جستجوی استاد راهنمای دانشگاهی

Peter Rupprechtمشاهده پروفایل

دانشگاهی

• Neuronal Plasticity
• Calcium Imaging
• Deep Learning
• +۳ مورد دیگر

Peter Rupprecht, PhD, leads a research group at the University of Zurich under the SNF Ambizione fellowship. His work bridges physics, biology, and computational neuroscience, focusing on neuronal plasticity and astrocyte signaling in mice and zebrafish models. University of Zurich (2019-present, postdoc and group leader) University of Basel (PhD, 2014-2019) ENS Lyon (2013, research collaboration) University of Bayreuth (Diploma, 2009-2013) Research interests center on behavioral timescale synaptic plasticity , closed-loop neuroscience , and self-organization of neural networks . Key methods include two-photon calcium imaging , optogenetics , and deep learning for spike inference . His group develops tools for 3D cell detection and gradient-based refinement in large brain samples. Recent publications highlight innovations in GCaMP8-based spike inference , hypothalamus-habenula circuits , and computational modeling of neuronal assemblies . Collaborative work spans optogenetic stimulation, synaptic event analysis, and behavioral paradigms in head-fixed mice. SNF Ambizione fellowship (2023) Prominent publications in Nature Neuroscience , Cell Reports , and eLife PhD student Shinjini Ghosh is currently part of his team, working on astrocytic calcium imaging data analysis and algorithm development. The group emphasizes Python/Matlab proficiency and spends significant time on data analysis rather than large-scale experiments.

Ruxandra Bachmann-Gagescuمشاهده پروفایل

دانشیار

• Developmental Genetics
• Ciliopathies
• Medical Genetics
• +۸ مورد دیگر

Prof. Dr. med. Ruxandra Bachmann-Gagescu is an Associate Professor in Developmental Genetics at the University of Zurich , leading a research group within the Department of Molecular Life Sciences and the URPP Adaptive Neural Circuits (AdaBD) . Her work bridges human genetics , zebrafish models , and iPSC-based cellular systems to unravel the molecular basis of monogenic developmental diseases affecting the brain, kidney, and retina . Current focus: Ciliopathies (e.g., Joubert Syndrome) and their multisystem manifestations Clinical practice: Genetic diagnosis/counseling for inherited retinal/renal diseases Research Highlights: Her group investigates primary cilia —cellular antennae regulating signaling and homeostasis—through: Zebrafish mutants modeling CNS and retinal defects iPSC-derived 2D/3D models to study neuronal/kidney pathomechanisms Proteomic approaches to define cell-type-specific ciliary composition The lab contributes to large-scale initiatives like the European PREDICT Consortium (genetic modifiers in ciliopathies) and PRAECLARE (variant interpretation assays). Scientific Awards: SNSF Ambizione Fellowship (2012): Established her research niche in ciliopathies SNSF Professorship Grant (2017): Enabled independent lab leadership Advising & Collaborations: Mentors PhD and Master’s students in cilia biology and translational genetics. Collaborates with international experts in retinal disease (Sophie Saunier, Paris), kidney disorders (Carsten Wagner, Zurich), and bioinformatics (Pedro Beltrao, ETH Zurich). Labs & Teams: Based at the University of Zurich Irchel Campus (Y13-K-48/Y13-K-03), her team includes postdocs (Markus Masek), PhD students (Ellen Aarts, Arianna Cuoco), and lab manager Claudia Hofmann . Projects span zebrafish genetics , human iPSC differentiation , and clinical-genetic correlations .

Christian von Meringمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Microbial Ecology
• +۵ مورد دیگر

Prof. Dr. Christian von Mering is a Professor in the Department of Molecular Life Sciences at the University of Zurich, where he leads an active research group focusing on bioinformatics, systems biology, and microbial ecology. His laboratory maintains strong collaborations across multiple institutions and has established several widely used bioinformatics resources including the STRING database, eggNOG, and PaxDb. His research spans computational biology with a particular emphasis on protein-protein interaction networks, microbial community analysis, and genomic data integration. The von Mering group employs advanced computational methods to analyze large-scale biological datasets, with significant contributions to understanding microbial ecosystems, protein networks, and genomic evolution. Their work bridges theoretical computational approaches with experimental validation. The research output from von Mering's laboratory demonstrates consistent productivity across multiple domains, with recent publications showing particular strength in microbial ecology, protein interaction networks, and genomic resource development. The group's work on the STRING database represents one of their most significant and widely adopted contributions to the field of systems biology. As a research leader, von Mering supervises multiple postdoctoral fellows, PhD students, and research associates. His group includes senior researchers like Dr. Damian Szklarczyk and Dr. Janko Tackmann, along with several postdoctoral fellows and PhD candidates working on diverse projects within the lab's research scope.

Jean-Louis Reymondمشاهده پروفایل

استاد

• Chemical Space
• Cheminformatics
• Peptide Chemistry
• +۵ مورد دیگر

Professor Jean-Louis Reymond is a distinguished academic at the University of Bern, currently serving as Dean of the Faculty of Science since 2024. He leads the Reymond Research Group within the Department of Chemistry, Biochemistry and Pharmaceutical Sciences. Previously, he served as Director of the Department of Chemistry and Biochemistry from 2015-2017. His educational background includes diploma studies in Chemistry and Biochemistry at ETH Zürich (1981-1985), a Ph.D. in Natural Products Synthesis at the University of Lausanne (1986-1989), and post-doctoral research on Catalytic Antibodies at Scripps Research Institute (1990-1991). He joined the University of Bern as a Professor in 1997 after serving as Assistant Professor at Scripps Research Institute (1992-1997). Reymond's research centers on The Chemical Space Project, which explores the vast universe of possible chemical compounds with potential medical applications. His work spans three interconnected areas: Peptide Chemistry (design of bioactive peptides including dendrimers and polycyclic structures), Cheminformatics (development of the GDB chemical universe database), and Medicinal Chemistry (computer-aided design of small molecule modulators). His research has significant implications for addressing antimicrobial resistance through novel peptide-based therapeutics. Analysis of his recent publications reveals a strong focus on navigating and exploiting chemical space for drug discovery, particularly in antimicrobial applications. His work combines computational methods with synthetic chemistry to identify novel scaffolds and optimize bioactive compounds. The 2024-2025 publications demonstrate continued innovation in peptide design, chemical space visualization, and applications in drug delivery systems. ERC Advanced Grant (2020) for project SPACE4AMPS (€2.5 million over 5 years) Professor Reymond actively mentors numerous graduate students and leads a vibrant research group that collaborates across disciplines. His research is supported by significant grants including the ERC Advanced Grant and participation in the NCCR TransCure initiative. The Reymond Research Group maintains strong connections with other research units at the University of Bern and international collaborators. The research group operates state-of-the-art facilities for peptide synthesis, cheminformatics analysis, and biological testing. They have developed specialized tools including the GDB chemical space database (www.gdb.unibe.ch) and collaborate with the NCCR TransCure consortium on transporter and ion channel research. Their work on antimicrobial peptides positions them at the forefront of addressing the global antimicrobial resistance crisis.

Rui Yaoمشاهده پروفایل

مدرس

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

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.

Volodymyr Savchenkoمشاهده پروفایل

پژوهشگر

• Astrophysics
• Astroparticle Physics
• Data Science
• +۷ مورد دیگر

Volodymyr Savchenko is a Researcher at the Department of Astronomy (University of Geneva) and a Lecturer at EPFL (School of Human Sciences, SPH-ENS). He works at the Laboratory of Astrophysics (EPFL) and supports the INTEGRAL and CTA Off-Site Data Centers . His research combines machine intelligence with human capacities in science, focusing on astrophysics , astroparticle physics , and multi-messenger astronomy . Universities : University of Geneva, EPFL Departments : Department of Astronomy (University of Geneva), Laboratory of Astrophysics (EPFL) His research spans gamma-ray observatories , gravitational wave detection , and scientific software development . While the ADS query did not return his publications, his work is linked to the INTEGRAL space mission and the CTA project . Contact: volodymyr.savchenko@epfl.ch , savchenk@unige.ch

• Financial Engineering
• Financial Big Data

Damien Challet serves as a Lecturer at the Swiss Federal Institute of Technology Lausanne (EPFL) with an Invited guest appointment, teaching within the institutional structure EPFL > CDM > CDM-IF > IF-ENS. His primary teaching responsibilities include Financial Engineering and Financial Big Data courses. His research focuses on Financial Engineering and Financial Big Data, emphasizing quantitative analysis of financial markets through large-scale data processing and algorithmic modeling. Key subfields include risk management, algorithmic trading systems, high-frequency data analytics, computational finance, market microstructure analysis, and machine learning applications in asset pricing.

• Systems Neuroscience
• Motor Learning and Control
• Animal Behavior
• +۷ 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.

Michael Feluxمشاهده پروفایل

استاد

• Aviation Communication, Navigation and Surveillance (CNS)
• Global Navigation Satellite Systems (GNSS)
• Ground-Based Augmentation System (GBAS)
• +۵ مورد دیگر

Prof. Dr. Michael Felux is full Professor and team leader of the Aviation Infrastructure group at the ZHAW School of Engineering , Zurich University of Applied Sciences. He also co-founded and co-owns the Estonian consultancy Navaid OÜ , providing GNSS/CNS expertise while ensuring non-conflict with his academic role. Education Dr.-Ing. in Mechanical Engineering, TU München (2012 – 2018) Dipl.-Tech. Math. in Mathematics, TU München (2003 – 2009) CAS Hochschuldidaktik (Higher-Education Didactics), PHZH (2021) Research Focus Michael Felux’s research centres on safe, secure and efficient aviation communication, navigation and surveillance (CNS) . He investigates GNSS-based augmentation systems (GBAS, SBAS) for precision approach and landing, develops real-time interference detection & localization techniques to counteract jamming and spoofing, and explores high-integrity navigation solutions for unmanned aerial vehicles (UAVs). Additional interests include environmental optimisation of flight procedures and multi-constellation, multi-frequency signal processing . Across more than 50 peer-reviewed publications since 2015, his work consistently targets the intersection of technical robustness and operational feasibility . Recent papers map GNSS disruption events across European airspace, quantify fuel-burn reductions enabled by GBAS-guided continuous-descent approaches, and introduce cost-efficient machine-learning frameworks for real-time localisation of malicious radio-frequency interference. Scientific Awards & Recognition (no specific awards listed in supplied material) Research Funding & Projects Spoofer Localization – Swiss project leader, ongoing EGNSS DFMC for GBAS based operations – EU project leader, ongoing Making I-CNS A Reality – integrated CNS technology, project leader, ongoing High Integrity Satellite Navigation for UAV using Galileo HAS – project leader, ongoing LINA – Shared large-scale infrastructure for safe testing of autonomous systems, team member, ongoing Collision avoidance system for manned & unmanned aircraft via SDR – completed Emission Reduction using Satellite Navigation for Approach Guidance – completed Laboratory & Team As head of the Aviation Infrastructure team at ZHAW, Prof. Felux directs a multidisciplinary group developing next-generation CNS technologies. The team operates dedicated GNSS/GBAS testbeds, flight-trial aircraft, and spectrum-monitoring networks to validate concepts from simulation through to real-world deployment.

Michel Guillaumeمشاهده پروفایل

استاد

• Aircraft Design
• Structural Integrity
• Fatigue Analysis
• +۴ مورد دیگر

Michel Guillaume serves as Professor and Head of the Centre for Aviation at Zurich University of Applied Sciences (ZHAW) School of Engineering, concurrently leading the Centre for Aircraft System Design and Integration. His academic responsibilities include lecturing in aerodynamics, structural integrity, systems engineering, and unmanned aviation, while directing the Master's programme profile commission for MSE in Aviation and coordinating the MSE Advanced Aircraft System Design module. His research centers on sustainable aircraft development through collaborative digital engineering and establishing drone testing infrastructure (indoor/outdoor). Key interests span structural integrity, fatigue analysis, unmanned aerial systems, aerodynamics, and systems engineering, with emphasis on damage tolerance methodologies for aging aircraft and AI-driven drone technologies. Current projects include the Aviation Research Ecosystem Advanced Novel Approach and LINA (Shared Large-scale Infrastructure for Autonomous Systems). Recent publications (2023-2024) demonstrate evolving focus from traditional fatigue analysis toward AI-integrated drone systems and structural risk assessment frameworks. His work consistently bridges theoretical research with practical aviation applications, particularly evident in Swiss aeronautical fatigue reviews and drone safety validation studies. Guillaume directs multiple funded projects including the completed Engineering Documentation for Junkers Ju-52 and Safety Analysis for Structural Integrity of Ageing Airplanes. As Director of the Aviation Research Center Switzerland (ARCS), he manages contractual research efforts through ZHAW consulting projects with annual fixed budgets. He actively participates in professional networks including the International Committee on Aeronautical Fatigue (ICAF) as Swiss national delegate, American Institute of Aeronautics and Astronautics (AIAA), and Swiss Aerospace Cluster, while developing ZHAW's drone test infrastructure as critical research infrastructure for the Swiss aviation ecosystem.

Daniele Silvestroمشاهده پروفایل

پژوهشگر

• Evolutionary Biology
• Phylogenetics
• Macroevolution
• +۵ 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.

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

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.

Anastasios Kouvelasمشاهده پروفایل

مدرس

• Traffic flow theory
• System and control theory
• Optimization
• +۱۰ 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.