جستجوی استاد راهنمای دانشگاهی

Rui Yao is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Engineering (ENAC) and the Department of Civil Engineering. Additionally, he works as a Scientist in the Laboratory for Human-Oriented Mobility Eco-system (HOMES) within EPFL. His research focuses on large-scale equilibrium modeling in multi-modal transport systems, individual mobility choice modeling, and demand management strategies. Education: B.Sc. in Civil Engineering, Technion – Israel Institute of Technology Direct-track Ph.D. in Transportation Engineering, Technion – Israel Institute of Technology His research spans both theoretical and applied domains, including stochastic traffic equilibrium , multi-passenger ridesharing systems , perturbed utility models , and deep learning for choice analysis . He has contributed to advancements in data-driven route choice modeling , integrated equilibrium models for electrified logistics , and stable matching frameworks for mobility platforms . Rui Yao is affiliated with the Human-Oriented Mobility Eco-system (HOMES) lab at EPFL, which focuses on innovative transportation solutions. His work bridges theoretical modeling with real-world applications in smart mobility and transportation policy.

• Large-scale equilibrium modeling in multi-modal transport systems
• Individual mobility choice modeling
• Demand management strategies
• +۳ مورد دیگر

Olivier Lévêque is a Senior Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences. He conducts research at the Laboratory of Information Theory (LTHI) and holds teaching responsibilities in both Communication Systems (SSC) and Computer Science (SIN) sections. Additionally, he contributes to the Interface EPFL-Gymnases initiative. Lévêque obtained his Physics diploma (1995) and PhD in Mathematics (2001) from EPFL, with a visiting lectureship at Stanford University's Electrical Engineering Department in 2005-2006. His research explores fundamental aspects of information theory , random matrices , and stochastic calculus , with applications in wireless communications and network theory. Key interests include capacity scaling laws in ad hoc networks, diversity-multiplexing tradeoffs, and mathematical frameworks for communication systems. Recent publications demonstrate broad interdisciplinary engagement, spanning computational thinking assessment (2022), digital education frameworks (2019), satellite positioning systems (2018), and theoretical advances in probability (2018). His work consistently integrates mathematical rigor with practical communication challenges, particularly in wireless network optimization and information-theoretic security. He has supervised four doctoral students at EPFL and teaches courses including Information, Computation, Communication , Markov Chains and Algorithmic Applications , and Cryptography . Lévêque leads research activities within the Laboratory of Information Theory, focusing on theoretical foundations of modern communication systems.

• Information Theory
• Random Matrices
• Stochastic Calculus
• +۲ مورد دیگر

Prof. Mackenzie Weygandt Mathis is Tenure-Track Assistant Professor and Bertarelli Foundation Chair of Integrative Neuroscience at EPFL’s Brain Mind Institute . Leading the Mathis Lab since 2020, she unites machine learning and systems neuroscience to decipher how brains learn and control movement. Education : PhD in Neuroscience, Harvard University (2017, advisor Naoshige Uchida) Post-doctoral training, University of Tübingen with Matthias Bethge (2017) Rowland Fellow, Harvard University (2017-2020) Research Focus : the lab develops open-source AI tools ( DeepLabCut , CEBRA , AmadeusGPT ) and combines them with large-scale neural recordings in behaving mice to uncover the neural basis of adaptive motor control. Core themes include sensorimotor learning, proprioception, and brain-inspired algorithms for robotics. Publications Trend : recent work spans robust machine-learning methods (ICLR, AISTATS 2025), foundational models for pose estimation ( SuperAnimal , 2024), and integrative studies linking neural population dynamics to muscle-level control ( Nature 2023, Cell 2024). Scientific Awards : Swiss Science Prize Latsis 2024 Robert Bing Prize 2024 Eric Kandel Young Neuroscientist Prize 2023 FENS EJN Young Investigator Prize 2022 Vallee Scholar, ELLIS Scholar, NSF Graduate Fellow Advising & Funding : she mentors 4 current PhD students and several postdocs, supported by SNSF Starting Grant (1.5 M CHF), CZI, Novartis, Radala Foundation, and Kavli Foundation grants. Labs & Teams : the Mathis Lab is located at Campus Biotech , Geneva, and actively collaborates with the Alexander Mathis group, Allen Institute, and international consortiums on open-source neuroscience tools.

• Systems Neuroscience
• Motor Learning and Control
• Animal Behavior
• +۷ مورد دیگر

Rafael Lalive is a Professor at the University of Lausanne's Faculty of Business and Economics and a core member of the LIVES Centre, a Swiss National Centre of Competence in Research. Based at the Internef Building in Lausanne, he leads interdisciplinary research on labor market dynamics and social policy evaluation. His research spans Labor Economics, Gender Economics, and Public Policy, with specialized focus on job search behavior, unemployment insurance systems, gender diversity in workplaces, and family policy impacts. He employs causal inference methods using natural experiments like the Swiss language border to isolate cultural effects on economic decisions, and analyzes policy interventions through quasi-experimental designs. Recent publications reveal strong trends in gender economics (examining vacancy preferences and workplace diversity) and family economics (assessing maternity leave mandates and fertility outcomes). His work increasingly integrates crisis response analysis, including pandemic effects on youth mental health and consumption patterns, while maintaining methodological rigor through randomized trials and large-scale data. As part of the LIVES Centre's leadership team, Professor Lalive coordinates a multidisciplinary network studying life course inequalities, collaborating with researchers across the University of Lausanne and University of Geneva to translate empirical findings into evidence-based social policies.

• Labor Economics
• Gender Economics
• Public Policy
• +۳ مورد دیگر

Leen Vandecasteele is an Associate Professor at the Life Course and Inequality Research Centre (LIVES) at the University of Lausanne. Her research focuses on social inequality, gender dynamics, family and employment structures, poverty analysis, and social policy through a life course perspective. Key Research Areas: Social inequality and cumulative disadvantage Gender and employment dynamics Poverty trajectories and welfare state policies Longitudinal quantitative analysis Cross-national comparative studies Her recent work examines unemployment insurance impacts on families, pandemic effects on social attitudes, and wellbeing measurement in Swiss panel data. She employs large-scale quantitative methods and comparative frameworks across European and global contexts. Previously, she held a Junior Professorship at the University of Tübingen and conducted research at the European University Institute, University of Manchester, and Harvard's Inequality and Social Policy Program.

• Social inequality
• Gender studies
• Family sociology
• +۶ مورد دیگر

Daniele Silvestro is a researcher at ETH Zürich's Department of Biosystems Science and Engineering, working within the Computational Evolution group based in Basel, Switzerland. His research spans evolutionary biology, computational methods, and biodiversity science, with a focus on developing and applying novel analytical approaches to understand macroevolutionary patterns. Dr. Silvestro's research interests center on evolutionary biology and computational approaches to understanding biodiversity patterns through time. His work bridges micro- and macroevolutionary scales, with particular emphasis on phylogenetic methods, speciation processes, and the integration of fossil data with molecular phylogenies. He applies machine learning and artificial intelligence techniques to analyze large-scale biodiversity datasets, addressing questions about species diversification, extinction dynamics, and ecological interactions across deep time. His recent publications demonstrate a strong trend toward computational innovation in evolutionary biology, with increasing integration of artificial intelligence methods to tackle complex questions in biodiversity science. His work spans multiple biological systems, from plant-soil interactions to mammalian evolution, reflecting an interdisciplinary approach that combines theoretical modeling with empirical data analysis. Dr. Silvestro collaborates extensively with researchers across institutions and disciplines, contributing to major initiatives such as the 2030 Declaration on Scientific Plant and Fungal Collecting. His research has significant implications for biodiversity conservation, particularly in understanding how species and ecosystems respond to environmental change. His work on computational methods, including software development like DeepDiveR, demonstrates a commitment to creating practical tools for the broader scientific community. His research group at ETH Zürich appears to focus on developing and applying cutting-edge computational approaches to evolutionary questions, emphasizing the importance of integrating multiple data sources and analytical frameworks.

• Evolutionary Biology
• Phylogenetics
• Macroevolution
• +۵ مورد دیگر

Dr. Urs Aeberhard is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zurich and a Senior R&D Scientist at Fluxim AG . He earned his Master and PhD in Theoretical Physics from ETH Zurich in 2004 and 2008 respectively, with thesis work on quantum-kinetic theory of quantum well solar cells conducted at the Condensed Matter Theory Group at Paul Scherrer Institut and ETH Zurich . He previously held a postdoctoral researcher position at the Institute of Photovoltaics , Forschungszentrum Jülich from 2009-2012 and was a visiting research scholar at the National Renewable Energy Lab in 2013 . From 2013-2018 , he worked as a tenured staff scientist at IEK-5 Photovoltaik , Forschungszentrum Jülich , where he founded and led the Multiscale Simulation research group. His research focuses on quantum transport formalisms (particularly NEGF ) for photovoltaic device simulation , including charge carrier generation , recombination in nanostructures , and advanced solar cell concepts such as hot-carrier cells , multi-junction architectures , and photon recycling . He has contributed extensively to multiscale modeling of quantum well , wire , and dot solar cells , and his work spans quantum kinetic theory , optoelectronic device simulation , and computational investigation of defect-mediated recombination and non-equilibrium processes in semiconductor nanostructures . His recent publications emphasize hot-carrier filtering in InAs-InP nanowires , terawatt-scale photovoltaic optics , reverse-bias breakdown in all-perovskite tandem modules , and photon recycling effects in ultra-thin and perovskite-based solar cells. He has presented extensively at international conferences on topics including quantum transport with light-matter interaction , multi-scale simulation of non-idealities in tandem photovoltaics , and computational characterization of passivated contacts in silicon solar cells . Dr. Aeberhard is the developer of PVnegf , a tool for non-equilibrium Green's function simulation of quantum photovoltaic devices , which provides first-principles analysis of electronic structure , photocarrier transport , and optical processes in nanoscale solar cells . The framework enables microscopic simulation of quantum wells , wires , and dots for advanced photovoltaic applications .

• Quantum Transport
• Photovoltaics
• Semiconductor Nanostructures
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Matthes Fleck serves as Professor and Director of the Institute for Communication and Marketing (IKM) at Lucerne University of Applied Sciences and Arts, School of Business, leading research initiatives since 2010 with expertise spanning digital communication, social media strategy, and AI-driven marketing analytics. His leadership drives industry-relevant projects examining Switzerland's sharing economy landscape and intelligent transportation systems. Academic credentials include a Doctorate in Business Administration (Dr. oec.) from University of St. Gallen (2011) and Master of Arts in Journalism and Business Administration from Freie Universität Berlin (2006), establishing an interdisciplinary foundation for his research. This dual expertise enables rigorous analysis of corporate communication through both business strategy and media theory lenses. Research focuses on digital transformation's impact on business communication, with three interconnected pillars: social media dynamics in corporate contexts (examining CSR blogging and stakeholder engagement), sharing economy strategic frameworks (particularly through projects like Sharecity), and artificial intelligence applications for marketing analytics. Methodologically, Fleck pioneers natural language processing techniques to analyze economic news coverage, corporate culture statements, and chatbot efficacy—evidenced by his 2022 agenda-setting study of pandemic-related economic reporting and 2021 assessment of AI mental health solutions for elderly populations. Recent publication trends (2020-2022) reveal intensified focus on pandemic-era digital adaptations, with 60% of recent work applying computational linguistics to crisis communication and health tech. Cross-cutting themes include ethical considerations in AI deployment, data-driven branding for SMEs, and social media's evolving role in stakeholder capitalism—demonstrating consistent alignment between technical methodology and strategic business application. No scientific awards or major honors were documented in source materials. Research leadership manifests through continuous project funding including "Mobile als Innovator in Marketing" (2017), "B2B Social Media" (2014), and current AI/mobility initiatives, though specific grant amounts remain undisclosed. As IKM Director, Fleck manages a multidisciplinary team conducting industry-partnered research in mobile marketing analytics and social media impact measurement, positioning the institute as Switzerland's hub for applied communication science in digital business transformation.

• Social Media
• Sharing Economy
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Anastasios Kouvelas is a Lecturer at ETH Zurich, where he serves as head of the Road Traffic Engineering research group at the Institute of Transport Planning and Systems (IVT), Department of Civil, Environmental and Geomatic Engineering. He has held this position since August 2018, succeeding Dr. Monica Menendez who moved to New York University in Abu Dhabi. Prior to joining ETH Zurich, he was a research associate at the Urban Transport Systems Laboratory (LUTS) at EPFL (2014-2018) and a postdoctoral fellow at Partners for Advanced Transportation Technology (PATH) at the University of California, Berkeley (2012-2014). Dr. Kouvelas' research focuses on modeling, simulation, optimization and traffic flow control. His work aims to develop real-time solutions based on control theory and operations research methods. The Road Traffic Engineering group develops algorithmic solutions that are components of intelligent transportation systems used in traffic control centers. Recent technological advances in autonomous vehicles have expanded their research topics as the industry seeks efficient operational solutions for autonomous mobility. They are particularly interested in extending their work to the design of advanced management strategies for urban networks that utilize connected vehicles to improve traffic operations and develop network-wide control strategies that minimize environmental impacts. His recent publications (2023-2025) demonstrate strong focus on traffic prediction using deep learning techniques, bike lane allocation impacts on urban networks, transit network resilience against disruptions, vehicle trajectory extraction from aerial recordings, and traffic control for mixed traffic systems with connected and autonomous vehicles. His work bridges theoretical developments in control theory with practical traffic engineering challenges. Scientific Awards No specific scientific awards were mentioned in the provided information. Advising and Grants Dr. Kouvelas supervises PhD and Master's students in traffic engineering and intelligent transportation systems. His research is supported by various grants including a grant from the Hong Kong Research Grant Council (Grant No. GRF 11216323) for research on traffic speed prediction. Laboratories and Teams Dr. Kouvelas leads the multidisciplinary Road Traffic Engineering research group at IVT, which consists of researchers with backgrounds in civil engineering, electrical engineering, mechanical engineering, computer science, control, and operations research. The group's work spans multiple areas including traffic flow theory, traffic operations, connected and automated vehicles, and intelligent transportation systems.

• Traffic flow theory
• System and control theory
• Optimization
• +۱۰ مورد دیگر