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Dario HauxView profile

Researcher

• Civil Law
• Civil Procedure Law
• Digital Law
• +7 more

Dario Haux serves as a Senior Assistant for Civil Law and Civil Procedure Law at the Faculty of Law, University of Zurich, where he maintains an office at Rämistrasse 74, 8001 Zurich (Office: RAI-G-001/007). He holds a Dr. iur. degree and an LL.M. from Columbia University. Haux is actively engaged in both academic research and practical legal work, currently serving as a substitute at a Zurich law firm while also co-editing the '#unbequem' series at sui generis. His research interests span Civil Law, Civil Procedure Law, Digital Law, and Legal Technology, with particular focus on the intersection of law and emerging technologies. Haux has made significant contributions to discussions on access to justice, brain-computer interfaces and data protection, AI in legal contexts, and the concept of digital commons. His work reflects a strong commitment to open access principles and the democratization of legal knowledge. Haux's publication record demonstrates consistent scholarly output from 2021-2024, with recent work examining computational law security, neurotechnology regulation, and the evolving relationship between analog legal concepts and digital environments. His research shows a clear interdisciplinary approach, bridging traditional legal scholarship with computer science, data protection, and emerging technology ethics. Haux actively participates in the open legal movement, contributing to platforms like Entscheidsuche.ch and engaging with initiatives that promote transparency in judicial systems. His work often addresses systemic barriers to legal access and explores technological solutions for improving justice systems.

Ronan BoulicView profile

Researcher

• Virtual Reality
• Human-Computer Interaction
• Computer Graphics
• +10 more

Ronan Boulic is a Senior Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Computer and Communication Sciences. He leads the Immersive Interaction (IIG) research group and serves as a Senior Scientist in multiple departments including IC-SIN, IC-SSC, and GR-SCI-IC. His work focuses on motion synthesis for virtual humans and robots, human movement modeling, inverse kinematics, and immersive 3D interactions in virtual environments, with applications in virtual prototyping, gaming, ergonomics, and biomedical simulations. PhD in Computer Science (1986) from University of Rennes, France Habilitation (1995) from University of Grenoble, France Research interests include: Embodiment in Virtual Reality Human Movement Modeling and Optimization Motion Capture and Real-Time 3D Interaction Avatar Emotion Expression and Synchronization Cybersickness Detection and Mitigation Collision Detection and Inverse Kinematics His recent publications (2023-2025) emphasize cybersickness frameworks, avatar embodiment, and real-time motion control. He has supervised over 15 PhD candidates, including Nana Tian (2023) and Thibault Porssut (2021), and collaborates with the EPFL Cognitive Neuroscience Laboratory (LNCO). Teaching includes foundational Computer Science (ICC), Programming, and Software Engineering to first-year students. He is also a member of the PhD program committee for Robotics, Control, and Intelligent Systems at EPFL.

• Applied Machine Learning
• Computer Vision
• Signal Processing
• +3 more

Atzori Manfredo is a Researcher at the School of Management, HES-SO Valais-Wallis, focusing on machine learning applications in biomedical engineering and digital health. His work bridges computer vision, signal processing, and clinical diagnostics, with emphasis on EMG-based prosthetic control, computational pathology, and neuroimaging reproducibility. Research interests span: Applied ML : Transfer learning, explainable AI, and self-supervised methods for medical data. Biomedical Engineering : EMG signal analysis for hand prosthetics, wearable sensors, and rehabilitation robotics. Digital Pathology : Whole slide image analysis, artifact mitigation, and multimodal data fusion for cancer diagnostics. His publications (2022-2024) reveal strong trends in addressing real-world challenges: improving robustness of EMG classification under dynamic conditions, enhancing reproducibility in neuroimaging studies, and developing open-source tools (e.g., SelfEEG, BIDSAlign) for EEG/EMG data processing. Cross-disciplinary collaboration is evident in veterinary radiology, ophthalmology, and ontology development for pathology data.

Gian Luca BarbruniView profile

Researcher

• Wireless Power Transfer
• Mixed-signal CMOS Design
• Low-power ICs
• +5 more

Gian Luca Barbruni is a Postdoctoral Researcher at the Bio/CMOS Interfaces Laboratory at École polytechnique fédérale de Lausanne (EPFL), Switzerland, where he focuses on designing novel circuital architectures for in-memory sensing and computing, and on drinkable µm-sized bioelectronics for enhanced brain imaging and precise diagnostics. He also served as a Doctoral Assistant at the Integrated Systems Laboratory (LSI1) at EPFL. Dr. Barbruni earned his Ph.D. in Microsystems and Microelectronics from EPFL in 2023, focusing on the design and development of innovative cortical visual prosthesis to revert blindness. Prior to that, he received his M.Sc. in Biomedical Instrumentation (2019) and B.Sc. in Biomedical Engineering (2017) from Politecnico di Torino, Italy. His research primarily centers on the intersection of low-power mixed-signal IC design, wireless power transfer, and microfabrication techniques for biomedical applications. His work spans brain-computer interfaces, vision restoration technologies, cancer diagnostics, and electrochemical sensing systems. Dr. Barbruni's approach integrates circuit design with electrode-tissue interface engineering to create miniaturized, wireless neural interfaces that overcome limitations of traditional neurostimulation systems. His research on frequency-switching inductive links has demonstrated significant improvements in efficiency and power delivery for large-scale neural interfaces. His publication record shows a clear progression toward increasingly sophisticated and miniaturized neural interface systems, with recent work focusing on in-memory sensing for cancer diagnostics and advanced microfabrication techniques for electrode integration. The consistent theme across his publications is the development of wireless, miniaturized systems that can operate within safety constraints while delivering sufficient power for neural stimulation and sensing applications. Dr. Barbruni has received several notable recognitions for his work: Best Student Paper Award in Electronics at IEEE MOCAST, 2022 in Bremen, Germany As a Principal Investigator, he has secured multiple competitive grants including MINT-CMOS (Enable 2022) and WIMOS-RES (Enable 2022). He serves as a reviewer for prestigious journals including IEEE Transactions of Biomedical Circuits and Systems and IEEE Sensors Journal, and as a TPC member for major conferences such as IEEE BioCAS, IEEE Sensors, IEEE MeMeA, and IEEE ICECS. Dr. Barbruni is actively involved with the Bio/CMOS Interfaces Laboratory in Neuchâtel, part of EPFL's School of Engineering, where he leads research on novel circuital architectures for in-memory sensing and computing. His work on 'Neural Dot' represents a significant advancement in fully integrated monolithic chips for neural interfaces, featuring wafer-level CMOS-compatible post-processing techniques for electrode integration that address traditional challenges in miniaturized neural implant design.

Charlotte FrenkelView profile

Assistant Professor

• Neuromorphic Engineering
• AI Processor Design
• Digital and Mixed-Signal IC Design
• +5 more

Charlotte Frenkel is a Tenure-Track Assistant Professor in the Microelectronics Department at Delft University of Technology (TU Delft), where she leads research in neuromorphic engineering and low-power AI hardware. Her work bridges the gap between biological intelligence and artificial neural networks, focusing on energy-efficient computing at the edge. Dr. Frenkel's research spans digital and mixed-signal IC design, computer architecture, learning algorithms, and neuroscience. She directs the Cognitive Sensor Nodes and Systems (CogSys) lab, which develops neuromorphic processors like ODIN, MorphIC, SPOON, and ReckOn that demonstrate competitive advantages over conventional neural network accelerators. Her publications reveal a strong focus on spiking neural networks, event-based processing, and on-chip learning. Key trends include developing hardware that leverages sparsity for energy efficiency, creating bio-inspired learning algorithms that solve weight transport and update locking problems, and establishing frameworks for benchmarking neuromorphic systems through initiatives like NeuroBench. Scientific Awards: IBM Innovation Award 2021 Nokia Bell Labs Scientific Award 2021 IEEE ISCAS 2020 Best Paper Award NEUROTECH/NICE Best Early Researcher Presentation 2021 AiNed Fellowship Grant Dr. Frenkel is actively expanding her research group through PhD and postdoc positions. She serves as Associate Editor for IEEE Transactions on Biomedical Circuits and Systems and Frontiers in Neuroscience, and has held numerous leadership roles in conference organization including Program Chair for tinyML Research Symposium 2024 and Neuro-Inspired Computational Elements conference 2023-2024. Her service includes extensive reviewing activities for top IEEE journals and conferences in her field.

Julien MairalView profile

Researcher

• Machine Learning
• Optimization
• Computer Vision
• +2 more

Julien Mairal is a Senior Research Scientist at Inria Grenoble within the Thoth research team, focusing on machine learning, optimization, and computer vision. His research spans theoretical foundations and practical applications across multiple domains including signal processing, bioinformatics, and neuroimaging. His primary research interests include machine learning , particularly optimization algorithms for large-scale problems, computer vision with applications in image restoration and super-resolution, and kernel methods for structured data. His work demonstrates strong connections between theoretical optimization and practical implementations, as evidenced by his Cyanure toolbox for empirical risk minimization. Analysis of his recent publications reveals a consistent focus on optimization techniques for machine learning, with increasing emphasis on large-scale applications, self-supervised learning, and connections between kernel methods and deep learning architectures. His work shows strong interdisciplinary applications spanning computer vision, neuroscience, and remote sensing. ERC Consolidator Grant (2023) for the Apheleia project ICML Test of Time Award (2019) ERC Starting Grant (2016) for the SOLARIS project Mairal serves extensively in editorial capacities as area chair for major conferences including ICML, NeurIPS, CVPR, and ECCV. He is an associate editor for the Journal of Machine Learning Research (JMLR) and previously served for IEEE PAMI and IJCV. His Cyanure toolbox has become a significant contribution to the field of large-scale optimization in machine learning. His research demonstrates strong connections between theoretical foundations and practical implementations across multiple application domains.

• Motor Control
• Neurophysiology
• Human Movement Sciences
• +3 more

Caroline Heimhofer is a Researcher at the Institute of Human Movement Sciences and Sport (IBWS), ETH Zürich. Her work focuses on understanding neural mechanisms underlying motor control, motor fatigability, and neuroplasticity. Key research areas include the impact of sleep on motor performance, neural correlates of finger individuation, and the application of neurofeedback techniques to enhance motor function. She investigates how aging affects motor systems and explores interventions to mitigate motor decline. Her studies utilize advanced neuroimaging and electrophysiological methods, including TMS and fMRI. Recent work highlights the role of sensorimotor cortex dynamics in fatigue and the potential of auditory stimulation to modulate sleep-related motor recovery. Dr. Heimhofer’s research bridges fundamental neuroscience with applied aspects of human movement optimization.

Angela RentonView profile

Research Fellow

• Visual perceptual processing
• Age-related macular degeneration (AMD)
• M/EEG
• +2 more

Angela Renton is a Research Fellow specializing in neuroimaging and perceptual processing. She completed her PhD in 2022 at The University of Queensland under Prof. Jason Mattingley, focusing on neurofeedback methods for visual perception. Currently, she contributes to the Neurodesk Project, advancing open science through reproducible neuroimaging tools. Her research explores closed-loop neuroimaging, M/EEG techniques, and applications to age-related macular degeneration (AMD). Key research interests include visual perception mechanisms, feature-based attention, and the development of non-invasive brain interfaces. She has published in Nature Methods , Scientific Data , and The Journal of Neuroscience , emphasizing reproducible methodologies and open-source tools. Her work bridges neuroscience and technology, aiming to enhance sensory processing understanding and translate findings into practical applications. She collaborates on interdisciplinary projects, such as real-time neuroimaging signal processing and ergonomic workplace studies.

• Neuroscience
• Neurochemistry
• Visual Processing
• +5 more

Gregor Rainer is a Professor in the Faculty of Science and Medicine at the University of Fribourg, specializing in Humane Medicine. His research focuses on neural circuits, neurochemical signaling, and cognitive processing, particularly in relation to the basal forebrain, default mode network, and visual systems. Department: Humane Medicine Email: gregor.rainer@unifr.ch Office: PER 09 bu. 2.100 B, Ch. du Musée 5, 1700 Fribourg Research Interests: Rainer's work explores the role of GABAergic neurons in sensory modulation, thalamocortical interactions, and mechanisms of brain-machine interfaces. He investigates metabolic pathways in neurodegenerative diseases, neural coding for communication restoration, and evolutionary neuroscience using tree shrew models. Scientific Contributions: His recent publications address frequency-specific neural modulation, sleep structure conservation in mammals, and the molecular basis of neurobehavioral dysfunction. Articles span from 2025 to 2011, covering topics from cortical dynamics to neurochemical analysis techniques.

Sarah RochatView profile

Professor

• Robotics
• Human-Robot Interaction
• Artificial Intelligence
• +5 more

Sarah Rochat is a Professor at the Bern University of Applied Sciences (BFH), affiliated with the Institute for Human-Centered Engineering. Her work focuses on human-robot interaction, intuitive robot programming, and agile production systems. She leads the Robot Programming by Demonstration project, which aims to simplify robot reprogramming through gesture-based interfaces using tools like the Logitech VR Ink Stylus. This innovation targets industries needing flexible automation solutions, particularly in manufacturing sectors with diverse products and small production volumes. Education: Sarah holds a Psychology half-degree, a Mathematics Master's, a Robotics PhD, and a postdoc in brain-machine interfaces. She has been at BFH since 2014, combining teaching and research in robotics and human-centered engineering. Research interests include human-robot collaboration, no-code programming for production workers, and ethical implications of AI/robotics in society. Her projects emphasize practical applications such as cobot integration, worker empowerment through accessible tools, and reducing production costs via agile systems. Current collaborations involve 7 industry partners (robot developers, medical firms, sensor manufacturers, and watchmakers) to refine demonstration-based learning for industrial use. Supported by Microtech Booster and Innosuisse grants, her team explores feasibility through simplified case studies. Labs/Teams: Active in BFH’s Human-Centered Engineering group, focusing on interdisciplinary projects blending robotics, ethics, and industrial needs. Future work aims to expand no-code programming tools and validate technologies in real-world manufacturing environments.

Emily Caroline Bezerra AlexandreView profile

Researcher

• Printed Electronics
• Flexible Sensors
• Sustainable Electronics
• +3 more

Emily Caroline Bezerra Alexandre is a Guest PhD Student at EPFL's School of Engineering (STI), affiliated with the Institute of Microengineering (IEM) and the SCI-STI-SC research group. She concurrently serves as a Junior Scientist at Silicon Austria Labs (SAL), focusing on sustainable sensor development. Her research emphasizes printed electronics, flexible sensors, and additive manufacturing for biomedical applications, including a sustainable diabetes monitoring device under Prof. Sandro Carrara's supervision at EPFL and co-supervision by Dr. Jürgen Kosel at SAL. Education: BSc in Science and Technology (2019) and Materials Engineering (2020) from Federal University of Rio Grande do Norte (Brazil), followed by an MSc in Materials Science and Engineering from KAUST (Saudi Arabia, 2022). Her master’s work involved 3D-printed electronic skin for tactile sensing. She is part of the Advanced Sensor and Electronics Technologies (ASET) group at SAL, advancing aerosol jet printing strategies for sustainable electronics. Laboratory affiliations include EPFL's Brain-Computer Interface (BCI) lab (https://www.epfl.ch/labs/bci/), reflecting interdisciplinary collaboration in sensor-driven technologies. Her work integrates material efficiency, energy sustainability, and waste reduction principles in sensor design.

• Biomedical Engineering
• Microfluidics
• Cell Mechanics
• +3 more

Dr. Mahmut Kamil Aslan is a Researcher affiliated with the Institute for Chemical and Bioengineering (ICB) at ETH Zurich, Switzerland. He is part of the Professur f. Biochem. Engineering under the Department of Biochemical Engineering. His work focuses on advanced biomedical technologies, including microfluidics, MEMS-based devices, and cell mechanics analysis. He advises doctoral candidate Andrés Javier Bello Hernández and collaborates on projects involving lab-on-a-chip systems, neural monitoring, and diagnostic platforms. Key research interests include developing high-throughput screening methods for cell analysis, designing implantable biomedical devices, and improving microfluidic platforms for biomedical applications. His contributions span innovations in viscoelastic deformability cytometry, smartphone-integrated diagnostics, and MEMS neural probes. Labs/Teams: Active member of the ICB at ETH Zurich, contributing to interdisciplinary projects in biochemical engineering and biotechnology. Contact: mahmut.aslan@chem.ethz.ch

Elena VicariView profile

Researcher

• Translational Neuroengineering
• Biomedical Engineering
• Neuroscience
• +3 more

Elena Vicari is a Doctoral Assistant affiliated with the Bertarelli Foundation Chair in Translational Neuroengineering at the École Polytechnique Fédérale de Lausanne (EPFL). She works within the Institute of Bioengineering (INX-STI) and is associated with the Translational Neuroengineering (TNE) laboratory. Her research focuses on areas including Biomedical Engineering , Neuroscience , and Brain-Computer Interfaces , with an emphasis on translational applications to neuroengineering. Contact details include email elena.vicari@epfl.ch and office locations at B3 4 243.134 and B3 4 239.134 (Campus Biotech, Geneva, Switzerland).

Jocelyne BlochView profile

Professor

• Functional Neurosurgery
• Neuromodulation
• Regenerative Neurotherapies
• +7 more

Jocelyne Bloch is a Full Professor at the University of Lausanne (UNIL) and Head of the Neurosurgery Department at CHUV, positions she has held since February 1, 2025. She is affiliated with the Faculty of Biology and Medicine at UNIL and co-directs the NeuroRestore research center in collaboration with EPFL, integrating clinical expertise and engineering innovation. Full Professor, Faculty of Biology and Medicine, University of Lausanne (2025–present) Head, Department of Neurosurgery, CHUV (2025–present) Co-Director, NeuroRestore Research Center (2019–present) Full Professor, Neuroprosthetics Center, EPFL (2019–present) Associate Professor, UNIL (2017–2025) Jocelyne Bloch's research focuses on functional and stereotactic neurosurgery , with a mission to restore motor function after neurological injury. Her work spans regenerative neurotherapies , neuromodulation , and neuroprosthetics , particularly through brain-spinal cord interfaces and wireless implants. She pioneered cortical cell transplantation techniques and contributed to the development of AI-optimized spinal cord stimulators that enable paralyzed patients to walk again, including those with complete spinal injuries. Her research bridges laboratory innovation with clinical application, emphasizing translational neuroscience . Her recent publications highlight breakthroughs in brain-machine interfaces , spinal cord stimulation , and neurorehabilitation , with studies published in Nature , Nature Medicine , and Nature Neuroscience . These works demonstrate a strong trend toward closed-loop, AI-driven systems for motor recovery, with increasing focus on real-world mobility and patient autonomy. 2021 Leenaards Foundation Scientific Award for the project “Brain-spinal cord interface to regain the use of the legs” Bloch has played a key role in mentoring and academic leadership, supervising students and junior researchers. She has secured significant research funding through institutional and collaborative grants supporting NeuroRestore and regenerative neurosurgery initiatives. She is a founding member of Onward Medical (formerly GTX-Medical) and founder and president of the Neurocellia association, advocating for cellular therapies in neuroscience. She also serves on the board of the European Society for Stereotactic and Functional Neurosurgery . She co-directs NeuroRestore , a pioneering research center uniting CHUV-UNIL’s medical expertise with EPFL’s engineering capabilities. The center develops innovative neurotherapies involving neurosurgical interventions, rehabilitation platforms, and advanced neural interfaces to treat paralysis and movement disorders.

Alan CarletonView profile

Professor

• Sensory Perception
• Neural Networks
• Brain-Machine Interfaces
• +4 more

Prof. Alan Carleton is a faculty member at the Faculty of Medicine, University of Geneva , leading research on sensory perception mechanisms, particularly in olfactory and gustatory systems. His work focuses on how neural networks encode sensory information and relate behavior to neuronal activity, with applications in brain-machine interfaces. Research Themes: Multi-sensory integration during feeding behavior Electrophysiological and 2-photon imaging approaches Role of adult neurogenesis in olfactory coding Methodologies: In vitro and in vivo neural recording Lentivirus-mediated gene transfer Behavioral paradigms in mice Recent Research Trends emphasize olfactory coding mechanisms, receptor gene clustering, and metabolic-neural interactions. Collaborative scientific awards and grants are not explicitly mentioned in the provided texts. Lab Members include postdocs (Bhattacharjee, Juventin, Kouskoff), graduate students (Fodoulian, Moulinier, Mutel, Renfer, Huber), lab technician (Husi), and scientific collaborators.