Lyesse LalouiDirector, EPFL Soil Mechanics LaboratoryDirector, EPFL Civil Engineering SectionEditor in Chief, ElsevierMember of the Swiss Academy of Engineering SciencesFounding Partner, Geoeg & MeduSoilActive in academic research in the following institutions: Lausanne, EPFL, Durham, Duke University, Nanjing, Hohai UniversityProfessor Lyesse Laloui teaches at EPFL, where he directs the Soil Mechanics Laboratory as well as the Civil Engineering Section. He is a founding partner of the international engineering company Geoeg, and the start-up MeduSoil. In addition, he is an adjunct professor at Duke University, USA and an advisory professor at Hohai University, China as well as honorary director of the International Joint Research Center for Energy Geotechnics in China.He is the recipient of an Advance ERC grant for his BIO-mediated GEO-material Strengthening project. Editor in Chief of the Elsevier Geomechanics for Energy and the Environment journal, he is a leading scientist in the field of geomechanics and geo-energy. He has written and edited 13 books and published over 320 peer reviewed papers; his work is cited more than 6000 times with an h-index of 39 (Scopus). Two of his papers are among the top 1% in the academic field of Engineering. He has given keynote and invited lectures at more than 40 leading international conferences. He has received several international awards (IACMAG, RM Quigley, Roberval) and delivered honorary lectures (Vardoulakis, Minnesota; G.A. Leonards, Purdue; Kersten, Minnesota). He recently acted as the Chair of the international evaluation panel of Civil and Geological Engineering R&D Units of Portugal.Nov. 2019 For further information visit www.epfl.ch/labs/lms/ ; geoeg.net ; medusoil.com Thomas KellerEDUCATION
1992 Dr. sc. techn. (PhD)
Swiss Federal Institute of Technology, Zurich (ETH)
1983 Dipl. Bauing. ETH (MS civil engineering)
Swiss Federal Institute of Technology, Zurich (ETH)
EMPLOYMENT
2007-present, Full Professor of Structural Engineering (100%)
Swiss Federal Institute of Technology, Lausanne (EPFL)
Civil Engineering Institute
1998-2007, Associate Professor of Structural Engineering (80/100%)
Swiss Federal Institute of Technology, Lausanne (EPFL)
Structural Engineering Institute
Foundation of CCLab in 2000
1996-1998, Assistant Professor of Structural Engineering (50%)
Swiss Federal Institute of Technology, Zurich (ETH)
Department of Architecture
1992-2004, Senior Project Engineer and Joint Owner
Engineering offices in Zug and Zurich
1990-1992, Research Scientist
Swiss Federal Institute of Technology, Zurich (ETH)
Structural Engineering Institute
1986-1990, Project Engineer
Architecture and engineering office Calatrava, Zurich
1983-1986, Teaching and Research Assistant
Swiss Federal Institute of Technology, Zurich (ETH)
Structural Engineering Institute
Jean-Philippe ThiranJean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Tudor RatiuCitoyen des Etats-Unis, Tudor Ratiu est né en 1950 à Timisoara, Roumanie. Il a obtenu un diplôme en mathématiques en 1973 ainsi qu'un diplôme de maîtrise en mathématiques appliquées en 1974 à l'Université de Timisoara. Pour des raisons politiques il lui est interdit de poursuivre ses études et en 1975 il est obligé de quitter son pays. En 1980 il obtient un doctorat à l'Université de Californie à Berkeley avec une thèse en mécanique géométrique et est nommé professeur assistant de recherche T.H. Hildebrandt à l'Université de Michigan, Ann Arbor.
En 1983 il rejoint l'Université d'Arizona, Tucson, comme professeur associé et en 1987 l'Université de Californie, Santa Cruz, ou il est nommé professeur ordinaire en 1988. Il lui a été décerné une bourse postdoctorale du Fonds national scientifique américain, une bourse de la fondation A.P. Sloan, la chaire de recherche professoriale Miller à Berkeley, une bourse Fulbright et le prix allemand A. von Humboldt. Il a été professeur et chercheur invité dans plusieurs départements et instituts de recherche mathématiques du monde.
Les thèmes principaux de sa recherche sont l'analyse globale, la mécanique des fluides et du plasma, la dynamique hamiltonienne, la mécanique géométrique, la géométrie symplectique et de Poisson, la théorie de bifurcations et l'étude des systèmes complètement intégrables. Ses travaux concernent l'aspect mathématique de ces problèmes ainsi que leurs applications en physique et les sciences d'ingénieur. Il est auteur, en collaboration, de plusieurs livres de spécialité.
En 1997 il est nommé professeur ordinaire en analyse au Département de mathématiques et entre en fonction en juillet 1998.
Stewart ColeProfessor Stewart Cole is an international authority in bacterial molecular-genetics and genomics. He has made outstanding contributions in several fields including: bacterial anaerobic electron transport; genome analysis of retroviruses and papillomaviruses; antibiotic resistance mechanisms; and the molecular microbiology of toxigenic clostridia. His studies on isoniazid and multidrug resistance in Mycobacterium tuberculosis, together with his pioneering work on the pathogenicity, evolution and genomics of the tubercle and leprosy bacilli, have made him an undisputed leader in the field of mycobacterial research. The findings of his research are of direct relevance to public health and disease-control in both the developing world and the industrialised nations. He has published over 250 scientific papers and review articles, and holds many patents.
Henry MarkramHenry Markram started a dual scientific and medical career at the University of Cape Town, in South Africa. His scientific work in the 80s revealed the polymodal receptive fields of pontomedullary reticular formation neurons in vivo and how acetylcholine re-organized these sensory maps.
He moved to Israel in 1988 and obtained his PhD at the Weizmann Institute where he discovered a link between acetylcholine and memory mechanisms by being the first to show that acetylcholine modulates the NMDA receptor in vitro studies, and thereby gates which synapses can undergo synaptic plasticity. He was also the first to characterize the electrical and anatomical properties of the cholinergic neurons in the medial septum diagonal band.
He carried out a first postdoctoral study as a Fulbright Scholar at the NIH, on the biophysics of ion channels on synaptic vesicles using sub-fractionation methods to isolate synaptic vesicles and patch-clamp recordings to characterize the ion channels. He carried out a second postdoctoral study at the Max Planck Institute, as a Minerva Fellow, where he discovered that individual action potentials propagating back into dendrites also cause pulsed influx of Ca2 into the dendrites and found that sub-threshold activity could also activated a low threshold Ca2 channel. He developed a model to show how different types of electrical activities can divert Ca2 to activate different intracellular targets depending on the speed of Ca2 influx an insight that helps explain how Ca2 acts as a universal second messenger. His most well known discovery is that of the millisecond watershed to judge the relevance of communication between neurons marked by the back-propagating action potential. This phenomenon is now called Spike Timing Dependent Plasticity (STDP), which many laboratories around the world have subsequently found in multiple brain regions and many theoreticians have incorporated as a learning rule. At the Max-Planck he also started exploring the micro-anatomical and physiological principles of the different neurons of the neocortex and of the mono-synaptic connections that they form - the first step towards a systematic reverse engineering of the neocortical microcircuitry to derive the blue prints of the cortical column in a manner that would allow computer model reconstruction.
He received a tenure track position at the Weizmann Institute where he continued the reverse engineering studies and also discovered a number of core principles of the structural and functional organization such as differential signaling onto different neurons, models of dynamic synapses with Misha Tsodyks, the computational functions of dynamic synapses, and how GABAergic neurons map onto interneurons and pyramidal neurons. A major contribution during this period was his discovery of Redistribution of Synaptic Efficacy (RSE), where he showed that co-activation of neurons does not only alter synaptic strength, but also the dynamics of transmission. At the Weizmann, he also found the tabula rasa principle which governs the random structural connectivity between pyramidal neurons and a non-random functional connectivity due to target selection. Markram also developed a novel computation framework with Wolfgang Maass to account for the impact of multiple time constants in neurons and synapses on information processing called liquid computing or high entropy computing.
In 2002, he was appointed Full professor at the EPFL where he founded and directed the Brain Mind Institute. During this time Markram continued his reverse engineering approaches and developed a series of new technologies to allow large-scale multi-neuron patch-clamp studies. Markrams lab discovered a novel microcircuit plasticity phenomenon where connections are formed and eliminated in a Darwinian manner as apposed to where synapses are strengthening or weakened as found for LTP. This was the first demonstration that neural circuits are constantly being re-wired and excitation can boost the rate of re-wiring.
At the EPFL he also completed the much of the reverse engineering studies on the neocortical microcircuitry, revealing deeper insight into the circuit design and built databases of the blue-print of the cortical column. In 2005 he used these databases to launched the Blue Brain Project. The BBP used IBMs most advanced supercomputers to reconstruct a detailed computer model of the neocortical column composed of 10000 neurons, more than 340 different types of neurons distributed according to a layer-based recipe of composition and interconnected with 30 million synapses (6 different types) according to synaptic mapping recipes. The Blue Brain team built dozens of applications that now allow automated reconstruction, simulation, visualization, analysis and calibration of detailed microcircuits. This Proof of Concept completed, Markrams lab has now set the agenda towards whole brain and molecular modeling.
With an in depth understanding of the neocortical microcircuit, Markram set a path to determine how the neocortex changes in Autism. He found hyper-reactivity due to hyper-connectivity in the circuitry and hyper-plasticity due to hyper-NMDA expression. Similar findings in the Amygdala together with behavioral evidence that the animal model of autism expressed hyper-fear led to the novel theory of Autism called the Intense World Syndrome proposed by Henry and Kamila Markram. The Intense World Syndrome claims that the brain of an Autist is hyper-sensitive and hyper-plastic which renders the world painfully intense and the brain overly autonomous. The theory is acquiring rapid recognition and many new studies have extended the findings to other brain regions and to other models of autism.
Markram aims to eventually build detailed computer models of brains of mammals to pioneer simulation-based research in the neuroscience which could serve to aggregate, integrate, unify and validate our knowledge of the brain and to use such a facility as a new tool to explore the emergence of intelligence and higher cognitive functions in the brain, and explore hypotheses of diseases as well as treatments.
