جست‌وجوی استاد و پژوهشگر

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

• Wearable Computing
• Human-Computer Interaction
• Machine Learning
• +۳ مورد دیگر

Silvia Santini is an Associate Professor at the Faculty of Informatics of USI since 2016, leading the People-Centered Computing Lab. Previously, she held roles at TU Dresden (2014–2016) and TU Darmstadt (2011–2014), focusing on embedded systems and wireless sensor networks. She completed her PhD at ETH Zurich in 2009 and earned a Telecommunication Engineering degree from Sapienza University of Rome (2004). Her research centers on wearable computing, human-computer interaction, and sensor networks applied to health monitoring, activity recognition, and physiological signal analysis. Notable projects include BiHeartS (bilateral heart rate monitoring) and studies on sleep quality using wearable devices. Key achievements include being ranked among the World’s top 2% of Scientists (2022) and securing grants for projects like XAI-FinCrime. She advises on PhD and postdoc positions, such as the 2025 Innosuisse-funded project in explainable AI for financial crime detection. Labs/Teams: People-Centered Computing Group (USI), collaborating on cross-disciplinary projects in pervasive computing and healthcare technology.

• Communication Security
• Embedded Systems Security
• Design of Embedded Systems
• +۴ مورد دیگر

Alberto Ferrante is a Lecturer and Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the IDSIA (Dalle Molle Institute for Artificial Intelligence) USI/SUPSI. His work bridges cybersecurity, embedded systems, and AI applications, particularly in IoT and pest control. He holds a PhD from Università degli Studi di Milano (2006) and an MSc from Politecnico di Milano (2002). Research Interests: Ferrante focuses on Secure communication protocols and embedded systems security Malware detection and resource-optimized hardware solutions Machine learning applications for IoT, including agricultural pest monitoring and healthcare diagnostics Cyber-physical systems design and security-enhanced embedded systems His publications emphasize practical implementations, such as AI-driven UAVs for pest control and low-power drone systems for environmental monitoring. He actively contributes to tech transfer projects with industry partners and participates in major conferences like ICC and Globecom as a TPC member. He teaches the Master’s course Edge Computing in the IoT and collaborates on hardware-software co-design for security-critical systems. His work often integrates real-world constraints like energy efficiency and computational resource limitations. Key contributions include frameworks for dynamic security adaptation in wireless sensor networks and hardware-accelerated security for embedded systems.

Francesca Dalia Faraciمشاهده پروفایل

مدرس ارشد

• Biomedical Signal Processing
• Medical Data Analysis
• Wearable Technology
• +۵ مورد دیگر

Francesca Dalia Faraci is a Senior Lecturer and Researcher at the Department of Innovative Technologies (DTI) of SUPSI. She holds a PhD in Electronics from the University of York (UK) and a Laurea in Physics from the University of Genoa (Italy). Her research focuses on biomedical signal processing, statistical data analysis, and wearable technology applications in healthcare. She leads projects such as Cardio MIPA (arrhythmia monitoring) and AutoPlay_DD (child development analysis via smart toys). Key contributions include developing algorithms for sleep staging, arrhythmia detection, and synthetic ECG generation. Awards include the GOSPEL and DoE School Certificates. She coordinates research projects and teaches courses in Physics and Applied Statistics. Education: PhD in Electronics (University of York, 2006), Laurea in Physics (University of Genoa, 2002) Roles: Senior Lecturer, Researcher, Project Coordinator Key Projects: Tackling teleWorking Impacts, my Doctor's Lifestyle (lifestyle medicine), Telemonitoring Breast Cancer Her research bridges AI and clinical practice, emphasizing ethical frameworks and complementarity between clinicians and AI systems. Recent work includes causal inference for sleep dynamics and bias quantification in healthcare algorithms.

• 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.

Julian Tachellaمشاهده پروفایل

پژوهشگر

• Signal Processing
• Machine Learning
• Computational Imaging
• +۵ مورد دیگر

Dr. Julian Tachella is a CNRS Research Scientist at the Sisyph Laboratory of École Normale Supérieure de Lyon, with co-founder/CSO roles at Blur Labs. His career spans signal processing, machine learning, and computational imaging, focusing on inverse problems and self-supervised learning. Affiliation: CNRS (French National Centre for Scientific Research), Sisyph Laboratory, École Normale Supérieure de Lyon Co-founder & CSO: Blur Labs (AI/Imaging startup) Research Interests: At the intersection of signal processing and deep learning , his work addresses imaging inverse problems through self-supervised methodologies (e.g., UNSURE, Generalized R2R) that eliminate ground-truth requirements. Key contributions include equivariant imaging frameworks for stability, spline sketches for photon-counting lidar compression, and uncertainty quantification techniques with equivariant bootstrapping. Recent Trends: 2025 publications emphasize lightweight architectures for multi-domain reconstruction (CT, super-resolution) and noise-agnostic SURE methods. 2024 works focus on audio declipping , compressed lidar , and nonlinear algorithm unrolling with applications in autonomous vehicles and medical imaging. Scientific Awards: Best Student Paper Award at ICASSP’22 Collaborations & Leadership: He leads the DeepInverse open-source project and develops algorithms for real-time 3D lidar reconstruction. His team includes researchers from University of Edinburgh and Grenoble INP, with applications in automotive lidar and underwater imaging.

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 .

• 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).

Mathias Kneubühlerمشاهده پروفایل

مدرس ارشد

• Remote Sensing
• Imaging Spectroscopy
• Earth Observation
• +۷ مورد دیگر

Mathias Kneubühler is a Senior Lecturer and Scientific Section Head of Remote Sensing Spectroscopy at the Department of Geography, Faculty of Science, University of Zurich. He leads the Spectroscopy Lab and has been a key figure in advancing imaging spectroscopy and Earth observation research. He is actively involved in international remote sensing initiatives, including serving as the Swiss ESA-DOSTAG Delegate and Co-Chair of the EARSeL Special Interest Group on Imaging Spectroscopy. PhD in Remote Sensing, University of Zurich (1997–2002) MSc in Geography, University of Zurich (1992–1996) His research focuses on imaging spectroscopy , spectro-directional measurements , and ecosystem monitoring , with applications in plant phenology , biodiversity assessment , and land surface dynamics . He investigates how multi-angular and hyperspectral data can improve the understanding of vegetation structure, function, and environmental responses. His work integrates field spectroscopy, airborne and satellite remote sensing, and advanced data processing techniques. The recent publications highlight a strong trend in imaging spectroscopy for ecological applications, including plant trait mapping , camouflage detection , tree species identification , and phenology modeling . These studies often involve UAV and satellite data fusion, BRDF correction, and machine learning, demonstrating interdisciplinary innovation in remote sensing science. Co-Chair, EARSeL Special Interest Group on Imaging Spectroscopy (2016–present) President, Swiss Commission for Remote Sensing (2015–2020) Swiss ESA-DOSTAG Delegate (2004–2024) He has supervised several PhD and Master’s students, including Marius Vögtli, Christian Rossi, and Mojdeh Miraki, contributing to the next generation of remote sensing scientists. His leadership in organizing scientific workshops and campaigns underscores his role in fostering collaborative research. He is associated with the Spectroscopy Lab at the University of Zurich, which conducts cutting-edge research in spectro-directional measurements and environmental monitoring.

• Mathematical Physics
• Differential Geometry
• Topology
• +۴ مورد دیگر

Prof. Alberto S. Cattaneo is a faculty member at the University of Zurich, affiliated with the Department of Mathematics. He holds the rank of Professor and has been actively involved in teaching and research since at least 1998. His research interests span mathematical physics, differential geometry, topology, and interdisciplinary areas like computational biology, genomics, and digital forensics. He has developed courses on topics such as field theory, quantum mechanics, and differential manifolds, reflecting his expertise in theoretical and applied mathematics. Prof. Cattaneo has contributed to numerous publications, including works on distributed genomic analysis, sensor pattern noise (PNU) in forensics, and algorithm optimization for big data frameworks like Hadoop and Spark. His work bridges pure mathematics with applications in bioinformatics and cybersecurity. Though no awards are explicitly mentioned, his extensive publication record and teaching roles highlight his academic standing. He maintains an active presence through courses and research collaborations, with no indication of part-time roles or retirement.

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.

• Human-Computer Interaction
• Automotive Engineering
• Virtual Reality
• +۴ مورد دیگر

Marine Capallera is a Researcher affiliated with the HumanTech - Technology for Human Wellbeing Institute at the University of Applied Sciences and Arts Western Switzerland (HES-SO). Her work focuses on Human-Vehicle Interaction (HVI), Virtual Reality (VR) applications for education and disability support, and driver state monitoring using physiological signals. She holds a PhD in Informatics from the University of Fribourg (2023), where her thesis addressed adaptive multimodal systems for driver supervision in automated vehicles. Her research spans projects like AdVitam (funded by Hasler Foundation), which explores collaborative driver-vehicle interaction models, and Pro-GIS, a VR initiative enabling social skills training for youth with intellectual disabilities. She collaborates with institutions like EPFL+ECAL Lab and the University of Fribourg, contributing to datasets on driver physiology and automated driving behavior. Key themes include: 1) Designing HVI systems that maintain driver situation awareness via ambient interfaces and physiological feedback; 2) Developing inclusive VR solutions for special needs populations; 3) Applying machine learning to classify driver states (fatigue, workload) using biometric data. Recent work emphasizes multimodal interaction in automated vehicles and cross-modal emotion integration in VR environments. Grants: Hasler Foundation-funded AdVitam project (2018-2021) Teams: Collaborates with Elena Mugellini, Quentin Meteier, and Omar Abou Khaled in automotive HVI research Labs: Leads VR training modules for nursing education and disability support

Viktor von Wylمشاهده پروفایل

استادیار

• Digital Health
• Epidemiology
• Public Health
• +۶ مورد دیگر

Professor Viktor von Wyl is an Assistant Professor with Tenure Track for Digital and Mobile Health at the University of Zurich's Faculty of Medicine. He is affiliated with the Institute for Implementation Science in Health Care and serves as a DSI professor within the Digital Society Initiative. Since October 2023, he has been a member of the Directorate of the Swiss School of Public Health. He leads the Swiss Multiple Sclerosis (MS) Registry at the Institute of Epidemiology, Biostatistics & Prevention, which combines citizen science with digital health methodologies to improve MS care. He holds a PhD in Epidemiology from ETH Zurich (2008) and a Master’s in Biology from the University of Basel (2002). His professional career includes roles as a data manager for an HIV cohort in Washington, D.C. (2002–2004), an HIV epidemiologist at University Hospital Zurich (2004–2010) and University College London (2010–2011 with SNF support), and a Senior Researcher at the CSS-Institute in Luzern (2011–2014), focusing on end-of-life care and risk adjustment. His research interests prioritize digital epidemiology methodology, including the integration of digital data and citizen science. He explores text analysis via crowdsourcing, public trust in health systems, and factors influencing health behaviors, such as adherence to preventive measures during pandemics. His work addresses challenges in chronic disease management (e.g., MS) and musculoskeletal health through practice-based research networks (PBRNs), leveraging frameworks for interdisciplinary collaboration and implementation science. Scientific Awards: SNF Fellowship (2010–2011) SNF-funded Research at CSS Institute (2011–2014) His grants include SNF support for postdoctoral and CSS research. He co-leads the MAP-U and MAP-Z studies on mental health in conflict and displacement contexts. His advisory work involves the development of frameworks for clinician-patient engagement in PBRNs and the optimization of digital health study designs. He directs the Swiss MS Registry and chairs the Swiss Chiropractic Practice-based Research Network (Swiss ChiCo), advancing musculoskeletal primary care research. Viktor’s labs include the Swiss MS Registry and collaborations within the Institute of Epidemiology, Biostatistics & Prevention. He co-founded the corona immunitas digital ecohort to study pandemic impacts and has pioneered the use of fitness trackers in neurorehabilitation studies through the BarKA-MS initiative.

• Autonomous Driving
• Computer Vision
• Robotics
• +۳ مورد دیگر

Markus Enzweiler serves as Professor of Computer Science and Autonomous Systems at Esslingen University of Applied Sciences within the Department of Computer Science and Engineering. He concurrently holds the leadership position of Director at the Institute for Intelligent Systems, where he oversees research initiatives focused on intelligent systems development for real-world autonomous applications. His research program centers on computer vision for autonomous systems , with specialized expertise in visual-inertial SLAM, collective perception, and neural rendering techniques. Key investigation areas include environmental robustness across agricultural and urban settings, real-time processing constraints for embedded systems, sensor fusion methodologies (particularly camera-radar integration), and the application of generative models for perception enhancement. His work consistently addresses practical implementation challenges such as computational efficiency and sensor calibration in unstructured environments. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Advancement of lightweight perception systems through stixel-based representations and neural rendering; (2) Development of infrastructure-supported collective perception frameworks with datasets like CoopScenes and OPNV; and (3) Rigorous benchmarking of SLAM components in domain-specific contexts including agricultural robotics and multi-season navigation. His recent systematic review on LLM-based vulnerability detection also demonstrates expanding interest in software security for autonomous systems. As Director of the Institute for Intelligent Systems, Prof. Enzweiler leads a research ecosystem focused on translating theoretical advances into practical autonomous vehicle technologies. His team develops specialized datasets (Rover, OPNV) and software stacks for smart city environments, emphasizing the integration of novel perception approaches with vehicle dynamics modeling and real-time operational constraints.