Ali MeimandiExpertise
Research interests:Analog and digital circuit designBiomedical circuits and systems
Ali Meimandi received B.Sc degree in electrical engineering from Amirkabir University of Technology(Tehran Polytechnic), Tehran, Iran, and M.Sc. degree in electronic engineering from Politecnico di Milano, Milan, Italy, in 2018 and 2022, respectively. He is a Research Assistant and doctoral candidate in the BioCMOS Interfaces(BCI) Laboratory at école Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.His res
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
Christian André Clément LafforgueTeaching & PhD Courses Electrical engineering science & technology EE-106 This course introduces the fundamental laws of electricity and the methods for analyzing linear electrical circuits, consisting of resistors, capacitors and inductors. We will start with the Direct Current circuits and then switch to single-phase and three-phase Alternating Current circuits.
Vivek SubramanianTeaching & PhD PhD Students Giovanni Ruffolo, Giada Romano, Sanjay Manoharan, Kyle Haas, Claude Dahan, Biruktait Ayele Lemecho, Yagmur Ceren Alatas, Tugçe Delipinar Past EPFL PhD Students Amin Hodaei, Mustafa Mohieldin Fadlelmula Fadlelseed Past EPFL PhD Students as codirector Mohammad Jafarpour Courses Organic and printed electronics MICRO-505 This course addresses the implementation of organic and printed electronics technologies using large area manufacturing techniques. It will provide
Marianne LiebiMarianne Liebi is Tenure-Track Assistant Professor at EPF Lausanne and head of the Laboratory for X-ray characterization of materials (cam-X) and the group “
Structure and Mechanics of Advanced Materials
” at PSI. She has been appointed in 2021 at EPFL where she is part of the Institute of Materials within the School of Engineering. Marianne Liebi studied Food Science at ETH Zurich where she also obtained her PhD in 2013 in the Laboratory of Food Process Engineering lead by Prof. Erich J. Windhab. Within this project started using small-angle neutron scattering at PSI for the characterization of soft-matter, namely of magnetic alignable self-assembly structures. As a Postdoc in the coherent X-ray scattering group at the Swiss Light Source she worked from 2013-2016 on method development in SAXS tensor tomography. In 2016 she moved to Sweden where after a short period at the NanoMAX beamline, MAXIV Laboratory, Lund she started her own research group in 2017 as Assistant Professor at the Chalmers University of Technology, Gothenburg, and became Docent in Physics in spring 2020. She kept her affiliation at Chalmers University of Technology, where still part of her group is located (
Liebi research group
) when moving back to Switzerland in 2020 where she was Scientific Group Leader in the Center for X-ray Analytics at Empa, St.Gallen, before starting the joint position between EPFL and PSI in November 2021.
Julie Nathalie S GheysenProfessionals experiences PhD student 2018–2022 Université Catholique de Louvain
Teaching & PhD Courses Materials MSE-171 Introduction course of material science applied to usual building materials, especially concrete and metals. Description of their fabrication, mechanical and thermal properties and use in construction. Mechanical behaviour of materials MSE-234 This course provides an introduction to the mechanical behaviour, the processing, the structure and life-cycle o
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
