جست‌وجوی استاد و پژوهشگر

Manuel Kaufmannمشاهده پروفایل

مدرس

• 3D Human Motion Capture
• Computer Vision
• Sensor Data Processing
• +۳ مورد دیگر

Manuel Kaufmann is a Lecturer in the Department of Computer Science at ETH Zürich. His work focuses on advanced 3D human motion capture, sensor-based systems, and computer vision applications. He is affiliated with the Institute of Informatics (inf.ethz.ch) and contributes to research in real-time motion tracking, dataset development, and machine learning integration for human-robot interaction. Research interests include holistic human-scene reconstruction from monocular videos, gaze estimation using EEG signals, and expressive avatar creation. His projects emphasize practical applications in robotics, sports analytics, and biomedical engineering, often leveraging electromagnetic and inertial sensors for high-precision data acquisition. His publications reflect a trend toward multi-modal data fusion, real-world dataset creation (e.g., WorldPose, ARCTIC), and addressing challenges in loose garment modeling (Reloo). These efforts aim to improve markerless motion capture, crowd analysis, and human-robot collaboration. No scientific awards or grants are explicitly listed. He has no documented advisees, though his research may involve collaborations with students or teams. His office is located at OAT X 23, Andreasstrasse 5, Zürich, Switzerland, and contact details include a phone number and professional email.

David Basinمشاهده پروفایل

استاد

• Information Security
• Formal Methods
• Cryptography
• +۳ مورد دیگر

David Basin is a Full Professor at the Department of Computer Science, ETH Zurich, and heads the Information Security Group. He has held academic positions since 2003, including roles at the University of Freiburg (1997–2002) and the Max-Planck-Institut für Informatik (1992–1997). His research focuses on Information Security, including methods and tools for secure systems, formal verification, and cryptographic protocols. He is Editor-in-Chief of the ACM Transactions on Privacy and Security and Springer's Information Security and Cryptography book series. Basin founded the Zurich Information Security Center (ZISC) in 2003 and led it until 2011. Education: B.Sc. in Mathematics (Reed College, 1984), Ph.D. (Cornell University, 1989), and Habilitation (University of Saarbrücken, 1996). Research interests span formal methods for security protocol verification, privacy-preserving systems, and cryptographic implementations. He has contributed to foundational work on security protocols, including the Tamarin verification framework. His work addresses real-world systems like payment protocols (EMV), DNS security, and database isolation guarantees. Awards: ACM Fellow (2018) for contributions to Information Security and Formal Methods, IEEE Fellow. He has organized numerous conferences, including IEEE S&P, Euro S&P, and ACM CCS. Labs/Teams: Leads the Information Security Group at ETH Zurich and co-founded Anapaya Systems, a startup focused on network security solutions. His team develops tools like VeriMon (formally verified monitoring) and Tamarin for protocol analysis.

Hongwei Wangمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Interconnected Systems
• Large Language Models
• +۶ مورد دیگر

Dr. Hongwei Wang is a Senior Researcher at Tencent AI Lab Seattle , specializing in applied machine learning for Natural Language Processing and Interconnected Systems . His work bridges Knowledge Graphs , Recommender Systems , and Graph Neural Networks , with a focus on large language models and retrieval-augmented generation. Ph.D. (2018), B.E. (2014) in Computer Science from Shanghai Jiao Tong University Postdoctoral Researcher : Stanford University (2019-2021), University of Illinois Urbana-Champaign (2021-2022) Dr. Wang’s research explores integrating Knowledge Graphs with Graph Neural Networks to enhance recommendation systems, language models, and information retrieval. His work spans Retrieval-Augmented Generation , Representation Learning , and GAN-based Graph Modeling , with recent papers on State-Space Exploration for LLM agents and Semantic Watermarking . His 15 most recent publications (2022-2024) focus on Retrieval Granularity , Interactive Memory , and Agent Systems , with keywords spanning Computer Science , Machine Learning , and Knowledge Graphs . Trends highlight advancements in Token-Level Semantic Matching , Schema-Guided Event Prediction , and Multi-Document Summarization . Scientific Awards: 2020 CCF Outstanding Doctoral Dissertation Award 2018 Google Ph.D. Fellowship Dr. Wang contributes to open-source projects like DKN and RippleNet , with 11 repositories on GitHub. He actively engages in Knowledge Graph Conferences (KDD, WWW, AAAI) and studies Chinese Classical Poetry and Film Arts .

• Databases
• Transaction Management
• Data Management in the Cloud
• +۱۲ مورد دیگر

Heiko Schuldt is a Full Professor of Computer Science at the University of Basel and leads the Databases and Information Systems (DBIS) group. His research spans databases, transaction management, cloud data systems, digital libraries, and multimedia retrieval, with a focus on distributed systems, data streams, and service-oriented architectures. He studied at the University of Karlsruhe (KIT) and received his PhD from ETH Zurich in 2001. From 2003-2006, he served as an associate professor at UMIT, Austria. Education: University of Karlsruhe (Computer Science), ETH Zurich (PhD, 2001) Research Interests: His work integrates databases, cloud computing, and multimedia retrieval, emphasizing scalable systems for lifelog data, sports analysis, and VR/AR environments. Projects include vitrivr, Polypheny-DB, and StreamTeam. Recent Publications: Trends focus on VR/AR multimedia retrieval, cross-modal analysis, and polystore systems. Key contributions include open-source frameworks for video/image retrieval and immersive analytics. Advising: Supervised over 50 theses in areas like mixed reality, polystore optimization, and gesture-based interfaces.

Alexander Artikisمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Distributed Systems
• Complex Event Recognition
• +۴ مورد دیگر

Dr. Alexander Artikis is an Associate Professor of Artificial Intelligence at the University of Piraeus and a Research Associate at the National Centre for Scientific Research (NCSR) "Demokritos". He leads the Complex Event Recognition (CER) group , focusing on symbolic and probabilistic approaches to event recognition and forecasting. University of Piraeus (2025–present) NCSR Demokritos (2017–present) Complex Event Recognition Group (2017–present) His research spans Artificial Intelligence and Distributed Systems , with a focus on: Complex Event Recognition (CER) : Developing logic-based systems for detecting events in real-time data streams Event Calculus : Creating probabilistic and incremental versions for runtime reasoning Multi-Agent Systems : Modeling norm-governed interactions Maritime Informatics : Applying CER to vessel trajectory analysis and fleet management Key publications reveal trends in: Neuro-symbolic forecasting models combining deep learning and logic-based reasoning Symbolic automata with memory for pattern detection Online learning techniques for dynamic event rule generation Tensor-based formalizations for efficient temporal reasoning Handling uncertainty in real-time maritime data streams Optimizing memory usage for scalable stream processing He contributes to open-source tools like RTEC (Run-Time Event Calculus) and holds a European patent on complex event forecasting. His work addresses challenges in: Proactive decision-making systems Knowledge Graph consistency Hybrid human-machine discovery of movement patterns Big Data analytics for time-critical applications

Renata Borovica-Gajicمشاهده پروفایل

دانشیار

• Database Systems
• Machine Learning
• Artificial Intelligence
• +۱۲ مورد دیگر

Renata Borovica-Gajic is an Associate Professor in Data Analytics and an ARC DECRA Fellow at the School of Computing and Information Systems (CIS), University of Melbourne. She also serves as Associate Dean (Diversity and Inclusion) for the Faculty of Engineering and IT, demonstrating leadership in both research and academic community development. Her research lies at the intersection of database systems, machine learning, and artificial intelligence, with a vision of creating adaptive, self-driving database engines that optimize query execution in real-time. Her work spans learned indexes, query optimization, data quality, and data-driven traffic optimization, aiming to reduce costs and improve performance in data analytics. The recent publications reflect a strong trend toward integrating machine learning into core database operations—particularly through learned indexes, bandit-based tuning, and reinforcement learning for traffic systems. These works emphasize automation, provable guarantees, and real-time adaptation, showcasing a cohesive research agenda focused on intelligent, self-optimizing data systems. Her scientific excellence is recognized by numerous awards, including: L'Oréal-UNESCO for Women in Science Fellowship (2023) Victorian Young Tall Poppy (2024) Test of Time Award at SIGMOD 2022 Multiple Research and Teaching Excellence Awards from the University of Melbourne Google Research Inclusion Award (2021) She actively mentors PhD students and leads significant research projects funded by the Australian Research Council, Google, and Telstra. Her service includes roles as Associate Editor for SIGMOD Record, conference organization (e.g., aiDM, ADC, VLDB), and leadership in diversity and inclusion initiatives. She has also contributed to influential publications such as a chapter in the 7th edition of Database System Concepts . Her research lab focuses on AI-powered databases, traffic optimization via reinforcement learning, and self-healing data systems, positioning her at the forefront of next-generation data management.

Michele Lanzaمشاهده پروفایل

استاد

• Software Engineering
• Software Visualization
• Software Evolution
• +۷ مورد دیگر

Michele Lanza is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), Lugano, where he co-founded the faculty in 2004. He is the founder and director of the Software Institute (since 2017) and leads the REVEAL research group, focusing on software visualization, evolution, and analytics. He holds a PhD from the University of Bern (2003), where he also earned his MSc (1999), and was a postdoctoral researcher at the University of Zurich. Research Interests: Software Engineering Software Visualization (notably the 'City Metaphor') Mining Software Repositories (MSR) Software Evolution and Analytics Program Comprehension Reverse Engineering and Architecture Recovery His recent publications (2023–2025) emphasize immersive software visualization in virtual reality, automated documentation, code refactoring, and empirical studies on developer behavior and documentation. There is a strong trend toward human-centric, visual, and data-driven approaches, often leveraging VR and interactive tools for deeper software understanding. Scientific Awards: Ernst Denert Award (2003) Credit Suisse Teaching Award (2007, 2009) Best Paper Awards (SANER 2024, VISSOFT 2022, ICPC 2016) Most Influential Paper Award (MSR 2010) Advising and Grants: Prof. Lanza has supervised over 13 PhD students and numerous MSc and BSc theses, fostering a vibrant research group. He leads multiple funded projects, including SNF grants (FORCE, TUML, INSTINCT, PROBE, ESSENTIALS, BIGDATA), FFL (CSRD), and industry R&D initiatives. Funding supports travel, hardware, software, and PhD positions, enabling cutting-edge research in software engineering. Labs and Teams: He leads the REVEAL research group and the Software Institute at USI, which serve as hubs for innovation in software visualization, mining, and evolution. These teams are highly collaborative, interdisciplinary, and active in top-tier conferences (ICSE, FSE, ICSME, MSR, VISSOFT).

Thomas Studerمشاهده پروفایل

استاد

• Logic
• Theoretical Computer Science
• Formal Methods
• +۴ مورد دیگر

Thomas Studer is a Professor of Computer Science at the University of Bern, leading the Logic and Theory Group. He holds a PhD in Computer Science from the University of Bern (2001) and has worked as a senior software engineer before returning to academia. His research focuses on mathematical logic, formal methods, blockchain technology, and data privacy. He serves on the board of the Swiss Society for Logic and Philosophy of Science and chairs the computer science committee for the Matura exam in Canton Bern. Research interests include justification logic, modal logics, proof theory, and applications in blockchain and secure systems. Recent work explores synergistic knowledge in distributed systems, conversational explanation frameworks, and probabilistic justification logics. He co-authored books on relational databases and logics of proofs. Leadership roles include the Executive Committee of SCNAT’s Platform MAP (2016–2024). He advises on technical and ethical challenges in AI and cryptography, contributing to international conferences and editorial boards.

Diego Ulisse Pizzagalliمشاهده پروفایل

پژوهشگر

• Computational Medicine
• Immunology
• Machine Learning
• +۵ مورد دیگر

Diego Ulisse Pizzagalli is an independent researcher in Computational Medicine affiliated with the Faculty of Biomedical Sciences at the Università della Svizzera italiana (USI), the Euler Institute, and the Institute for Research in Biomedicine (IRB). He holds roles as a lecturer at USI and teaching assistant, focusing on machine learning in medicine and signal processing. His work bridges immunology and AI, with projects involving wearable device monitoring in chronic diseases and the development of digital biomarkers. His research focuses on applying artificial intelligence to understand immune responses, tissue remodelling, and chronic diseases. Key areas include trajectory analysis of immune cells using intravital microscopy, predictive models for disease complications, and bioimage analysis. He leads the IMMUNEMAP initiative, an open immunology data platform, and collaborates on hardware prototyping for medical applications. Pizzagalli’s recent work emphasizes AI-driven medical imaging tools (e.g., CompositIA for CT scans, deep learning in forefoot morphology analysis) and trajectory-based studies of immune cell behavior. His projects integrate clinical data with computational models, such as predicting hospital admissions in chronic liver disease patients using wearable sensors. He co-leads projects funded by systemsx.ch, Apple Inc., and others. Supervises BSc/MSc students. The Digital Pathophysiology Lab at Euler Institute serves as his primary research base, promoting interdisciplinary collaboration in biomedical imaging, trajectory mining, and wearable sensor development.

Matteo Spadaمشاهده پروفایل

پژوهشگر

• Risk Assessment
• Resilience Assessment
• Multi-Criteria Decision Analysis
• +۴ مورد دیگر

Dr. Matteo Spada is a Senior Researcher in Risk and Resilience at the Zurich University of Applied Sciences (ZHAW) School of Engineering, where he focuses on Technology Assessment. His research spans multiple institutions including the Paul Scherrer Institute, Swiss Seismological Service, and Istituto Nazionale di Geofisica e Vulcanologia in Italy. His educational background includes a Ph.D. in Earth Sciences from ETH Zurich (2006-2011) and an MSc in Physics from the University of Bologna (1999-2005). Dr. Spada's research focuses on risk and resilience assessment of critical infrastructure systems, with particular expertise in energy systems, natural hazards, and multi-criteria decision analysis. His work integrates quantitative methods with practical applications to inform policy and decision-making processes related to infrastructure safety and security. He has developed innovative approaches for probabilistic risk assessment, uncertainty quantification, and decision support systems that have been applied across multiple sectors including energy, water resources, and transportation. His recent work has particularly emphasized the energy transition, analyzing comparative accident risks across different energy technologies and developing frameworks for assessing resilience of electricity supply systems. Through his research, he has contributed to understanding the societal implications of energy infrastructure failures and developing methodologies for more robust risk assessment. Dr. Spada is an active member of several professional networks including the European Safety and Reliability Association (ESRA), the Institute for Operations Research and the Management Sciences (INFORMS), and the Special Activity Group - Sustainable Concrete Structures of the International Federation for Structural Concrete. He leads several research projects including 'Innovative Spatio-Temporal multi-criteria decision analysis Interface to support informed decision-Making for real-world applications' and contributes to initiatives focused on urban energy transition, resilient supply chains, and building decarbonization. His work often involves interdisciplinary collaboration with engineers, economists, and policy experts to address complex infrastructure challenges. Dr. Spada maintains an active research laboratory focused on risk and resilience assessment, where his team develops and applies advanced analytical methods to real-world infrastructure challenges. The lab utilizes a combination of statistical modeling, simulation techniques, and decision analysis tools to support evidence-based policy making.

Matthias Leeseمشاهده پروفایل

استادیار

• Technology and Governance
• International Relations
• Criminology
• +۴ مورد دیگر

Matthias Leese is an Assistant Professor for Technology and Governance at ETH Zurich's Department of Humanities, Social and Political Sciences. His research bridges International Relations, Criminology, and Science and Technology Studies, focusing on how technological tools reshape security practices and governance. He leads the CURATE Project (ERC/SERI Grant) examining data quality in European law enforcement and border control, and serves on the DATAMIG EU COST Action Management Committee for migration technology research. His research emphasizes qualitative empirical methods to study socio-technical relations in security contexts, including predictive policing, aviation security, and EU databases. Recent work explores data temporalities, algorithmic accountability, and the socio-political impacts of security technologies. Leese's articles analyze topics like algorithmic accountability in criminal justice, data quality frameworks in migration governance, and the evolution of EU security systems. He co-edits the Journal of International Relations and Development and contributes to policy discussions on digital sovereignty and ethical technology implementation. Grants: CURATE (ERC/SERI Starting Grant), DATAMIG (EU COST Action) Teaching: Focuses on technology governance, security studies, and research methods. Labs/Teams: Leads the Technology and Governance research group at ETH Zurich.

Maja Weilenmannمشاهده پروفایل

استادیار

• Biodiversity
• Ecology
• Animal Behavior
• +۴ مورد دیگر

Maja Weilenmann is a part-time Assistant Professor at the Department of Evolutionary Biology and Environmental Studies , University of Zurich, Switzerland. She also serves as a Fachreferentin (subject specialist) at the same institution. Her work focuses on data handling, analysis, and presentation across diverse ecological contexts. Education: M.Sc. in Zoology (Animal Behavior) with a minor in Psychology (Cognition) from the University of Zurich (2001) Research interests span biodiversity experiments in grasslands and forests, movement patterns of leopards and house mice, feeding behavior of minke whales, and communication in orcas. Her work integrates data analysis with ecological and behavioral studies for conservation and ecosystem management. Selected publications highlight her contributions to biodiversity-ecosystem functioning relationships, tropical forest restoration, wildlife translocation strategies, and ecological forecasting. These studies emphasize data-driven approaches across terrestrial and marine systems. Labs and teams include collaborations with the Owen Petchey Group and Andy Hector Group at the University of Zurich, as well as ORES (The Ocean Research and Education Society) in Solothurn, Switzerland. Her roles involve fieldwork, database management, and computational analysis.

• Medical Informatics
• Semantic Web
• Ontology Engineering
• +۷ مورد دیگر

Jean-Paul Calbimonte is an Associate Professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) , specifically affiliated with the School of Business Administration . His research spans multiple domains, including Medical Informatics , Semantic Web , Ontology Engineering , Stream Processing , and Knowledge Management . His recent work focuses on AI applications in healthcare (Alzheimer’s diagnosis via MRI analysis, cancer survivor support systems), semantic web technologies for wind energy data sharing, and decentralized health data management systems. He leads projects like TechnoPortal (ontology hosting for wind energy) and SMARTEDGE (edge intelligence toolchain). He employs cutting-edge methods in Machine learning for medical diagnostics Semantic stream processing Blockchain for clinical data governance Multi-agent systems for personalized healthcare His publications highlight collaborations with institutions like CHUV , Pryv SA , and University of Maribor , alongside industry partners including NVIDIA and Bosch .

Sven Helmerمشاهده پروفایل

استاد

• Database Systems
• Big Data Analytics
• Semantic Computing
• +۲ مورد دیگر

Prof. Dr. Sven Helmer is a Professor in the Department of Informatics at the University of Zurich. Previously held positions include Associate Professor at the Free University of Bozen-Bolzano and Senior Lecturer at Birkbeck, University of London. He obtained his PhD from the University of Mannheim. Research Focus: Database technology, big data analytics, query optimization, and distributed systems. Key interests include scalable indexing, time series analysis, and semantic computing. Recent Publications: Work spans query optimization, graph data structures, and educational methodologies in data science. Dominant themes include scalability in database systems and algorithmic innovations for dynamic data. Awards: Distinguished Reviewer Award, ICDE'20 Best Paper Award, ADBIS'17 Best Teacher Award 2013 Contact: Binzmühlestrasse 14, CH-8050 Zürich. Office BIN 2.E.09. Email: helmer@ifi.uzh.ch. Phone: +41 44 635 67 28.

Nicoletta Fornaraمشاهده پروفایل

مدرس

• Artificial Intelligence
• Multiagent Systems
• Normative Multiagent Systems
• +۵ مورد دیگر

Nicoletta Fornara is a Lecturer and researcher at the Institute of Digital Technologies for Communication (ITDxC) within the Faculty of Communication, Culture and Society at Università della Svizzera italiana (USI), Lugano. Her research focuses on normative multiagent systems, artificial institutions, and semantic web technologies applied to regulate autonomous agents and empower individual sovereignty. She holds a PhD in Communication Sciences from USI (2003) and a cum laude M.Sc. in Computer Science from the University of Milan (1995). Her roles include Scientific Coordinator of the Institute for Communication Technologies at USI and Co-Chair of the W3C ODRL Community Group. She has led or co-led multiple grants, including projects on generative AI in education (2024), automatic monitoring of norms (2018-2023), and web data collection frameworks (2013-2015). She has served on program committees for AAMAS, IJCAI, and ECAI, and her work spans over 50 peer-reviewed publications in journals like AI Communications and Artificial Intelligence Review. Her teaching spans digital technologies for communication at USI since 2000, database courses at Politecnico di Milano (2005-2020), and roles at SUPSI (2010-2011). She has coordinated international projects under EU COST Actions and Swiss National Science Foundation grants, advancing policy modeling and semantic web applications in multiagent systems.