Petr MotlicekEnseignement et PhD Doctorant·es actuel·les Shashi Kumar A co-dirigé les thèses EPFL de Subhadeep Dey, Weipeng He, Juan Pablo Zuluaga Gomez Cours Digital Speech and Audio Coding EE-719 The goal of this course is to introduce the engineering students state-of-the-art speech and audio coding techniques with an emphasis on the integration of knowledge about sound production and auditory perception through signal processing techniques.
Alexandre Massoud AlahiAlexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.
David Atienza AlonsoDavid Atienza Alonso is an associate professor of EE and director of the Embedded Systems Laboratory (ESL) at EPFL, Switzerland. He received his MSc and PhD degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for multi-processor system-on-chip (MPSoC) servers and edge AI architectures. Dr. Atienza has co-authored more than 350 papers, one book, and 12 patents in these previous areas. He has also received several recognitions and award, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He has also earned two best paper awards at the VLSI-SoC 2009 and CST-HPCS 2012 conference, and five best paper award nominations at the DAC 2013, DATE 2013, WEHA-HPCS 2010, ICCAD 2006, and DAC 2004 conferences. He serves or has served as associate editor of IEEE Trans. on Computers (TC), IEEE Design & Test of Computers (D&T), IEEE Trans. on CAD (T-CAD), IEEE Transactions on Sustainable Computing (T-SUSC), and Elsevier Integration. He was the Technical Program Chair of DATE 2015 and General Chair of DATE 2017. He served as President of IEEE CEDA in the period 2018-2019 and was GOLD member of the Board of Governors of IEEE CASS from 2010 to 2012. He is a Distinguished Member of ACM and an IEEE Fellow.
Aleksandra RadenovicEnseignement et PhD Doctorant·es actuel·les Helena Miljkovic, Akhil Sai Naidu, Karl Rufus Pang Yeo, Wei Guo, Eveline Simone Mayner, Nianduo Cai, Marianna Mitsioni A dirigé les thèses EPFL de Paolo Annibale, Camille Alice Raillon, Fabrizia Dutto, Arun Shivanandan, Metin Kayci, Jiandong Feng, Roman Bulushev, Michael Graf, Adrien Charles Descloux, Sebastian James Davis, Martina Lihter, Evgenii Glushkov, Vytautas Navikas, Arielle Louise Planchette, Michal Daniel Macha, Mukeshchand Thakur, Nathan Ronceray, Kha
Jean-Louis ScartezziniDirecteur du Laboratoire d'Energie Solaire et de Physique du Bâtiment à l'EPFL (1994-présent); Fondateur & Directeur de l'Institut des Infrastructures, des Ressources et de l'Environnement à l'ENAC (2002-2009); Fondateur & Directeur du Programme Doctoral en Environnement de l'EPFL (2002-2009); Co-Directeur de l'Institut des Techniques du Bâtiment de l'EPFL (1994-1997); Professeur Associé de Physique du Bâtiment à l'EPFL (1994-1997); Professeur Associé de Physique du Bâtiment à l'Université de Genève (1990-1997); Chef de Groupe & Chercheur associé au Laboratoire d'Energie Solaire et de Physique du Bâtiment de l'EPFL (1981-1989); Chercheur associé au Groupe de Recherche en Energie Solaire de l'EPFL (1981-1989); Chercheur associé à l'Institut de Géophysique Appliquée de l'Université de Lausanne (1980-1981).
Alexandre SchmidEnseignement et PhD A dirigé les thèses EPFL de Mahsa Shoaran, Wen-Yang Hsu, Reza Ranjandish, Keyvan Farhang Razi, Mohammad Javad Karimi A co-dirigé les thèses EPFL de Milos Stanisavljevic, Neil Joye, Vahid Majidzadeh Bafar, Hossein Afshari, Nikola Katic, Abdulkadir Akin Cours Analog circuits for biochip EE-518 Introduction à la conception analogique CMOS pour des biocapteurs à distance sur puce. Compréhension et la conception de systèmes de biocapteurs actifs et alimentés à distance. Compré
Andrea CavallaroExpertise
Machine learning for multimodal perception, computer vision, machine listening, and information privacy.
Enseignement et PhD Doctorant·es actuel·les Yung-Chen Tang, Ante Maric, Cen Lu, Haruki Shirakami, Lei Xu, Dina El Zein, Jose Rafael Espinosa Mena, Shashi Kumar, Martin Schonger, Olena Hrynenko, Darya Baranouskaya Cours Deep learning EE-559 Ce cours explore la conception de réseaux de neurones discriminatifs et génératifs fiables, ainsi que les enjeux éthiques de l'acquisition
Ian SmithPhD Université de Cambridge, 1982 Interêts 1 Contrôle actif de la forme des structures pour améliorer leur aptitude au service et leur déploiement 2 Structures biomimétiques (apprentissage, auto-diagnostic, auto-réparation) 3 Gestion de l'infrastructure par l'identification structurale 4 Applications avancées de l'informatique Plus de détails, voir https://www.epfl.ch/labs/imac/fr/recherche/smith_ian_fr/ Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Mathew Magimai DossEnseignement et PhD Doctorant·es actuel·les Karl El Hajal, Tilak Purohit A co-dirigé les thèses EPFL de Ramya Rasipuram, Marzieh Razavi, Hannah Muckenhirn, Sandrine Tornay, Subrahmanya Pavankumar Dubagunta, Enno Hermann, Julian David Fritsch, Neha Tarigopula, Mostaani Zohreh, Eklavya Sarkar Cours Automatic speech processing EE-554 L'objectif de ce cours est de présenter les principaux formalismes, modèles et algorithmes permettant la réalisation d'applications mettant en oeuvre des techniq
Mohammad Khaja NazeeruddinDr. Md. K. Nazeeruddin received M.Sc. and Ph. D. in inorganic chemistry from Osmania University, Hyderabad, India. He joined as a Lecturer in Deccan College of Engineering and Technology, Osmania University in 1986, and subsequently, moved to Central Salt and Marine Chemicals Research Institute, Bhavnagar, as a Research Associate. He was awarded the Government of Indias fellowship in 1987 for study abroad. After one year postdoctoral stay with Prof. Graetzel at Swiss federal institute of technology Lausanne (E P F L), he joined the same institute as a Senior Scientist. His current research focuses on Dye-sensitized solar cells, Hydrogen production, Light-emitting diodes and Chemical sensors. He has published more than 380 peer-reviewed papers, ten book chapters, and inventor of 40 patents. The high impact of his work has been recognized with invitations to speak at over 80 international conferences, including the MRS Fall (USA, 2006) and Spring 2011 Meetings, GORDON conference (2014), and has been nominated to the OLLA International Scientific Advisory Board. He appeared in the ISI listing of most cited chemists, and has more than 33'500 citations with an h-index of 89. He is teaching "Functional Materials" course at EPFL, and Korea University; directing, and managing several industrial, national, and European Union projects on Hydrogen energy, Photovoltaics (DSC), and Organic Light Emitting Diodes. He was awarded EPFL Excellence prize in 1998 and 2006, Brazilian FAPESP Fellowship in 1999, Japanese Government Science & Technology Agency Fellowship, in 1998, Government of India National Fellowship in 1987-1988. Recently he has been appointed as World Class University (WCU) professor by the Korea University, Jochiwon, Korea (http://dses.korea.ac.kr/eng/sub01_06_2.htm) and Adjunct Professor by the King Abdulaziz University, Jeddah, Saudi Arabia. 