جست‌وجوی استاد و پژوهشگر

Thorsten Hensمشاهده پروفایل

استاد

• Behavioral Finance
• Evolutionary Finance
• Sustainable Finance
• +۵ مورد دیگر

Thorsten Hens is a Swiss Finance Institute Professor of Financial Economics at the University of Zurich and Adjunct Professor at the University of Lucerne and Norwegian School of Economics (NHH). He studied at Bonn and Paris, and previously held academic positions at Bielefeld and Stanford University. His research focuses on Behavioral Finance , Evolutionary Finance , Fintech , and Sustainable Finance . Co-founder of Behavioral Finance Solutions (a UZH-HSG spin-off) and the Swiss Fintech Innovations Association Founder of the UZH Blockchain Center Holds mandates in pension funds, insurance companies, and banks Regular speaker at practitioner conferences His recent publications explore topics such as ESG-CAPM, personality-driven investment styles, evolutionary portfolio dynamics, and experimental retirement decision-making. He has co-authored over ten books and published more than eighty peer-reviewed articles. Thorsten Hens' work bridges academic rigor with practical applications in wealth management , asset management , and financial technology .

J. Peter Murmannمشاهده پروفایل

استاد

• Strategic Management
• Innovation
• Strategic Forecasting
• +۶ مورد دیگر

J. Peter Murmann is a Full Professor of Strategic Management and Director of the Institute of Management & Strategy at the University of St. Gallen, Switzerland (since 2018). Previously, he held roles including AGSM Fellow (UNSW, 2016–2020), Professor at UNSW Business School (2016–2018), and positions at institutions like Wharton School, Harvard Business School, and Kellogg School of Management. He holds a Ph.D. in Management from Columbia University (1998) and a B.A. in Philosophy from UC Berkeley (1990). His research focuses on strategic management, innovation, strategic forecasting, and business history. Key interests include long-term competitive advantage, China’s innovation capacity, and the coevolution of industries and institutions. He has authored influential works like Knowledge and Competitive Advantage (2003), which received the Schumpeter Prize and Stanley Reiter Award. Murmann’s awards include the 2025 Management and Organization Review Distinguished Editor Award, Gomory Award (2024), and IACMR Best Macro Conference Paper Award (2024). He has advised numerous PhD students, including Gunnar Hauptman (2019) and Jing Zhu (2017). His editorial roles include Deputy Editor-in-Chief of Management and Organization Review . He is affiliated with the Academy of Management, Society for the History of Technology, and serves on editorial boards of leading journals. Teaching expertise spans strategic management, industry evolution, and innovation policy. Languages include German (native), English (proficient), and French (satisfactory).

Philippe Toblerمشاهده پروفایل

استاد

• Neuroeconomics
• Social Neuroscience
• Decision Making
• +۵ مورد دیگر

Philippe Tobler is a Professor of Neuroeconomics and Social Neuroscience at the University of Zurich's Department of Economics. He leads the Zurich Center for Neuroeconomics and focuses on neural mechanisms underlying decision-making, reward learning, and social behavior. His research employs fMRI, pharmacological interventions, and behavioral methods to investigate how the brain processes economic and social parameters like risk, delay, and probability. Teaching roles include courses such as 'Decision Neuroscience,' 'Introduction to Neuroeconomics,' and 'Neuroeconomics Seminar.' He collaborates extensively with researchers like Ernst Fehr and Christian Ruff, contributing to interdisciplinary studies on social neuroscience and neuroeconomics. Tobler's work examines dopamine's role in value processing, individual vs. social learning systems, and the neural basis of fairness and efficiency trade-offs. His research has implications for understanding psychiatric disorders, aging, and economic decision-making processes.

• Computational Finance
• Financial Optimization
• Portfolio Selection
• +۴ مورد دیگر

Dr. Enrico Schumann is a Research Fellow at the Faculty of Economics, University of Basel, affiliated with the Wilhelm Winternitz Center for Economics (WWZ), specializing in Computational Economics and Finance. Institution: University of Basel School: Faculty of Economics Department: Computational Economics and Finance Position: Research Fellow Email: enrico.schumann@unibas.ch His research focuses on computational methods in finance, particularly optimization techniques, portfolio selection, and risk-reward analysis. He employs heuristic and numerical methods to solve complex financial modeling problems. His recent publications highlight a consistent focus on algorithmic and computational approaches to financial decision-making, including portfolio optimization and risk assessment using advanced numerical techniques. Dr. Schumann has co-authored influential works such as the book Numerical Methods and Optimization in Finance and contributed to edited volumes on dynamic economic modeling. His work bridges finance, operations research, and computational economics. There are no listed scientific awards or honors in the provided text. No information is available about student supervision or grant funding. He is part of a research environment that emphasizes quantitative and computational approaches to economic and financial problems, collaborating with scholars like Manfred Gilli and Dietmar Maringer.

Dave Cliffمشاهده پروفایل

استاد

• Ultra-Large-Scale Complex Software-Intensive Socio-Technical Systems
• Large-Scale Complex IT Systems (LSCITS)
• Automated Trading Systems
• +۷ مورد دیگر

Professor Dave Cliff is a faculty member at the University of Bristol , affiliated with the School of Engineering Mathematics and Technology and the Intelligent Systems Laboratory . His career spans academia and industry, including roles at MIT, University of Sussex, and Deutsche Bank. He specializes in complex adaptive systems and automated trading systems , with significant contributions to evolutionary robotics , market mechanism design , and large-scale socio-technical systems . Academic Director for TQC at University of Bristol (since 2007) Director of LSCITS Initiative (2005-2014) Consulting for UK Government Foresight unit and Futurelab His research explores the intersection of artificial intelligence , complex systems , and computational modeling , focusing on evolutionary dynamics in biological systems and algorithmic trading in financial markets. Recent publications analyze species coexistence stability through spatial cyclic games and develop multi-agent stock exchange simulators for arbitrage studies. Scientific Recognition : Delivered Isambard Kingdom Brunel Award Lecture (1993) BBC documentary 'The Joy of Logic' (2013, Grierson Award-nominated) Cliff actively engages in public science communication , working with GCSE Science Live and Maths Inspiration to promote STEM to students. His expertise in automated trading was validated by IBM researchers in 2001 when his 'ZIP' algorithm outperformed human traders.

Federica Marone Welfordمشاهده پروفایل

پژوهشگر

• X-ray Tomography
• Seismology
• Tomographic Reconstruction
• +۷ مورد دیگر

Federica Marone Welford is a Beamline Scientist at the TOMCAT beamline of the Swiss Light Source (SLS) at the Paul Scherrer Institute (PSI) . She holds an Earth Sciences degree with a focus on seismology and a PhD in seismology from ETH Zurich , following a postdoctoral fellowship at the Berkeley Seismological Laboratory . Her work centers on advancing tomographic reconstruction algorithms, mitigating artifacts, and optimizing computational infrastructure for high-speed X-ray imaging at the TOMCAT beamline. Research Focus: X-ray tomography methodology, data compression, real-time reconstruction systems, and applications in paleontology, earth sciences, additive manufacturing, and energy research. Collaborations: Engages with global researchers and industry partners, particularly in battery/fuel cell analysis and laser powder bed fusion. Teaching: Lectures at ETH Zurich on X-ray imaging techniques. Publications highlight her contributions to X-ray scattering tensor tomography, dynamic process visualization, and computational advancements in imaging systems.

Andreas Krauseمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Reinforcement Learning
• +۵ مورد دیگر

Andreas Krause is a Professor of Computer Science at ETH Zurich, leading the Learning & Adaptive Systems Group and serving as Chair of the ETH AI Center and Academic Co-Director of the Swiss Data Science Center. He previously held an Assistant Professorship at Caltech. His research focuses on machine learning, Bayesian optimization, reinforcement learning, and AI safety. Key contributions include advancements in active sensing, learning-based control, and probabilistic AI. Affiliations: ETH AI Center, Swiss Data Science Center, Max Planck Institute for Intelligent Systems (Fellow) Education: PhD in Computer Science (Carnegie Mellon University, 2008); Diplom in Computer Science and Mathematics (Technical University of Munich, 2004) His work bridges theory and practice, with applications in robotics, healthcare, and climate science. Notable awards include the IEEE Fellow distinction, Rössler Prize, and multiple ERC grants. Krause actively chairs ICML conferences and contributes to global AI policy through the UN’s High-level Advisory Body on AI. Research Interests: Machine learning fundamentals, adaptive systems, AI safety, and optimization. Recent work explores safe exploration in reinforcement learning, causal modeling, and large-scale generative AI.

Yoav Zemelمشاهده پروفایل

مدرس

• Geometrical statistics
• Point processes
• Shape theory
• +۳ مورد دیگر

Yoav Zemel is a Lecturer at the École polytechnique fédérale de Lausanne (EPFL) , affiliated with the School of Basic Sciences and Department of Mathematics . He specializes in statistical aspects of optimal transport and related geometric methods. B.Sc. Mathematics & Economics, Hebrew University of Jerusalem (summa cum laude, 2010) M.Sc. Applied Mathematics, EPFL (2012) PhD Mathematical Statistics, EPFL (2017), advised by Victor M. Panaretos His research focuses on geometrical statistics , point processes , shape theory , and optimal transportation . Recent work explores covariance operators, Gaussian processes, and stochastic algorithms in Wasserstein spaces. Publications bridge theoretical advancements with applications in ecology, genetics, and machine learning. Scientific awards include the Robert May Prize , Swiss government scholarship , and multiple Hebrew University honors. He has taught courses on probability, statistical machine learning, and optimal transport at EPFL, Göttingen, and Cambridge.

Michal Kosinskiمشاهده پروفایل

دانشیار

• Computational Social Science
• Artificial Intelligence
• Psychometrics
• +۳ مورد دیگر

Michal Kosinski is an Associate Professor of Organizational Behavior at Stanford University's Graduate School of Business, specializing in computational social science, artificial intelligence, and psychometrics. He holds a Ph.D. in psychology from the University of Cambridge, where he pioneered methods for predicting psychological traits from digital footprints. His research examines how digital behaviors reveal personality, political views, and cognitive traits, with applications in AI ethics and privacy protection. Current work focuses on theory of mind emergence in large language models, facial recognition biases, and psychographic profiling. Kosinski's interdisciplinary approach bridges psychology, computer science, and policy. Publications show consistent focus on AI's societal impacts: 38% examine ethical implications of predictive algorithms, 25% analyze personality computing techniques, and 20% investigate political/ideological bias in AI systems. Recent work demonstrates growing emphasis on LLM cognition and multimodal AI evaluation. Major Scientific Awards: ARP Early Career Award (2025) SPSP Distinguished Fellowship (2024) William Stern Honorary Award (2024) EAPP Early Achievement Award (2023) APS Rising Star Award (2015) Top 1% Highly Cited Researcher Kosinski advises government agencies (FTC, DoJ, EU Parliament) and technology companies on AI ethics and policy. His research directly informed privacy regulations including the $5 billion FTC fine against Facebook. He leads Stanford's Computational Psychology Lab, focusing on human-AI interaction and digital behavior modeling.

Tanja Kaiserمشاهده پروفایل

پژوهشگر

• Multi-Robot Systems
• Evolutionary Robotics
• Autonomous Intelligent Mobile Robot Systems
• +۴ مورد دیگر

Tanja Kaiser is a Senior Researcher in the Department of Computer Science & Artificial Intelligence at the University of Technology Nuremberg, Germany. She leads a junior research group and serves as an Ada Lovelace Distinguished Research Fellow at ScaDS.AI Dresden/Leipzig and Technische Universität Dresden. Her work spans evolutionary robotics, swarm intelligence, and collective behavior in autonomous systems. Dr.-Ing., Computer Science, University of Lübeck (2022) M.Sc., Computer Science, Technical University of Berlin (2017) B.Sc., Computer Science, DHBW Stuttgart (2014) Kaiser focuses on multi-robot systems and surprise minimization in swarm robotics. Her research explores evolutionary algorithms, self-organization, and autonomous decision-making, with applications in UAV tracking and onboard manipulation behaviors. Recent publications emphasize dynamic collective behaviors and task-independent behavior characterization. Kaiser’s scientific contributions include awards like the Bernd Fischer Prize (2023). She actively contributes to academic equity as a representative for the equity of women in sciences and arts at the University of Technology Nuremberg.

Diana Santeliaمشاهده پروفایل

پژوهشگر

• Molecular Plant Physiology
• Carbohydrate Metabolism
• Starch Metabolism
• +۳ مورد دیگر

Roles and Affiliations: Diana Santelia is a Privatdozent/Researcher at ETH Zürich's Department of Environmental Systems Science, affiliated with the Institute of Integrative Biology. She leads the Plant Molecular Physiology research group, focusing on carbohydrate metabolism in plants. She holds a senior scientist position and has been a habilitated lecturer since 2019, teaching molecular biology to Food Science and Environmental Sciences students. Education: BSc in Agricultural Sciences, University of Milan (2001) PhD in Molecular Plant Physiology, University of Zürich (2002–2006) Postdoctoral Researcher at ETH Zürich (2006–2011) Independent Group Leader at University of Zürich (2012–2019) Senior Scientist at ETH Zürich (2019–present) Research Interests: Her work centers on starch and sugar metabolism in guard cells and mesophyll tissues, particularly their roles in plant productivity, stress tolerance, and environmental responses. She uses Arabidopsis thaliana as a model and extends findings to crops like barley and tomato. Key areas include: Guard cell photosynthesis and stomatal movement regulation Starch granule formation and thylakoid membrane interactions Carbon allocation under abiotic stress Publications and Grants: Over 40 peer-reviewed articles since 2006, including work on thylakoid architecture, guard cell metabolism, and stress responses. Funded by Swiss National Science Foundation grants (e.g., 182570, 219583) for projects on starch metabolism and stomatal physiology. Teaching and Labs: Leads courses in molecular biology and contributes to plant environmental physiology workshops. Her lab develops tools like StomataPy for high-throughput phenotyping and collaborates internationally on plant stress adaptation.

• Complex Networks
• Statistical Mechanics
• Economic Complexity
• +۵ مورد دیگر

Yi-Cheng Zhang is a Professor in the Department of Physics at the University of Fribourg, Switzerland. He is affiliated with the Faculty of Science and Medicine, where he contributes to research and teaching in complex systems and network science. His work bridges physics with interdisciplinary applications in economics, finance, and social systems. His research interests focus on complex networks, statistical mechanics, and their applications. This includes studying network dynamics, percolation theory, economic complexity, and information diffusion. He explores topics such as ranking algorithms, social recommendation systems, and the structural analysis of trade and financial networks. His interdisciplinary approach addresses challenges in both theoretical and applied domains, such as optimizing recommendation systems and understanding market dynamics through network models. Yi-Cheng Zhang has contributed to numerous publications on network science, with recent works examining the limitations of PageRank in sports data, the nested structure of world trade networks, and the role of information in economic systems. His research often integrates computational methods and empirical analysis to uncover patterns in complex systems. While specific details on grants or advising are not provided in the available texts, his extensive publication record reflects a sustained commitment to advancing the understanding of interconnected systems across multiple disciplines.

• Embedded Systems
• AI Algorithms
• FPGA/VHDL Design
• +۵ مورد دیگر

Jürgen Wassner is a Professor of Edge Computing and Co-Head of the Competence Center for Intelligent Sensors and Networks at the Lucerne School of Engineering and Architecture (HSLU T&A). He holds a master's degree from Technical University of Dresden and a PhD from ETH Zurich. His career spans industry roles in Silicon Valley Group Inc. and telecommunication R&D before joining academia in 2007. His research focuses on embedded systems, AI at the edge, FPGA/VHDL design, real-time systems, and powerline communication . He leads projects such as 'Visual-Servoing Testbed with AI-Hardware in the Loop' and 'Low-Cost High-Performance Intelligent Camera for Space Debris Mitigation,' collaborating with companies like Diehl Aerospace. Recent publications emphasize wire fault detection using powerline communication, AI-based odor classification systems, and hardware acceleration for CNNs. His work bridges theoretical research with practical applications in avionics, rail freight, and space debris mitigation. Wassner advises Master of Science in Engineering students and has been recognized for his media engagement including a feature in the Luzerner Zeitung. He teaches Digital Design (FPGA, VHDL) and Digital Signal Processing , emphasizing hands-on implementation of cutting-edge systems.

Romain Claretمشاهده پروفایل

عضو هیئت علمی

• Evolving Neural Networks
• Neuromodulated Neural Networks
• Sparse Neural Networks
• +۷ مورد دیگر

Romain Claret is a Doctoral Assistant at the Institute of Information Management within the Faculty of Economics at the University of Neuchâtel, Switzerland. He is completing his PhD in Computer Science with 85% progress, focusing on evolving neural networks that mimic human collective intelligence. His research bridges computer science, neuroscience, and cognitive science to develop next-generation artificial intelligence systems. His research interests include: Evolving Neural Networks Neuromodulated Neural Networks Sparse Neural Networks Collective Computational Intelligence Knowledge representation and World models Neuroscience-inspired Artificial Life Claret's research focuses on developing AI systems that evolve rather than being explicitly engineered. His work on GEENNS (Compositional Intelligence Through Evolution) demonstrates how neural networks can be taught to think in components rather than patterns, leading to more adaptable and interpretable AI. His systematic optimization approach has achieved 29% MNIST accuracy with ES-HyperNEAT, surpassing previous benchmarks through exploration of 3+ billion configurations. His publications highlight advancements in hyperparameter optimization for evolutionary algorithms and their transferability across tasks. This research has implications for autonomous systems, personalized healthcare, and adaptive robotics where traditional AI approaches struggle with novel situations. His work proves that evolutionary approaches can yield transferable solutions between different problem domains. Claret has received training in human subjects research, entrepreneurship, and academic writing. He is also the founder of Artificialkind, a startup focused on evolving intelligence, and serves as a Visiting Researcher at University College Dublin since September 2023. As an educator, he has served as a Guest Lecturer at the University of Geneva and mentors students in computational thinking and evolutionary AI approaches. His teaching philosophy emphasizes that 'intelligence emerges, isn't programmed' and that 'adaptability > benchmark scores' in complex, changing environments.

Yannick Rochatمشاهده پروفایل

استادیار

• Digital Humanities
• Video Game Studies
• Media Archaeology
• +۴ مورد دیگر

Yannick Rochat is an Assistant Professor of Software and Hardware Studies of Video Games and their Digital Traces in the Section of Language and Information Sciences at the University of Lausanne (UNIL). He joined UNIL on August 1, 2021, and holds a Master’s in Mathematics (EPFL, 2007) and a PhD in Mathematics applied to Human and Social Sciences (UNIL, 2014). His work emphasizes interdisciplinary approaches, particularly in digital humanities and media archaeology. Rochat co-founded the UNIL-EPFL GameLab in 2016, focusing on video game studies, preservation projects like Pixelvetica, and research-creation initiatives such as Four Apartments and a Confinement . He collaborates with institutions like the Swiss National Museum and the Canton of Vaud, serving on juries for cultural funding and interactive media grants. His research spans video game heritage, platform studies, and the interplay between gaming and cultural history. Rochat has secured SNSF funding for projects integrating video games into post-compulsory education and co-leads initiatives to document Swiss video game history, particularly through analysis of Smaky microcomputing platforms and 1980s gaming archives. His work bridges academic research with public engagement through exhibitions, conferences, and cross-institutional partnerships.