James Richard LarusExpertise
James Larus is a Professor Emeritus and former Dean of the School of Computer and Communication Sciences (IC) at EPFL (école Polytechnique Fédérale de Lausanne). Before joining IC in October 2013, Larus was a researcher, manager, and director in Microsoft Research for over 16 years and an Assistant and Associate Professor in the Computer Sciences Department at the University of Wisconsin, Madison.Larus has been an active contributor to numerous communities. He published over 100 papers (with 14 be
Romain GuietExpertise
Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i
Sergi Aguacil MorenoExpertise
- Architecture, energy, building physics and environment- Integration of innovation in buildings | Smart Living Lab- Managing complex projects- Linking research and practice | Research infrastructures- Integrating sustainability into architectural projects- Life cycle assessment and environmental impact studies- Integration of photovoltaic energy in buildings | Renovation and new construction projects | ActiveInterfaces- Multi-criteria studies and assessments
Education PhD in Architecture | A
Maud EhrmannMaud Ehrmann is a research scientist at EPFL’s Digital Humanities Laboratory lead by Prof.
Frédéric Kaplan
. She holds a PhD in Computational Linguistics from the Paris Diderot Universtiy (Paris 7) and has been engaged in a large number of scientific projects centred on information extraction and text analysis, both for present-time and historical documents. Her main research interests span Natural Language Processing and Digital Humanities and include, among others, historical text annotation, historical data processing and representation, named entity recognition, and multilingual linguistic resources creation.
Her current work at the DHLAB focuses on
‘impresso - Media Monitoring of the Past’
, a SNF sinergia project she initiated with
Marten Düring
(
C2DH
) and
Simon Clematide
(
ICL
) and which aims at enabling critical analysis of historical newspapers. In addition to the overall project management, her contributions to this project include system design and data management, annotation and benchmarking and named entity processing. Besides, she participates to the activities of the
Venice Time Machine
, working particularly on information extraction and knowledge representation tasks. Previously, she worked on the
Garzoni
project where she supervised and contributed to the development of a web-based transcription and annotation interface - in collaboration with Orlin Topalov, and built a linked data-based historical knowledge base. She also contributed to the
Le Temps Digital Archives project
.
Prior to joining the DHLAB, she worked at the
Linguistics Computing Laboratory
at the Sapienza University of Rome with Roberto Navigli, where she worked on the
BabelNet
resource - a very large multilingual encyclopaedic dictionary and semantic network - and contributed to the
LIDER
project. Before that, she has been working for four years at the European Commission’s Joint Research Centre in Ispra, Italy, as member of the OPTIMA unit (now
Text and Data mining
unit), which develops innovative and application-oriented solutions for retrieving and extracting information from the Internet with a focus on high multilinguality. Together with Erik van der Goot,
Ralf Steinberger
, Hristo Tanev, Leo della Rocca and many others, she contributed to the development of the
Europe Media Monitor
(EMM). Prior, she worked at the Xerox Europe Research Centre in Grenoble, France (now
Naver Labs Europe
) in the Parsing & Semantics group led by Frédérique Segond, first as PhD candidate supported through a CIFRE grant under the supervision of
Caroline Brun
and
Bernard Victorri
, then as a post-doctoral researcher. There her research focused mainly on the automatic processing and fine-grained analysis of entities of interest, specifically named entities and temporal expressions.
Maria BrbicMaria Brbic is an assistant professor in computer science at EPFL. Prior to joining EPFL, Maria was a postdoctoral researcher in Computer Science at Stanford University working with Jure Leskovec. She received her PhD degree from University of Zagreb in 2019, while also researching at Stanford University and University of Tokyo. Her research was awarded with the Fulbright Scholarship, L’Oreal UNESCO for Women in Science Scholarship, Branimir Jernej award for outstanding publication in biology and biomedicine, and Josip Loncar Silver Plaque award for the best doctoral dissertation. She has been named a Rising Star in EECS by MIT in 2021. Her research is focused on developing new machine learning methods and applying her methods to advance biomedical research.
Dimitrios TerzisDimitrios Terzis received his Civil Engineering diploma from the Aristotle University of Thessaloniki, Greece in 2014, having spent a year in the ESTP, Paris as an exchange student. In 2017, he graduated with a doctoral degree (PhD) in Mechanics from the Swiss Federal Institute of Technology, Lausanne (EPFL). His research, funded by the Swiss National Science Foundation (grant 200021_140246) and a scholarship of Academic Excellence of the Swiss Federal Government (No. 2014.0276), focused on the crystallisation of calcium carbonate in soils. With his thesis, Dimitrios contributed in the fields of advanced material characterisation through microscopy and X-Ray tomography techniques, predictive modelling and full-scale geotechnical applications. He’s the co-inventor of three EPFL patents and the author of more than 10 peer-reviewed publications with an h-index of 6 (Scopus, as of 08/2020). He is the recipient of grants and awards which sum up to over CHF 1 Mn, among which an EPFL Innogrant Fellowship (2018), a Swiss National Science foundation BRIDGE grant (2019) and an Innobooster grant from the Gebert rüf Stiftung. Since 2019 he is the principal lecturer and responsible for the course Innovation for construction and the environment which is part of EPFL's Master's program in Civil Engineering.
Olivier CanévetExpertise
Computer Vision, Machine Learning, Deep Learning
Research engineer at the Idiap Research Institute. I am a research engineer at the Idiap Research Institute. I have a PhD from the école Polytechnique Fédérale de Lausanne doneunder the supervision of Dr François Fleuret. My research was funded by the Swiss National Science Foundation (DASH). I graduated from the French Engineering School TELECOM Bretagne (Brest) in 2012 and hold a Master in image processing from Université de Rennes1. I did a six-
Cécile HardebolleCurrent work
Responsible information systems (https://go.epfl.ch/digitalethics), ethical skills Jupyter notebooks for education (https://go.epfl.ch/notebooks), digital skills, computational thinking Transversal/professional skillsEngineering design skillsFlipped classrooms Project-based learning
Education PhD | Computer Science 2006 – 2008 Université Paris-Sud XI, France Directed by Prof. Guy Vidal-Naquet MSc | Electrical Engineering, major in Computer and Inf 