Andres Osorio SalazarExpertise
Robotics, advanced actuator design, soft actuators, sensor design, embedded systems, human-machine interface architecture, electronic-less control, mechanism design, additive and traditional manufacturing, industrial automation, process control, and fluid robotics.
Current Work
Smart Footwear for Diabetic Foot Care and Ulcer PreventionEvery 20 seconds, a person with diabetes has to face an amputation somewhere in the world. The main risk factor is high plantar pressure combined with foot nephropat
Stefana ParaschoTeaching & PhD PhD Students Jingwen Wang, Gabriel Vallat, Maxence Grangeot, Eleni Maria Skevaki, Wenqian Yang, Megi Sinani Courses Capitalizing on Uncertainty AR-809 SUMMER SCHOOL - Capitalizing on Uncertainty is a 6-day Summer school exploring uncertainty as a productive resource in design and fabrication through lectures, hands-on experiments, and the collaborative design and construction of a full-scale structure in a human-robot fabrication setting. Digital design and making: A criti
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Junsoo KimExpertise
Artificial Muscles, Electrostatic Actuators, Wearable Robotics, Humanoid Robotics
Olga FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
Alexander DittrichCurrent Work
My research interests are somewhere between neural networks with Hebbian plasticity, meta-reinforcement learning, and the control of rather unconventional soft robotic platforms like tensegrity robots.
Simon HolzerHi, I am Simon Holzer. I received my B.Sc. and M.Sc. degrees in mechanical engineering with a focus on microtechnology from the Swiss Federal Institute of Technology Zurich (ETHZ) in 2020 and 2022, respectively. I am currently working towards Ph.D. in the Integrated Actuators Laboratory (LAI) at EPFL in Neuchâtel, Switzerland. My research interests lie in the field of soft robotics, artificial muscles, and biomechanics.
Bokeon KwakExpertise
Bio-inspired robotics, Edible Robotics, Soft Robotics
Simon Elias BibriExpertise
• Sustainable cities• Smarter eco-cities• Sustainable smart cities• Artificial Intelligence of Things (AIoT) • Generative Artificial Intelligence of Things (GAIoT)• Foundation Models (FMs) • Quantum Generative Artificial Intelligence (QGAI)• Urban Digital Twins (UDTs)• Urban Brain (UB) • Smart Circular Metabolism• Urban planning and design• Environmental sustainability and climate resilience• Sustainable smart energy• Sustainable smart transportation• Sustainable smart waste and water management•
Chenghao XuEducation Bachelor of Engineering | Mechnical Engineering 2016 – 2020 Southern University of Science and Technology, China Master of Science | Robotics 2020 – 2023 Delft University of Technology, Netherlands
Wenchao YueExpertise
Robotics, Medical Mechatronics, Medical Reconfigurable Robots, Soft Machine, Piezo Actuators/Sensors
Brief Biography Wenchao Yue is a Ph.D. candidate in Electronic Engineering at The Chinese University of Hong Kong (CUHK). He has received the PhD International Mobility for Partnerships and Collaborations Award (PhD IMPAC Award) 2024, the IEEE ROBIO Best Paper Finalist Award 2024, the Overseas Research Attachment Programme (ORAP Award) 2025, and the Professor Charles K. Kao Student Creativity (PCKK
Lazar MilikicExpertise
LLMs (Large Language Models), NLP (Natural Language Processing), Automated Reasoning
Mission
My work focuses on developing robust methods for autoformalization and automated theorem proving using large language models. I aim to enhance the reasoning reliability of modern AI systems by reducing hallucinations, improving predictability, and integrating formal verification techniques and tools into LLM-based pipelines.
Before joining EDIC, I completed a Bachelor’s in Mathematics and Computer Science
Georg Michael Joachim StarkeDr. Georg Starke is a postdoctoral researcher at the College of Humanities at EPFL, working in the
Intelligent Systems Ethics Group
. As member of the
Hybrid Minds
project, Georg’s research examines the ethics of using artificial intelligence in medicine, with particular regard to neurological and psychiatric applications. Beyond AI ethics, Georg is also interested in history and philosophy of science, philosophy of psychiatry, medical ethics, and questions at the intersection of philosophy of mind and comparative psychology.
Georg has been trained in medicine and in philosophy, concluding both studies with a respective doctoral degree. He studied medicine at the Technical University of Munich and was visiting student at the University of Buenos Aires, the Hebrew University Jerusalem, and the University of Oxford. His medical doctoral thesis investigated subcortical correlates of social fear, using model-based fMRI. In parallel to his medical studies, Georg obtained a BA in philosophy from the Munich School of Philosophy and an MPhil in History, Philosophy and Sociology of Science, Technology and Medicine from the University of Cambridge. His PhD in bioethics at the University of Basel, defended in 2022, shed light on the notion of trust in medical AI and scrutinized the trustworthiness of clinical AI appliances with particular view to fairness and explainability.
Mohammad Ali ShaeriExpertise
Neural Engineering, Neural Signal Processing, Neural Decoding, Neural Prosthesis, Brain Machine Interface
