Shaik Mohammed ZakeeruddinEnseignement et PhD A co-dirigé les thèses EPFL de Magdalena Anna Marszalek, Jiyoun Seo, Marko Stojanovic, Natalie Flores Diaz, Anwar Qasem M Alanazi, Thomas Paul Baumeler, Essa Awadh R Alharbi, Masaud Hassan S Almalki
Christophe BallifChristophe Ballif is director of the Phototovoltaics and Thin Film Electronics Laboratoryb) (PV-Lab at the institute of microengineering (IMT) in Neuchâtel (part of the EPFL since 2009). The lab focus is on the science and technology of high efficiency heterojunction crystalline cells,so-called passivating contacts for solar cells, multi-junction solar cells include novel generation Perovskite on innovative optical high speed detector and on various macroelectronics application. It also deals with energy management with a focus on integration of solar electricity into the energy system. The PV-Lab has strongly contributed to technology transfer and industrialization of novel devices and full technology with numerous companies. Christophe Ballif graduated as a physicist from the EPFL in 1994, where he also obtained in 1998 his Phd degree working on novel PV materials. He accomplished his postdoctoral research at NREL (Golden, US) on compound semiconductor solar cells (CIGS and CdTe). He worked then at the Fraunhofer ISE (Ge) on crystalline silicon photovoltaics (monocrystalline and multi-crystalline) until 2003 and then at the EMPA in Thun (CH) before becoming full professor at the University of Neuchâtel IMT in 2004, taking over the chair of Prof. A. Shah. Since 2013, C.Ballif is also the director of the new CSEM PV-Center, also located in Neuchâtel. The CSEM PV-Center is focussing more on industrialisation and technology transfer in the field of solar energy, including solar electricity management and storage. At the core of the CSEM PV-center activities lies several "pilot lines" for various kinds of solar cells manufacturing, with a focus coating technologies, wet chemistry processes for crystalline silicon, metalisation techniques for solar cells, and a platform for developing "ideal packaging solutions and polymers" for PV modules. In addition, joined facitilites between CSEM and EPFL of over 800 m2 are available for modules manufacturing, measuring and accelerated aging. CSEM PV-center has also full team dedicated to storage and energy systems and operates a joined center with BFH in Biel for research on electrochemical storage. He (co-) authored over 500 journal and technical papers, as well as several patents. He is an elected member of the SATW, member of the scientific council of the Swiss AEE, and member of the board of the EPFL Energy center. In 2016, he recieved the Becquerel prize for his contributions to the field of high efficiency photovoltaics.
Herbert SheaEnseignement et PhD Doctorant·es actuel·les Myoung Ju Kim, Xintong Tong, Huapeng Zhang, Rohit Kadungamparambil John, Yichi Luo, Lucas Aurélien Jourdan, Ayana Mizutani, Donghyun Kim A dirigé les thèses EPFL de Michael Bodendorfer, Renato Krpoun, Samuel Rosset, Muhamed Niklaus, Kaustav Ghose, Samin Akbari, Vinu Lalgudi Venkatraman, Luc Maffli, Simon Dandavino, Tobias Bandi, Subha Chakraborty, Pietro Romano, Alexandre Poulin, Marianna Fighera, Nadine Besse, Alexis Pierre Henri Marette, Reto Wiesendanger, Fr
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
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.
Roberto CastelloRoberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain.
In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment.
He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020).
Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).
Mirko KovacProf. Mirko Kovač is Director of the Laboratory of Sustainability Robotics, jointly appointed at the Swiss Federal Laboratories for Materials Science and Technology (Empa) in Zürich and the Swiss Federal Institute of Technology Lausanne (EPFL). He holds an Honorary Professorship at Imperial College London, where he previously served as Full Professor and founded the Aerial Robotics Laboratory.His research group develops mobile robotic systems for distributed environmental sensing and autonomous manufacturin
Sara BonettiExpertise
Ecohydrological and geomorphological modeling
Education PhD | Civil and Environmental Engineering 2018 – 2018 Duke University
Teaching & PhD PhD Students Benjamin Andre De Blois Kargere, Qiming Sun, Frédéric Laurent Lardet, Taiqi Lian, Felix Bauer Courses Ecohydrological modeling ENV-411 This course provides the theoretical basis for understanding and modeling the interactions between the hydrologic cycle, vegetation, soil, climate, and human society. Hydrology
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