Mats Julius StensrudTeaching & PhD PhD Students Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau Past EPFL PhD Students Matias Janvin, Amit Sawant Courses Causal thinking MATH-352 This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability and statistics (
Yanina Yurina ShkelTeaching & PhD PhD Students Serhat Emre Coban, Anuj Kumar Yadav, Cemre Çadir Courses Advanced probability and applications COM-417 In this course, various aspects of probability theory are considered. The first part covers the main theorems in the field (law of large numbers, central limit theorem), while the second part focuses on the theory of martingales and concentration inequalities. Signal processing COM-202 Signal processing theory and applications: discrete and cont
Vladimir ManucharyanTeaching & PhD PhD Students Chulwoo Ahn, Marco Nicolas Mueller, Taketo Imaizumi, Andrea Lizzit, Andrea Duina, Nikola Dimitrov Dimitrov Courses Microwave engineering in physics QUANT-410 This course aims at teaching basic notions and tricks of microwave engineering to students with only an elementary knowledge of applied electromagnetism. Emphasis is made on topics that often arise in modern physics experiments, including quantum science and technology research. Quantum mechanics for non-
Virginia LangVirginia started in the medical research field as a Coordinator of Research at the Clinical Research Unit Kennedy Institute of Johns Hopkins Medical Center. She was responsible for the initiation, coordination, and management and/or analysis of research projects in the Clinical Research Unit. These projects were funded by various Federal Government Agencies. Subsequent to Johns Hopkins Medical Center, Virginia entered the field of Human Factors through the doctoral program at SUNY Binghamton. Virginia held a fellowship at the Aeromedical Research Laboratory of the United States Air Force at Wright-Patterson AFB, Dayton, Ohio and a fellowship at NASA. Her research dealt with cognitive factors that differentially affect the characteristics of visual displays. Applications of this research are directly related to various medical devices and software applications providing Medical Device Human Factors by HirLan clients with 30 years of Human Factors experience. In addition, Virginia has extensive experience in the areas of product design, Customer Centered Participatory Design processes, and product lifecycle management. She is also known in the Human Computer Interaction and Usability Communities for her innovative techniques for collecting and incorporating user/customer feedback throughout the product lifecycle. In July 2014, Virginia founded and established the HirLan Institute of Human Factors with labs in Carlsbad, California and a Consortium arrangement in London, UK. HirLan supports Top Ten pharma/medical device companies, as well as, start-ups with consulting and testing services. These services are in conjunction with their clients’ FDA 510(k) and CE mark applications. Virginia holds a PhD in Cognitive-Experimental Psychology from SUNY Binghamton, and a Master of Science (ABT) in Applied Technology, Systems Science from SUNY Binghamton.
Savvas SaloustrosEducation PhD | Construction Engineering 2017 – 2017 UPC-BarcelonaTech, Spain MSc | Structural Analysis of Monuments and Historical Constructions (SAHC) 2013 – 2013 University of Padova, Italy & UPC-BarcelonaTech, Spain Diploma | Civil Engineering 2012 – 2012 National Technical University of Athens, Greece Professionals experiences Co-founder & Board Member 2019–2019 FENECStructural Engineer 2019–2019 Windmill Structural Constultants, Barcel
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.
Amine BenouhibaAmine Benouhiba graduated from the Preparatory School of Science and Technology, Algeria, in 2012. He received his engineering degree in material engineering from Ecole Nationale Polytechnique (ENP), Algeria, in 2015. He also received his master’s degree in innovative materials from Ecole centrale de Lyon (ECL) in 2016. He completed his Ph.D. degree in 2020 at the Bourgogne-Franche-Comté University. Currently, he is a postdoctoral researcher at Ecole polytechnique fédérale de Lausanne (EPFL). His research interests include the design and development of soft robotics, origami-inspired structures and microrobotics.
