جست‌وجوی استاد و پژوهشگر

Michele Magnoمشاهده پروفایل

مدرس ارشد

• Smart Sensing
• Low-Power Machine Learning
• Wireless Sensor Networks
• +۴ مورد دیگر

Michele Magno is a Senior Lecturer and Privatdozent at ETH Zürich's Department of Information Technology and Electrical Engineering (D-ITET), leading the D-ITET Center for Project-based Learning (pbl.ee.ethz.ch). He holds a PhD in Electronic Engineering from the University of Bologna (2010) and has held visiting roles at institutions like the University of Nice and Mid Sweden University. His research focuses on low-power systems, wearable devices, energy harvesting, and IoT applications. Magno has authored over 350 peer-reviewed papers, with a Google H-index of 49. Notable awards include the 2024 Best Paper Award at ECCV and multiple best poster/demo recognitions at IEEE conferences. His industrial collaborations include projects with STMicroelectronics, Texas Instruments, and Logitech. Teaching contributions include courses on embedded systems, FPGA programming, and machine learning on microcontrollers. Magno's innovations span smart sensors for wind turbines, bio-medical monitoring, and autonomous racing systems, with patents in touch communication and energy-neutral devices. Recent work emphasizes ultra-low-power solutions for AI-integrated wearables, energy-efficient IoT nodes, and real-time embedded vision systems. His labs and teams pioneer technologies like TinyssimoRadar for in-ear gesture recognition and WakeMod for ultra-low-power IoT connectivity.

• Augmented Reality
• Game Technology
• Medical Imaging
• +۴ مورد دیگر

Dr. Fabio Zünd is a Lecturer at the Department of Computer Science, ETH Zurich, affiliated with the Game Technology Center (GTC). He is based in Zurich, Switzerland, and can be reached at fabio.zund@inf.ethz.ch . His work focuses on innovative applications of Augmented Reality (AR), Game Technology, and Human-Computer Interaction (HCI), with notable contributions to medical AR integration, facial image anonymization, and interactive storytelling systems. Research interests include AR-driven medical education, personalized clinical imaging tools, and the development of immersive technologies that bridge real and virtual worlds. His projects often address challenges in user-centered design, such as scent-based gaming interfaces and emotion-aware interaction techniques. Recent work highlights include the VerA system for clinical facial image anonymization, scent prediction in video games, and latent diffusion models for art generation. He explores interdisciplinary applications in healthcare, education, and entertainment through collaborations with institutions like the ETH Library and industry partners. No scientific awards are explicitly mentioned in the provided information. His advising record remains unspecified, though he contributes to ETH’s educational programs through courses like the Seminar on Game Technology . Ongoing projects involve the Game Technology Center’s exploration of tangible interaction systems and wearable input devices such as the DigiGlo glove technology.

• Transformation processes
• Sustainable Architecture
• Sustainable Urban Planning
• +۲ مورد دیگر

Professor Radu Florinel is an Ordinary Professor at the Fribourg School of Engineering and Architecture, part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). An accomplished architect and urban planner, he leads research at Institut TRANSFORM with a focus on sustainable development and the balance between human activities and environmental preservation. His core research areas include transformation processes, sustainable architecture, sustainable urban planning, user behavior and well-being, and office environment design. Professor Radu employs a systemic and interdisciplinary approach that integrates architectural, social, and environmental perspectives to address complex urban challenges. His work often involves participatory governance methods and considers multiple dimensions of comfort and sustainability in the built environment. Professor Radu's publication record demonstrates consistent contributions to sustainable urban development, with recent works focusing on neighborhood revitalization, housing innovation, workplace comfort, and the adaptive reuse of existing buildings. His research output shows a clear trajectory toward more integrated approaches that bridge social and spatial perspectives in addressing urban challenges. Professor Radu has secured significant research funding through projects including Multi-Comfort (Smart Living Labs), CityPulse, and UrbEco. His current research priority is the resilient transition of existing neighborhoods (OFEN, ongoing), which builds on his extensive experience in sustainable urban development and draws on his core competencies in systems thinking and interdisciplinary collaboration. At Institut TRANSFORM, Professor Radu leads research that bridges academic inquiry with practical applications in urban planning and architectural practice. His work provides valuable tools and methodologies for project owners, managers, and policymakers seeking to create more sustainable and livable urban environments while addressing contemporary challenges such as climate change, demographic shifts, and evolving work patterns.

• Digital Tourism
• Digital Marketing
• Heritage Tourism
• +۷ مورد دیگر

Dr. Emanuele Mele is an Assistant Professor at the University of Applied Sciences and Arts of Western Switzerland (HES-SO) Valais-Wallis , affiliated with the Institute of Tourism (ITO) . His expertise spans Digital Tourism , Digital Marketing , and Heritage Tourism , focusing on customer segmentation , social media marketing , and cultural adaptation of online communication . PhD in Communication Sciences (Università della Svizzera italiana, 2016) Primary research methods: big data analytics , automated content analysis , thematic analysis , and semiotic analysis Collaborates with Prof. Roland Schegg and Dr. Peter Kerkhof on digital heritage promotion His scientific publications highlight trends in: Digital technology integration for heritage experiences Paradoxical sustainability in luxury hospitality Visual analysis of alpine tourism narratives Data-driven tourism strategies Crisis communication via social media Augmented reality applications in tourism As a coach for bachelor's research projects, he guides students in Tourism Institute (ITO) initiatives related to Swiss tourism and digital transformation .

• Pattern Recognition
• Applied Machine Learning
• Document Analysis
• +۴ مورد دیگر

Andreas Fischer is an Ordentlicher Professor at the Fribourg School of Engineering and Architecture (HES-SO), specializing in Pattern Recognition, Machine Learning, and Document Analysis. His research focuses on handwriting recognition, graph-based methods, and applications in cultural heritage preservation and medical imaging. Education: BSc in Computer Science from Fribourg School of Engineering and Architecture Research Interests: Graph Neural Networks for automata universality analysis Hybrid systems for Vietnamese stele keyword spotting Medical image analysis (colorectal cancer, tumor budding) Large language models for post-OCR correction Key Projects: TAINA Technology (handwriting validation for tax forms) Swisscom (Swiss German to High German translation) Hasler Foundation (Vietnamese stele graph-based analysis) Publications: Over 30 peer-reviewed articles in top journals/conferences (IEEE Access, Medical Image Analysis, Pattern Recognition, etc.), with focus on graph-based methods, handwriting recognition, and medical applications. Grants & Roles: Principal Applicant for multiple industry-funded projects (TAINA, Swisscom) Co-developer of DIVA-DAF deep learning framework

Gabriele Bavotaمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Data Mining
• +۷ مورد دیگر

Gabriele Bavota is a Full Professor in the Faculty of Informatics at the Università della Svizzera italiana (USI). He holds a Laurea (cum laude) and PhD in Computer Science from the University of Salerno (2013). Before joining USI in 2016, he was an Assistant Professor at the Free University of Bolzano-Bozen (2014–2016) and a research fellow at the University of Sannio (2013–2014). Research Focus: Software maintenance, mining software repositories, empirical software engineering, and AI-driven code analysis. Awarded the 2018 ACM Sigsoft Early Career Researcher Award and leads the ERC Starting Grant project DEVINTA, exploring deep learning applications in software engineering. Authored over 180 publications in top venues like ICSE, FSE, and TOSEM, with multiple best/distinguished paper awards. His work bridges empirical studies, AI tools, and developer-centric solutions, addressing challenges in code quality, refactoring, and automated testing. He has served as program chair for ICPC 2016, SANER 2017, and ICSME 2023, and holds editorial roles in TSE, EMSE, and JSS. Labs/Teams: Principal Investigator of the DEVINTA project and part of the Software Institute at USI, fostering collaborations in AI, software engineering, and empirical research.

• Computer Science
• Educational Technology
• Game Studies
• +۳ مورد دیگر

Stephan Müller is a Lecturer at the Department of Physics, ETH Zürich, affiliated with the IT Services Gruppe (ISG D-PHYS). His work focuses on educational technology, particularly leveraging Minecraft for collaborative learning and behavioral analysis through tools like Heapcraft. He specializes in data visualization, game studies, and human-computer interaction. Research interests revolve around understanding and optimizing player collaboration in digital environments, with applications in both gaming and education. His recent contributions include developing interactive tools to quantify and influence collaborative behaviors in Minecraft, blending computer science with educational methodologies. Stephan teaches the course 'Basics of Computing Environments for Scientists' (402-0010-00L) in the Autumn Semester 2025, emphasizing computational foundations for scientific research.

Shreyasvi Natrajمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Artificial Intelligence
• Neuroscience
• +۳ مورد دیگر

Shreyasvi Natraj is a doctoral student at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich, Switzerland. She holds a Bachelor of Engineering in Biotechnology from R.V. College of Engineering (2015-2019) and a Master of Science in Neuroscience from the University of Geneva (2019-2022). Her interdisciplinary work bridges biomedical engineering, artificial intelligence, and hardware development. Research Interests: Biomedical device prototyping Neural network applications in healthcare Low-cost environmental/safety technologies Human-computer interaction for accessibility Projects: $50 Bacteriological Incubator Assist Bot (AR/VR sensor-based robot) Water purification module Puri-Pod Toxic gas analyzer for salt farmers CovARC (COVID risk calculator web app) Her academic journey includes research assistantships at NCCR Synapsy (2019-2023), technical roles at CERN (2018-2022), and co-founding the EPFL startup NeuralWorks. She actively contributes to GitHub repositories related to medical diagnostics and environmental monitoring.

• 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

Nicholas Bokulichمشاهده پروفایل

استادیار

• Microbiome Research
• Food Biotechnology
• Bioinformatics
• +۳ مورد دیگر

Prof. Nicholas Bokulich is an Assistant Professor at the Department of Health Sciences and Technology, ETH Zürich. His research focuses on microbiome dynamics in food systems, human health, and environmental contexts. Key areas include microbial diversity preservation, oral and gut microbiome associations with health outcomes, and the development of reproducible bioinformatics tools for analyzing microbiome data. Education details are not explicitly listed in the provided text. His work spans interdisciplinary projects such as the Microbiota Vault Initiative (conserving microbial biodiversity) and the HealthFerm initiative (exploring fermented foods for health and sustainability). He leads efforts in standardizing microbiome analysis pipelines, including contributions to QIIME 2, a widely used bioinformatics framework. Recent publications highlight his focus on food biotechnology, microbial forensics, and the interplay between microbiota and human physiology. He collaborates on projects involving vineyard microbiomes, maternal-infant microbial transfer, and the impact of environmental factors on microbial communities. His research bridges basic science and applied solutions in public health, agriculture, and technology.

Gabriela Schenkمشاهده پروفایل

استاد

• Mobile Robotics
• Robotics
• Autonomous Systems
• +۷ مورد دیگر

Gabriela Schenk is a Professor at the Swiss Federal Institute of Technology Zurich (ETH Zurich), affiliated with the School of Engineering and the Department of Mechanical and Process Engineering. She is associated with the Professorship for Mobile Robotics and works at the Mobile Robotics Lab (MRL). Her research focuses on robotics, autonomous systems, and embedded systems, with applications in mobile robotics and human-robot interaction.

• Computer Graphics
• Visualization
• Computer Science
• +۳ مورد دیگر

Danielle Luterbacher is affiliated with the Institut für Visual Computing at ETH Zürich, serving in the role of Staff of Professorship for Computer Science. Her position is based in Zürich, Switzerland, with an office at CNB G 106.1. Her work likely focuses on visual computing disciplines such as computer graphics, visualization technologies, and related computational methods. No specific research interests, awards, or publications are detailed in the provided text.

Robin Morrisonمشاهده پروفایل

پژوهشگر ارشد

• Behavioral Ecology
• Evolutionary Biology
• Primate Social Behavior
• +۳ مورد دیگر

Robin Morrison is an Ambizione Research Fellow and Group Leader in the Department of Evolutionary Anthropology at the University of Zurich. She leads the Primate Social Evolution Group and is affiliated with the Human Evolutionary Ecology Group. As an Affiliate Scientist at the Dian Fossey Gorilla Fund’s Karisoke Research Center in Rwanda, she conducts fieldwork on gorilla social behavior and conservation. Her PhD from the University of Cambridge focused on western lowland gorillas in Congo Basin national parks. Her research investigates gorilla social systems, including dispersal patterns, social relationships, and how these influence fitness and conservation strategies. Current projects include studying the adaptive origins of social flexibility in gorillas, funded by the Swiss National Science Foundation (2023–2027). Key research themes include: social behavior evolution, life history processes, disease transmission in social groups, and the role of social networks in mitigating adversity. Her work combines long-term field data with computational models to understand primate social dynamics. Publications highlight innovative analyses of gorilla group dynamics, survival strategies, and reproductive patterns. Research has demonstrated how social buffering mitigates maternal loss effects and how inter-group interactions shape territorial behavior. Awards include Ambizione Fellowship status, and her work frequently appears in journals like Behavioral Ecology and Sociobiology and Current Biology. She collaborates internationally across field sites in Rwanda, Congo, and Cameroon.

Owen Petcheyمشاهده پروفایل

استاد

• Predictive Ecology
• Ecosystem Ecology
• Environmental Change
• +۳ مورد دیگر

Owen Petchey is a Full Professor in the Department of Evolutionary Biology and Environmental Studies at the University of Zurich (since 2017), and Vice Dean of the Faculty of Science (since 2020). He also directs the Global Change and Biodiversity Priority Research Programme and has held leadership roles including Director of the Ecology PhD Programme and Life Science Zurich Graduate School. His research focuses on predictive ecology, environmental change impacts, and ecosystem modeling. He holds a Ph.D. from Imperial College London (1997) and a B.A. from the University of Cambridge (1994). Key research interests include biodiversity’s role in ecosystem stability, response diversity to environmental perturbations, and statistical computing for ecological prediction. Recent work emphasizes forecasting community dynamics under climate change using trait-based approaches. His articles highlight advancements in measuring response diversity, microbial ecosystem resilience, and biodiversity-ecosystem function relationships. Scientific Awards: Royal Society University Research Fellowship (2003–2011), NERC Research Fellowship (2000–2003). Labs/Teams: Predictive Ecology Group, Global Change & Biodiversity URPP, Experimental Microbial Ecology Hub. Grants/Advising: Directed multiple academic programs, including the Biology Masters in Ecology and the Ecology PhD Programme.

Nicolò Paganمشاهده پروفایل

پژوهشگر

• AI Ethics
• Social Network Analysis
• Machine Learning
• +۳ مورد دیگر

Dr. Nicolò Pagan is a Postdoctoral Researcher at the Social Computing Group within the Department of Informatics at the University of Zurich. He is also a member of the National Centre of Competence in Research (NCCR) Automation. Pagan holds a Ph.D. from ETH Zurich (2021), an M.Sc. from EPF Lausanne, and a B.Sc. from Politecnico di Torino. His research focuses on AI ethics, fairness in automated decision-making systems, and generative AI applications for health interventions. He has published in top venues like Nature Communications and has supervised multiple student projects on topics like feedback loops in recommendation systems and generative AI modeling. Education: Ph.D. in Automatic Control, ETH Zurich (2021) M.Sc. in Computational Science and Engineering, EPF Lausanne B.Sc. in Applied Mathematics, Politecnico di Torino Research Interests: AI ethics and societal impact Feedback loops in automated systems Generative AI for health interventions Algorithmic fairness in social media Network formation dynamics His recent work explores fairness effects of algorithmic systems and uses LLM-based generative AI to model large-scale human behavior for health campaigns. Over 10 peer-reviewed publications span topics like recommendation systems' societal impact and game-theoretic network analysis. Advising and Grants: Supervised 5+ student projects on topics like opinion dynamics and fairness in ride-hailing systems. Active in NCCR Automation's interdisciplinary research initiatives. Labs/Teams: Member of the Social Computing Group and NCCR Automation, collaborating on projects linking AI ethics to real-world systems.