Vladimir ManucharyanEnseignement et PhD Doctorant·es actuel·les Chulwoo Ahn, Marco Nicolas Mueller, Taketo Imaizumi, Andrea Lizzit, Andrea Duina, Nikola Dimitrov Dimitrov Cours Microwave engineering in physics QUANT-410 Ce cours vise à enseigner les notions de base et les astuces de l'ingénierie des micro-ondes aux étudiants n'ayant qu'une connaissance élémentaire de l'électromagnétisme. L'accent est mis sur des sujets qui apparaissent souvent dans les expériences de physique moderne, y compris la science qua
Loïc Jean Pierre HerviouEnseignement et PhD Cours Solid state physics III PHYS-419 Le but de ce cours est de proposer une introduction à la théorie de quelques phénomènes remarquables en matière condensée tels que l'effet Hall quantique ou la supraconductivité.
Valerio PiazzaEnseignement et PhD Doctorant·es actuel·les Claire Valentine Blaga, Matilde Cantele, Julia Sarah Marhic A co-dirigé les thèses EPFL de Michele Zendrini Cours Propriétés fonctionnelles des matériaux MSE-210 Ce cours a comme objectif de présenter les concepts nécessaires à la compréhension des principes fondamentaux qui permettent de prédire les propriétés d'un matériau. Ces concepts vous permettront de réaliser du "material design" et de comprendre même des nouveaux matériaux pas encore étu
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•
Stefana ParaschoEnseignement et PhD Doctorant·es actuel·les Jingwen Wang, Gabriel Vallat, Maxence Grangeot, Eleni Maria Skevaki, Wenqian Yang, Megi Sinani Cours Capitalizing on Uncertainty AR-809 Digital design and making: A critical introduction AR-503 Le cours présente des méthodes de conception et de fabrication numériques en combinant des compétences techniques avec des connaissances théoriques et une réflexion critique. Les sujets incluent: la programmation pour la conception, la fabr
Ayatallah Ahmed Gamal Kamal ElakhrasExpertise
Dataflow ArchitectureHigh-Level Synthesis
Ayatallah is a Ph.D. student in the Processor Architecture Laboratory, advised by Professor Paolo Ienne. Between October 2023 and March 2024, she did an internship at AMD in the Research and Advanced Development team, under the supervision of Dr. Kristof Denolf. She received a B.Sc. degree in Computer Engineering from the American University in Cairo, Egypt in 2020 and started her Ph.D. in the same year.Her research interests include dataflow architecture,
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.
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
Thomas Georges Pierre VidickEnseignement et PhD Doctorant·es actuel·les Itammar Steinberg, Aviv Taller Cours Formal Mathematics with Lean and AI CS-643 Introduction to quantum computation CS-308 Ce cours introduit le paradigme du calcul quantique de facon axiomatique. Le cours introduit les notions de bit quantique, portes logiques et circuits quantiques, traite les principaux algorithmes quantiques, et les codes correcteurs. Le cours est indépendant de COM-309. Introduction to quantum cryptography
