جست‌وجوی استاد و پژوهشگر

Norman Backhausمشاهده پروفایل

استاد

• Human Geography
• Spatial Appropriation
• Nature Conservation
• +۱۲ مورد دیگر

Norman Backhaus is a Professor and Head of the Space, Nature and Society unit at the Department of Geography, University of Zurich. He serves as Co-director of both the Department of Geography and the University Priority Program Global Change and Biodiversity. His research centers on spatial appropriation, nature conservation, tourism, and sustainable development, with fieldwork conducted in Asia and Switzerland. His research interests include: Human-Environment Interactions Landscape Perception and Services Political Ecology of Conservation Transdisciplinary Approaches to Sustainability Urban and Rural Spatial Practices Globalization and Local Responses His recent publications reveal consistent engagement with socio-ecological systems, stakeholder values, and participatory governance in protected areas. Themes include landscape services, human-wildlife coexistence, post-pandemic tourism impacts, and innovative methods like chemoethnography and speculative fabulation in environmental research. His scientific awards include: Albert Mountain Award (2014) Transdisciplinarity Award (2006) for the project 'The Power of Images' Norman Backhaus has supervised numerous doctoral and master's students, and has led major transdisciplinary research projects involving collaborations with Swiss National Park, WSL, ETH Zurich, and international partners in Nepal, Georgia, Tajikistan, and Malaysia. He teaches courses in human geography, research methods, and political ecology, and has developed influential educational resources on landscape and sustainability. He leads the 'Space, Nature and Society' research unit, which conducts interdisciplinary work on environmental governance, landscape values, and sustainable spatial development, often in collaboration with public agencies and NGOs.

Giuliano Formisanoمشاهده پروفایل

پژوهشگر ارشد

• Political Behavior
• Political Communication
• Computational Social Science
• +۵ مورد دیگر

Giuliano Formisano is a Postdoctoral Research Fellow in the Political Science Department at the University of Zurich. He teaches courses in Political Campaign Strategy and Computational Approaches to Study Political Communication, with upcoming sessions scheduled for September-December 2025. His research focuses on political behavior and communication using advanced computational methods including machine learning, network analysis, and time-series modeling. His work sits at the intersection of political science and data science, with particular emphasis on polarization dynamics and natural language processing applications in political contexts. Dr. Formisano holds a PhD in Social Data Science from the University of Oxford (2025), with affiliations at both the Oxford Internet Institute and Nuffield College. He actively participates in the computational social science community, as evidenced by his engagement with relevant research on social media and his creation of a Political Communication/NLP/Text-as-Data Starter Pack on Bluesky. His professional presence includes a GitHub page (giulianoformisano.github.io) where he likely shares computational methods and research tools related to his work in political communication analysis.

• Artificial Intelligence
• Legal Education

Andrew Blair-Stanek is a Professor at the University of Maryland, Francis King Carey School of Law. His research focuses on the intersection of Artificial Intelligence and Legal Education , particularly evaluating AI systems like GPT-4 in law school examinations. He co-authored studies analyzing AI's academic performance in various legal disciplines.

• Applied Microeconomics
• Microeconometrics
• Labor Economics
• +۸ مورد دیگر

Mattia Albertini is a Post-Doctoral Researcher at the Institute for Economic Research (IRE) within the Faculty of Economics at Università della Svizzera italiana (USI). He previously completed his Ph.D. at the Institute of Economics (IdEP), USI, and participated in the Swiss Program for Beginning Doctoral Students in Economics. He holds a Master of Science in Economics with a minor in Data Science from USI and a Bachelor in Economics from the University of Pavia. Bachelor in Economics, University of Pavia Master of Science in Economics (minor in Data Science), Università della Svizzera italiana Ph.D. in Economics, Università della Svizzera italiana Swiss Program for Beginning Doctoral Students in Economics, Swiss National Bank His research focuses on applied microeconometrics with applications in health, labor, public, urban, and environmental economics. A recurring theme in his work is the spatial dimension of economic outcomes, including residential integration, real estate market dynamics, and geographic proximity to borders or hazards. He integrates data science techniques, particularly programming in Python and STATA, to develop tools for empirical analysis and reproducible research. The collection of articles reflects a strong trend in applied econometrics, causal inference, and spatial analysis. His work spans health economics (e.g., benzodiazepine prescribing), labor and urban economics (e.g., migration, job accessibility), and environmental and insurance economics (e.g., natural hazard impacts). Methodologically, he engages with difference-in-differences, event study designs, spatial modeling, and text analysis, often building or applying computational tools to address research questions. He has contributed to teaching at both the Bachelor's and Master's levels, particularly in microeconomics, macroeconomics, and data-intensive courses such as Textual Analysis and Spatial Data for Economists. Teaching Assistant, Microeconomics A (Bachelor) Teaching Assistant, Macroeconomics B (Bachelor) Teaching Assistant, Textual Analysis and Spatial Data for Economists (Master) Mattia Albertini is actively involved in open science, sharing code for econometric methods, data visualization, and application development (e.g., a gluten-checking app) on GitHub. His interdisciplinary approach combines economic theory, statistical modeling, and computational tools to investigate real-world policy-relevant questions.

Edy Portmannمشاهده پروفایل

استاد

• Fuzzy Logic
• Cognitive Cities
• Computational Intelligence
• +۱۲ مورد دیگر

Edy Portmann is a Professor at the Department of Informatics, University of Fribourg, where he leads the Resilient Systems Group at the Human-IST Institute and chairs the Mobiliar Cluster for Resilience. He holds a doctorate in fuzzy logic and has extensive experience in both academia and industry, having worked at Swisscom, PwC, and EY, and conducted research at the National University of Singapore, UC Berkeley, and the University of Bern. His research interests include Fuzzy Logic , Cognitive Cities , Computational Intelligence , Digital Ethics , and Human-Computer Interaction . He explores how fuzzy systems can enhance knowledge representation, decision-making, and urban governance, particularly in smart and resilient city contexts. His work integrates digital humanities and connectivist learning theories to bridge the social and semantic web. The recent publications (2022–2025) highlight a strong trend toward ethical AI , explainable systems , public participation , and the application of fuzzy logic in conversational agents , decision support , and urban informatics . He frequently publishes on topics such as digital ethics, emotional chatbots, and systemic consensus in group decision-making. HMD Best Paper Award 2018 He advises several PhD and research students and collaborates extensively with researchers such as Sara D’Onofrio, Patrick Kaltenrieder, and Luis Terán. His work often involves interdisciplinary grants and partnerships with public institutions like Swiss Post. He leads a dynamic research team focused on resilient, human-centered computing and cognitive city technologies.

Juan Carlos Farahمشاهده پروفایل

پژوهشگر

• Educational Technology
• Artificial Intelligence in Education
• Learning Analytics
• +۴ مورد دیگر

Juan Carlos Farah is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL), holding dual appointments in the Fondation Bertarelli Chair in Neuroprosthétique Cognitive (School of Life Sciences/SV) and the SCI-STI-DG group (School of Engineering/STI). His work bridges neuroscience, artificial intelligence, and educational technology, focusing on innovative applications of AI in learning environments and neuroprosthetics research. Research Interests: Farah’s research spans educational chatbot design, AI-enhanced learning analytics, neuroprosthetic systems, and the ethical integration of technology in education. He has pioneered frameworks for task-oriented conversational agents, blockchain-based learning trace repositories, and gamified computational thinking tools. Key Projects: He contributed to the Graasp Desktop initiative for underconnected African schools and developed the TRACE model for educational chatbots. His work on code review notebooks and bot-mediated software engineering education has influenced pedagogical practices globally. Awards & Recognition: No specific awards listed, but his publications reflect high-impact contributions to IEEE, ACM, and Elsevier journals/conferences. Active in global initiatives like UNESCO’s Unequal World Conference on education equity. Technical Expertise: Proficient in Python, JavaScript, and AI toolkits. Specializes in building scalable educational platforms, learning analytics pipelines, and neuroimaging analysis for cognitive studies.

Siegfried Handschuhمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Prof. Dr. Siegfried Handschuh is a Full Professor for Data Science and Natural Language Processing at the Institut für Informatik (ICS-HSG), University of St. Gallen. His research focuses on advanced NLP techniques, financial text analysis, and AI-driven solutions in cybersecurity and education. He leads projects like CS-AWARE-NEXT, enhancing cybersecurity awareness in public institutions. Prof. Handschuh has authored over 100 publications, with recent work emphasizing transformer optimization, generative AI applications, and educational tools for argumentative writing. His team collaborates with companies like Rheasoft and Peracton on AI-powered financial analytics and cybersecurity systems. Education: Doctorate in Computer Science, specialized in knowledge representation and semantic web technologies. Research Interests: Data science, machine learning, financial NLP, cybersecurity, and AI in education. His work bridges academia and industry, addressing real-world challenges in finance, cybersecurity, and educational technology through innovative AI frameworks.

Armin Koppertمشاهده پروفایل

مدرس

• Artificial Intelligence
• Digitization
• Computer Science
• +۷ مورد دیگر

Armin Koppert is the Vice Rector for Teaching at Kalaidos Business School and a Lecturer at Kalaidos University of Applied Sciences. He heads multiple study programs including Business Information Technology, Computer Science, and Industrial Engineering at both bachelor's and master's levels, and serves as a master's student advisor. His research spans interdisciplinary fields with a focus on: Technology-driven domains: Artificial Intelligence , Computer Science , and Business Informatics Business and management: Supply Chain Management , Corporate Management , and Marketing Emergent trends: Digitization , Social Media , and Industrial Engineering His sole publication explores AI prompt optimization , emphasizing practical applications in educational and business contexts aligned with his expertise in human-AI collaboration. No awards, grants, or lab affiliations are documented.

Nina Kazaninaمشاهده پروفایل

استاد

• Neuroscience of Language
• Neural Mechanisms of Linguistic Computation
• Cognitive Neuroscience
• +۳ مورد دیگر

Prof. Nina Kazanina is a faculty member in the Department of Basic Neurosciences at the University of Geneva’s Faculty of Medicine. She co-directs the NCCR Evolving Language and previously served as an Associate Professor in Psychology and Cognitive Neuroscience of Language at the University of Bristol’s School of Psychological Science. Research focuses on the neural mechanisms underlying language, memory, and cognitive domains Lab employs EEG, MEG, fMRI, and behavioral methods Translational work targets language assessment in neurodegeneration and stroke Recent work explores grammatical abstraction in language models, neural oscillations in syntax, and reward-modulated memory. Her lab investigates how the brain encodes linguistic categories and hierarchical structures, bridging neuroscience and theoretical linguistics. Key translational applications include cognitive assessment across the lifespan. Lab members include postdocs (Theo Desbordes, Berk Gercek, Mamady Nabe, Itsaso Olasagasti) and PhD student Katarina Labancova. Contact: nina.kazanina@unige.ch

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Philip Garner is a Lecturer at the L'IDIAP Laboratory , a research institution specializing in artificial intelligence, signal processing, and human-computer interaction. His role involves teaching and research activities within this interdisciplinary environment. Dr. Garner's research interests span artificial intelligence , machine learning , and language technology , with applications in signal processing and interactive systems. While no specific awards or publications are listed in the available information, his position at L'IDIAP suggests active contributions to these domains.

Luca Verginerمشاهده پروفایل

مدرس

• Network Science
• Empirical Economics
• Supply Chain Management
• +۴ مورد دیگر

Luca Verginer is a Lecturer at the Department of Management, Technology, and Economics within ETH Zurich. His work bridges empirical economics and network science, focusing on pharmaceutical supply chains, patent dynamics, and social network impacts. Current affiliation: ETH Zurich (School of Management and Social Sciences) Academic rank: Lecturer His research integrates causal inference, advanced econometrics, and deep learning methods like Graph Neural Networks (GNN) and Natural Language Processing (NLP) to address policy and strategic challenges in healthcare and innovation. Key trends in his publications include: Quantifying supply chain resilience through reroute flexibility Analyzing scientist mobility networks and global cities' dominance Studying social dynamics in online radicalization and migration Methodologically, he employs agent-based modeling, big data analytics, and empirical validation across diverse domains from opioid distribution to academic collaboration. His work demonstrates strong interdisciplinary focus, combining economics, computational methods, and policy analysis to tackle real-world challenges in healthcare systems and knowledge production networks.

Tobias Wekhofمشاهده پروفایل

مدرس

• Environmental Economics
• Sustainable Finance
• Applied Microeconomics
• +۳ مورد دیگر

Tobias Wekhof is a Lecturer at the Department of Management, Technology, and Economics at ETH Zurich. His research focuses on environmental economics, sustainable finance, and applied microeconomics, utilizing advanced methodologies such as econometrics, natural language processing (NLP), and machine learning. He is actively engaged in promoting sustainability in economic and financial practices.

• Computational Linguistics
• Eye-tracking
• Machine Learning
• +۵ مورد دیگر

Lena Jaeger is an Associate Professor of Digital Linguistics at the University of Zurich, where she leads research at the intersection of linguistics, computational cognitive science, and machine learning. She joined the Chair of Computational Linguistics at UZH in July 2020 after establishing a Machine Learning Junior Research Group at the University of Potsdam, funded by the German Federal Ministry of Education and Research. Her educational background spans multiple disciplines: she earned an MA in Chinese Language and Culture (Sinology) from the University of Freiburg im Breisgau, Tongji University Shanghai, Beijing Language and Culture University, and Université Paris 7 Denis-Diderot; followed by an MSc in Experimental and Clinical Linguistics at the University of Potsdam; and completed her doctorate in cognitive science at the same institution. Notably, she also earned a bachelor's degree in computer science during or after her doctoral studies. Professor Jaeger's research focuses on investigating cognitive mechanisms underlying human language processing using experimental psycholinguistics, computational modeling, and machine learning methods. Her current work develops machine learning techniques for analyzing eye-tracking data to understand cognitive processes reflected in eye movement behavior. This interdisciplinary approach combines insights from linguistics, cognitive science, and artificial intelligence to create models that bridge human and machine language understanding. Her recent publications reveal a strong trend toward developing eye-tracking methodologies, creating multilingual corpora, and applying machine learning to understand reading behavior and language processing. Her work spans from fundamental research on cognitive mechanisms to practical applications in educational technology, medical diagnostics, and AI development. Best student late breaking work award for Reporting Eye-Tracking Data Quality: Towards a New Standard Best short paper award for Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models Professor Jaeger actively supervises multiple PhD students across computational linguistics, machine learning, and phonetics disciplines. Her research group collaborates extensively on large-scale projects like the MultiplEYE initiative, which establishes standards for multilingual eye-tracking data collection. She has secured significant research funding, including a Machine Learning Junior Research Group grant from the German Federal Ministry of Education and Research before moving to UZH. Her laboratory work centers on eye-tracking methodologies, developing tools like pymovements for eye movement data processing, and creating comprehensive corpora such as MECO (Multilingual Eye-Movement Corpus), MultiplEYE, and CoLAGaze. These resources support cross-linguistic research on reading behavior and language processing across diverse populations.

Denis Ribeaudمشاهده پروفایل

پژوهشگر

• Criminology
• Developmental Psychology
• Sociology of Violence
• +۵ مورد دیگر

Denis Ribeaud serves as Senior Research Associate and Co-Project Director of the Zurich Project on the Social Development from Childhood to Adulthood (z-proso) at the University of Zurich's Faculty of Arts and Social Sciences. Since 2006, he has directed the Zurich Youth Surveys (ZYS), which track youth violence trends in Zurich canton using representative student samples. The z-proso project, ongoing since 2003 with over 1,300 participants, examines longitudinal development of violence and problem behaviors through repeated surveys. His educational background includes: Sociology and Social Psychology studies at the University of Zurich PhD in Criminology from the University of Lausanne, where he worked at the Criminological Institute for several years Ribeaud's research focuses on criminology and developmental psychology, specifically investigating how peer victimization, parenting behaviors, socio-emotional skills, and harsh environments influence violence perpetration, mental health, and substance use across adolescence. His work integrates biological measures (e.g., hair cortisol analysis), ecological momentary assessment, and advanced statistical modeling to map causal pathways in youth development. Key specialties include longitudinal cohort design, transdiagnostic mental health analysis, and validation of behavioral instruments. Recent publications reveal heavy emphasis on multi-method approaches combining biological data with psychological assessments. He explores gene expression changes from victimization, hormonal correlates of aggression, and machine learning applications in EMA data, while consistently addressing Zurich-specific youth cohorts. His articles highlight Switzerland-focused violence research, substance use patterns in immigrant vs. native adolescents, and pandemic impacts on young adult coping mechanisms. No scientific awards were documented in the provided materials. Ribeaud's project leadership implies grant management and student supervision, though specific advisees or funding details are absent. His z-proso role involves coordinating cross-disciplinary teams across 13+ years of data collection, suggesting substantial advisory responsibilities in research design and execution. He directs the z-proso project and Zurich Youth Surveys (ZYS), major longitudinal initiatives based at the University of Zurich. These projects maintain archives of data collections from 2004-2022 and employ interdisciplinary teams for analyzing youth violence, mental health, and social decision-making through combined survey and biomarker approaches.

Srikanth Madikeriمشاهده پروفایل

مدرس

• Automatic Speech Recognition
• Speaker Recognition
• Language Recognition
• +۳ مورد دیگر

Dr. Srikanth Madikeri is a Lecturer and Senior Researcher at the University of Zurich's Department of Computational Linguistics. He holds a Ph.D. in Computer Science from IIT Madras (2013) and a Bachelor of Engineering from Anna University (2008). Before joining UZH, he spent 11 years at Idiap Research Institute as a Postdoctoral Researcher and Research Associate. His research focuses on low-resource speech technologies, including Automatic Speech Recognition (ASR), Speaker Diarization, Language Recognition, and Spoken Dialog Systems. He specializes in adapting models for challenging domains like air traffic control and criminal investigations. Recent publications demonstrate strong trends in multimodal systems, domain adaptation for ASR, and efficient data selection techniques. His work frequently integrates speech processing with NLP tasks and criminal network analysis. Awards: Best Paper Award in Signal Processing Track (NCC 2011) International Create Challenge 2017 Winner He teaches Speech Technology and Machine Learning for Computational Linguistics at UZH. Professional activities include serving as Area Chair for Interspeech (2021-2022) and developing open-source toolkits like pkwrap for LF-MMI training.