جست‌وجوی استاد و پژوهشگر

Dario Floreanoمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Bio-inspired Robotics
• +۴ مورد دیگر

Prof. Dario Floreano serves as Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), directing the Laboratory of Intelligent Systems within the School of Engineering's Institute of Microengineering. He maintains additional teaching appointments in Microengineering, Mechanical Engineering, and the Doctoral School, while serving on EPFL's Committee of Academic Evaluation. His academic credentials include: M.A. in Vision M.S. in Neural Computation PhD in Robotics Research at the convergence of biology and engineering defines Prof. Floreano's work, with pioneering contributions across multiple robotics domains. His laboratory specializes in bio-inspired approaches that transform theoretical concepts into functional systems: Aerial Robotics : Avian-inspired morphing wings/tails for agile drone flight Evolutionary Robotics : Algorithmic co-design of morphology and control Soft Robotics : Transient edible systems and variable-stiffness mechanisms Swarm Intelligence : Emergent control through Hebbian learning Medical Robotics : Fiber-jamming catheters for cardiac procedures Recent publications (2024-2025) reveal three dominant trajectories: (1) biomimetic aerial systems with avian-inspired morphing capabilities for energy-efficient flight, (2) transient edible robotics using biodegradable materials for environmental/medical applications, and (3) advanced variable-stiffness mechanisms enabling new medical interventions. These themes reflect his consistent focus on bio-inspired solutions to engineering challenges. His scientific impact is recognized through prestigious honors: 2000: SNSF Assistant Professorship (Swiss National Science Foundation) 2021: Fellow of the ELLIS Society 2022: IEEE Fellow (Robotics and Automation Society) 2024: Julian Francis Miller Award (The Species International Society) As mentor to 44+ PhD students and founding director of Switzerland's National Center of Competence in Robotics (2010-2022), Prof. Floreano has shaped robotics education through EPFL's Master's program and Swiss Robotics Day. His research leadership generated 15+ spinoffs (including senseFly and Flyability) and secured major grants from Swiss National Science Foundation and European Commission programs. The Laboratory of Intelligent Systems maintains strong industry partnerships while advancing fundamental research in embodied intelligence, with current projects focusing on edible robotics, swarm autonomy, and bio-hybrid systems for medical applications.

Marcel Rupfمشاهده پروفایل

مدرس

• Signal Processing
• Electronics
• Wireless Communications

Marcel Rupf is a Lecturer at the Zurich University of Applied Sciences (ZHAW) School of Engineering, specializing in the Institute of Signal Processing and Wireless Communications. He has held leadership roles including Head of the Institute (ISC) and Head of the Center for Signal Processing and Communications Engineering (ZSN) since 2017. Education: ETH Zürich (Master in Electrical Engineering 1981-1987, PhD in Signal and Information Processing 1987-1993) His research focuses on applied digital signal processing and wireless communication systems, spanning industrial applications like Bluetooth-enabled distance measurement devices, mobile laser scanning for railway infrastructure, and wireless data acquisition systems with cloud integration. Earlier work addressed CDMA-based cellular systems, radar sensors, and binary sequence optimization. Recent publications highlight his expertise in wireless sensor networks, embedded systems, and smart connectivity solutions across engineering disciplines. He has contributed to projects such as WLAN Fingerprinting and developed technologies for real-time data capture and transmission.

• Robotics
• Mechanical Engineering
• Energy Engineering
• +۳ مورد دیگر

Christoph Eck serves as a Professor at the Institute of Mechanical and Energy Engineering within the School of Engineering & Architecture at Lucerne University of Applied Sciences and Arts (HSLU) in Horw, Switzerland. His office is located in Room E309 at Technikumstrasse 21, with direct contact via +41 41 349 33 85. His research expertise spans Robotics, Mechanical Engineering, and Energy Systems with emphasis on practical implementations. Key initiatives include: SITA Better World Robotics for environmental sustainability Robot-based vegetation control in railway track maintenance Virtual Lucerne Robotics Center (vLRC) as a collaborative digital platform Energy-efficient wellness technologies development High-voltage line inspection robotics Earth's magnetic field recording systems While his 2009 publication on FPGA timing parameters indicates foundational work in digital design, current research demonstrates a strategic pivot toward applied robotics and energy solutions. This evolution reflects a strong focus on real-world engineering challenges with societal impact, particularly in infrastructure maintenance and sustainable technology. Professor Eck secures ongoing research funding across multiple projects, with the virtual Lucerne Robotics Center representing a cornerstone initiative for future innovation. His work actively bridges academic research and industrial applications through the Institute of Mechanical and Energy Engineering's CC Mechanical Systems division.

Mario Paoloneمشاهده پروفایل

استاد

• Power Systems
• Smart Grids
• Renewable Energy Integration
• +۵ مورد دیگر

Mario Paolone is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) , leading the Distributed Electrical Systems Laboratory (DESL) within the School of Engineering (STI). His work focuses on smart grid technologies, power system dynamics, and renewable energy integration. Chair of DESL Teaching roles in Electrical and Electronic Engineering PhD Program Committee Member, Doctoral Program Energy EPFL Academic Strategic Committee Member His research spans real-time monitoring , optimal grid operation , and advanced protection techniques for power systems. Key contributions include PMU-based situational awareness and convex optimization methods for Active Distribution Networks. Recent work explores hybrid AC/DC grids , linear induction motors for transportation, and machine learning applications in energy systems. Notable scientific awards include: IEEE Fellow (2022) Richard B. Schulz Best Paper Awards (2017, 2018, 2020) IEEE EMC Technical Achievement Award (2013) He has supervised numerous PhD theses on grid-aware control , synchrophasor technologies , and renewable energy systems , with research sponsored by the Swiss National Science Foundation , Swiss Electric Research , and the European Union .

Jérôme Henri Kämpfمشاهده پروفایل

مدرس

• Urban Physics
• Modelling, simulation and optimisation
• Building Energy Efficiency
• +۸ مورد دیگر

Jérôme Henri Kämpf is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI), Institute of Electrical Engineering (IEM), and the Laboratory of Intelligent Systems (LIDIAP). He also serves as a Senior Research Scientist in Energy Informatics at the Idiap Research Institute. His academic career spans roles at EPFL’s LESO-PB laboratory, including PhD student, post-doc, and team leader in sustainable urban development and urban systems simulation, followed by a professorship in Building Energy Efficiency at HEIA-FR (HES-SO Fribourg) from 2016 to 2018. PhD in On the Modelling and Optimisation of Urban Energy Fluxes, EPFL, 2009 Master in Pedagogics, Haute Ecole Pédagogique Lausanne, 2005 Master in Computer Science, University of Lausanne, 2003 Master in Physics, University of Lausanne, 2001 His research focuses on urban physics, modeling, simulation, and optimization of urban energy systems, daylighting, thermal comfort, and sustainable urban design. He has made significant contributions to urban energy simulation tools such as CitySim, BTDF-based daylight modeling, and real-time photometric systems. His work bridges computer science, physics, and building engineering to develop data-driven solutions for urban sustainability. The 15 most recent publications highlight a consistent focus on urban energy modeling, daylight simulation, and thermal comfort. Key themes include the integration of HDR sky monitoring for daylight control, urban greening for cooling, and parametric interfaces for urban simulation. His research employs advanced computational methods, including evolutionary algorithms and wavelet transforms, applied to building and urban-scale energy performance. He has advised several PhD students, including Chantal Basurto Dávila, Silvia Coccolo, Diane Perez, and Yujie Wu. While no formal scientific awards are listed, his extensive publication record in high-impact journals and conferences reflects strong scholarly recognition. He has been involved in significant research grants and collaborative projects related to urban sustainability, energy informatics, and climate-responsive design. Kämpf is associated with key research teams including the LESO-PB laboratory at EPFL and the Idiap Research Institute. His work in the Urban Systems Simulation team and contributions to the CitySim platform demonstrate leadership in integrating simulation tools into architectural and urban design workflows.

• Data Management
• Big Data Systems
• Knowledge Graphs
• +۱۲ مورد دیگر

Philippe Cudré-Mauroux is a Full Professor in the Department of Computer Science at the University of Fribourg, affiliated with the Faculty of Science and Medicine. His research spans data management, big data systems, knowledge graphs, semantic web, and human-AI collaboration. His primary research interests include Data Management , Big Data Systems , Knowledge Graphs , Time Series Analytics , Database Systems , Human-AI Collaboration , and Machine Learning for Data Cleaning . His work integrates theoretical database research with practical applications in smart cities, social media, and healthcare analytics. The recent publications reflect a strong trend toward knowledge graph embeddings , large language models for data quality , time series benchmarking , and human-in-the-loop systems . His research combines symbolic and neural methods, emphasizing schema awareness, explainability, and real-world deployment. He actively supervises numerous PhD and Master’s students and collaborates widely across institutions. His group contributes to open-source tools and benchmarking frameworks for database and AI systems.

Rishabh Iyerمشاهده پروفایل

استادیار

• Computer Systems
• Performance Analysis and Optimization
• Operating Systems
• +۵ مورد دیگر

Rishabh Iyer is an Assistant Professor in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley. His research bridges computer systems, networking, and formal methods with a focus on performance predictability and reliability. Prior to Berkeley, he completed his PhD at EPFL and undergraduate studies at IIT Bombay. His educational background includes: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL) Bachelor's degree from Indian Institute of Technology Bombay (IIT Bombay) Iyer's research centers on performance interfaces for computer systems – creating succinct abstractions that allow engineers to reason about system performance without understanding implementation details. His work spans three major directions: (1) Extracting performance interfaces from implementations, (2) Designing systems with predictable performance, and (3) Formally verifying performance claims. This research combines operating systems, networking, computer architecture, and formal verification techniques to address performance unpredictability in modern systems. His group develops tools like PIX for network functions, KFlex for kernel extensions, and Software LPN for hardware accelerators. His publications reveal strong focus on performance modeling for network functions, kernel extensions, and hardware accelerators, with recent work expanding into real-time systems and SD-WAN validation. The research consistently targets practical impact, with deployments at companies like Meta and Alibaba. Scientific recognition includes: ACM SIGOPS Dennis M. Ritchie Award Eurosys Roger Needham PhD Award Dimitris N. Chorafas Award Best Paper at VDAT 2019 Iyer actively advises students at UC Berkeley and teaches courses including CS 294-262 (Performance Analysis) and CS 168 (Internet Architecture). Previously at EPFL, he taught Principles of Computer Systems, Software Engineering, and Vector Calculus. His group seeks talented students interested in building reliable, high-performance systems. Current research directions include performance interfaces for distributed applications, next-generation kernel extensions, and formally verified network systems. He leads research within UC Berkeley's systems community and maintains strong connections with EPFL's Dependable Systems Lab where he completed his PhD.

• Graph Machine Learning
• Signal Processing
• Higher-Order Networks
• +۵ مورد دیگر

Elvin Isufi is an Associate Professor at the Delft University of Technology (TU Delft) , where he co-founded and co-directs AIdroLab , one of the 24 TU Delft AI Labs. His research focuses on fundamental and applied graph-based data processing with applications to water networks, flood modeling, infrastructure systems, and recommender systems. Elvin obtained his Ph.D. from TU Delft in graph signal processing and completed his master's and bachelor's studies at the University of Perugia in Italy. He has been mentored by renowned academics including Prof. Alejandro Ribeiro (postdoc), Prof. Geert Leus (Ph.D.), and Prof. Paolo Banelli (master's/bachelor's). His research integrates signal processing , machine learning , and mathematical modeling to develop techniques for graph signal processing, graph neural networks (GNNs), and higher-order network analysis. Key application domains include water distribution networks , flood modeling , and recommender systems . His work addresses critical challenges such as stability analysis of GNNs, dynamic graph processing , and physics-informed machine learning . Recent publications highlight advancements in multi-scale hydraulic GNNs for flood prediction, carbon footprint-aware recommender systems , and simplicial vector autoregressive models for edge flow analysis. His research group includes Ph.D. students like Bishwadeep Das and M.Sc. students exploring topics such as online edge flow prediction and topological signal processing . 2021: Audience Choice Award, IEEE Data Science and Learning Workshop 2022: Best Student Paper Award, IEEE DSLW 2023: Top 3% Recognition Award, ICASSP Elvin actively supervises students in graph machine learning projects, emphasizing requirements like Python and PyTorch/TensorFlow expertise . He provides structured thesis project themes covering dynamic graph analysis , physics-informed GNNs , and self-supervised learning for networked data.

• Systems Neuroscience
• Animal Behavior
• Computer Vision
• +۴ مورد دیگر

Mackenzie Mathis is a Tenure Track Assistant Professor and Bertarelli Foundation Chair of Integrative Neuroscience at the Brain Mind Institute (BMI) of EPFL. She leads the UPMWMATHIS Lab, focusing on understanding neural circuits underlying adaptive behavior and developing AI tools like DeepLabCut and CEBRA. Her work bridges machine learning and neuroscience, with expertise in systems neuroscience, animal behavior, and computer vision. Education: PhD in Neuroscience, Harvard University (2017) Research Interests: Her lab explores motor learning, sensorimotor control, and neural dynamics. Key tools include markerless pose estimation (DeepLabCut), latent embedding analysis (CEBRA), and generative AI for behavioral studies. Projects span from mouse behavior assays to ethical AI applications in conservation. Publications: Recent work includes advancements in robust ML systems, pre-trained pose models (SuperAnimal), and neural-latent dynamics analysis. Her lab’s tools are widely adopted in neuroscience and robotics. Awards: Swiss Science Latsis Prize (2024) Eric Kandel Young Neuroscientist Prize (2023) FENS EJN Young Investigator Prize (2022) Vallee Scholar & ELLIS Scholar Advising & Grants: Current PhD students include Célia Benquet, Hossein Mirzaei, and others. Grants include SNSF Starting Grant (1.5M CHF) and CZI funding for open-source tools. Collaborates with robotics and conservation initiatives. Labs & Teams: The UPMWMATHIS Lab at EPFL Biotech Campus integrates computational and experimental neuroscience. Tools like AmadeusGPT and CEBRA are developed here, supported by interdisciplinary teams.

Simon Mayerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Pervasive Computing
• Autonomous Systems
• +۷ مورد دیگر

Prof. Simon Mayer is a Full Professor and Chair of Interaction- and Communication-based Systems at the University of St. Gallen (HSG). He leads a research group focusing on technology-mediated interactions in socio-technical systems, including pervasive computing, human-robot interaction, and web-based multi-agent systems. His work emphasizes ethical design, responsible AI, and the integration of autonomous systems into everyday environments. He teaches courses on ubiquitous computing, distributed systems, and introductory computer science for business students. Research interests span IoT, embedded systems, and smart environments. He advises PhD students in domains like pediatric nerve imaging, systemic risks in social media algorithms, and mixed reality privacy. Collaborations include projects with the Children’s Hospital of Eastern Switzerland and industry partners. His group’s publications address topics like perceptual filter bubbles, ad-blocking in XR, and energy-efficient sensor networks. Awards include an Honorable Mention at DIS '25 for co-authored work on personalized realities. He maintains active industry engagement through research entrepreneurship, exploring commercial applications of robotics and healthcare tech. His lab supports over 20 ongoing student theses annually and collaborates across disciplines, combining computer science with legal and social sciences to address systemic platform risks.

• Embedded Systems
• Real-Time Operating Systems
• Microcontroller Programming
• +۲ مورد دیگر

Erich Styger serves as Lecturer and Researcher at Lucerne School of Engineering and Architecture's Institute of Electrical Engineering. Since 2008, he has taught courses including Advanced Embedded Systems, Real-Time Operating Systems, and Microcontroller Programming. His technical expertise spans embedded Linux, low-power applications, and industrial communication protocols. Research investigates security frameworks for microcontrollers, embedded system diagnostics, and robotic control systems. Styger coordinates the Computer Science profile in the Master of Science in Engineering program and maintains McuOnEclipse, an open-source platform for embedded development tools. Industry Experience: Former development roles at HIWARE AG, Freescale Semiconductor Awards: Community Choice and Favorite Project awards from SourceForge Projects: Forensic analysis of GPS devices, light-dosimeter development, digital forensics

Thomas Markus Gemppمشاهده پروفایل

مدرس

• Electrical Engineering
• Information Technology
• Computer Engineering
• +۳ مورد دیگر

Dr. Thomas Markus Gempp serves as a Lecturer at the Department of Information Technology and Electrical Engineering within ETH Zurich, maintaining professional correspondence through the university's institutional email system. His academic expertise spans the interdisciplinary domains of Electrical Engineering and Information Technology, with concentrated research activity in specialized areas including: Computer Engineering Embedded Systems Signal Processing Information Systems Hardware-Software Integration Real-Time Computing No scientific awards, fellowships, or professional honors were documented in the available institutional records. There is no evidence of graduate student mentorship activities or externally funded research initiatives within the provided materials. Details regarding laboratory facilities, research collectives, or collaborative technical teams were not specified in the source documentation.

Alexander Ilicمشاهده پروفایل

مدرس

• Artificial Intelligence
• Computer Vision
• Entrepreneurship
• +۳ مورد دیگر

Roles & Affiliations: PD Dr. Alexander Ilic is a Lecturer at the Department of Computer Science and Executive Director of the ETH AI Center at ETH Zürich. He co-founded the ETH AI Center and previously led Magic Leap Switzerland, focusing on R&D in Computer Vision and Advanced Photonics. He holds a PhD from ETH Zurich and a habilitation from the University of St. Gallen. Education: PhD in Computer Science, ETH Zurich Habilitation in Entrepreneurship, University of St. Gallen MSc in Computer Science, TU Munich Research Interests: Alexander’s work spans Artificial Intelligence, Entrepreneurship, and Technology Investing. He pioneered AI-driven start-ups like Dacuda (acquired by Magic Leap) and developed cutting-edge sensors and imaging systems. His research emphasizes real-time systems, computer vision applications, and wearable technology. Notable Achievements: Co-founder of Dacuda and Magic Leap Switzerland 两次获得“Entrepreneur of the Year”（2011年和2012年） Swiss Economic Award Over 50+ patents in imaging, AR, and sensor technology Courses Taught: Data Science Lab Technology Investing Patenting Digital Innovations Technology and Entrepreneurship Labs & Leadership: Leads the ETH AI Center, driving AI innovation and interdisciplinary projects. His teams focus on applied AI in real-time systems and cross-reality devices.

• Machine Learning
• Control Systems
• Computer Vision
• +۳ مورد دیگر

Hansjörg Gisler is affiliated with the Department of Integrated Systems at ETH Zürich, contributing to the Professorship for Digital Integrated Circuits and Systems. His research focuses on interdisciplinary applications of machine learning, control systems, and medical informatics. Key areas include 3D object detection using advanced neural networks, optimization algorithms for convex-concave problems, and IoT-driven medical diagnostic systems. He has collaborated extensively with researchers on projects involving deep learning frameworks for adverse condition detection, semantic segmentation, and adaptive control systems. Publications span topics like parameter-separable optimization methods, proximal Lagrangian techniques, and weakly-supervised learning for 3D point cloud processing. His work bridges theoretical advancements in optimization with practical applications in healthcare monitoring and autonomous systems. Gisler's contributions to real-time sleep apnea diagnosis and muscle fatigue detection systems highlight his commitment to biomedical engineering innovations. Collaborations with institutions like ETH Zürich's Institute for Integrated Systems underscore his role in fostering cross-disciplinary research.

Romain Jacobمشاهده پروفایل

مدرس

• Computer Networks
• Real-Time Systems
• Wireless Communication
• +۵ مورد دیگر

Romain Jacob is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich, where he also holds a postdoctoral researcher position in Prof. Laurent Vanbever's group. His research focuses on computer networks, real-time systems, and sustainable networking, with an emphasis on reproducible experimental design and open science advocacy. He completed his PhD under Prof. Lothar Thiele at ETH Zürich in 2019, followed by a visiting scholar position at UC Berkeley in 2014. His academic background includes a Master of Science in Engineering of Complex Systems from École Normale Supérieure de Cachan (now ENS Paris-Saclay). Key research interests include: Time-triggered wireless architectures for cyber-physical systems Energy-efficient networking and sustainability Reproducibility frameworks like TriScale Real-time communication protocols Notable contributions include the Best Paper Award at HotCarbon'24 for work on router energy optimization. He actively promotes open science through initiatives like the ORCID Researcher Advisory Council and serves as Editor-in-Chief for JSys. His teaching includes a master's lecture on Sustainable Networking, emphasizing practical applications and open educational resources. He collaborates with the Swiss Reproducibility Network (SwissRN) to advance rigorous research practices.