جست‌وجوی استاد و پژوهشگر

Robert Weibelمشاهده پروفایل

استاد

• Geographic Information Science
• Cartographic Generalization
• Movement Analysis
• +۱۰ مورد دیگر

Robert Weibel is a Professor in the Department of Geography at the University of Zurich, where he conducts cutting-edge research in Geographic Information Science (GIScience), cartographic generalization, movement analysis, and human mobility. His work bridges computer science, geography, and health sciences, with strong applications in aging, environmental monitoring, and urban planning. Research Interests: His primary research areas include: Computational movement analysis and trajectory modeling Cartographic and map generalization using AI and deep learning Indoor and outdoor navigation systems Spatial cognition and human mobility GIScience and geospatial data science Linguistic geography and dialect modeling Publication Trends: His recent publications (2023–2025) reflect a strong focus on AI-driven map generalization (e.g., SpaGAN, GNNs), explainable AI in cartography, indoor navigation modeling, and interdisciplinary studies on human mobility in aging and post-stroke recovery. He frequently publishes in top journals such as the International Journal of Geographical Information Science , ISPRS Journal , and Computers, Environment and Urban Systems . Scientific Contributions: Robert Weibel is a leading figure in GIScience, particularly in map generalization and movement data science. He has contributed to major research initiatives including the MOBITEC-Stroke project and has co-organized key conferences like GIScience. His work on real-time generalization, semantic modeling, and deep learning for cartography has advanced the field significantly. Advising and Collaboration: He has supervised numerous students and collaborators across disciplines, including in gerontology, computer science, and ecology. His research often involves interdisciplinary teams and international partnerships. Labs and Teams: He is affiliated with the GIScience research group at the University of Zurich, contributing to projects involving mobile mapping, real-time data processing, and spatial analytics. His work is integral to the development of intelligent geospatial systems and e-learning in GIS (e.g., the GITTA project).

Stefano Albiniمشاهده پروفایل

پژوهشگر

• Embedded Systems
• Computer Engineering
• Electrical Engineering
• +۱ مورد دیگر

Stefano Albini is a Researcher at the Embedded Systems Laboratory (ESL) within the Institute of Electrical Engineering and Microengineering at the School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL). He is also a doctoral student in the Doctoral Program in Electrical Engineering. Email: stefano.albini@epfl.ch Phone: +41 21 693 26 68 Office: ELG 121, EPFL, Station 11, 1015 Lausanne Research Interests His work focuses on embedded systems, integrating computer engineering and electrical engineering principles to design specialized computing systems for mechanical or electrical applications. His research also intersects with microengineering, emphasizing hardware-software co-design and real-time system optimization.

Rubén Rodríguez Álvarezمشاهده پروفایل

پژوهشگر

• Embedded Systems
• Electrical Engineering
• Computer Science
• +۳ مورد دیگر

Dr. Rubén Rodríguez Álvarez is a Doctoral Assistant at the Embedded Systems Laboratory (ESL), affiliated with the School of Engineering (STI) at École Polytechnique Fédérale de Lausanne (EPFL). As both a doctoral student and staff member, his work bridges academic research and technical implementation within the Electrical Engineering domain. Current role: Doctoral Assistant (Researcher-equivalent) Affiliation: EPFL, STI, IEM, ESL Research focus: Embedded systems, cyber-physical systems, and machine learning applications His work primarily explores interdisciplinary applications of embedded systems in modern technological challenges, including real-time computing and IoT integration. Contact: ruben.rodriguezalvarez@epfl.ch

Amirhossein Shahbaziniaمشاهده پروفایل

پژوهشگر

• Embedded Systems
• Electrical Engineering
• Computer Architecture
• +۳ مورد دیگر

Amirhossein Shahbazinia is a Researcher at the Embedded Systems Laboratory (ESL) within the Institute of Electrical Engineering and Microengineering (IEM) at École Polytechnique Fédérale de Lausanne (EPFL). He is also pursuing a Doctoral Program in Electrical Engineering.

• 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.

Mathilde Dugenneمشاهده پروفایل

استادیار

• Microbiology
• Plankton Ecology
• Aquatic Ecosystems
• +۷ مورد دیگر

Dr. Mathilde Dugenne is an Assistant Professor at the University of Geneva, affiliated with the Faculty of Science and the Department of Biology. Her research focuses on plankton species and their critical role in regulating Earth's climate and supporting aquatic food webs. She is actively involved in the ALGA project (Efflorescences Algales dans le Léman face aux Changements Globaux), which investigates phytoplankton and cyanobacteria blooms in Lake Geneva. Her work integrates microbiology, imaging technology, and machine learning to monitor and understand plankton diversity and dynamics. Using data from the LéXPLORE platform, she develops AI-based tools for real-time classification of phytoplankton, aiming to support early detection of harmful blooms and inform environmental decision-making for lake stakeholders. Research spans microbial ecology, climate impacts on aquatic systems, and AI-driven environmental monitoring. Focus on practical applications for water quality, public health, and ecosystem management in Lake Geneva. Dr. Dugenne has expertise in plankton taxonomy, imaging instruments for species identification, and mathematical modeling. Her interdisciplinary approach combines field observations with computational methods to address pressing environmental challenges. She has not listed any scientific awards in the provided text. Dr. Dugenne is actively mentoring students and leading research initiatives, though specific advisees are not named. Her project ALGA involves collaboration with environmental scientists and stakeholders to develop decision-support tools. She is involved in securing and managing research grants related to environmental monitoring and climate change impacts, although specific grants are not detailed. Her work is closely tied to the LéXPLORE platform on Lake Geneva, a floating observatory dedicated to long-term ecological research. This platform enables high-frequency monitoring of physical, chemical, and biological parameters, forming the backbone of her team's data collection for plankton dynamics and bloom prediction.

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.

Gaétan Raynaudمشاهده پروفایل

پژوهشگر

• Fluid-structure interaction
• Fluid Dynamics
• Mechanical Engineering
• +۳ مورد دیگر

Gaétan Raynaud is a Researcher and Doctoral Assistant at the École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with the Unsteady Flow Diagnostics Laboratory (UNFOLD) within the Institute of Mechanical Engineering (IGM) under the School of Engineering (STI) . His research focuses on fluid-structure interaction, fluid dynamics, and robotics, with applications in areas such as soft robotics, material design, and real-time sensing systems. He contributes to projects like the development of highly agile flat swimming robots and studies on flapping flag dynamics. His work integrates experimental fluid mechanics, computational modeling, and machine learning approaches, such as Physics-Informed Neural Networks (PINNs), to solve complex fluid-structure interaction problems and optimize robotic systems. Labs/Teams: UNFOLD Lab (EPFL), collaborating on interdisciplinary projects involving robotics, fluid dynamics, and soft materials. Technical Expertise: Event-based sensing, soft robotics actuation, data-driven modeling, and computational fluid dynamics.

• Human-Computer Interaction
• Usability Engineering
• User Experience (UX)
• +۵ مورد دیگر

Andreas Sonderegger is a Lecturer at the Department of Psychology , University of Fribourg , and group leader of the Human Factors Lab . His research focuses on Human-Computer Interaction , Usability Engineering , and User Experience (UX) , with particular emphasis on: Web accessibility for diverse user groups Neurofeedback systems for cognitive enhancement Human factors in automated driving Cross-cultural usability testing Physiological computing for user state assessment His recent publications analyze: Neurofeedback applications for tinnitus treatment Human-AI decision-making comparisons Physiological indicators in automated driving Usability of no-code robotics programming He has contributed to journals such as: Computers in Human Behavior Scientific Reports Ergonomics International Journal of Human Computer Studies

Daniel Huberمشاهده پروفایل

استاد

• Neuroscience
• Neurophysiology
• Optical Imaging
• +۲ مورد دیگر

Prof. Daniel Huber is a leading neuroscientist at the University of Geneva , focusing on understanding sensorimotor integration and cortical dynamics. His work bridges motor cortex research , optical imaging , and computational modeling to decode how neural circuits govern voluntary movements and tactile perception. Research spans rodent models and primate evolution through projects like the eLemur 3D brain atlas Key methodologies: in vivo two-photon microscopy , optogenetic manipulation , and biomechanical simulations Lab members include graduate students and collaborators studying Pacinian corpuscle physiology and forelimb motor control Recent publications reveal groundbreaking insights on lamellar Schwann cells' role in vibration perception , tonotopic mapping in the brainstem , and cross-species neural circuit comparisons . His team's 2025 Science Advances paper demonstrates Schwann cell contributions to mechanosensitivity using optogenetic inactivation. Current projects focus on neuronal network dynamics in decision-making and 3D anatomical frameworks for comparative studies. The lab's Swiss National Science Foundation grants and European Research Council funding enable these interdisciplinary approaches.

Christian Lüscherمشاهده پروفایل

استاد

• Neuroscience
• Synaptic Plasticity
• Drug Addiction Mechanisms
• +۳ مورد دیگر

Professor Christian Lüscher is a leading neuroscientist at the University of Geneva, focusing on the cellular and synaptic mechanisms underlying drug addiction. His research explores how addictive substances alter neuroplasticity in the mesolimbic dopamine system, particularly in the ventral tegmental area (VTA). Key Research Areas: Synaptic plasticity in addiction, µ-opioid receptor dynamics, neuroadaptive changes, and developing novel addiction therapies through optogenetics and neuroimaging. Techniques: Electrophysiology, genetic and pharmacological tools, in vivo imaging, and behavioral models. Recent Publications: His 2024-2025 work includes groundbreaking studies on fentanyl reinforcement mechanisms, sweat-based biosensors for substance abuse monitoring, and insights into overeating neurobiology. Earlier articles focus on cocaine-induced synaptic changes, NMDA receptor roles, and circuit models for addiction. Collaborations: Dr. Lüscher works with international experts in psychiatry, biomedical engineering, and neuroimaging, including colleagues at University of Geneva's CMU (Center for Medical Education) and institutions in the U.S. and Europe.

• Logistics Management
• Supply Chain Management
• Operations Research
• +۲ مورد دیگر

Dr. Maximilian Löffel serves as a Lecturer at ETH Zurich's Department of Management, Technology, and Economics (D-MTEC), affiliated with the Chair of Logistics Management (Professur für Logistikmanagement). Based at WEV F 121, Weinbergstrasse 56/58 in Zurich, Switzerland, he contributes to the institution's academic mission in quantitative management sciences. His research spans critical domains in modern logistics systems: Mathematical optimization of supply chains Digital transformation in transportation networks Sustainability-driven logistics modeling Technology-economics interfaces in global trade Real-time decision architectures for distribution systems Dr. Löffel's work integrates computational methods with economic theory to address complex logistical challenges in industrial and humanitarian contexts. His teaching focuses on analytical frameworks for logistics engineering within D-MTEC's curriculum. No scientific awards were documented in available sources. Information regarding student supervision, research grants, or laboratory affiliations remains unspecified in current institutional records.

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.

Wissem Soussiمشاهده پروفایل

پژوهشگر

• Networks and Systems Security
• Network Function Virtualization (NFV)
• Security Management
• +۲ مورد دیگر

Wissem Soussi is a PhD student and Researcher at the University of Zurich (UZH) and a research assistant at the Zurich University of Applied Sciences (ZHAW) within the Information Security Group. He holds a BSc in Computer Sciences from Montpellier University (2018) and an MSc in Cybersecurity from Grenoble University (2020), where his thesis focused on "RealPhish, a Real-Time Detector of Phishing Websites". University : University of Zurich and Zurich University of Applied Sciences Department : Institute for Informatics (IFI) at UZH and Information Security Group (IS) at ZHAW Education : BSc in Computer Sciences (Montpellier University, 2018), MSc in Cybersecurity (Grenoble University, 2020) His research interests center on networks and systems security , with a focus on Network Function Virtualization (NFV) security management , orchestration , and phishing detection . His recent publications address Moving Target Defense in next-generation networks (5G/6G), AI-enabled security , and GDPR compliance in vulnerability management. His work bridges theoretical frameworks with practical applications in cybersecurity and network management. He collaborates with researchers like Prof. Dr. Burkhard Stiller, Dr. Gürkan Gür, Maria Christopoulou, and George Xilouris. His affiliations include the Communication Systems Group (CSG) at UZH and the Information Security Group at ZHAW.

Yanick Lukicمشاهده پروفایل

مدرس

• Digital Health
• Applied Machine Learning
• Psychology
• +۳ مورد دیگر

Yanick Lukic is a Lecturer and Senior Researcher at the Zurich University of Applied Sciences (ZHAW) School of Engineering since 2023. He holds a PhD in Digital Health and Applied Machine Learning from ETH Zürich and has industry experience as Advisor at BreezeLabs AG and Chief Product Officer at heyPatient AG. Education: PhD (ETH Zürich), CAS in Higher & Professional Education (ZHAW School of Management and Law), B.Sc. & M.Sc. in Computer Science (ZHAW School of Engineering), Interaction Design specialization (Zurich University of the Arts). Research Interests focus on integrating Digital Health with Applied Machine Learning to develop Gameful Breathing Training Applications and Digital Biomarkers for Mental Health . His work bridges Human-Computer Interaction and Health Informatics , emphasizing user engagement and physiological feedback in mobile health solutions. Publications (2021–2023) include studies on Game Design for Respiratory Therapy , Digital Interventions for Subclinical Depression , and Physiological Response Evaluation in gamified health apps. Key trends highlight User-Centered Design and Real-Time Feedback Systems in digital mental health tools.