Vassily HatzimanikatisEnseignement et PhD Doctorant·es actuel·les Denis Alain Henri Lucien Joly, Luca Milazzo, David Liaskos, Konrad Lagoda, Omar Keshk, Yigit Sibal, Ioannis Tzegiannakis A dirigé les thèses EPFL de Keng Cher Soh, Julien Racle, Noushin Hadadi, Stefano Andreozzi, Stepan Tymoshenko, Meriç Ataman, Joana Raquel Pinto Vieira, Tiziano Dallavilla, Yves Berset, Anush Chiappino-Pepe, Milenko Tokic, Tuure Eelis Hameri, Jasmin Maria Hafner, Homa Mohammadi Peyhani, Daniel Robert Weilandt, Zhaleh Hosseini, Sofia Tsouka, Mar
Rizlan Bernier-LatmaniHIGHER EDUCATION
Summer course: Advances in Genome Technology and Bioinformatics Course at the Marine Biology Laboratory in Woods Hole, MA. October 2005.
Ph.D. 2001 Civil and Environmental Engineering, Stanford University, CA
(Advisor, Jim Leckie, Biodegradation of uranyl (UO22 )-complexed citrate and implications for uranyl mobility in the subsurface)
M.S. 1995 Civil and Environmental Engineering, Stanford University, CA
B.S. 1993 Natural Resources with Honors, Cornell University, Ithaca, NY
PROFESSIONAL EMPLOYMENT
2013-present Associate professor with tenure, School of Architecture, Civil and Environmental Engineering, Swiss Federal Institute of Technology, Lausanne
2005-2013 Assistant professor tenure track, School of Architecture, Civil and Environmental Engineering, Swiss Federal Institute of Technology, Lausanne
2001-2005 Post-Graduate Researcher, Scripps Institution of Oceanography, La Jolla, CA (PI: Brad Tebo)
1995-2001 Graduate Research Assistant, Stanford University (Advisor: Jim Leckie)
RESEARCH INTERESTS
Gemicrobiology, metal-bacteria interactions, biological reduction and oxidation of metals, biological nanoparticle formation; Characterization of microbial communities in terrestrial environments; Using genomic, microscopic and spectroscopic tools to understand metal transformations by microorganisms.
ACADEMIC HONORS
Rotary Foundation University Professor grant, 2004.
Swiss National Science Foundation Post-doctoral Fellowship, 2001.
Leon B. Reynolds Memorial Scholarship in the School of Engineering at Stanford University, 1995-96.
Graduated with Honors from Cornell University, 1993.
BIBLIOMETRY
http://www.researcherid.com/rid/E-4398-2011
ResearcherID: E-4398-2011 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).
Guillaume AnciauxEnseignement et PhD Doctorant·es actuel·les Parissasadat Alavi, Thibault Ghesquière-Diérickx A co-dirigé les thèses EPFL de Srinivasa Babu Ramisetti, Jaehyun Cho, Lucas Frérot, Mohit Pundir, Manon Eugénie Voisin--Leprince Cours Modélisation numérique des solides et structures CIVIL-321 La modélisation numérique des solides est abordée à travers la méthode des éléments finis. Les aspects purement analytiques sont d'abord présentés, puis les moyens d'interpolation, d'intégration et de résolu
Kevin SivulaEnseignement et PhD Doctorant·es actuel·les Odile Louise Andres, Arthur Eliot Bouchez, Benjamin Goldman, Nicolas Johannes Diercks, Aurélie Fanny Marie Célérien, Jiajun Li, Louise Marie Foltzer-De Cian, Melanie Victoria Johanning, Nils William Laurent Golay A dirigé les thèses EPFL de Andrea Gasperini, Pauline Bornoz, Xavier Adrian Jeanbourquin, Xiaoyun Yu, Mathieu Steven Prévot, Muhammad Aiman Bin Rahmanudin Hamdan, Nhât-Tân Vuong, Yongpeng Liu, Arvindh Sekar, Barbara Alexandra Primera Darwich, Rebekah An
Frédéric BlancExpertise
Physique des hautes énergies
Enseignement et PhD Doctorant·es actuel·les Rita De Sousa Ataíde Da Silva, Dimitrios Kaminaris, Maria Carolina Feliciano Faria A dirigé les thèses EPFL de Lino Ferreira Lopes, Vladimir Macko, Guillaume Max Pietrzyk A co-dirigé les thèses EPFL de Jessica Prisciandaro, Giovanni Veneziano, Sebastiana Gianì, Lino Ferreira Lopes, Guillaume Max Pietrzyk Cours Selected topics in nuclear and particle physics PHYS-400 Ce cours présente les fondements et l'état
