جستجوی استاد راهنمای دانشگاهی

Jürgen Bernardمشاهده پروفایل

استادیار

• Visual Analytics
• Information Visualization
• Interactive Machine Learning
• +۶ مورد دیگر

Jürgen Bernard is an Assistant Professor of Computer Science at the University of Zurich (UZH), affiliated with the Digital Society Initiative (DSI). He leads the Interactive Visual Data Analysis (IVDA) Group and holds a joint position in the Department of Informatics within the Faculty of Business, Economics, and Informatics. His research focuses on interactive visual data analysis, explainable machine learning, and human-centered AI interfaces. Bernard completed his PhD at TU Darmstadt in 2015, followed by postdoctoral roles at TU Darmstadt and the University of British Columbia. He has received prestigious awards, including the EuroGraphics Young Researcher Award (2022) and EuroVis Young Researcher Award (2021). His work emphasizes combining human expertise with algorithms in domains like healthcare, climate science, and digital humanities. Key research interests include visual analytics for time-oriented data, interactive machine learning, and applications in healthcare. His projects address challenges such as medical data interpretation, sensor data analysis, and decision-making support systems. Bernard actively contributes to conferences like IEEE VIS and chairs workshops such as VAHC 2023. Education: PhD in Computer Science (2015, TU Darmstadt); Diploma in Computer Science (2009, TU Darmstadt) Grants: SNF Grant on Personalized Visual Analytics (2024), BMW collaboration on manufacturing analytics Labs/Teams: IVDA Group, DSI Health Community

• Human-Computer Interaction
• Digital Transformation
• User Experience Design
• +۶ مورد دیگر

Professor Maurizio Caon is a faculty member at HES-SO (University of Applied Sciences and Arts Western Switzerland). His primary research areas include Human-Computer Interaction, Digital Transformation, and User Experience Design, with a focus on aging populations and health technology. He leads the HumanTech Institute and contributes to projects like NESTORE COACH and PEGASO, which develop virtual coaching systems for elderly well-being and adolescent health behavior change. His research explores tangible interfaces for e-coaching, gestural interaction design for professional cyclists, and data privacy mechanisms using pictograms. While his publications span topics from AI implementation in HRM to posthumanist perspectives on enhancement, his core work centers on applying digital technologies to improve health outcomes across age groups. He collaborates with institutions like Politecnico di Milano and contributes to European Union-funded initiatives. Professor Caon's recent work examines conversational agents for life-course health interventions, virtual reality exergame design, and wearables' impact on body awareness. His projects integrate behavioral change theories with IoT architectures and human-centered design principles. Despite active research engagement, no scientific awards are explicitly mentioned in the provided texts.

Roberto Calandraمشاهده پروفایل

استاد

• Robotics
• Machine Learning
• Tactile Sensing
• +۳ مورد دیگر

Roberto Calandra is a Full (W3) Professor at Technische Universität Dresden, where he leads the Learning, Adaptive Systems and Robotics (LASR) Lab. Previously, he served as a Research Scientist at Meta AI (formerly Facebook AI Research) and a Postdoctoral Scholar at UC Berkeley’s BAIR Lab under Sergey Levine. His academic journey includes a PhD in Robotics from TU Darmstadt, an M.Sc. in Machine Learning from Aalto University, and a B.Sc. in Computer Science from Università di Palermo. His research bridges Robotics and Machine Learning, focusing on tactile sensing, Bayesian Optimization, and model-based reinforcement learning. He pioneered the DIGIT tactile sensor , now the most widely used tactile sensor in robotics, and advocates for a computational field of Touch Processing to advance haptic understanding. His work emphasizes data-efficient learning, real-world dexterous manipulation, and multimodal perception. Recent publications highlight breakthroughs in tactile sensor design, in-hand object manipulation, and multimodal integration. He organizes workshops on robotics and machine learning (e.g., at NeurIPS, ICRA) and promotes open-source tools like PyTouch and TACTO .

Andreas Güntnerمشاهده پروفایل

استادیار

• Chemical sensing
• Gas sensors
• Microfabrication
• +۳ مورد دیگر

Andreas Güntner is an Assistant Professor at ETH Zürich's Department of Mechanical and Process Engineering and a research associate at the University Hospital Zürich's Endocrinology, Diabetes and Clinical Nutrition department. His interdisciplinary research integrates physics, chemistry, and medicine to develop micro/nanosystems for chemical sensing, with applications in healthcare and environmental monitoring. Research focuses on creating innovative sensor technologies from concept to validated devices, particularly chemoresistive gas sensors and handheld detectors. Recent breakthroughs include selective benzene and methanol detection systems, breath analyzers for metabolic monitoring, and nanoparticle-based sensors fabricated via flame synthesis. Publications demonstrate expertise in nanomaterials engineering for molecular sensing, with applications spanning medical diagnostics (breath analysis for diabetes) to environmental protection (air quality monitoring). His group develops complete sensing systems from fundamental material science to portable device implementation. Honors include the De Vigier Award (2022), ERC Starting Grant (2022), and ETH Medal for outstanding PhD (2017). Patents cover handheld detection devices for toxic compounds in consumer products.

• Semantic Web and Ontology Engineering
• Agent-Based Modeling
• Knowledge Graphs
• +۴ مورد دیگر

Giovanna Di Marzo Serugendo is a researcher affiliated with the University of Geneva (Faculty of Social Sciences, Centre for Informatics) and the Institute of Information Service Science (ISS) . Her work spans semantic technologies, agent-based modeling, and sustainable systems. Research interests focus on Semantic knowledge graphs for regulatory compliance Ontology-driven resource management Self-organizing systems inspired by biological models AI applications in smart grids and urban mobility Digital agriculture platforms for smallholder farmers Recent publications highlight trends in ontology automation using LLMs, agent-based simulations for urban planning, and KG-enhanced compliance frameworks . She leads projects integrating digital twins with smart energy systems and develops bio-inspired coordination paradigms. Supervised works include 17 research projects in these domains. Current technical reports and conference papers explore cybersecurity-safety interdependencies in autonomous vehicles and decentralized event source detection in sensor networks.

• Affective Computing
• Emotion Recognition
• Brain-Computer Interfaces
• +۳ مورد دیگر

Guillaume Chanel is a researcher at the University of Geneva, affiliated with the Department of Computer Science under the Faculty of Sciences, and the Centre interfacultaire en sciences affectives. His work spans affective computing, emotion recognition, and physiological signal analysis in human-computer interaction contexts. Affective Computing Emotion Recognition Brain-Computer Interfaces Multimodal Interaction Physiological Computing Human-Computer Interaction Chanel's research focuses on integrating physiological signals (e.g., EEG, electrodermal activity) with computational models to enhance emotion detection and adaptive systems. Recent work includes attention mechanisms in U-Net for medical imaging, variational autoencoders for PPG denoising, and biofeedback-driven gaming systems. His publications emphasize multimodal fusion, transfer learning, and latent representation techniques. His 15 most recent articles (2025–2020) analyze advanced deep learning architectures for emotion and impression recognition, physiological signal processing, and adaptive game design. Key themes include attention mechanisms, variational autoencoders, multimodal synchronization, and biofeedback applications. Chanel collaborates with the Computer Vision and Multimedia Laboratory and the Centre universitaire d'informatique, contributing to open datasets and tools like the Toolbox for Emotional feAture extraction from Physiological signals (TEAP).

• Food Chemistry
• Flavor Science
• Sensory Analysis
• +۳ مورد دیگر

Imre Blank serves as a Lecturer in the Department of Chemistry and Chemical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences. His research focuses on food chemistry and flavor science, particularly investigating taste-active compounds, aroma perception mechanisms, and sensory evaluation of food products. His recent work explores umami taste perception through EEG-based brain rhythm analysis Computational modeling of taste peptides Multi-omics characterization of odorants in plant-based and traditional foods Mechanistic studies of saltiness enhancement by volatiles His publications emphasize analytical chemistry techniques like LC–MS and GC-IMS for flavor profiling. Current research trends examine the molecular dynamics of odorant release, biosensor development for taste detection, and sustainable flavor production inspired by natural processes. He also investigates the impact of processing conditions on coffee aroma formation and bitterness reduction.

Reto Huberمشاهده پروفایل

استاد

• Pediatric Neuroscience
• Sleep EEG Research
• Cognitive Development
• +۴ مورد دیگر

Prof. Dr. Reto Huber is a leading researcher in Developmental Pediatrics , focusing on sleep neuroscience, EEG dynamics, and cognitive development. His work bridges pediatric neurology with advanced neurostimulation techniques. Key affiliations: Zurich University Children's Hospital (inferred from context) Research areas: Sleep EEG modulation, memory consolidation, psychiatric sleep links, and neurodevelopmental disorders Research Highlights : Recent studies explore auditory stimulation to enhance slow-wave sleep in Parkinson's patients, fractal sleep cycle modeling, and the impact of 5G electromagnetic fields on EEG patterns. His projects also address sleep-cardio interactions in aging populations and trauma memory processing during NREM sleep. Article Trends : A focus on targeted auditory stimulation (7/15), sleep-related memory processing (6/15), and clinical sleep applications (5/15) emerges. Cross-disciplinary work connects neurology , psychiatry , and cardiology through sleep biomarkers.

Ali Meimandiمشاهده پروفایل

پژوهشگر

• Analog circuit design
• Biomedical circuits and systems
• Ultra-low-power integrated circuits
• +۴ مورد دیگر

Ali Meimandi is a Doctoral Assistant and candidate in the Doctoral Program in Microsystems and Microelectronics at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He conducts research in the BioCMOS Interfaces (BCI) Laboratory within the Institute of Electrical Engineering and Microengineering, School of Engineering, focusing on ultralow-power biomedical integrated circuits. His educational background includes: M.Sc. in Electronics Engineering from Politecnico di Milano (2022) B.Sc. in Electrical Engineering (Electronics) from Amirkabir University of Technology (2018) Meimandi's research centers on designing ultralow power and ultralow area analog/mixed-signal ICs for brain monitoring applications. His expertise spans biosensors, neural prosthesis, and miniaturized CMOS circuits, with emphasis on developing innovative biomedical systems that bridge electrical engineering with neuroscience. His work targets practical implementations for implantable and wearable health monitoring technologies. His publication record shows consistent advancement in miniaturized circuit design for biomedical applications, particularly in brain monitoring, sweat analysis, and hydration tracking systems. These works demonstrate his dual expertise in analog circuit design and biological interface implementation. Key recognition includes: 2024 IEEE Sensors Letters Best Paper Award for 'Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat' As a Teaching Assistant for Bio-nano-chip design (EE-517) and Analog circuits for biochip (EE-518), Meimandi contributes to EPFL's educational mission while advancing his research in active Bio/CMOS interfaces. His work in the BCI Laboratory focuses on heterogeneous integration of nanostructures for next-generation biosensors. The BioCMOS Interfaces Laboratory provides an interdisciplinary environment where Meimandi develops novel electronic-biological interfaces, with applications ranging from neural prosthetics to continuous health monitoring systems through innovative circuit architectures.

• Embedded Systems
• Brain-Machine Interfaces
• Energy-Efficient Computing
• +۲ مورد دیگر

Dr. Xi Wang is a Lecturer in the Department of Computer Science at ETH Zurich, specializing in energy-efficient embedded systems and wearable biomedical technologies. His research bridges hardware optimization and machine learning for real-world health applications. Key research areas include: Low-power neural network deployment for wearable medical devices Brain-machine interfaces with on-device learning Sensor fusion techniques for seizure detection Edge computing architectures for physiological monitoring His work demonstrates strong emphasis on algorithmic efficiency and hardware co-design for constrained devices. Dr. Wang teaches courses on embodied intelligence and computer architecture, focusing on practical implementations of advanced computing concepts.

Daniel Hunkelerمشاهده پروفایل

استاد

• Environmental Hydrochemistry
• Contaminant Transport
• Groundwater Quality
• +۶ مورد دیگر

Prof. Daniel Hunkeler is a Full Professor of Hydrochemistry and Contaminants at the University of Neuchâtel's Faculty of Science, leading the Laboratory of Hydrochemistry and Contaminants within the Centre for Hydrogeology and Geothermics. He holds a PhD from ETH Zurich and completed postdoctoral research at the University of Waterloo, Canada. His research focuses on chemical and microbial behavior in aquifers, employing advanced analytical techniques like compound-specific isotope analysis and tracing methods. Key areas include pesticide metabolite transport, PFAS fate, and interactions between hydrological and biogeochemical processes in drained organic soils. Recent projects investigate: Pesticide metabolite persistence in soil-groundwater systems PFAS migration from soil to groundwater Nitrate leaching dynamics in agricultural settings Microbial activity at river-aquifer interfaces Teaching responsibilities include courses in hydrogeochemistry, contaminant hydrogeology, and tracer applications at both bachelor's and master's levels. He directs the University of Neuchâtel's 20-year-old continuing education program on contaminated site management and advises governmental agencies on groundwater policy. Professional roles include vice-directorship of the Swiss Society for Hydrogeology and membership in water quality commissions. Research outputs emphasize interdisciplinary approaches, combining field monitoring with modeling to address water quality challenges. Publications from 2023-2025 highlight innovations in noble gas tracers, microbial cytometric analysis, and climate change impacts on groundwater systems.

Chen Lingxinمشاهده پروفایل

استاد

• Environmental Microanalysis
• Monitoring Technology
• Bionano Sensor Techniques
• +۹ مورد دیگر

Chen Lingxin is a Professor and PhD supervisor at the Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, where he has been working since 2009 after serving as a Research Professor at Hanyang University's Department of Applied Chemistry from 2007-2009. His research focuses on developing innovative environmental analysis and monitoring technologies specifically for coastal zones. His primary research areas include: Bionano sensor techniques combining aptamers with nanomaterials for environmental pollutant analysis Chromatographic microanalysis techniques for trace analysis of environmental pollutants Opto-electronic monitoring techniques for oceanic water environment Pollutant identification, analysis, and assessment technology Ecological environment monitoring and surveillance technology Simulation of offshore environmental pollution processes and ecological restoration Professor Chen leads the innovative research team of 'Coastal Environmental Analysis, Monitoring and Ecological Restoration,' which strategically combines basic research with applied research and technology transformation across analytical chemistry, environmental science, marine chemistry, and ecological restoration engineering. His publications focus on marine environmental analysis and nanoanalysis methods, demonstrating expertise in developing new principles, methods, and instrument technologies for environmental monitoring of coastal pollutants including inorganic ions, persistent organic pollutants, and pathogens. He has successfully secured multiple national and ministry-level research projects spanning microfluidic chip SERS sensing technology, microbial metabolism of pollutants, and seawater nutrient monitoring systems. Professor Chen actively mentors graduate students in Environmental Engineering, Environmental Science, and Marine Chemistry, with a research group that welcomes students from chemistry, biology, and instrumentation backgrounds. His laboratory specializes in environmental microanalysis with capabilities in optical/electrochemical sensor development, microfluidic technologies, and marine pollution assessment for applications in coastal zone management.

• Peroxisome Biology
• Protein-Protein Interactions
• Structural Biology
• +۵ مورد دیگر

Dr. Stefan Gaussmann serves as a Researcher within the Department of Biology at ETH Zurich, affiliated with the Professorship for Biomolecular NMR. His work focuses on elucidating molecular mechanisms of peroxisomal protein import through structural and biophysical approaches, with significant contributions to understanding PEX protein interactions and peroxisome biogenesis. His research spans Peroxisome Biology, Protein-Protein Interactions, and Structural Biology, leveraging NMR spectroscopy to investigate conformational dynamics of peroxins like PEX5, PEX13, and PEX14. Current interests include phase separation phenomena (e.g., SMNDC1 perturbation), glycosome biogenesis in trypanosomatid parasites, and development of novel tools for protein interaction analysis such as modular nanoparticle sensors and sortase-based ubiquitin engineering. Analysis of his 12 publications (2019-2025) reveals consistent emphasis on molecular recognition motifs in peroxisomal import machinery, with recent expansion into pharmacological targeting of phase-separated proteins and parasite-specific peroxin interactions. His work bridges fundamental structural biology with therapeutic applications for peroxisome-related disorders. As part of ETH Zurich's Biomolecular NMR group, Dr. Gaussmann contributes to a collaborative research environment focused on advanced biophysical characterization of biomolecular systems, utilizing facilities at the Hönggerberg campus.

• Drug Discovery
• Biosensors
• Implantable Medical Devices
• +۳ مورد دیگر

Andrea Cavalli is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with both the VPA-AVP-CP CECAM-GE unit and the School of Basic Sciences (SB) within the ISIC department (SB-CECAM). His research focuses on advanced biosensor technologies, implantable medical devices, and personalized medicine applications. He teaches a course on drug discovery, emphasizing computational methods for drug design and pharmacokinetics. Key research interests include nanotechnology-driven biosensors, biocompatible materials for implantable devices, and multiplexed detection systems for infectious diseases. Cavalli leads projects on in vivo validation of biochips for metabolic monitoring and integrates electrochemical sensors with circuit design for real-time diagnostics. His work spans from fundamental material science to clinical translation, with a focus on HIV/tuberculosis diagnostics and chronic disease management. PhD Student: Alessia Ghidini Lab: CECAM (European Center for Atomistic and Molecular Simulations) Key collaborations: Molecular diagnostics platforms, nanomaterials for bioelectronics Publications highlight innovations in nanoplasmonic biosensors, biocompatible packaging solutions, and CNT-based bioelectronics. Ongoing work explores remote patient monitoring systems and multipanel biosensors for personalized therapy optimization.

Seonwook Parkمشاهده پروفایل

پژوهشگر

• Eye Tracking
• Deep Learning
• Gaze Estimation
• +۳ مورد دیگر

Seonwook Park is a Researcher at Lunit Inc. , focusing on advancing eye-tracking technology through deep learning. He earned his PhD in June 2020 from ETH Zurich 's Department of Computer Science under the supervision of Prof. Dr. Otmar Hilliges. His research bridges eye tracking and deep learning , aiming to make eye-tracking accessible in uncontrolled, everyday environments. This includes gaze estimation from monocular RGB images, real-time 3D gaze tracking, and self-learning transformations for gaze redirection. His work often intersects with computer vision and human-computer interaction , as seen in his contributions to UI adaptation via eye movement analysis. His publication record spans top conferences like NeurIPS , ECCV , and ICCV , reflecting expertise in gaze estimation , hand pose estimation , and visual SLAM . Notably, he won the Best Presentation Award at ETRA 2018 . He has supervised multiple theses, including MA and BA projects, and served as a teaching assistant for courses such as Machine Perception and Human-Computer Interaction at ETH Zurich.