Lin DuLin Du obtained her BSc in Electronic Information Engineering and her MSc in Information and Communication Engineering respectively from Beijing Institute of Technology, China.From December 2022, she joined Integrated Circuits Laboratory (ICLAB) at EPFL. She is studying for her PhD in Electrical Engineering focusing on machine learning algorithms for drug concentration estimation from data acquired by the sensors. The PhD project is co-supervised by Prof. Sandro Carrara (EPFL) and Prof. Yann Thoma (HEIG-VD)
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
Arman MaghsoudniaEducation Electrical Engineering | 2018 – 2023 Sharif University of Technology
Teaching & PhDCOM-405 | Mobile networks This course provides a detailed description of the organization and operating principles of mobile and wireless communication networks, as well as the use of wireless signals for sensing and imaging.COM-304 | Intelligent systems: communications & AI The course teaches the development of systems that solve real-world challenges in communications, signal processing, foundati
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
Junrui ChenJunrui Chen achieved his BSc. degree in Mechanism and its automation from Beihang University (BUAA), Beijing, China in 2017. Meanwhile, he also received a second degree in Business administration and management. He completed his MSc in Mechatronics and Information Technology at Karlsruhe Institute of Technology (KIT), Germany, in 2021. During his master's studies, he participated in a project at the Institute of Biomedical Engineering (BIT) to optimize an interface for ECG/PLT signal detection using MATLAB
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
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
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
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•
Jean-Charles Louis André CoustyTeaching & PhD Courses Automated analytical and synthetic chemistry 1 ChE-602 The course gives a general understanding of lab automation theory and practical knowledge. It is structured to integrate theoretical foundations, hands-on practical exercises (e.g., Arduino programming), and individualized project analysis.
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.
Stefano Di LeoneTeaching & PhD Courses Automated analytical and synthetic chemistry 1 ChE-602 The course gives a general understanding of lab automation theory and practical knowledge. It is structured to integrate theoretical foundations, hands-on practical exercises (e.g., Arduino programming), and individualized project analysis.
Tony Louis MerleTeaching & PhD Courses Water and wastewater treatment ENV-405 This course on water and wastewater treatment shows how to apply physical and chemical methods and techniques to produce drinking water, and how to implement and design different methods and techniques to eliminate organic matter, nitrogen, and phosphorus from wastewater.
Raphaël Alain MunozTeaching & PhD Courses Artistic Practices - Interactivity HUM-322 The aim of this course is to design a video game in Unity in which walking is at the heart of the experience. Drawing on references, prototypes and the environmental narrative, students will create an immersive journey in which each step activates elements of the story.
Elisabeth MuellerTeaching & PhD Courses Multidisciplinary NPs characterization MSE-676 Four experienced scientists will guide students into the world of NPs characterization with different approaches, from laboratory characterization to X-ray/neutron scattering and electron microscopy. The main knowledge acquired will concern the overview of possible complementary technique.
Geovani RizkExpertise
Distributed Machine Learning, Robustness, Safety, Optimization, Multi-Agent, Bandits in Graphs
I am a postdoctoral researcher at école Polytechnique Fédérale de Lausanne since 2022, where I work with Rachid Guerraoui on robustness of distributed machine learning algorithms. From 2018 to 2022, I completed my Ph.D. in computer science at Université Paris Dauphine-PSL on multi-agent bandits in graphs under the supervision of Yann Chevaleyre, Rida Laraki, Igor Colin, and Albert Thomas.Pre-prints Over
Amir JafargholiTeaching & PhD PhD Students Senlu Zhou Courses Antennas EE-446 The students will first learn the fundamental principles governing antennas and get familiar with the main antenna types. In the second part, students will work in groups on an antenna design project. Through this, they will learn to use common simulation tools, and perform antenna measurements
Roberto RibattiTeaching & PhD Courses Specialisation semester PHYS-597 Students have the opportunity to apply their knowledge in a project contributing to specialize them in a physics field. The project can take place in an external or internal laboratory or in a research institute.
Gopal Narmada NaiduExpertise
Researcher with 8+ years of experience in computational physics and multiphysics modeling, focused on numerical simulation of light–matter interactions and photon propagation. Proficient in FEM, FDTD, and Monte Carlo methods to model energy conversion and optical behavior, with additional expertise in AI/ML techniques for model optimization and design exploration. Strong background in photonic devices, photo-thermal, thermo-optical effects, and nanostructure engineering. Adept at translating compl
