جست‌وجوی استاد و پژوهشگر

Janine Blessingمشاهده پروفایل

پژوهشگر

• Science Communication
• Health Communication
• Environmental Communication
• +۵ مورد دیگر

Dr. Janine Blessing is a postdoctoral researcher at the Institute of Communication and Media Research (IKMZ) at the University of Zurich, following her doctoral studies at the University of Augsburg. Her research focuses on media effects in science, health, and environmental communication, particularly examining how journalistic reporting on medical innovations (e.g., mRNA vaccines, brain-computer interfaces) influences public risk perception and engagement with new technologies. She has held research stays at Penn State University and contributed to projects like 'Healthy Clinical Landscapes' and 'Science Communicators in Science Communication.' Education: PhD in Philosophy (2024), University of Augsburg Master's and Bachelor's in Media and Communication (2019), University of Augsburg Semester abroad at Università degli Studi di Roma 'Tor Vergata' (2017–2018) Research Interests: Her work explores how media framing, fear appeals, and social media influence public understanding of scientific innovations, health behaviors, and environmental issues. She has investigated the impact of narrative strategies on vaccination willingness, the role of empathy in sustainability communication, and the effects of digital detox campaigns on mobile users. Awards & Grants: Recipient of the DGPuK Science Communication Section Award (2025) Gertrude J. Robinson Mentoring Program (2023) Swiss Academy of Humanities and Social Sciences travel grant (2025) University of Zurich grants for projects on science authority credibility and academic resilience Grants & Projects: Investigating the role of emotions in perceived credibility of scientific authorities (IKMZ, 2025) Retreat for postdocs on academic resilience (IKMZ, 2025) Study on social media users' perceptions of science communicators (DGPuK, 2025) Labs & Teams: Active in the Transfer Unit Science Communication and collaborates with interdisciplinary teams on health communication, environmental framing, and science policy initiatives.

Grégoire Courtineمشاهده پروفایل

استاد

• Neuroscience
• Neuroprosthetics
• Motor Control
• +۳ مورد دیگر

Grégoire Courtine is a Professor at École Polytechnique Fédérale de Lausanne (EPFL), directing the UPCOURTINE lab within the Neuro-X Institute. His research focuses on developing neuroprosthetics and neurorehabilitation strategies to restore motor function after spinal cord injuries and neurological disorders. The lab combines spinal cord stimulation robotic interfaces optogenetics single-cell omics clinical translation to advance treatments for paralysis and movement disorders. Recent work spans both fundamental studies and clinical trials, including interventions for Parkinson’s disease and orthostatic hypotension. Publications highlight innovations in deep brain stimulation neuroprosthetic systems spinal cord mapping autonomic function modulation with a strong emphasis on interdisciplinary approaches bridging neuroscience and engineering.

• Signal Processing
• Brain Connectivity
• Source Localization
• +۳ مورد دیگر

Dr. Forooz Shahbazi Avarvand serves as Deputy Head of Studies for the Bachelor in Artificial Intelligence & Machine Learning and Lecturer at Lucerne School of Computer Science and Information Technology. With a PhD in Source Localisation and Brain Connectivity from Technische Universität Berlin, her research focuses on developing signal processing methods for EEG and MEG brain data analysis. Shahbazi Avarvand's expertise includes brain connectivity analysis, source localization techniques, and EEG/MEG signal processing. Her publications introduce innovative methodologies like the LDA beamformer for ERP source estimation and bicoherence analysis for brain oscillation waveshapes. Prior to academia, she worked as a Senior Data Scientist at Bayer AG and Alexa (Amazon), applying machine learning to industrial applications. Her research bridges neuroscience and engineering, with applications in brain-computer interfaces and neuroimaging. Professional experience includes data science roles at Siemens Digital Factory and Siemens Mobility, alongside research positions at Fraunhofer HHI.

• Translational Neuromodelling
• Computational Psychiatry
• Wearable Sensor Technology
• +۴ مورد دیگر

László Demkó is a Researcher at ETH Zürich, affiliated with the Department of Translational Neuromodelling and Computational Psychiatry. His work focuses on integrating wearable sensor technology with clinical rehabilitation, particularly addressing spinal cord injuries and neuromotor disorders. Demkó’s research emphasizes data-driven approaches to gait analysis, upper limb movement assessment, and wheelchair usability optimization. He collaborates across disciplines to develop predictive models for neural networks and biomedical devices. Key research interests include translational neuromodelling, computational psychiatry, and biomechanical engineering. His contributions span sensor validation for clinical use, robotic orthosis design, and modular microstructure fabrication for neuronal networks. Demkó’s methodologies often bridge engineering principles with neuroscientific insights, aiming to improve patient outcomes through technology. Publications highlight advancements in gait characterization post-spinal injury, wearable sensor reliability, and neural stimulation techniques using FluidFM technology. His work demonstrates a commitment to both theoretical innovation and practical clinical applications in neurorehabilitation.

Tomáš Fialaمشاهده پروفایل

پژوهشگر

• Chemical Biology
• Organic Chemistry
• Bioorganic Chemistry
• +۳ مورد دیگر

Dr. Tomáš Fiala is a postdoctoral researcher (Marie Curie Fellow) at the ETH Zürich , Department of Organic Chemistry, Switzerland. He holds a Branco Weiss Fellowship , SNSF Spark Grant , and ETH Career Seed Award for his work on chemical methods targeting brain-immune interfaces and supramolecular systems.

• Neuroscience
• Neural Networks
• Neuroengineering
• +۳ مورد دیگر

Dr. Peter Gombköto is a faculty member at ETH Zürich, affiliated with the Department of Neurotechnology. Contact: pgombkoto@ethz.ch | ORCID: 0000-0001-8393-173X

Anna Ewa Stepien-Czarnieckaمشاهده پروفایل

پژوهشگر

• Neurotechnology
• Neuroinformatics
• Computational Neuroscience
• +۳ مورد دیگر

Anna Ewa Stepien-Czarniecka is affiliated with the Professur für Neuroinformatik at ETH Zürich. Her role as part of the Neurotechnology Professorship indicates a research-focused position within the field of neuroinformatics. She contributes to the department's activities without an explicitly stated academic rank, though her affiliation suggests involvement in advanced research projects related to neural systems and technological applications. Contactable via steanna@ethz.ch , her work aligns with interdisciplinary research at the intersection of neuroscience and engineering.

• Neuroengineering
• Neuroscience
• Biomedical Engineering
• +۳ مورد دیگر

Carmiña Andrea Galvez Solano is a Research Fellow at the École polytechnique fédérale de Lausanne (EPFL), affiliated with the Bertarelli Foundation Chair in Translational Neuroengineering. She works within the School of Engineering (STI) under the Institute of Electrical Engineering (INX-STI), focusing on interdisciplinary research at the intersection of neuroscience and biomedical engineering. Her research interests center on translational neuroengineering, which involves developing advanced neural interfaces, brain-computer interfaces, and neurotechnology solutions for clinical applications. This aligns with EPFL's interdisciplinary approach to integrating engineering principles with neuroscience to address real-world medical challenges. As a postdoctoral researcher, she contributes to cutting-edge projects at the Translational Neuroengineering Unit (TNE), though no specific publications, awards, or student advising details are currently accessible through available data.

• 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

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

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.

Mahsa Shoaranمشاهده پروفایل

استادیار

• Neural interfaces
• Neuroprosthetics
• Analog and mixed-signal integrated circuits
• +۵ مورد دیگر

Mahsa Shoaran is a Tenure-Track Assistant Professor at EPFL (École Polytechnique Fédérale de Lausanne) jointly appointed at the Center for Neuroprosthetics and the Institute of Electrical Engineering . She is also the founding director of the Integrated Neurotechnologies Laboratory (INL) and contributes to several doctoral programs and teaching missions across EPFL’s School of Engineering (STI). Education: PhD in Electrical Engineering, EPFL (2015) M.Sc. & B.Sc., Sharif University of Technology Postdoctoral Fellow, California Institute of Technology (Caltech) (2015-2017) Former Assistant Professor, School of Electrical and Computer Engineering, Cornell University (2017-2019) Research Focus: Dr. Shoaran’s work sits at the convergence of integrated circuit design , machine learning , and neuroscience . Her group develops ultra-low-power, miniaturized system-on-chips (SoCs) capable of real-time neural recording , pathology detection , and closed-loop therapeutic intervention such as adaptive neurostimulation. Machine-learning algorithms running on-chip enable precise symptom detection in neurological and psychiatric disorders, while advanced circuit techniques guarantee energy efficiency suitable for long-term implantable or wearable neural interfaces. Scientific Awards & Grants: ERC Starting Grant 2021 Google Faculty Research Award in Machine Learning 2019 Swiss NSF Postdoctoral Fellowships NSF Award for Young Professionals – Smart & Connected Health MIT EECS Rising Star 2015 Doctoral Advising & Service: She currently supervises 14 PhD students in the Integrated Neurotechnologies Laboratory. Additionally, she serves on the PhD program committees for Electrical Engineering (EDEE), Microsystems & Microelectronics (EDMI), and contributes to the Neuro-X and SEL teaching programs. She is a Technical Program Committee member for IEEE CICC and serves on the Student Research Preview committee for ISSCC. Laboratory & Collaborative Teams: The Integrated Neurotechnologies Laboratory (INL) at EPFL Campus Biotech in Geneva hosts her interdisciplinary team of circuit designers, machine-learning researchers, and neuroscientists. The lab collaborates closely with clinicians to translate innovations into real-world neuroprosthetic and diagnostic devices.

• Systems Neuroscience
• Motor Learning and Control
• Animal Behavior
• +۷ مورد دیگر

Prof. Mackenzie Weygandt Mathis is Tenure-Track Assistant Professor and Bertarelli Foundation Chair of Integrative Neuroscience at EPFL’s Brain Mind Institute . Leading the Mathis Lab since 2020, she unites machine learning and systems neuroscience to decipher how brains learn and control movement. Education : PhD in Neuroscience, Harvard University (2017, advisor Naoshige Uchida) Post-doctoral training, University of Tübingen with Matthias Bethge (2017) Rowland Fellow, Harvard University (2017-2020) Research Focus : the lab develops open-source AI tools ( DeepLabCut , CEBRA , AmadeusGPT ) and combines them with large-scale neural recordings in behaving mice to uncover the neural basis of adaptive motor control. Core themes include sensorimotor learning, proprioception, and brain-inspired algorithms for robotics. Publications Trend : recent work spans robust machine-learning methods (ICLR, AISTATS 2025), foundational models for pose estimation ( SuperAnimal , 2024), and integrative studies linking neural population dynamics to muscle-level control ( Nature 2023, Cell 2024). Scientific Awards : Swiss Science Prize Latsis 2024 Robert Bing Prize 2024 Eric Kandel Young Neuroscientist Prize 2023 FENS EJN Young Investigator Prize 2022 Vallee Scholar, ELLIS Scholar, NSF Graduate Fellow Advising & Funding : she mentors 4 current PhD students and several postdocs, supported by SNSF Starting Grant (1.5 M CHF), CZI, Novartis, Radala Foundation, and Kavli Foundation grants. Labs & Teams : the Mathis Lab is located at Campus Biotech , Geneva, and actively collaborates with the Alexander Mathis group, Allen Institute, and international consortiums on open-source neuroscience tools.

• Neuroinformatics
• Computational Neuroscience
• Neural Networks
• +۳ مورد دیگر

Elisa Donati is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zurich, affiliated with the Institute of Neuroinformatics . Her work bridges neuroscience and engineering , focusing on computational approaches to understanding neural systems. Email: eldonati@ethz.ch

Sarah Degallier Rochatمشاهده پروفایل

استاد

• Human-robot interaction
• Collaborative robotics
• Digital skills training
• +۵ مورد دیگر

Prof. Dr. Sarah Degallier Rochat serves as Head of Humane Digital Transformation at Bern University of Applied Sciences (BFH), where she is a Professor in the Department of Technology and Computer Science. She is affiliated with the Institute for Human Centered Engineering (HuCE) and specifically works within the Laboratory for Computer Perception and Virtual Reality. Her research spans multiple institutional collaborations including the Institute for Data Applications and Security (IDAS) at BFH and partnerships with the University of Fribourg on experimental studies. Professor Degallier Rochat's research focuses on human-robot interaction , collaborative robotics , and humane digital transformation . She challenges the notion of complete human replacement by technology, advocating instead for human augmentation where technology empowers rather than mechanizes workers. Her work examines how humans and robots can work together effectively in industrial settings, with particular emphasis on developing intuitive interfaces for robot programming that promote digital skills acquisition among workers through experiential learning rather than symbolic cognition. Her research has evolved from foundational work in motor primitives for humanoid robots to current applications in industrial settings. She investigates the human factors involved in digital transformation, with special attention to workers with intermediate and lower levels of education who are often overlooked in digital skills training. Her approach emphasizes embodied cognition and work experience as foundations for developing effective human-machine interfaces that leverage existing worker knowledge. Human augmentation through collaborative robotics Intuitive robot programming interfaces (visual programming) Digital skills development for industrial workers Human-centered approaches to digital transformation Ethical considerations in human-robot collaboration Workplace adaptation to new technologies Professor Degallier Rochat has secured funding from diverse sources including Innosuisse, the Gerbert Rüf Foundation, and SNF. With support from the Gerbert Rüf Foundation's First Venture program, she co-founded a spin-off company aimed at making automation profitable for SMEs through employee training. Her research demonstrates significant practical impact, with interface designs tested across 116 participants showing positive effects on programming anxiety and usability. Her laboratory develops practical solutions for human-robot collaboration in manufacturing environments, creating interfaces that workers can use without extensive technical training. Through numerous publications, conference presentations, and media engagements, she actively contributes to the discourse on ethical and human-centered technological development in industry.