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
Alireza MafiExpertise
Electromagnetics TheoryAntennas & MicrowavesRadio Frequency Integrated CircuitsPhased ArraysBioelectronics
Expertise
Electromagnetics TheoryAntennas & MicrowavesRadio Frequency Integrated CircuitsPhased ArraysBioelectronics
I am a PhD student in Electrical Engineering at the école Polytechnique Fédérale de Lausanne (EPFL). I received my M.Sc. in Electrical Engineering (Microwave and Optical Communications) from the Sharif University of Technology, Tehran, Iran in 2022. I also worked at ETH Zurich
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 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•
Adriano MeleI am a control engineer and plasma scientist at the Swiss Plasma Center of the École Polytechnique Fédérale de Lausanne.I am also Research Topic Coordinator in the EUROfusion Tokamak Exploitation WorkPackage, for the Research Topic 04: Physics-based machine generic systems for an integrated control of plasma discharge, and an Associate Editor in the Franklin Open journal.In 2022-2023, I have been an Assistant Professor in Automatic Control at the University of Tuscia, Viterbo.Before that, from 2019 to 2021,
Daryl Yee Wei LiangIncoming Assistant Professor of Electrical and Microengineering (March 2023)
Keivan Faghih NiresiExpertise
Computational sensing/imaging, Inverse problems, Signal processing, Graph neural networks, Domain adaptation.
Keivan is a PhD student at école Polytechnique Fédérale de Lausanne (EPFL). He joined the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink in February 2023.Prior to joining EPFL, he obtained his master's degree from the Institute of Communications Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua Univer
Konstantinos KarapiperisKostas Karapiperis is an Assistant Professor at EPFL directing the Data-Driven Mechanics Laboratory (LMD). His research lies at the intersection of mechanics, multiscale modeling, and data science, with applications ranging from geomaterials to structural materials. Prior to EPFL, he worked as a Postdoctoral Researcher and Lecturer at the Department of Mechanical and Process Engineering of ETH Zürich, supported by a Marie Sklodowska-Curie Fellowship. He holds a PhD in Applied Mechanics and a Minor in Applie
Pasquale Davide SchiavoneTeaching & PhD Courses Design technologies for integrated systems CS-472 Hardware compilation is the process of transforming specialized hardware description languages into circuit descriptions, which are iteratively refined, detailed and optimized. The course presents algorithms, tools and methods for hardware compilation and logic synthesis.
Yujia ZhangExpertise
Dropletronics: microscale droplet-based modular iontronics (e.g., batteries, diodes, transistors, memristors and circuits)Bioiontronics and bioelectronicsFunctional synthetic, cellular and hybrid tissuesBioengineering and human-machine interfaceAdvanced manufacturing of soft and living matter across multiple scales
2026 Masters Semester Project/Thesis, PhD and Postdoc Positions
Many opportunities exist in microengineering, bioengineering, materials science, microrobots, programming and AI; please
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
Wenlong LiaoExpertise
deep learning, power system, renewable energy, data analysis
Emily Caroline Bezerra AlexandreExpertise
Printed electronics, flexible sensors, sustainable electronics, additive manufacturing
Emily Bezerra obtained her BSc. degree in Science and Technology from the Federal University of Rio Grande do Norte (UFRN), Brazil, in 2019, followed by a second BSc. degree in Materials Engineering from the same institution in 2020. In 2022, she received a master´s degree in Materials Science and Engineering from the King Abdullah University of Science and Technology (KAUST), Saudi Arabia. As part of her maste
Davide TisiGraduated in Physics from University of Modena and Reggio Emilia, Italy. He earned his PhD in SISSA under the supervision of Prof. Stefano Baroni, working on the computation of transport properties of liquids from ab initio approach and neural-network potentials. He joined COSMO as a postdoc in 2022 and he is currently working on simulations of Li-based solid state electrolytes for battery materials.
