جستجوی استاد راهنمای دانشگاهی

Pierre Vandergheynst is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the Department of Electrical Engineering, with a courtesy appointment in Computer and Communication Sciences. He serves as EPFL’s Vice-Provost for Education since 2015 and leads the Signal Processing Laboratory 2 (LTS2). His research spans harmonic analysis, sparse approximations, mathematical data processing, and applications in signal/image processing, computer vision, machine learning, and graph-based data analysis. PhD in Mathematical Physics (1998), Université catholique de Louvain Postdoctoral Researcher at EPFL (1998-2001) Assistant Professor at EPFL (2002-2007) His research explores geometry/symmetry in high-dimensional data, redundant dictionaries for dimensionality reduction, and computational harmonic analysis on manifolds. Recent work focuses on protein structure modeling, geometric deep learning, and graph-based signal processing. Key article trends include graph neural networks for protein analysis, geometric deep learning in neuroscience, and structured knowledge priors in neural models. His 2023-2025 publications emphasize interpretable AI, long-range dependencies in graphs, and molecular representation learning. Scientific Awards: IEEE Signal Processing Magazine Best Paper Award (2023) Signal Processing Society Best Paper Award (2022) Apple ARTS Award (2007) De Boelpaepe Prize, Royal Academy of Sciences of Belgium (2009-2010) He has supervised over 30 PhD theses and contributed to foundational work in graph signal processing, compressive sensing, and geometric deep learning. His lab develops tools for data science on non-Euclidean structures, with applications in medicine, astronomy, and wireless systems.

• Data Science
• Machine Learning
• Computational Harmonic Analysis
• +۶ مورد دیگر

Devis Tuia serves as Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), holding appointments in the Institute of Environmental Engineering (IIE) within the School of Architecture, Civil and Environmental Engineering (ENAC). He leads the Environmental Computational Science and Earth Observation Laboratory (ECEO) since 2020 and contributes to EPFL's Doctoral Program in Civil and Environmental Engineering. His academic journey began in Lausanne with studies at UNIL and EPFL, culminating in a PhD in remote sensing from UNIL. Postdoctoral research followed at institutions in Valencia, Boulder, and EPFL, focusing on machine learning model adaptation. He progressed from Research Assistant Professor at University of Zurich to Associate and Full Professor at Wageningen University before joining EPFL. Tuia's research bridges Earth observation with artificial intelligence, specializing in interpretable deep learning for environmental applications. His lab develops algorithms for making remote sensing accessible, with particular emphasis on digital wildlife conservation through automated censuses using drone and satellite imagery. Current projects tackle the 'black box' problem in environmental modeling while advancing spatial intelligence for sustainable urban development. His 2023-2025 publication portfolio reveals three dominant trends: (1) species distribution modeling using incomplete observations, (2) multimodal fusion of satellite/drone data with textual descriptions, and (3) interpretable AI frameworks for environmental decision-making. This work consistently addresses real-world challenges like wildfire forecasting and biodiversity monitoring. As an educator, Tuia supervises 12 current PhD students and has graduated 4 former EPFL doctoral candidates. His teaching portfolio includes Frontiers of Deep Learning for Engineers , Sensing and Spatial Modeling for Earth Observation , and Image Processing for Earth Observation courses. The ECEO laboratory maintains active collaborations with ESA-NASA initiatives and conservation organizations globally.

• Earth Observation
• Remote Sensing
• Machine Learning
• +۵ مورد دیگر

Jian Peng is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His research focuses on computational biology, machine learning, and their applications to protein structure prediction, drug design, and molecular modeling. He has contributed to advancements in antibody engineering, protein-ligand docking, and generative models for biological systems. Key research areas include: Machine Learning for Molecular Modeling Protein Structure Prediction Antibody and Peptide Design Genomics and Single-Cell Analysis Structure-Based Drug Discovery His work emphasizes integrating deep learning techniques with biological datasets to address challenges in precision medicine, drug development, and systems biology. Notable achievements include developing the FastFold system to accelerate AlphaFold training and pioneering flow-based methods for antibody design. Awards include the Overton Prize (2020), recognizing contributions to computational biology. His research has been published in top journals and conferences, spanning topics from protein mutation prediction to geodesic-based immune complex modeling.

• Machine Learning
• Bioinformatics
• Computational Biology
• +۵ مورد دیگر

Prof. Dr. Soeren Lienkamp is an Assistant Professor at the Institute of Anatomy , Faculty of Medicine , University of Zurich . His work bridges digital education and genetic research , focusing on enhancing medical teaching through innovative formats. Research Interests : Genetics, developmental biology, kidney disease modeling, CRISPR applications, digital medical education, and advanced microscopy. Methodologies : Combines Xenopus tropicalis models, deep learning , and bioengineering to study genetic kidney disorders and improve diagnostic tools. Publication Trends : His recent articles highlight predictable genome editing , 3D imaging technologies , and mechanistic insights into kidney and eye development. Earlier works focus on ciliary function , Wnt signaling , and metabolic stress in renal cells.

• Molecular Biology
• Genetics
• Developmental Biology
• +۵ مورد دیگر

Eva Cantoni is a Full Professor at the Research Center for Statistics within the Geneva School of Economics and Management , University of Geneva. Her expertise spans robust statistical methodology, model selection, and applications in ecology and medicine. Ph.D. from University of Geneva Accredited European Statistician (FENStatS) Research Interests : She specializes in Robust statistics for real-world data Variable/model selection in high-dimensional settings Nonparametric and semi-parametric regression Zero-inflated and overdispersed count models Longitudinal and spatiotemporal data analysis Her work addresses ecological challenges (fish stock assessment), medical applications (hospital congestion modeling), and housing market analysis. Recent Trends in Publications : Recent articles focus on Confidence intervals for robust mixed models Editorial leadership in robust statistics Applications to fisheries science and public health Flexible modeling frameworks for complex data Comparative studies of statistical measures Extremes modeling in healthcare Leadership & Grants : She has served as: Vice-Dean for Teaching (2020-2023) Director of Master's in Statistics (2012-2019) Director of Applied Statistics Certificate (2015-2019) President, Swiss Federal Statistics Committee (2024-2027) Specialty Chief Editor, Frontiers in Applied Mathematics (2024) Grants include projects on Robust solutions for modern data (2023-2025) Sustainable fisheries modeling (2018-2021) Advancements in state-space models (2014-2017) Software Contributions : Developed R packages for robust statistical methods: confintROB (bootstrap confidence intervals) RobSSM (robust state-space models) R2_LMM (explained variation measures)

• Robust statistics
• Variable and model selection
• Nonparametric regression
• +۶ مورد دیگر

Michael Krauthammer is a Professor of Medical Informatics and Chair of the Department of Quantitative Biomedicine at the University of Zurich, affiliated with the University Hospital of Zurich. His lab focuses on Clinical Data Science and Translational Bioinformatics, leveraging AI and machine learning to address healthcare challenges. Key areas include cancer genomics, federated learning, and automated medical imaging analysis. Education and affiliations: Krauthammer leads an interdisciplinary team supported by major funding agencies. His research spans bioinformatics, clinical decision support systems, and multimodal data integration. Notable projects include AI-assisted diagnosis in rheumatology and prime editing efficiency prediction. Recent work emphasizes longitudinal cfDNA analysis, drug interaction modeling, and personalized oncology. The lab collaborates across disciplines, with projects funded by Swiss and international grants. Students and postdocs work on topics like machine learning for radiology reports, longitudinal disease trajectories, and protein design. Key projects include the NTCIR-18 RadNLP challenge, prime editing prediction models (Nature Biotechnology 2024), and vision transformers for capillaroscopy analysis. The lab advocates for reproducible data science and ethical AI in healthcare.

• Clinical Data Science
• Translational Bioinformatics
• Machine Learning in Healthcare
• +۳ مورد دیگر

Kathryn Hess Bellwald is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) in both the School of Life Sciences and School of Basic Sciences . She leads the Laboratory for Topology and Neuroscience and serves as Academic Director for the Euler Programme . Her work bridges pure mathematics and interdisciplinary applications in neuroscience, materials science, and data analysis. Education : PhD in Mathematics (MIT, 1989), preceded by positions at Stockholm, Nice, and Toronto universities. Her research spans algebraic topology , homotopy theory , operad theory , and algebraic K-theory , with applications in neuroscience and materials science . She has pioneered topological data analysis methods for classifying neuronal morphologies , microglia phenotypes , and nanoporous materials , creating a parameter-free framework linking neural network structure to activity. The 15 most recent publications highlight her work on topological inverse problems , neuroinflammation , and equivariant homotopy . These studies often involve collaborations with the Blue Brain Project and EPFL teams in neuroscience , machine learning , and materials science . Scientific Awards : Fellow, American Mathematical Society (2017); Distinguished Speaker, European Mathematical Society (2017); Crédit Suisse Teaching Prize (2012); Polysphère d'Or (2013); Full Member, Swiss Academy of Engineering Sciences (2016); Chaire de la Vallée Poussin (2023); Fellow, Association for Women in Mathematics (2024). She has mentored numerous PhD students in mathematics and neuroscience, including Adélie Eliane Garin , Varvara Karpova , and Dimitri Zaganidis . Her EPFL Mathematics affiliations include the DIVISION MATH , while her Neuroscience lab operates under the Brain Mind Institute (BMI) in the School of Life Sciences (SV). Grants and collaborations are evident in her work on neurodegenerative diseases , synthetic materials , and machine learning frameworks .

• Algebraic Topology
• Homotopy Theory
• Neuroscience
• +۴ مورد دیگر

Oliver Ullrich is a Professor and Chair of Anatomy / Gravitational Biology and Cell Biomechanics at the University of Zurich. He also holds professorships in Space Biotechnology at Otto-von-Guericke-University Magdeburg, Space Medicine at EAH Jena, and an Adjunct Professor position at Beijing Institute of Technology. As an Academician of the International Academy of Astronautics , he leads the Swiss Parabolic Flight Program and directs the UZH Innovation Cluster “Space and Aviation” (UZH Space Hub). His research spans gravitational biology , space medicine , and cell biomechanics , focusing on cellular responses to altered gravity environments. His work explores Molecular changes in immune cells under microgravity/hypergravity Epigenetic adaptations to gravitational forces Medical challenges in space exploration Sustainable planetary resource utilization Innovations in spaceflight experiment platforms Recent publications highlight trends in space immunology , organoid analysis under gravity stress , and non-governmental parabolic flight infrastructure . Awards include the Albrecht-Ludwig-Berblinger Award of Aerospace Medicine . He serves on advisory boards for aerospace agencies and companies, and as a member of the executive board of the German Society for Aerospace Medicine : Albrecht-Ludwig-Berblinger Award of Aerospace Medicine As an active investigator in European, German, and U.S. space life sciences programs , he has led 19+ parabolic flight missions and contributed to ISS experiments.

• Space Biology
• Gravitational Biology
• Cell Biomechanics
• +۴ مورد دیگر

Robert Katzschmann is an Assistant Professor of Robotics (tenure-track) at ETH Zurich's Department of Mechanical and Process Engineering , leading the Soft Robotics Laboratory . He is also the co-founder and scientific advisor of Mimic Robotics , focused on dexterous manipulation solutions. His research spans Soft Robotics , Musculoskeletal Robotics , Biohybrid Systems , and Underwater Robotics , with breakthroughs like the autonomous soft robotic fish SoFi and biohybrid actuators. He holds a PhD from MIT (2018), a Master's from Stanford (2013), and a Diplom-Ingenieur from KIT (2013). Research Interests: His work emphasizes compliant, bioinspired robots capable of safe human interaction and complex environmental navigation. Key areas include soft material fabrication, biohybrid tissue integration, and dynamic control algorithms. Recent innovations include electrohydraulic actuators and vision-controlled printing for robotic components. Grants & Recognition: Secured funding from SNSF, NSF, and industry partners. Recognitions include a TED Fellowship (2022), Outstanding Paper Award (IEEE RoboSoft 2019), and Redtenbacher-Prize (2014). He serves on editorial boards for Advanced Robotics Research and npj Robotics , and chairs conference workshops globally. Labs & Teams: Directs the Soft Robotics Lab with 17 PhD students and 2 postdocs. Collaborates with leading institutions like MIT, Harvard, and the Weizmann Institute on biohybrid systems and robotic actuation.

• Soft Robotics
• Musculoskeletal Robotics
• Biohybrid Robotics
• +۵ مورد دیگر

Bernhard Thomaszewski is a Lecturer at the Department of Computer Science at ETH Zürich. His research focuses on computational mechanics, robotics, and computer graphics, with an emphasis on simulation-based design and material modeling. He explores topics such as deformable contact, flexible materials, and robotic mechanisms. His work bridges theoretical foundations and practical applications, including medical imaging, garment simulation, and biomechanical systems. Notable research interests include the development of novel algorithms for real-time simulation, optimization-driven design of mechanical systems, and integration of machine learning with physical models. He has contributed to advancements in finite element modeling, differentiable simulation, and topology optimization for robotic and biomedical applications. His recent projects highlight interdisciplinary collaboration, addressing challenges in areas like orthodontic treatment prediction, automated pipeline design, and neural network-driven material characterization. While no specific grants or awards are explicitly listed, his prolific publication record underscores his impactful contributions to computational engineering and computer science.

• Computer Graphics
• Robotics
• Computational Mechanics
• +۳ مورد دیگر

Jaboury Ghazoul serves as Full Professor of Ecosystem Management at ETH Zurich's Department of Environmental Systems Science since October 2005, holding a concurrent Prince Bernhard Chair of International Nature Conservation at Utrecht University since 2015. His academic journey spans from PhD studies at University of St Andrews to faculty positions at Imperial College London (1998-2005), with extensive fieldwork across tropical regions including Vietnam and Thailand. His educational background includes a 1993 PhD in evolutionary ecology of wasps from University of St Andrews under Prof. Pat Willmer, preceded by biodiversity survey work with Vietnam's Ministry of Forestry (1993-1994) and postdoctoral research at London's Natural History Museum (1995-1998). Ghazoul's research centers on plant reproductive processes in natural and human-altered environments, with three interconnected pillars: Pollination ecology - examining bee behavior and coffee fruit set dynamics in tropical agroforestry systems Forest conservation - investigating landscape fragmentation impacts on tree reproduction and genetic diversity Ecosystem services - quantifying climate and pest-driven shifts in agricultural systems while assessing carbon storage implications His work uniquely bridges molecular genetics, landscape ecology, and human livelihoods in tropical settings. Publications reveal a consistent focus on tropical ecosystems (70%), pollination networks (60%), and human-environment interactions (50%), with growing emphasis on climate change impacts since 2012. Key methodological approaches include field experiments across landscape mosaics, genetic analysis of fragmented populations, and interdisciplinary assessment of ecosystem services. Major recognitions include: ETH Zurich Golden Owl Teaching Award (2011) ATBC Award for Excellent Service (2013) President of Association of Tropical Biology and Conservation (2015) Prince Bernhard Chair appointment (2015) UK Forest Commission Expert Committee membership (2014) Ghazoul has supervised numerous doctoral students through ETH Zurich's environmental programs and secured significant research funding from CIFOR, WWF Netherlands (supporting his Utrecht chair), and Swiss National Science Foundation. His editorial leadership as Biotropica Editor-in-Chief (2006-2013) shaped tropical ecology discourse globally. Current projects integrate coffee agroforestry systems with forest conservation in Southeast Asia, supported by interdisciplinary grants examining climate-resilient agricultural landscapes. He maintains active field research in the Seychelles (evidenced by 'Working hard in the Seychelles' reference) and collaborates with institutions including CIFOR, UK Forest Commission, and Utrecht University's conservation programs. His lab focuses on tropical tree reproductive ecology using molecular tools combined with landscape-scale field studies.

• Pollination Ecology
• Plant Reproductive Ecology
• Tropical Forest Conservation
• +۵ مورد دیگر

Yuping Li is a Tenure-track Assistant Professor at the Biozentrum, University of Basel, where she leads a research group focused on the genetics and evolution of bacteria-jumbophage interactions. She was appointed in 2024 and received an SNSF Starting Grant the same year. Her research explores the unique biology of jumbophages—phages with large genomes and eukaryote-like properties—and their co-evolution with bacterial hosts, particularly the Pseudomonas phage phiKZ and the bacterial 'jumbophage killer' (Juk) immune systems. Nationality: Chinese Current Position: Tenure-track Assistant Professor, University of Basel, Biozentrum (since 2024) Previous Position: Postdoctoral Researcher, University of California, San Francisco (2019–2024) Visiting Scientist: EMBL, Heidelberg (2022–2023) Her research interests center on molecular microbiology, bacteriophage biology, bacterial immunity, and evolutionary genetics . She investigates how jumbophages form protective 'nuclei' inside bacterial cells to evade host defenses and how bacteria have evolved counter-mechanisms like the Juk system. This work combines genetics, microscopy, biochemistry, and structural biology to understand infection dynamics and evolutionary arms races. The ultimate goal is to harness jumbophages in fighting antibiotic-resistant bacteria. The recent publications show a strong trend in phage-host interactions, anti-CRISPR mechanisms, microbial evolution, and systems-level analysis of adaptation . Her work bridges fundamental virology with applied antimicrobial strategies, often using high-throughput sequencing, proteomics, and mathematical modeling. Articles span top journals like Cell , Nature Communications , and PLoS Biology , reflecting interdisciplinary impact. Scientific Awards: SNSF Starting Grant (2024) Postdoctoral Independent Research Grant, Program for Breakthrough Biomedical Research, UCSF (2021–2022) CEHG Predoctoral Fellowship, Stanford University (2018–2019) Genentech Foundation Predoctoral Fellowship (2016) Outstanding Student Scholarship (2007–2011) Yuping Li advises PhD students and postdoctoral fellows, including Elena Kaube, Dr. Marina Mahler, and Dr. Sam van Beljouw. Her group is supported by competitive grants such as the SNSF Starting Grant. She collaborates with leading scientists like Dr. Joseph Bondy-Denomy (UCSF) and Dr. Nassos Typas (EMBL). Her lab employs cutting-edge techniques in genetics, proteomics, and structural biology to dissect phage infection and bacterial immunity mechanisms. Her research group is part of the Biozentrum at the University of Basel, a leading institution in life sciences, and she is affiliated with the NCCR AntiResist initiative, focusing on antimicrobial resistance solutions.

• Molecular Microbiology
• Bacteriophage Biology
• Jumbophage Genetics
• +۱۲ 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.

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

Svantje Tauber is a biologist and researcher at the University of Zurich (UZH) within the Faculty of Medicine and affiliated with the UZH Space Hub . She works in the field of gravitational biology, focusing on how altered gravity impacts cellular mechanisms, particularly in the immune system and gene regulation. Her work bridges fundamental research with applied science through the UZH Innovation Hub. Research focus: Gravitational Biology, Biomechanics, Space Life Sciences Key initiatives: UZH Space Hub, Digital Society Initiative (DSI) Community Mobility Roles: Research Associate, Point of Contact for Space Life Science Projects Her research explores cellular adaptation to microgravity , including cytoskeletal changes, oxidative stress pathways, and epigenetic modifications in immune cells. She has contributed to understanding T cell and macrophage responses to gravitational alterations using parabolic flights, clinostats, and space station experiments. Current projects include the UZH Innovathon: Digitalization of Mobility , an interdisciplinary teaching format combining space research with mobility challenges. Her work emphasizes translational applications for spaceflight and Earth-based health.

• Gravitational Biology
• Biomechanics
• Cell Biology
• +۴ مورد دیگر

Dr. Radhika Khandelwal is affiliated with the Laboratory of Translational Nutrition Biology at ETH Zürich, part of the Institute of Food, Nutrition and Health. Her work bridges digital humanities, computational methods, and religious studies in African contexts. She focuses on topics such as Islamic intellectual movements, religious activism in universities, and the role of technology in religious discourse. Her research explores the intersection of religion and politics in West Africa, particularly in Togo, Benin, and Côte d'Ivoire. Key projects include the Islam West Africa Collection (IWAC), which uses AI to curate historical data, and collaborations with institutions like the École nationale des chartes (ENC) in Paris. These partnerships address AI chatbots in historical research and digital edition platforms for medieval texts. Dr. Khandelwal’s articles examine religious minorities, Salafism, counterterrorism policies, and the digitization of Islamic heritage. She emphasizes how technology reshapes religious engagement, authority, and public spheres. Her interdisciplinary approach integrates sociology, political science, and digital methodologies to analyze contemporary religious dynamics in Africa. Her work highlights the transformative potential—and ethical challenges—of AI in humanities research. Recent discussions with ENC scholars explore RAG architecture for historical corpora and public-facing digital tools. Future collaboration aims to expand digital humanities applications in African religious studies.

• Digital Humanities
• Islamic Studies
• African Studies
• +۳ مورد دیگر