz's scholarship critically examines digital law and technology governance , with concentrated expertise in data protection frameworks , media regulation , and privacy jurisprudence . Her current URPP H2R work investigates normative structures in human reproduction, bridging bioethics and legal theory within digital society contexts. She analyzes evolving regulatory challenges at law-technology intersections, particularly regarding algorithmic accountability and biometric data sovereignty. As Scientific Managing Director of ITSL, Volz leads an interdisciplinary hub advancing research on digital constitutionalism and platform regulation. Her URPP H2R contributions focus on reproductive technology governance, examining legal personhood constructs and cross-border fertility service frameworks through collaborative teams spanning law, ethics, and medical sciences.

Gabriela MorgenshternView profile

Research Fellow

• Machine Learning
• Interactive Visualization
• Healthcare Data Analysis
• +4 more

Gabriela Morgenshtern is a Ph.D. candidate at the University of Zurich and a DSI Excellence Fellow, affiliated with the Faculty of Business, Economics and Informatics and the Department of Informatics. Her research focuses on interactive data visualization strategies to improve machine learning models in healthcare, particularly for recalibrating models through user feedback from practitioners and patients. Education : Hon. B.Sc. in Bioinformatics and Computational Biology, M.Sc. in Computer Science (University of Toronto), supervised by Prof. Anna Goldenberg and Prof. Fanny Chevalier. Research Affiliations : Vector Institute, Hospital for Sick Children, Canadian Bioinformatics Workshop. Research Focus : Human-model teaming applications, wearable sensor data analysis, uncertainty visualization in clinical settings, and interdisciplinary collaboration tools. Scientific Awards : DSI Excellence Fellow DeepMind Scholar Fellowship Projects include collaborative design for remote monitoring tools, innovations in digital health interventions, sensor data pipelines, and reflection promotion systems. She contributes to the DSI-Health community and leverages her industry experience to enhance user experiences in healthcare analytics.

Ulrich Leicht-DeobaldView profile

Associate Professor

• Organizational Behavior
• Team Dynamics
• Algorithmic Management
• +5 more

Ulrich Leicht-Deobald is an Associate Professor in Responsible Leadership at Trinity Business School, Trinity College Dublin . Holding a PhD in Strategy and Management from the University of St.Gallen, he explores multi-level issues connecting individuals, organizations, and society. His research spans team boundary management, AI ethics, and digital workplace dynamics. Senior Research Fellow at Institute for Business Ethics (University of St.Gallen) Held visiting positions at University of Michigan, INSEAD, and University of Groningen Recipient of €650,000+ competitive funding from SNSF, SAGW, and University of St.Gallen Research cited in UN ILO, EU-OSHA, OECD, and Eurofound policy documents Advisory role on editorial boards of Journal of Management and Journal of Business Ethics His work examines: Algorithmic management's ethical implications Team dynamics and organizational identification Datafication technologies' impact on workplace control Humanizing digital transformation in HR decision-making Psychic distance theory in international business contexts Research outputs span 2014-2025 , with recent focus on: AI fairness in organizational contexts Team boundary management meta-analysis Algorithmic HR decision-making ethics Workplace social support mechanisms Scientific recognition includes: EURAM Best Paper (2022) AOM awards (2016-2019) INGroup finalist (2015) Lindau Nobel Laureate invitation (2014) Combining academic rigor with practical experience from 10 years as German theatre actor , his interdisciplinary approach bridges organizational science with humanistic perspectives.

Mykola MakhortykhView profile

Lecturer

• Algorithmic Auditing
• Artificial Intelligence
• Holocaust Memory Transmission
• +5 more

Dr. Mykola Makhortykh is a Lecturer at the Institute of Communication and Media Studies (University of Bern), where he examines how algorithmic systems and AI shape Holocaust memory transmission. Previously, he served as a postdoctoral researcher at the University of Amsterdam and University of Bern, focusing on algorithmic fairness in news personalization and political information behavior in high-choice environments. Education : BA in History (Kyiv Taras Shevchenko University), MA in Archaeology (Kyiv Taras Shevchenko University), Joint MA in Euroculture (University of Goettingen & Jagiellonian University), BA in Computer Science (University of the People), PhD in Communication Science (University of Amsterdam). Research Interests span algorithmic auditing, computational propaganda, trauma/memory studies, cybersecurity, and digital cultural heritage. He combines traditional social science methods with computational approaches like deep learning and agent-based testing to analyze how search engines and recommender systems influence historical memory and political discourse. Recent Work includes audits of search engine biases in representing mass atrocities, studies on political trolling, and analyses of hyperpartisan media. His scientific awards include the Alfred Landecker Lecturer position. As an editor , he contributes to the Studies in Russian, Eurasian and Central European New Media journal and the Transdisciplinary Trauma Studies book series. Teaching includes courses on algorithmic auditing, while his editorial work and conference presentations (over 50) highlight his interdisciplinary impact.

Chiara ValliView profile

Researcher

• Political Communication
• Persuasive Communication
• Political Psychology
• +3 more

Chiara Valli is a postdoctoral researcher at the University of Bern's Institute of Communication and Media Studies, specializing in political communication and psychology. She completed her PhD in Bern (2020-2024), a Research Master in Communication Science at University of Amsterdam, and BA in Political Science at University of Zurich. Key research areas: Political Communication, Persuasive Communication, Political Psychology Active in experimental communication science and personality-political behavior intersections Contributions to understanding political incivility, conspiracy theory dissemination, and gendered campaign dynamics Regular participant at major conferences: APSA, ICA, ISPP, and SPSA Teaches courses on political persuasion, cross-cutting political experiences, and communication experiments Her recent publications examine political bias in information processing, persuasive effects of mosque visibility, and personality-based resistance to political messages. She combines self-report and webtracking data to analyze political news consumption patterns, and investigates how populist attitudes moderate persuasion effectiveness. At University of Bern, she designs and leads seminars on classical communication theories and experimental methodologies, emphasizing practical application through student-led research projects and real-world campaign analysis.