جستجوی استاد راهنمای دانشگاهی

• Business Engineering
• Digital Transformation
• Blockchain Technology
• +۶ مورد دیگر

Reinhard Jung is a Full Professor of Business Engineering at the University of St. Gallen , where he also serves as Director of the IWI-HSG institute. Since 2021, he has held the role of Dean of the School of Management . Prior to this, he was a Full Professor at the University of Duisburg-Essen (2007-2009) and an Assistant Professor at the University of Bern (2002-2007). His research focuses on Digital Transformation , Blockchain Technology , Business Ecosystems , and Wearable Technology . Key areas include analyzing how technology impacts organizational processes, value creation in ecosystems, and behavioral change mechanisms driven by digital tools. His work bridges theoretical frameworks with practical applications in industries like healthcare, finance, and logistics. He advises students such as Tobias Mirsch and has contributed to over 100 publications since 2008, addressing topics ranging from social CRM to agile IT governance . His research emphasizes the intersection of technology, business strategy, and human behavior. Jung’s leadership roles include shaping the IWI-HSG as a hub for innovation in business engineering and driving strategic initiatives as Dean, focusing on interdisciplinary education and digital transformation strategies.

• Programming Languages
• Formal Verification
• Compilers
• +۵ مورد دیگر

Clément Pit-Claudel is a Tenure-Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), leading the SYSTEMF Laboratory in the School of Computer and Communication Sciences. His work bridges programming languages, formal verification, and systems engineering to build high-assurance software and hardware components. PhD in Computer Science from MIT (2016), thesis on proof-producing compilers MSc in Computer Science from MIT BSc in Computer Science from École Polytechnique (France) Research Interests focus on correct-by-construction program synthesis , domain-specific compilers , and formal verification . He develops tools like Alectryon for interactive Coq proof visualization and Rupicola for verified compiler construction. His work spans hardware description languages (e.g., Kôika ), software verification (e.g., Fiat ), and regex engine formalization (e.g., Elk and Warblre ). Recent publications include foundational work on JavaScript regex mechanisms (ICFP 2024), relational compilation (PLDI 2022), and hardware simulation (ASPLOS 2021). His lab SYSTEMF emphasizes full assurance without compromise through machine-checked proofs and hardware-software co-design. Awards include the MIT Frederick C. Hennie III Teaching Award (2016) and MIT William A. Martin Thesis Award (2016). He has served as program committee member for conferences like PLDI, POPL, and Coq Workshop. Teaching includes Software Construction (400+ students at EPFL) and Interactive Theorem Proving graduate course. He has advised doctoral students in formal methods and compiler design.

Marco Hutterمشاهده پروفایل

استاد

• Robotics
• Intelligent Systems
• Autonomous Navigation
• +۴ مورد دیگر

Prof. Marco Hutter is a Full Professor at the Department of Mechanical and Process Engineering at ETH Zürich, and Deputy Head of the Institute for Robotics and Intelligent Systems. His research focuses on advanced robotics, including autonomous legged systems, robotic perception, and control strategies for challenging environments. He leads projects in areas such as forest inventory using legged robots, space exploration robotics, and mobile manipulation systems. His work emphasizes real-world deployment, with contributions to robotic navigation, sensor integration, and policy optimization. Prof. Hutter collaborates on large-scale datasets and frameworks like ROS-LLM for embodied AI, and explores applications in logistics, construction, and planetary exploration. His team develops both hardware (e.g., LEVA logistic vehicles) and software solutions (e.g., risk-guided diffusion models for safety-critical systems). Key projects include ETHcavation (construction environment understanding) and TartanGround (robot perception datasets). He pioneers work in agile locomotion policies, magnetic climbing robots, and multi-agent robotic teams for parcel delivery. His research bridges theoretical advancements with practical implementations, addressing challenges in terrain adaptation, energy efficiency, and robustness in autonomous systems.

Esther Amstadمشاهده پروفایل

دانشیار

• Soft Matter Physics
• Materials Science
• 3D Printing
• +۷ مورد دیگر

Esther Amstad is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Department of Materials Science and Engineering. She leads the Soft Matter for Life Sciences Laboratory (SMAL) and directs the doctoral program in Materials Science and Engineering. Her roles include teaching courses on soft matter and mentoring PhD students in interdisciplinary research. Current affiliations: EPFL STI IMX SMAL, EPFL STI STI-SMX SMX-ENS, EPFL VPA-AVP-DLE AVP-DLE-EDOC EDMX-GE (Doctoral Program Director), and EPFL VPA-AVP-DLE AVP-DLE-EDOC CDOCT (Doctoral Commission Member). Her research focuses on soft matter , hydrogels , 3D printing , and colloidal systems . She develops self-healing materials , biocompatible composites , and bioinspired structures using microfluidics and advanced fabrication techniques. Key themes include mechanical reinforcement , stimuli-responsive materials , and multi-sensory integration for biomedical and robotics applications. Recent publications highlight her work on granular hydrogels , 3D-printed biocomposites , and microfluidic encapsulation . These studies span tissue engineering , photonic materials , and sustainable resource conversion . Her lab's output emphasizes soft robotics , structural color , and programmable release systems . Esther Amstad supervises 12 current PhD students and has directed 14 PhD theses at EPFL. Her team explores applications in artificial cells , self-healing e-skin , and mechanoreceptive devices . The lab employs microfluidic platforms , colloidal assembly , and additive manufacturing to address challenges in materials longevity and functionality.

Franz-Josef Haugمشاهده پروفایل

مدرس ارشد

• Solar Cell Technology
• Photovoltaics
• Renewable Energy
• +۳ مورد دیگر

Franz-Josef Haug is a Senior Scientist and Senior Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), specifically within the School of Engineering (STI) and the Photovoltaics and Thin Film Electronics Laboratory (PV-LAB). He also serves as a member of the EPFL teacher council (CCE). His research focuses on photovoltaic technologies, particularly silicon solar cells and passivating contacts. He has multiple teaching responsibilities including courses on modern photovoltaic technologies. Dr. Haug's educational background includes: Dipl. Phys. in Physics from University of Ulm (Germany), 1996 Dr. Sc. Nat. in Physics from Swiss Federal Institute of Technology (ETH) Zürich, 2001 His research interests span multiple areas in renewable energy and semiconductor physics, with a strong focus on photovoltaic technologies. He specializes in the development of passivating contacts for crystalline silicon solar cells, using thin silicon films as contact layers. His work also encompasses optics, charge transport in semiconductors, and various aspects of thin film electronics for solar energy conversion. Dr. Haug has made significant contributions to the field of photovoltaics through his extensive publication record. His recent work focuses on TOPCon solar cells, passivating contacts, boron emitters, and high-temperature processing techniques. He has also explored applications of machine learning in solar cell design and investigated alternative materials like zinc phosphide and indium gallium nitride for next-generation photovoltaic devices. His scientific achievements include numerous publications in high-impact journals, though specific awards are not mentioned in the available information. Dr. Haug has supervised multiple PhD students including Hurni Julien, Biron Rémi, Genç Ezgi, Lehmann Mario Joe, Libraro Sofia, Naqavi Ali, Nogay Gizem, Stückelberger Josua Andreas, Stückelberger Michael Elias, and Söderström Karin. His teaching responsibilities include the course 'Modern photovoltaic technologies,' which covers fundamental physics, device operation, and technological development of various solar cell technologies. He is actively involved in the academic community through his membership in the EPFL teacher council (CCE), where he represents the interests of intermediate staff and advocates for concerns of satellite campuses.

Jean-Marc Odobezمشاهده پروفایل

استاد مدعو

• Computer Vision
• Machine Learning
• Deep Learning
• +۶ مورد دیگر

Jean-Marc Odobez is a Senior Scientist at the IDIAP Research Institute and Adjunct Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), where he is affiliated with the School of Engineering and serves on the Electrical Engineering Doctoral committee (EDEE). He leads the Perception & Activity Understanding Group at Idiap and has extensive teaching responsibilities across multiple departments. Dr. Odobez received his PhD in Computer Science from Rennes University in 1994. His research focuses on multimodal perception systems combining computer vision, statistical machine learning, and deep learning for activity recognition, behavior understanding, and human-robot interaction. His work spans diverse application domains including human health assessment, social robotics, and media content analysis. His recent research shows strong trends in gaze estimation, human activity recognition, and multimodal processing. His team has developed innovative solutions for gaze tracking, head pose estimation, and activity recognition using depth sensors and neural networks. His work increasingly bridges computer vision with digital humanities, particularly in the analysis of ancient Maya glyphs. IEEE member Associate Editor of Machine Vision and Applications journal Dr. Odobez has supervised numerous PhD students and serves as a committee member for the Electrical Engineering Doctoral program. He has been principal investigator for over 16 European and Swiss research projects and has worked on 10 technology transfer projects with SMEs. He co-founded Klewel SA and Eyeware SA, focusing on eye tracking and attention modeling technologies. His research group actively collaborates with industry partners and maintains strong connections with the computer vision and human-computer interaction research communities.

John Christopher Plummerمشاهده پروفایل

پژوهشگر

• Materials Science
• Polymers
• Polymer Composites
• +۴ مورد دیگر

John Christopher Plummer is a Senior Scientist at the École Polytechnique Fédérale de Lausanne (EPFL) within the Laboratory of Macromolecular and Organic Materials (LMOM) under the School of Engineering (STI). He has over 20 years of expertise in materials science and physics, focusing on polymer composites, nanocomposites, and advanced characterization techniques like TEM, HREM, and AFM. His research emphasizes process-structure-property relationships in polymers, bio-based materials, and sustainable composites. Education & Career: PhD in Physics from the University of Cambridge (1989), focusing on superconductivity Postdoctoral roles at University of Michigan (1995-1996) and University of Cambridge (1986-1989) Joined EPFL in 1989 as Collaborateur Scientifique/Chargé de Cours (Lecturer) and became Privat Docent in 1998 Research Focus: Polymer morphology, microdeformation analysis, and sustainable materials. Key contributions include studies on polystyrene/laponite nanocomposites, hybrid glass-reinforced polymers, and TiO₂ coatings for photovoltaics. Teaching: Courses on polymer structures, processing, and materials science at EPFL. Supervised multiple PhD students including Azra Charly David, Pascal Clausen, and Claire Delabarde. Awards: Prix R&R Haenny (2007), DuPont Research Award (2003), and recognition from the British Polymer Group (1989). Publications: Over 140 peer-reviewed articles, including seminal works on nanocomposite mechanics and advanced characterization methods. Authored a textbook on polymer materials and holds patents in polymer processing. Labs & Teams: Leads the LMOM lab and collaborates with the LTC and LP laboratories at EPFL. Active in interdisciplinary projects combining materials science with renewable energy and microengineering applications.

Melika Payvandمشاهده پروفایل

استادیار

• Neuroinformatics
• Artificial Intelligence
• Neuromorphic Computing
• +۵ مورد دیگر

Melika Payvand is an Assistant Professor at the Institute of Neuroinformatics, University of Zurich and ETH Zurich, leading the Emerging Intelligent Substrates lab. She holds MSc and PhD degrees in Electrical and Computer Engineering from the University of California, Santa Barbara (2012 and 2016). Her research focuses on understanding natural intelligence and translating its principles into efficient artificial intelligence systems, particularly exploring hierarchical structures and memristive devices to reduce AI operational costs. She received the 2023 Swiss National Science Foundation Starting Grant and is actively involved in neuromorphic initiatives, including co-coordinating the NEUROTECH project and co-chairing the International Conference on Neuromorphic Systems (ICONS). Her work bridges neuroscience and engineering, emphasizing neuromorphic computing’s potential for scalable and energy-efficient AI. Key contributions include developing the Neurobench benchmarking framework and advancing 3D integration for neuromorphic systems. She also chairs the Neural Systems and Applications committee of the IEEE Circuits and Systems Society, reflecting her leadership in the field. Research interests span neuromorphic architectures, memristive technologies, and spiking neural networks. She has pioneered studies on temporal hierarchy, in-memory computing, and hardware-aware training methods. Her lab’s interdisciplinary approach integrates circuit design, machine learning, and neurobiology to create next-generation intelligent systems.

• Risk management
• Systemic risk
• Value-at-Risk (VaR)
• +۶ مورد دیگر

Christophe Pérignon is a Professor and Associate Dean for Research at HEC Paris, a leading business school in France. He is affiliated with the Finance Department and has established himself as a prominent scholar in financial risk management, systemic risk, and computational reproducibility in finance. His work bridges academic research with practical applications in banking regulation and risk management. His research spans several critical areas in modern finance: Advanced risk management methodologies, particularly Value-at-Risk (VaR) modeling and validation Systemic risk measurement and financial regulation frameworks Computational reproducibility in financial research through multi-analyst studies Machine learning applications in banking and credit scoring Ethical considerations in algorithmic finance Professor Pérignon's recent work demonstrates a significant shift toward examining the reproducibility crisis in financial research and the integration of machine learning techniques into traditional risk management frameworks. His influential paper "Nonstandard Errors" in the Journal of Finance (2024) examines how different research teams approach the same financial questions, highlighting methodological challenges in the field. He has also pioneered tools like "The Risk Map" for validating risk models, which has practical applications for financial institutions. His scholarly impact is substantial, with over 38 published papers that have collectively received more than 50,000 downloads and 499 citations on SSRN, placing him among the top researchers in finance. His collaborative work spans multiple international institutions, reflecting the global nature of financial research and regulation. As Associate Dean for Research at HEC Paris, Professor Pérignon plays a key leadership role in shaping the research agenda of one of Europe's premier business schools. His work continues to influence both academic discourse and practical risk management approaches in the financial industry worldwide.

• Behavioral Finance
• Asset Pricing
• Investor Sentiment
• +۴ مورد دیگر

Remco C. J. Zwinkels is a Professor at Vrije Universiteit Amsterdam, School of Business and Economics , with affiliations to institutions like Tinbergen Institute and collaborations across global universities including Erasmus University Rotterdam, University of Luxembourg, and Utrecht University. His research bridges finance, economics, and behavioral science. Key affiliations: Vrije Universiteit Amsterdam, Tinbergen Institute, Erasmus University Rotterdam His research focuses on behavioral finance , heterogeneous agent models , market efficiency , and investor sentiment . He investigates how psychological factors and market structures influence asset pricing, exchange rates, and corporate decision-making. Recent work explores climate transition risk (carbon beta), investor attention dynamics (post-COVID-19), and nonstandard errors in market liquidity. His studies often combine empirical analysis, experimental methods, and agent-based modeling. He collaborates with institutions such as Erasmus Research Institute of Management (ERIM), Stockholm School of Economics, and the Bank of Canada. His work appears in journals like the Journal of Finance , Journal of Economic Behavior and Organization , and Journal of Empirical Finance .

• Fluid-Structure Interaction
• Geophysics Applications
• Immersed Boundary Methods
• +۳ مورد دیگر

Maria Giuseppina Chiara Nestola is a Researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), and partially affiliated with the Department of Earth Sciences at ETH Zurich. Her work focuses on developing advanced numerical methods for fluid-structure interaction (FSI), immersed boundary techniques, and fracture network modeling in biomedical and geophysical contexts. She contributes to projects like FASTER (geothermal reservoir simulations) and HPC-PREDICT (cardiovascular prognosis), and leads software development for tools like AV-FLOW (FSI library), Parrot (fracture network modeling), and Utopia (linear algebra). Her research integrates high-performance computing with applications in geophysics (e.g., seismic hazard assessment, geothermal systems) and biomechanics (e.g., aortic valve dynamics, turbulent blood flow). Key collaborations include the Center for Computational Medicine in Cardiology and the Swiss Competence Center for Energy Research (SCCER-SoE). She holds roles as FOMICS administrator and project co-PI/co-investigator in PASC initiatives. Her technical expertise spans parallel algorithms, embedded finite-element methods, and multi-physics simulations. Current efforts emphasize real-time geothermal reservoir modeling using Multilevel Monte Carlo methods and benchmarking fracture flow simulations.

Donald Glowinskiمشاهده پروفایل

مدرس ارشد

• Music and Emotions
• Group Creativity
• Neuropsychology
• +۶ مورد دیگر

Donald Glowinski is a Senior Lecturer and Senior Researcher at the Swiss Center for Affective Sciences (University of Geneva), where he coordinates the Music & Science team and leads a consortium investigating the cognitive and emotional impact of DEMOS orchestras on children. His work bridges neuropsychology, music performance, and applied research to enhance team coordination and resilience in professional settings. He holds an MSc in Cognitive Science (EHESS), Music and Acoustics (CNSMDP), and Philosophy (Sorbonne-Paris IV), with a PhD in Computing Engineering from the University of Genoa. His research focuses on music’s role in emotions, group creativity, and translational science, including developing immersive virtual environments and curricula for interdisciplinary training. He is also involved in public engagement through initiatives like culturehack.art and collaborations with festivals such as Montreux Jazz and NIFFF. Key research interests include the interplay between music, emotion, and social dynamics. He explores how music ensemble performances can model adaptive teamwork, leveraging technologies like virtual reality to simulate real-world scenarios. His projects emphasize practical applications, such as improving safety training for workers and fostering resilience in high-pressure environments. Awards include the Prix pour la Vocation (Bleustein-Blanchet Foundation) and the Declic Award (Fondation de France). He actively contributes to scientific dissemination through public talks and cultural partnerships, advocating for science that directly informs tangible, accessible tools for diverse communities. His advisory roles include coordinating the Music & Science team and leading the DEMOS consortium with the Philharmonie de Paris. He also spearheads a new psychology curriculum using high-fidelity simulations, reflecting his commitment to bridging academic and applied domains.

Andrea Rosàمشاهده پروفایل

پژوهشگر

• Dynamic Program Analysis
• Managed Languages and Runtimes
• Dynamic Compilers
• +۷ مورد دیگر

Andrea Rosà is a Researcher and Lecturer at the Faculty of Informatics of Università della Svizzera italiana (USI) in Lugano, Switzerland. He is a member of the Dynamic Analysis Group (DAG), where he conducts research on managed language runtimes, dynamic program analysis, and performance optimization of parallel systems. Andrea earned his PhD in Informatics from USI in 2018 under the supervision of Prof. Walter Binder. Prior to that, he completed both his MSc and BSc in Computer Science Engineering at Politecnico di Milano. His research centers on dynamic program analysis, managed language runtimes (especially the Java Virtual Machine), dynamic compilers, benchmarking, concurrency and parallelism, and big-data analytics. He has developed tools such as AkkaProf for profiling actor-based applications and contributed to the Renaissance benchmarking suite. His recent work investigates task granularity, Java streams, vectorization, and compiler-level profiling. His most recent publications (2023–2025) explore JVM performance, Java Vector API, native-image startup, and adaptive threading, published in leading venues such as TOPLAS, PLDI, CGO, and OOPSLA. The articles collectively reflect a strong focus on empirical systems research, performance engineering, and tool development for modern JVM-based applications. Andrea collaborates extensively with researchers including Matteo Basso, Walter Binder, Eduardo Rosales, and Lydia Y. Chen. He has co-authored over 50 publications and contributed to multiple open-source projects and benchmarking frameworks. He advises no known students but actively contributes to academic service, including organizing and editing workshop proceedings. He is based at the East Campus, Sector D, Office D5.10, Via la Santa 1, Lugano-Viganello, Switzerland.

Michał Jakub Lipkaمشاهده پروفایل

پژوهشگر

• Quantum Optics
• Quantum Memories
• Atomic Physics
• +۳ مورد دیگر

Dr. Michał Jakub Lipka is a PostDoc researcher in the Quantum Optics Lab led by Prof. Philipp Treutlein at the University of Basel. He holds a PhD from the University of Warsaw (2024), where he conducted research under Prof. Michał Parniak. His academic journey includes a Master's (2020) and Bachelor's (2018) in Physics from the University of Warsaw, and a visiting PhD stint at ICFO, Spain (2022) in Prof. Morgan Mitchell's group. His research focuses on quantum optics , quantum memories , and ultrafast photonics . Key areas include entanglement distribution, quantum sensing, and advanced imaging techniques using atomic systems. Lipka's work bridges experimental quantum optics with applications in quantum communication and sensing, leveraging atomic vapors and Bose-Einstein condensates for novel technologies. Notable contributions include super-resolution of ultrafast pulses and hybrid magnetometry systems . He has published extensively in top journals like Physical Review Letters , Optica , and Communications Physics . His research aligns with the lab's broader goals of exploring quantum systems for technological advancements.

Thomas Maillartمشاهده پروفایل

مدرس ارشد

• Collective Intelligence
• Complex Socio-Economic Systems
• Human Dynamics
• +۱۲ مورد دیگر

Thomas Maillart is a Senior Lecturer and researcher at the Research Institute for Statistics and Information Science at the University of Geneva. His work bridges complex systems, collective intelligence, and cybersecurity, with a focus on modeling human dynamics and digital risks. Education: PhD in Science, ETH Zurich (2011) Master’s degree, EPFL (2005) His research centers on understanding how incentives, structures, and social interactions shape collective behavior in online and physical environments. He investigates topics such as cyber risks, privacy, resilience, and technological innovation. His work often applies statistical physics and data science to socio-technical systems, including open-source software development, cybersecurity policy, and human behavior modeling. His recent publications reflect a strong trend toward interdisciplinary research, combining insights from computer science, economics, psychology, and public policy. He explores how machine learning can forecast digitization labor needs, how collective action enhances cybersecurity, and how bio-sensors can aid in medical diagnosis. His work frequently appears in high-impact journals such as Science , PLOS ONE , and Physical Review . Scientific Awards: Zurich Dissertation Prize (2012) for pioneering work on cyber risks Thomas Maillart has advised and collaborated with numerous researchers and students, though specific names are not listed in the provided text. He has been involved in significant research grants and initiatives, including cybersecurity consulting for governmental and private organizations and co-founding a cybersecurity startup in 2005. His academic service includes organizing and presenting at international conferences such as WEIS and ACM conferences. He is associated with several research platforms, including ResearchGate, Google Scholar, LinkedIn, and Twitter, and has contributed to both peer-reviewed and practitioner-oriented publications. His recent editorial work includes co-editing a book on critical information infrastructure security.