جستجوی استاد راهنمای دانشگاهی

• Multi-agent systems
• Real-Time Systems
• XAI (Explainable Artificial Intelligence)
• +۵ مورد دیگر

Prof. Davide Calvaresi is an Associate Professor at HES-SO Valais-Wallis, affiliated with the School of Engineering and IT and the Department of Computer Science and Communication Systems. His research focuses on Multi-Agent Systems (MAS), Real-Time Systems, Explainable AI (XAI), Blockchain, and their applications in healthcare, cybersecurity, and smart cities. Leading the EXPECTATION project (2021–present), he explores personalized XAI for heterogeneous knowledge integration in decentralized systems. He collaborates with institutions like the University of Bologna and the University of Luxembourg, addressing challenges in MAS timing reliability, ethical AI frameworks, and blockchain-based consent management in clinical trials. Key contributions include the EREBOTS chatbot platform for cancer survivors, real-time MAS simulators (MAXIM-GPRT), and frameworks for nutrition coaching systems with explainable recommendations. His work bridges technical innovation with ethical, legal, and human-centric considerations, emphasizing transparency and trust in AI systems.

Stefano Mintchevمشاهده پروفایل

استادیار

• Environmental Robotics
• Biodiversity Monitoring
• Autonomous Systems
• +۷ مورد دیگر

Prof. Stefano Mintchev is an Assistant Professor at ETH Zurich's Department of Environmental Systems Science, leading the Environmental Robotics Lab since 2020. His research focuses on developing robots to explore complex natural environments, particularly forest canopies for ecological data collection. He holds a Ph.D. in Biorobotics from Italy’s BioRobotics Institute and has extensive postdoctoral experience in aerial robotics at EPFL. His work bridges robotics engineering and environmental science, emphasizing multimodal locomotion, perception, and soft manipulation for ecosystem assessment. Education: B.Sc./M.Sc. in Mechanical Engineering from University of Pisa/Sant'Anna School (2005–2010), Ph.D. in Biorobotics (2014). Professional roles include CTO of Foldaway Haptics (2017–2020) and contributions to projects like Mercedes-Benz’s VISION AVTR concept car. Research collaborations span international initiatives like FP6/FP7 EU projects and Switzerland’s NCCR Robotics. Research interests include arboreal robot development, environmental DNA sampling via drones, and biodegradable robotic components. His articles highlight innovations in aerial-tethered robots, tactile sensing systems, and user-centric agricultural drone applications. Lab affiliations include ETH Zurich and WSL (Swiss Federal Institute for Forest, Snow and Landscape Research).

• Machine Learning
• Healthcare Technology
• Sensor Networks
• +۳ مورد دیگر

Michel Deriaz is a Senior Lecturer at the University of Geneva's Research Institute for Statistics and Information Science. He holds a Ph.D. from the same institution. His research focuses on machine learning applications in healthcare technology, sensor systems, and recommendation systems, with a strong emphasis on interdisciplinary projects involving wearable devices, data analysis, and human-centric technologies. Key research interests include: Machine learning for gait analysis and early disease detection Indoor/outdoor localization using IMU and GPS fusion AI-driven recommendation systems for seniors and startups Health monitoring through biometric sensors (e.g., grip strength analysis) Optimization of mobile positioning systems His recent work demonstrates expertise in: Convolutional neural networks for equine lameness detection Transformer-based models for localization during GPS outages Predictive analytics for foreign exchange markets Validation of medical devices for clinical assessment No scientific awards or current grants are listed, though his extensive publication record indicates active collaboration with healthcare providers and tech innovators. His work often bridges theoretical computer science with practical applications in geriatric care, veterinary science, and disaster management systems.

Tim Althoffمشاهده پروفایل

استادیار

• Data Science
• Natural Language Processing
• Mental Health Informatics
• +۳ مورد دیگر

Tim Althoff is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where he directs the Behavioral Data Science Group. His research combines data science, social network analysis, and natural language processing to develop computational methods for understanding human behavior, mental health, and public health through digital traces.

Nuria Oliverمشاهده پروفایل

پژوهشگر

• Computational Models of Human Behavior
• Human-Computer Interaction
• Intelligent User Interfaces
• +۱۲ مورد دیگر

Nuria Oliver, PhD is a pioneering computer scientist and ACM Fellow , recognized as the first female Spanish computer scientist to achieve both ACM Distinguished Scientist and IEEE Fellow status. Current affiliations include Microsoft Research and former roles at MIT Media Lab. First female Spanish ACM Fellow IEEE Fellow Academia Europaea member Her research spans human behavior modeling , intelligent user interfaces , and mobile computing , with notable work in: Wearable context-aware systems (DyPERS, HealthGear) Music-adaptive exercise platforms (MPTrain, TripleBeat) Social network analysis (information propagation, community link modeling) Computer vision interfaces (LAFTER facial expression recognition) Scientific achievements include: 41 patents 15+ years of continuous multimodal systems research Recognized for LAFTER system (2000 paper) She actively promotes technology accessibility through: Media collaborations Technical/non-technical keynotes STEM outreach for girls

Fabrizio Peceمشاهده پروفایل

پژوهشگر

• Human Computer Interaction
• Computer Vision
• Virtual Reality
• +۴ مورد دیگر

Fabrizio Pece is a postdoctoral researcher at ETH Zurich , affiliated with the Advanced Interactive Technologies Lab under the Institute of Intelligent Interactive Systems . Prior to this, he completed his PhD (2010-2014) and MSc (2009) at University College London in the Virtual Environment and Computer Graphics group under Prof. Jan Kautz. He holds a BSc in Computer Science from Università degli Studi di Roma Torvergata (2008) and interned at Disney Research Zurich (2010) supervised by Prof. Wojciech Matusik. His research spans Human-Computer Interaction (HCI) , Computer Vision , and Machine Learning , focusing on Virtual/Augmented Reality , Interactive Systems , and Computational UI Design . His work integrates novel hardware with data-driven methods to explore digital interaction trends. Recent publications highlight expertise in 3D motion infilling , digital ink editing , wearable haptics , and deformable input devices . He has received prestigious awards including Honorable Mentions at UIST 2017 and CHI 2013 , SNF Grant funding , and ETH Postdoctoral Fellowship (Marie Curie Co-Fund). Teaching experience across ETH Zurich (User Interface Engineering, ML for Interactive Systems) and UCL (Computer Graphics, Multimedia Computing) Supervised multiple BSc/MSc thesis students including Adrian Spurr, Ralph Aeschimann, and Manuel Kaufmann Active in academic service as a reviewer for ACM CHI, SIGGRAPH, and IEEE ISMAR

• Human Factors
• Human-Machine Interaction
• Automated Driving
• +۳ مورد دیگر

Prof. Markus Hackenfort is a Professor for Human Factors Psychology at the ZHAW School of Applied Psychology, Zurich University of Applied Sciences (ZHAW). He leads modules in Traffic Psychology, Social Psychology, and Sociology. His research focuses on human factors, automated driving, and cognitive causes of human behavior. He holds a PhD in Applied Cognitive Science from the University of Duisburg-Essen (2007) and a 1st state examination in teaching psychology and social pedagogy (2002). Education: PhD in Applied Cognitive Science, University of Duisburg-Essen (2005–2007) 1st State Examination in Teaching Psychology & Social Pedagogy, Universities of Dortmund & Duisburg-Essen (1997–2002) Research Interests: Human-Machine Interaction Risk Perception and Decision-Making Automated Driving Systems Quantitative Methodologies Prevention Programs for Youth Road Safety Projects: Leader of projects analyzing overtaking maneuvers, e-scooter safety, and cyber resilience networks Co-lead of studies on road safety KPIs and sensor-based accident research Developed prevention programs for young drivers and urban mobility safety Awards: No specific awards listed, but has received grants for over 20 projects. Labs & Teams: Active in RoadCross Schweiz, Scientraffic, and ASTRA collaborations. Leads interdisciplinary teams in road safety and automated vehicle research.

• Automatic Speech Recognition
• Conversational User Interfaces
• Human-Computer Interaction
• +۶ مورد دیگر

Prof. Hans-Peter Hutter is a Professor of Computer Science at the ZHAW School of Engineering, specializing in Deep Learning-based Automatic Speech Recognition, Conversational User Interfaces, and Human-Centered Computing. He leads the Human-Centered Computing research group at InIT/ZHAW and has held this position since 2005. His work focuses on accessibility technologies, mobile usability, and inclusive design for visually impaired users. Education: Dr. sc. techn. ETH in Computer Engineering (ETH Zurich, 1996) Dipl. El.-Ing. ETH in Electrical Engineering (ETH Zurich, 1986) Research Interests: Advancing accessibility in digital systems (e.g., accessible PDFs, navigation aids for visually impaired users) Speech recognition and dialogue systems Mobile application design principles Service engineering and platform development His recent work emphasizes multimodal interaction, accessible document remediation, and SLAM systems for navigation assistance. Projects: Leading the InCrowd-VI dataset project for indoor navigation Developing MathNet for mathematical expression recognition Creating accessible tourism services in Lake Constance region Grants & Labs: Active in EU-funded and industry collaborations, leading the InIT Institute founded in 2002. Collaborates with organizations like SwissICT and ACM.

Javier Argota Sánchez-Vaquerizoمشاهده پروفایل

مدرس

• Urban Digital Twins
• Participatory Governance
• Mobility Systems
• +۲ مورد دیگر

Javier Argota Sánchez-Vaquerizo is Lecturer in Computational Social Science at ETH Zurich, bridging architecture, urban design, and data science to transform urban decision-making. His work develops urban digital twins integrating human-computer intelligence for participatory governance and sustainable cities. Research integrates: Digital twin architectures for urban complexity Mobility system democratization VR-enabled participatory design Mixed-traffic optimization Deliberative democracy frameworks Recent publications demonstrate empirical validation of large-scale urban simulations (Barcelona traffic), VR studies of pedestrian perception, and comparative analyses of bike-sharing accessibility. Methodological innovations include multi-agent lane management (FAIRLANE) and open-source route recommendation systems prioritizing multi-criteria equity. Collaborates with Singapore's Future Cities Laboratory and European Research Council projects. Exhibited architectural work at Venice Biennale. Current projects examine metaverse-urbanism intersections and institutional frameworks for democratic digital twins.

Leonel Aguilar Melgarمشاهده پروفایل

مدرس

• Computational Social Science
• Human-Computer Interaction
• Data Science
• +۲ مورد دیگر

Leonel Aguilar Melgar is a Lecturer in the Department of Humanities, Social and Political Sciences at ETH Zürich, where he researches computational social science and human-computer interaction. His work develops AI/ML systems to model social phenomena, with applications in urban dynamics, environmental psychology, and digital health. Aguilar's research bridges data science and social systems through: Agent-based modeling of collective behavior Human-building interaction studies Digital support systems for public health Reproducible experimental frameworks He contributes to open-source projects including Easeml/AutoML for accessible machine learning and computational platforms for social simulation. Aguilar's publications demonstrate innovative approaches to studying wayfinding behaviors, evacuation dynamics, and parenting interventions in low-resource settings. Recent work advances digital twin technology and VR-based experimental methods. Honors include recognition as MIT Technology Review Innovator under 35 for Latin America (2020).

Sachit Mahajanمشاهده پروفایل

مدرس

• Computational Social Science
• Responsible AI
• Participatory Sensing
• +۷ مورد دیگر

Dr. Sachit Mahajan Senior Researcher and Lecturer in the Computational Social Science (COSS) group at ETH Zurich, Switzerland. Specializes in responsible AI, participatory sensing, and computational social science with a focus on integrating ethical frameworks into technology development. Affiliations: Department of Humanities, Social and Political Sciences (D-GESS), ETH Zurich. Education: PhD in Social Networks and Human-Centered Computing (Academia Sinica), Postdoctoral Research (University of Cambridge and University of Surrey). Research: Develops frameworks for AI ethics, citizen science, and urban sustainability. Notable projects include the greenR package for urban greenness quantification, CAR routing algorithm for air quality navigation, and VAYU toolbox for sensor data analysis. Explores co-creation methodologies for equitable technology governance. Key Contributions: Over 30 peer-reviewed publications, including work on participatory environmental monitoring and smart city design. Active in open-source tool development and global citizen science initiatives. Awards: While no explicit awards listed, recognized for impactful contributions to open-source urban analytics and ethical AI frameworks.

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.

• Biomedical Engineering
• Wearable Technology
• Machine Learning
• +۳ مورد دیگر

Dr. Chakaveh Ahmadizadeh is a Lecturer at the Department of Health Sciences and Technology, ETH Zürich. Her research focuses on biomedical and mobile health technology, particularly in wearable sensing systems for physiological and movement monitoring. Position: Lecturer Institution: ETH Zürich Research Interests: Wearable sensors, machine learning for health, smart textiles, physiological signal processing Recent work highlights include: Textile-based capacitive strain sensors for robust hand gesture recognition Multi-plane knee angle monitoring systems Machine learning integration for FMG signal analysis Passive wireless textile sensors for movement tracking Sweat resistance testing for wearable health applications

Dimitri Konstantasمشاهده پروفایل

استاد

• Mobile Health Systems
• Wireless Networks for Healthcare
• Body Area Networks
• +۷ مورد دیگر

Dimitri Konstantas is a Full Professor of Computer Science at the University of Geneva, where he maintains an active research program at the intersection of mobile computing and healthcare applications. His work spans over two decades with significant contributions to mobile health systems, particularly through the MobiHealth project, and serious gaming applications for mental health treatment through the PlayMancer project. Professor Konstantas' research interests focus on the development of innovative mobile health technologies, including wireless body area networks for patient monitoring, quality of service mechanisms for mobile healthcare applications, and location-based services for seniors. His work bridges computer science with practical healthcare applications, demonstrating a strong commitment to translating theoretical research into real-world solutions that improve patient care and health outcomes. Analysis of his recent publications reveals a consistent trajectory in mobile health systems with a particular emphasis on applying ambient intelligence and serious gaming techniques to healthcare challenges. His work shows evolution from foundational mobile networking research to applied healthcare technologies, with increasing focus on psychological applications and therapeutic interventions through digital means, particularly in the treatment of eating disorders. Professor Konstantas has been instrumental in leading major European research projects including MobiHealth and PlayMancer, which have resulted in numerous publications and practical implementations of mobile health technologies. His work has established important frameworks for mobile quality of service, patient monitoring systems, and therapeutic gaming applications that have influenced the field of digital health. His laboratory work has centered around the development of the MobiHealth system for remote patient monitoring and the PlayMancer platform for digital therapy applications, demonstrating his commitment to creating practical, deployable health technology solutions that address real clinical needs.