جست‌وجوی استاد و پژوهشگر

• Thermodynamics
• Energy Technology
• Process Engineering
• +۵ مورد دیگر

Mirko Kleingries is a Professor and Head of the Competence Center for Thermal Energy Systems and Process Engineering at the Lucerne School of Engineering and Architecture (HSLU). He holds a doctorate in high-temperature corrosion from RWTH Aachen University and has over 15 years of industry and academic experience. His professional expertise spans thermodynamics, energy technology, and process engineering with a focus on renewable energy systems and energy efficiency. Education: Doctorate in High-Temperature Corrosion (RWTH Aachen, 2010) General Mechanical Engineering Studies (University of Essen, 2004) Industrial Mechanics Apprenticeship (Post-Secondary) Research Interests: Kleingries leads the SORPTION research group developing sorption-based energy systems. His work includes technical sorption processes for energy applications, waste heat recovery, and innovative desalination technologies. He actively engages in renewable energy projects such as wind/PV power generation and thermal energy system optimization. Key Projects: Microalgae for Carbon Dioxide Removal Energy Efficient Sorption Processes Softcool 2.0 - Innovative Cooling Systems Microwave-Assisted Dewatering Systems Awards: Borchers Badge (2010) for outstanding doctoral research Distinction in Doctoral Thesis (2010) Academic Contributions: He teaches thermodynamics and energy process technology at undergraduate and graduate levels (MSE programs), oversees continuing education programs at IME, and has authored numerous peer-reviewed articles and technical reports.

• History Education
• Social Studies Education
• Primary Education Methods
• +۴ مورد دیگر

Prof. Christian Mathis is a Professor for General Studies Education (history, social studies, and science education) specializing in elementary, pre-primary, and primary school education. He leads the Chair of Teaching and Learning of Specialist Subjects at Fachhochschule Nordwestschweiz (FHNW). Contact: +41 61 228 52 53 | christian.mathis@fhnw.ch | Liestal-B007, Benzburweg 30, 4410 Liestal Education: Lic. phil. (MPhil) in History and Educational Sciences, University of Fribourg (Switzerland) Dr. phil. (PhD) in History Education, University of Oldenburg (Germany) Research Focus: Students' historical conceptions (e.g., French Revolution, Holocaust) 'Educational Reconstruction Model' for improving history/social science teaching Primary/secondary school history and social studies pedagogy Multiperspectivity and perspective-taking in education Professional Background: Combines teaching experience in Switzerland with academic research. Active in teacher education programs and phenomenon-orientated learning methodologies.

• Laser Technology
• Ultrafast Lasers
• Optical Coherence Tomography
• +۳ مورد دیگر

Prof. Dr. Bojan Resan is a Lecturer in Laser Technology at the FHNW Institute of Product and Production Engineering, part of the University of Applied Sciences Northwestern Switzerland. He teaches Optical Engineering in the Master of Science in Engineering program and contributes to courses in Mechanical Engineering, Electrical Engineering, and Systems Engineering. His research focuses on ultrafast lasers, optical systems design, and laser micromachining, with notable work on femtosecond laser development and optical coherence tomography. Resan holds a PhD in Optics from CREOL/College of Optics and a Marie Curie Senior Scientist Fellowship. Education: PhD in Optics (2004–2008), Center for Research and Education in Optics and Lasers/College of Optics, Orlando, FL, USA Master Degree in Optics (2001–2004), CREOL/College of Optics, Orlando, FL, USA Master Degree in Photonics and Imaging (1997–1998), ENSPS Strasbourg/Institute d’Optique, France Dipl. Ing. in Physics (1997), University of Zagreb, Croatia Resan’s research interests span ultrafast laser systems, laser micromachining, and optical coherence tomography. His work emphasizes high-repetition-rate lasers for industrial applications and novel laser technologies for precision engineering. Recent projects include the development of compact, low-cost ultrafast lasers and wafer-scale grating compressors. He has authored over 27 journal articles, holds 7 US patents, and contributed to the SwissFEL facility’s laser characterization. His scientific accolades include the Marie Curie Senior Scientist Fellowship. Resan advises Master and PhD students and supervises research projects on laser beam shaping, dual-comb LiDAR, and machine learning-driven optical alignment. Key collaborations include NanoArgovia (NanoLase project), Eurostar (GigaMicro), and Innosuisse-funded initiatives. His labs focus on advancing laser technologies for manufacturing, biomedical imaging, and precision engineering.

Silvia Sbaragliمشاهده پروفایل

استاد

• Mathematics Education
• Didactics of Mathematics
• Geometry Teaching
• +۴ مورد دیگر

Silvia Sbaragli is a Professor of Mathematics Education at the Department of Education and Learning / Higher Education School of the University of Applied Sciences and Arts of Southern Switzerland (SUPSI) in Locarno, Switzerland. She serves as head of the DdM Competence Center (Mathematics Teaching Competence Center) and director of the SUPSI Master of Arts in Mathematics Education program, while also editing the journal Didattica della Matematica. Dalla ricerca alle pratiche d'aula (Mathematics Education: From Research to Classroom Practice). University of Applied Sciences and Arts of Southern Switzerland (SUPSI): Professor of Mathematics Education (2014-present) University of Bolzano: Research and teaching position (2000-2012) University of Salerno: Two-year research project (2003) University of Bologna: Collaborator with Department of Mathematics (1995-present) Dr. Sbaragli received her Mathematics degree from the University of Bologna in 1995, followed by a postgraduate course in Mathematics Education, Diploma di abilitazione in Matematica (SSIS), and PhD in Mathematics Education. She holds teaching qualifications for elementary and high school mathematics and physics. Her research focuses on practical applications of mathematics education theory with emphasis on developing mathematical reasoning through hands-on approaches. She investigates how students develop spatial reasoning through geometry activities, alternative calculation methods that leverage embodied cognition (like finger counting), and the integration of argumentation skills into mathematics instruction. Her work consistently bridges theoretical research with classroom practice, particularly in elementary and secondary education settings. Analysis of her recent publications reveals a strong emphasis on making mathematics accessible and engaging for all students. Her research consistently addresses inclusive practices, transversal skill development, and the connection between physical manipulation and mathematical understanding. She demonstrates particular expertise in translating complex mathematical concepts into developmentally appropriate learning experiences. Dr. Sbaragli's significant contributions to the field have been recognized through: Research grant award (2003) Giorgio Bagni Prize for an article in mathematics education (2010) National scientific qualification as associate professor in Italy (2013) As director of the Master of Arts in Mathematics Education, she shapes the next generation of mathematics educators while leading multiple research initiatives including 'Feeling good about mathematics,' 'MaMa Platform for Equity in Primary Education,' and 'Let's learn Italmatica with Bea and Leo.' Her editorial work on the DDM journal creates a vital platform for sharing research and classroom practices among mathematics educators. Dr. Sbaragli leads the DdM Competence Center which serves as a hub for research, professional development, and resource sharing for mathematics educators across Switzerland. The center develops innovative teaching approaches, provides continuing education for practicing teachers, and conducts research on effective mathematics instruction. Through her leadership, the center has become a nationally recognized resource for mathematics education excellence.

Nicolas Flammarionمشاهده پروفایل

استادیار

• Machine Learning
• Statistics
• Optimization
• +۳ مورد دیگر

Nicolas Flammarion is a tenure-track Assistant Professor in Computer Science at the École Polytechnique Fédérale de Lausanne (EPFL). He holds positions in multiple departments including the Theory in Machine Learning (TML) lab under the School of Computer and Communication Sciences (IC). His roles include teaching and doctoral program leadership across disciplines like Communication Systems and Computer Science. Education: PhD in 2017 from École Normale Supérieure (Paris), advised by Alexandre d’Aspremont and Francis Bach. Postdoctoral fellowship at UC Berkeley under Michael I. Jordan. Research focuses on machine learning theory, optimization, and statistical methods. Key areas include adversarial robustness, algorithmic generalization, and optimization dynamics. Notable contributions include work on SGD/GD comparisons, adversarial benchmarking (RobustBench), and safety in AI systems. Awards include the 2018 Fondation Mathématique Jacques Hadamard PhD Prize, 2021 NeurIPS Outstanding Paper Award, and 2024 Trust & Safety Google Research Award. Supervises PhD students in topics like algorithm design and machine learning theory. Labs/Teams: Leads TML lab and contributes to EPFL's doctoral programs in Informatics and Communication Sciences. Active in curriculum development for advanced machine learning topics.

Jeffrey Huangمشاهده پروفایل

استاد

• Design Thinking
• Artificial Intelligence in Architecture
• Strategic and Experience Design
• +۳ مورد دیگر

Jeffrey Huang is a Full Professor at EPFL, holding joint appointments in the Faculty of Computer and Communication Sciences (IC) and the Faculty of Architecture, Civil and Environmental Engineering (ENAC). He directs the Institute of Architecture and leads the Media x Design Laboratory (MxD Lab). His areas of expertise include Design Thinking, Artificial Intelligence in Architecture, Urban Digital Twins, and Computational Urbanism. Educated at ETH Zurich (DiplArch), Harvard University (Masters and PhD), Huang has held academic roles at MIT, Harvard, Tsinghua University, and the Singapore University of Technology and Design (SUTD). He is a recipient of the Gerald McCue Medal for academic excellence and the 2023 ACSA Best Article Award for his work on GANs and architectural design. Recent research focuses on combining machine learning with architectural design, particularly exploring generative adversarial networks (GANs), spatial analysis, and urban digital twins. His projects include the Blue City Innosuisse Flagship Project and the Singapore Prototypologies initiative. Awards include the 2023 ACSA Best Article Award and the Best Presentation Award at CAAD Futures 2009. He supervises numerous PhD students and has led significant research grants such as the Innosuisse Flagship Project and the MIT-SUTD collaborations. Huang co-founded Convergeo, a strategic design firm, and has been involved in creating new architectural education programs, including the Architecture and Sustainable Design Pillar at SUTD.

• Product Management
• Supply Chain Management
• Artificial Intelligence
• +۳ مورد دیگر

Amin Kaboli is a Lecturer at the Swiss Federal Institute of Technology in Lausanne (EPFL), holding positions in the School of Mechanical and Process Engineering and the School of Computer and Communication Sciences . As Co-Director of the AI Product Management program , he specializes in teaching students to apply AI/ML principles to real-world product development. His academic roles include designing curricula that blend technical engineering with business leadership, such as courses on Sustainable Products and Production Management. He earned a Ph.D. in Manufacturing Systems & Robotics from EPFL and holds a graduate degree in Industrial Engineering. His leadership training at IMD Business School complements his engineering background, enabling him to advise Fortune 500 corporations like Philip Morris International, Nespresso, and Rolex, as well as Swiss startups. His professional experience includes roles as an executive and COO of a startup, alongside work as an executive coach (PCC-certified). Kaboli’s research interests span AI-driven innovation , supply chain optimization , and sustainability . He explores solutions for energy management in smart grids, waste reduction in construction, and fault detection in industrial machinery. His work integrates fuzzy logic, multi-criteria decision-making (MCDM), and hybrid machine learning frameworks to address complex challenges. He teaches courses such as AI Product Management (focus on practical AI/ML applications), Sustainable Products and Supply Chains (sustainability principles and logistics optimization), Production Management (cost-effective manufacturing strategies), and Continuous Improvement of Manufacturing Systems (process optimization and team leadership). No scientific awards or grants are explicitly listed. His contributions include developing frameworks for eco-city solutions and waste management strategies. Kaboli’s office is located at ME A2 408 , EPFL’s Lausanne campus, where he also engages in administrative and educational leadership roles.

Olivier Martinمشاهده پروفایل

استاد

• Plasmonics
• Nanophotonics
• Nonlinear Optics
• +۱۰ مورد دیگر

Overview Prof. Olivier Martin is a Full Professor of Nanophotonics and Optical Signal Processing at École Polytechnique Fédérale de Lausanne (EPFL), leading the Laboratory of Nanophotonics and Metrology. He holds academic roles in multiple departments including STI's Microengineering and Electrical & Electronics Engineering programs, and oversees doctoral training in Photonics and related fields. His research focuses on plasmonics, nonlinear optics, and metamaterials, with applications in biosensing, optical forces, and nano-manufacturing. Education PhD in Physical Sciences (EPFL, 1994) Engineering Degree (EPFL, 1989) Research Interests Dr. Martin’s work combines numerical simulations, advanced nanofabrication, and experimental techniques to study plasmonic nanostructures. Key areas include metasurface design, nonlinear optical effects, optical trapping, and heterogeneous catalysis. His lab has pioneered studies on anisotropic second-harmonic generation, tunable optical forces, and plasmonic-based security technologies. Publications & Awards With over 300 peer-reviewed articles and patents, his 2016 ERC Advanced Grant supported research into optical-force-driven nanofabrication. He is a Fellow of Optica and serves on editorial boards of Advanced Photonics and Frontiers in Physics . Advising & Leadership Directed 25+ PhD theses at EPFL Directed EPFL’s Doctoral Program in Photonics (2005–2017) Reformed Microtechnology curriculum, launching the Robotics Master’s program Labs & Groups He heads the Laboratory of Nanophotonics and Metrology, focusing on cutting-edge research in nanoscale optical systems and their practical implementations.

Hristo Georgiev Papazovمشاهده پروفایل

پژوهشگر

• Machine Learning Theory
• Deep Learning
• Optimization Algorithms
• +۳ مورد دیگر

Hristo Georgiev Papazov is a Doctoral Assistant at the Theory of Machine Learning (TML) Laboratory under the Institute of Information and Communication Systems (IINFCOM) at EPFL. His primary affiliation is within the School of Computer and Communication Sciences (IC) at the prestigious École Polytechnique Fédérale de Lausanne. Additionally, he is enrolled in the Doctoral Program in Computer Science (EDIC) within the School of Engineering (ETU). His research interests span theoretical computer science, machine learning fundamentals, and applied deep learning in healthcare contexts. Notable focuses include algorithmic analysis of neural networks, optimization dynamics, and clinical text classification systems using SNOMED CT standards. His work also intersects with mathematical analysis, particularly in extending classical complex analysis techniques to elliptic frameworks. Papazov has contributed to publications addressing momentum-based training in linear networks, dimensionality effects in online algorithms, and interdisciplinary applications of machine learning in medical coding. His current position involves both research in the TML lab and doctoral studies, reflecting a dual commitment to advancing theoretical understanding and practical applications in computer science.

Anne-Florence Bitbolمشاهده پروفایل

استادیار

• Protein Evolution
• Statistical Physics of Biological Systems
• Computational Biology
• +۲ مورد دیگر

Anne-Florence Bitbol is a Tenure Track Assistant Professor at EPFL's Institute of Bioengineering, where she leads research at the intersection of statistical physics and biological evolution. Education: PhD in Physics, Université Paris-Cité (2012) MSc in Fundamental Physics, École Normale Supérieure (2009) BSc in Physics, École Normale Supérieure de Lyon (2007) Her group develops quantitative models to understand protein evolution, microbial adaptation, and sequence-function relationships. Current projects investigate how spatial structure impacts evolutionary dynamics and develop machine learning methods for protein sequence analysis. Recipient of the IUPAP Young Scientist Prize in Biological Physics (2023) and EPFL's Best Teacher Award (2023). Research combines theoretical approaches with data-driven methods to reveal fundamental principles in biological systems. Recent publications include advances in protein language modeling, evolutionary rescue mechanisms, and CRISPR-Cas system dynamics. Teaches graduate courses in genomics and computational biology methods.

Maciej Bestaمشاهده پروفایل

پژوهشگر

• Sparse Graph Computations
• Large Language Models
• Graph Neural Networks
• +۷ مورد دیگر

Maciej Besta is a leading researcher at ETH Zurich's Institute for Computing Platforms, where he heads research initiatives at the Scalable Parallel Computing Lab (SPCL) and contributes to the ETH Future Computing Laboratory (EFCL). Working under the mentorship of Professor Torsten Hoefler, he has established himself as a prominent figure in high-performance computing, graph processing, and large language models. Position: Researcher at Institute for Computing Platforms, ETH Zurich Research Leadership: Head of Sparse Graph Computations and Large Language Models Research at SPCL Collaboration: Leads project management for SPCL's contributions to ETH Future Computing Laboratory Besta's research spans multiple abstraction levels, from hardware and network topologies to middleware, algorithms, and programming models. His primary focus areas include graph-enhanced language models, graph neural networks, graph databases, and sparse models, with applications across various computational settings. He approaches these problems through rigorous performance modeling and formal reasoning, emphasizing both scalability and practical implementation. His recent publications reveal a clear trend toward integrating graph structures with language models and AI systems. Besta has pioneered work on graph databases, knowledge graphs of thoughts, and higher-order graph neural networks, while maintaining his strong foundation in high-performance computing and network topology design. His research bridges traditional HPC with cutting-edge AI, creating novel approaches for efficient large-scale computation. IEEE TCSC Award for Excellence in Scalable Computing (Early Career, 2023) Multiple Best Paper Awards at Supercomputing conferences (2022, 2023) ACM SIGHPC Doctoral Dissertation Award (2022) ETH Medal for outstanding doctoral thesis (2021) Fellow of The Explorers Club (2022) Besta actively mentors ETH Zurich students through semester projects, Bachelor's, and Master's theses, focusing on graph processing and related computer science challenges. His mentorship extends beyond technical guidance, incorporating lessons from his extensive polar and mountaineering expeditions that emphasize mental resilience, efficient risk management, and leadership. He has supervised numerous student projects that have resulted in high-impact publications at top-tier conferences. As a core member of the Scalable Parallel Computing Lab, Besta collaborates with researchers across ETH Zurich and international institutions. His unique approach integrates insights from extreme environment expeditions into research methodology, creating a distinctive framework for tackling complex computational problems. The lab's work under his leadership spans theoretical modeling, practical implementation, and real-world deployment of high-performance systems.

• Quantum Computing
• Machine Learning
• Probabilistic Programming
• +۳ مورد دیگر

Timon Gehr is part of the Professorship for Computer Science at ETH Zurich's Department of Computer Science, affiliated with the Institute of Programming Languages and Systems. His research focuses on quantum computing, probabilistic programming, neural network robustness, and privacy enforcement. He has contributed to the development of quantum languages like Silq and frameworks for certifying adversarial robustness in machine learning systems. His research interests include formal methods for programming languages, scalable symbolic reasoning, and applying probabilistic techniques to security and privacy. Recent work emphasizes robustness certification of neural networks and symbolic integration in machine learning. Key projects involve exact inference for probabilistic programs and differential privacy violation detection. Notable publications include work on quantum uncomputation, adversarial examples, and integrating logic into neural networks. No specific advising or grant details are provided in the text, but his involvement with the Institute of Programming Languages and Systems indicates active participation in academic collaborations and research teams.

• Computer Science
• Software Engineering
• Formal Verification
• +۳ مورد دیگر

Dr. Malte Schwerhoff is a Lecturer at the Department of Computer Science at ETH Zürich. His teaching responsibilities include courses such as Introduction to Programming , Software Engineering , and Preparatory Course in Computer Science . His research focuses on formal verification, automated reasoning, and symbolic execution techniques, with a particular emphasis on security protocols, programming languages, and compiler design. His work bridges theoretical computer science with practical applications in software engineering and cybersecurity. Research contributions span modular verification methodologies, permission-based reasoning frameworks, and the development of tools like Viper for static analysis. His studies address challenges in ensuring correctness and security in software systems through formal methods. Notably, his work on symbolic execution profiling and generalized magic wand support has advanced automated program verification techniques. While no awards or grants are explicitly listed in the provided texts, his active publication record reflects ongoing engagement with cutting-edge topics in computer science. Advising and lab affiliations are not detailed here, but his involvement in teaching and research underscores his role as an educator and scholar in computational theory and practice.

Andrea Bellèمشاهده پروفایل

پژوهشگر

• Energy Systems Engineering
• Resilience of Critical Infrastructures
• Optimization under Uncertainty
• +۳ مورد دیگر

Dr. Andrea Bellè is a Researcher at the Research Center for Energy Networks (FEN-ETH) at ETH Zürich since January 2024. His work focuses on optimizing resilience of critical infrastructures and energy systems through advanced modeling and optimization techniques. He holds a Ph.D. in Complex Systems Engineering from University of Paris-Saclay (2022), an M.S. in Nuclear Engineering from KTH Royal Institute of Technology and University of Paris-Saclay (2019), and a B.S. in Energy Engineering from University of Padua (2017). His current research emphasizes the RESAIL project collaboration with Swiss Federal Railways (SBB), developing strategies for energy transition and reliable demand fulfillment. Prior to ETH, he was a research engineer at Thales Group working on defense and space projects. Research interests include: resilience modeling of interdependent systems, optimization under uncertainty, and energy system design. His publications span applications in power networks, satellite constellations, and molten salt reactors. Key technical areas are multi-objective optimization, distributionally robust approaches, and vulnerability analysis. Advising: Currently focuses on postdoctoral research with no listed advisees. Grant activity includes FEN-funded initiatives. Lab affiliations: Primarily works within FEN-ETH's Research Center for Energy Networks and collaborates with industry partners like SBB on applied energy transition projects.

• Informatics Education
• Algorithms
• Computer Science Education
• +۳ مورد دیگر

Regula Lacher is a Researcher at ETH Zürich’s Department of Computer Science, affiliated with the Professorship for Algorithms and Didactics. Her work focuses on advancing computer science education through innovative pedagogical methods, emphasizing algorithm design, problem-solving techniques, and the integration of computational thinking into K-12 curricula. She specializes in developing tangible, non-digital teaching tools and game-based approaches to enhance abstract concept comprehension. Her research explores how informatics education can improve general educational outcomes, particularly through constructive induction and genetic Socratic methodologies. She has contributed to curriculum design frameworks for both Swiss Maturität and international K-12 systems, advocating for cross-disciplinary learning and teacher training programs. Publications span topics like robotics-based programming, cybersecurity education, and multilingual educational materials. Key themes include bridging concrete and abstract learning, promoting equity through accessible resources, and leveraging historical pedagogical tools like LOGO in modern classrooms. Her work addresses challenges in standardizing informatics education while maintaining adaptability for diverse cultural and linguistic contexts, as seen in her French and Italian language publications.