جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Medical Imaging
• Image Processing
• +۳ مورد دیگر

Christophe Chênes is a Senior Academic Associate (Researcher) at the Geneva School of Health Sciences (HES-SO), part of the Department of Medical Radiology Technology. His primary affiliation is with the School of Health, focusing on medical imaging and artificial intelligence applications in healthcare. Education: Holds a BSc in Medical Radiology Technology from the Geneva School of Health (HES-SO). Research Interests: Development of AI-driven solutions for medical imaging (e.g., X-ray, MRI, CT). Medical imaging system design for low-resource environments (e.g., GlobalDiagnostiX project). 3D reconstruction and 2D-3D registration for surgical planning (e.g., MyHip project). Image augmentation techniques for improving medical AI model performance. Key Projects: SUBREAM (2022–2025): Smart ultrafast breast MRI protocols combining AI and advanced imaging sequences. AIRx (2019–2020): AI-based radiography simulator for student training, reducing ethical risks in education. MyHip (2012–2014): Dynamic surgical planning for hip replacements using patient-specific models. Grants: Secured funding from Swiss Cancer Research, Fondation Hasler, Innosuisse, and others totaling over CHF 900,000 across multiple projects. Labs/Teams: Collaborates with interdisciplinary teams including EPFL, Geneva University Hospitals, and industry partners like Medacta International SA.

• Nanotechnology
• Advanced Materials
• Applied Physics
• +۴ مورد دیگر

Silvia Schintke is a Professor of Nano- and Materials Engineering at the HES-SO University of Applied Sciences Western Switzerland, leading the Laboratory of Applied NanoSciences (COMATEC-LANS) and the Industrial Systems Engineering program. She holds a PhD in Physics from the University of Lausanne and has extensive experience in micro- and nanotechnology education, having led multiple European Leonardo da Vinci projects (e.g., NanoSkills, ComEd, SOLID) to enhance vocational training in these fields. Education: PhD in Physics (University of Lausanne, 2001) Diplom Physik (Technical University of Berlin, 1997) Executive Diploma in General Management (University of St. Gallen, 2014) Research Interests: Focuses on nanocomposites, functional materials, and their applications in fields like food packaging (via electrospun nanofibers) and biomedical electrodes. Her work integrates materials science with electrophysiology for innovations like conductive hydrogels and flexible electronics. Current Projects (Ongoing): SIENA: Leads materials design for agricultural electrophysiology networks (innosuisse-funded) PRONANO: HES-SO grant for nano-technology applications MACAFLEX: Interreg France-Switzerland collaboration on composite materials Grants & Awards: Over 20+ grants from HES-SO, CTI, and European programs including FP7 CORRAL and SCOPES. Active in industry partnerships (e.g., Vivent SA, Agroscope). Labs & Teams: COMATEC-LANS lab focuses on applied nanoscience, collaborating with teams on projects spanning from hydrogen storage (H2PORTS) to fungal electrical signaling.

• Theoretical Computer Science
• Combinatorics
• Discrete Mathematics
• +۵ مورد دیگر

Dr. Heidi Gebauer is a researcher at the ZHAW School of Engineering, specializing in Scientific Computing & Algorithmics. She is based at the Winterthur campus and actively contributes to theoretical computer science and discrete mathematics research. Her research interests span Theoretical Computer Science , Combinatorics , Random Graphs , Algorithm Design , Advice Complexity , and Graph Theory . Her work combines mathematical rigor with computational applications, particularly in algorithmic game theory and combinatorial structures. The recent publications reflect a strong focus on theoretical analysis of algorithms and combinatorial models, with applications in computational complexity and discrete optimization. Her work often appears in high-quality peer-reviewed venues in combinatorics and computing. Dr. Gebauer has contributed to completed research projects including the development of an intelligent scheduling system for a 14-axis laser welding machine and a new end-point controller. These projects suggest applied algorithmic work alongside theoretical contributions. No scientific awards listed in the provided text. She has collaborated with researchers such as Dennis Clemens, Anita Liebenau, Dennis Komm, and others. There is no mention of student supervision or grant leadership in the available information. Dr. Gebauer is part of the research team in the Research Focus Scientific Computing & Algorithmics at ZHAW, which likely involves collaboration on algorithm development, mathematical modeling, and computational problem-solving.

• Cloud Computing
• Distributed Systems
• Network Functions Virtualization (NFV)
• +۷ مورد دیگر

Prof. Dr. Thomas Michael Bohnert is a faculty member at ZHAW School of Engineering, specializing in distributed systems and cloud computing. He has led multiple projects including: Bringing FIWARE to the NEXT step (completed), Enterprise Cloud Robotics Platform (completed), Apache Cloudstack for NFV (completed), Solidna cloud storage (completed), T-NOVA NFV services (completed), and Mobile Cloud Network (completed). Research Focus: Cloud robotics Network Functions Virtualization (NFV) Software-Defined Networking (SDN) Mobile cloud networking Resilient cloud systems Energy-efficient cloud platforms Publications Trends: His work spans 2012-2024 with consistent focus on cloud-native application design, NFV orchestration, SDN implementation, and mobile cloud integration. Key themes include self-managing systems, distributed computing frameworks, and infrastructure optimization. Collaborations: Frequently collaborates with Andrew Edmonds, Giovanni Toffetti Carughi, Piyush Harsh, and Sandro Brunner across EU projects and industry partnerships.

• Quantum Computing
• Logic Synthesis
• Quantum Compilation
• +۳ مورد دیگر

Mathias Soeken is a Lecturer at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences and the Integrated Systems Laboratory (LSI1). He is actively involved in teaching and research related to quantum computing, logic synthesis, and compiler optimization. His research focuses on quantum circuit optimization resource estimation design automation for quantum technologies reversible logic synthesis compiler frameworks for quantum computing Key trends in his publications include: fault-tolerant quantum computing quantum compilation techniques logic network optimization symbolic resource estimation logic synthesis for emerging technologies XOR-Majority logic integration He has supervised multiple PhD students including Haaswijk Winston Jason, Meuli Giulia, Schmitt Antunes Bruno, and Testa Eleonora.

Matthew Wodrichمشاهده پروفایل

پژوهشگر

• Computational Chemistry
• Homogeneous Catalysis
• Organic Reaction Mechanisms
• +۴ مورد دیگر

Matthew Wodrich is a Research and Teaching Associate at the Institute of Chemical Sciences and Engineering (ISIC-GE) and Computational Molecular Design Laboratory (LCMD) under the School of Basic Sciences at Ecole Polytechnique Fédérale de Lausanne (EPFL) . His research focuses on computational chemistry, homogeneous catalysis, and asymmetric synthesis, with significant contributions to reaction mechanism modeling and enantioselectivity prediction. He actively contributes to teaching programs at EPFL's SCGC-ENS division. Key Research Areas: Computational Reaction Modeling, Enantioselectivity Prediction, Volcano Plot Analysis, Metal-Ligand Cooperative Catalysis, Photocatalysis, and Machine Learning in Chemistry. Recent Article Trends: His 2022-2025 work emphasizes computational catalyst optimization , solvent effects in reaction selectivity , and machine learning-driven enantioselectivity analysis , with applications in transition metal catalysis, hypervalent iodine chemistry, and CO 2 reduction.

Felix Wechslerمشاهده پروفایل

پژوهشگر

• Computational Optics
• 3D Printing
• Optical Propagation
• +۳ مورد دیگر

Felix Wechsler is a Doctoral Assistant and PhD Student in Photonics at the École Polytechnique Fédérale de Lausanne (EPFL), working in the Laboratory of Applied Photonics Devices (LAPD) under Prof. Christophe Moser. He is also a PhD Student Representative in the EDPO-GE group within the Doctoral Program in Photonics. His primary affiliation is with the School of Engineering (STI) and the Department of Microengineering (IEM) at EPFL. Education: Felix holds a Bachelor of Science in Informatics and Physics from the Technische Universität München (TUM), and a Master of Science in Photonics from Friedrich Schiller University Jena (FSU Jena). Research Interests: His research focuses on computational tools for tomographic 3D printing, optical wave propagation, and microscopy. He develops innovative methods using Julia programming, including packages like SwissVAMyKnife.jl and Dr.TVAM. His work aims to improve volumetric additive manufacturing through advanced optical techniques and algorithmic optimization. Publications: Recent work includes scalable optical propagation methods, MEMS-based light modulators for holographic manufacturing, and inverse rendering frameworks for tomographic additive processes. These contributions highlight advancements in both theoretical and applied aspects of optical engineering and manufacturing. Awards: No scientific awards have been explicitly mentioned in the provided information. Advising & Collaborations: Felix has not yet advised students, but his research is supported through collaborations and institutional funding at EPFL. His involvement in developing open-source tools reflects his commitment to reproducibility and community-driven science. Labs & Teams: He is part of the LAPD laboratory and collaborates with the Realistic Graphics Lab (RGL) at EPFL, as evidenced by his reposts on Bluesky.

Sven Helmerمشاهده پروفایل

استاد

• Database Systems
• Big Data Analytics
• Semantic Computing
• +۲ مورد دیگر

Prof. Dr. Sven Helmer is a Professor in the Department of Informatics at the University of Zurich. Previously held positions include Associate Professor at the Free University of Bozen-Bolzano and Senior Lecturer at Birkbeck, University of London. He obtained his PhD from the University of Mannheim. Research Focus: Database technology, big data analytics, query optimization, and distributed systems. Key interests include scalable indexing, time series analysis, and semantic computing. Recent Publications: Work spans query optimization, graph data structures, and educational methodologies in data science. Dominant themes include scalability in database systems and algorithmic innovations for dynamic data. Awards: Distinguished Reviewer Award, ICDE'20 Best Paper Award, ADBIS'17 Best Teacher Award 2013 Contact: Binzmühlestrasse 14, CH-8050 Zürich. Office BIN 2.E.09. Email: helmer@ifi.uzh.ch. Phone: +41 44 635 67 28.

• Sociology of Digitization
• Technology and Society
• Software Studies
• +۲ مورد دیگر

Paula Bialski is an Associate Professor of Sociology of Digitisation at the University of St. Gallen's School of Humanities and Social Sciences. Her research focuses on the intersection of technology and society, particularly examining how digital tools mediate human interactions and organizational structures. She investigates themes including software workplace cultures, mobility technologies, and sharing economy platforms through ethnographic approaches. Her research explores Social dimensions of software development practices Technology-mediated mobility and urban experiences Sharing economy platforms and their impact on private/public boundaries Communication patterns in digital environments Ethical implications of anonymity technologies Recent publications demonstrate a consistent focus on how mundane technologies (like coffee machines) and complex systems (like mobility platforms) reshape social interactions. Her work employs ethnographic methods to unpack the cultural and organizational dimensions of technological systems across diverse contexts.

• Service Design & Management
• Collaboration Engineering
• Digital Learning
• +۷ مورد دیگر

Jan Marco Leimeister is a Professor and Director at the Institute of Business Administration (IBWL) at the University of Kassel. His research focuses on service design & management, collaboration engineering, and digital learning innovations. He leads interdisciplinary projects exploring conversational AI, generative AI applications, and ethical AI system design. Key research areas include service innovation ecosystems, hybrid human-AI collaboration frameworks, and digital transformation strategies. His work emphasizes practical applications in areas like financial fraud detection (via synthetic data ecosystems) and adaptive learning systems for argumentation skill development. He actively contributes to advancing methodologies for structured literature reviews in business research and integrating generative AI into scholarly practices. Recent publications (2024-2025) highlight contributions in AI ethics, metaverse platform analysis, and process mining for IT service management. His work bridges theory and practice, addressing challenges in data fairness, conversational agent branding, and scaling digital service innovations. Leimeister's academic leadership includes directing the IBWL's master's programs in Digital Business and Sustainable Management. He collaborates internationally, emphasizing design science research and technology-driven solutions for modern organizational challenges.

• Rational Inattention
• Game Theory
• Environmental Economics
• +۳ مورد دیگر

Michèle Müller-Itten is an Assistant Professor of Microeconomics at the University of St. Gallen (HSG), Department of Microeconomics. Previously, she served as an Assistant Professor at the University of Notre Dame from 2017-2023. Her research focuses on Rational Inattention, Game Theory, and their applications to environmental and resource economics. She explores topics such as decision-making under information constraints, water resource management, refugee migration impacts, and transboundary governance challenges. Her work bridges theoretical economics with practical policy design, addressing issues like groundwater cooperation between nations, climate change displacement effects, and the socioeconomic consequences of resource scarcity. Key projects include analyzing water stress displacement patterns and designing institutional frameworks for sustainable resource management. Her publications span disciplines from pure microeconomic theory to applied environmental studies, often integrating mathematical modeling with real-world policy implications. She maintains an active presence in academic collaborations, including the Alexandria Research Team at HSG. No scientific awards are listed in the provided materials.

• Tourism Management
• Destination Management
• Sustainable Tourism
• +۳ مورد دیگر

Pietro Beritelli is an Associate Professor of Management at the University of St. Gallen, specializing in Tourism Management. His research focuses on destination management, sustainable tourism development, and digital innovation in the tourism sector. He has contributed significantly to understanding crisis management strategies, overtourism solutions, and adaptive governance frameworks for tourist destinations. His work emphasizes practical applications of academic research, particularly through the St. Gallen Model for Destination Management. Key themes include analyzing visitor flows, leveraging digital analytics responsibly, and addressing challenges posed by alpine tourism's unique environmental and socio-economic contexts. Recent studies explore post-pandemic tourism trends, the role of influencer marketing, and the integration of smart services in open service networks. Beritelli advocates for multi-stakeholder collaboration and policy-driven solutions to enhance destination competitiveness while ensuring environmental and cultural preservation. His research consistently bridges theoretical advancements with actionable insights for destination management organizations (DMOs), emphasizing variable geometry principles and process-oriented approaches to governance challenges.

Henry Markramمشاهده پروفایل

استاد

• Neuroscience
• Neural Microcircuits
• Computational Neuroscience
• +۲ مورد دیگر

Henry Markram is Full Professor and Director of the Laboratory of Neural Microcircuitry at EPFL's School of Life Sciences. A neuroscience pioneer, he founded the Blue Brain Project and discovered fundamental principles including Spike Timing Dependent Plasticity (STDP). His research focuses on reverse-engineering neural microcircuits to understand cortical computation. Research Domains: Electrophysiology & Microcircuits: Multi-patch clamp characterization of neuronal properties Channelome: Systematic profiling of ion channel biophysics Neuroanatomy: 3D reconstruction of cortical neuron morphologies Plasticity: Time-scale adaptive synaptic modification mechanisms Neuromodulation: Dopaminergic and cholinergic circuit regulation Publication Focus: Computational neuroscience dominates recent works, featuring multi-scale modeling of neural systems, comparative neuroanatomy, and metabolic interactions. Articles frequently employ advanced simulation techniques to explore information processing across biological scales. Awards & Leadership: Fulbright Scholar, Minerva Fellow, and founder of the Blue Brain Project. Directs 10+ doctoral researchers investigating neocortical circuit principles.

Fernando Porté-Agelمشاهده پروفایل

استاد

• Environmental Fluid Mechanics
• Turbulence
• Computational Fluid Dynamics
• +۳ مورد دیگر

Fernando Porté-Agel is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL), leading the Wind Engineering and Renewable Energy Laboratory (WIRE) within the School of Architecture, Civil and Environmental Engineering (ENAC). His expertise spans Environmental Fluid Mechanics, Turbulence, and Wind Energy. He holds a Ph.D. from Johns Hopkins University (1999) and has held academic positions at the University of Minnesota before joining EPFL in 2010. Education: Ph.D., Environmental Engineering, Johns Hopkins University (1999) M.Sc., Hydrologic Engineering, IHE Delft (1995) B.S., Civil Engineering, Universidad Politécnica de Cataluña (1992) Research Interests: Large-eddy simulation of atmospheric boundary layers Wind turbine wakes and wind farm optimization Environmental fluid dynamics and turbulence modeling Wind energy systems and renewable energy technologies Awards: McKnight Presidential Fellow (2006–2009) NASA Young Investigator Award (2001–2004) NSF CAREER Award (2001–2006) Teaching & Advising: PhD Students: Duan Guiyue, Jamshidmofid Mohammad, and others Courses: Fluid Mechanics (for SIE), Environmental Transport Phenomena Labs & Teams: Directs the WIRE lab, collaborating on projects involving wind farm layout optimization, lidar-based wake measurements, and turbulence modeling.

Michael Kapralovمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Sublinear Algorithms
• Big Data Analysis
• +۹ مورد دیگر

Michael Kapralov is an Associate Professor in the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL) , where he leads research at the Theory Group . His work spans multiple departments including the Laboratory of Theory of Computation 4 and the Doctoral Program in Computer Science and Communications . Kapralov's research focuses on theoretical computer science , particularly sublinear algorithms for big data analysis , with applications in streaming , sketching , sparse recovery , and Fourier sampling . University: EPFL School: School of Computer and Communication Sciences Department: Theory Group Academic Rank: Associate Professor Education: Kapralov earned his Ph.D. in Computer Science from Stanford iCME under the supervision of Ashish Goel . He subsequently held postdoctoral positions at the Mit CSAIL Theory of Computation Group with Piotr Indyk and as a Herman Goldstine Postdoctoral Fellow at IBM T. J. Watson Research Center . Ph.D.: Stanford iCME (2012), advisor: Ashish Goel Postdoctoral: MIT CSAIL (2012-2014), IBM Watson (2014) Research Interests: Kapralov's work addresses fundamental challenges in processing large-scale data through rigorous mathematical models. His contributions include advancements in sublinear algorithms , streaming complexity , spectral sparsification , sparse Fourier transforms , and differential privacy . He has developed techniques for dimension-independent signal processing , kernel ridge regression , and graph spanners , with theoretical guarantees and practical implications for machine learning and data analysis. Scientific Awards: Kapralov received the ERC Starting Grant SUBLINEAR (2018-2023) and the Gene H. Golub Dissertation Award (2012). Advising: He has supervised numerous Ph.D. students and postdoctoral researchers, including Ekaterina Kochetkova , Grzegorz Gluch , Kshiteej Sheth , and Amir Zandieh , many of whom have taken academic or industry positions at institutions like UC Berkeley, National University of Singapore, and Google Zurich. Collaborations and Teaching: Kapralov co-organizes the Turing Course for high school students, leads the Reading Group on Foundations of Deep Learning , and contributes to academic initiatives such as Theory Coffee and the Swiss Winter School on Theoretical Computer Science . He teaches courses like Sublinear Algorithms for Big Data Analysis and Algorithms II , focusing on advanced algorithm design and analysis.