Yves KazemiEnseignement et PhD Cours Urban Green&Blue infrastructure and global warming ENV-462 Le cours introduit le concept des infrastructures urbaines vertes et bleues dans le contexte du réchauffement climatique. Il présente les connaissances, concepts et méthodes permettant de planifier, développer et entretenir un réseau d'infrastructures vertes et bleues dans les zones urbaine.
Virginia LangVirginia started in the medical research field as a Coordinator of Research at the Clinical Research Unit Kennedy Institute of Johns Hopkins Medical Center. She was responsible for the initiation, coordination, and management and/or analysis of research projects in the Clinical Research Unit. These projects were funded by various Federal Government Agencies. Subsequent to Johns Hopkins Medical Center, Virginia entered the field of Human Factors through the doctoral program at SUNY Binghamton. Virginia held a fellowship at the Aeromedical Research Laboratory of the United States Air Force at Wright-Patterson AFB, Dayton, Ohio and a fellowship at NASA. Her research dealt with cognitive factors that differentially affect the characteristics of visual displays. Applications of this research are directly related to various medical devices and software applications providing Medical Device Human Factors by HirLan clients with 30 years of Human Factors experience. In addition, Virginia has extensive experience in the areas of product design, Customer Centered Participatory Design processes, and product lifecycle management. She is also known in the Human Computer Interaction and Usability Communities for her innovative techniques for collecting and incorporating user/customer feedback throughout the product lifecycle. In July 2014, Virginia founded and established the HirLan Institute of Human Factors with labs in Carlsbad, California and a Consortium arrangement in London, UK. HirLan supports Top Ten pharma/medical device companies, as well as, start-ups with consulting and testing services. These services are in conjunction with their clients’ FDA 510(k) and CE mark applications. Virginia holds a PhD in Cognitive-Experimental Psychology from SUNY Binghamton, and a Master of Science (ABT) in Applied Technology, Systems Science from SUNY Binghamton.
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Jaïr Kees Evert Karel CampfensJair Kees Evert Karel Campfens is a doctoral assistant at the HERUS lab. He is an engineer by Eindhoven University of Technology (TU/e) and holds a MSC in Sustainable Energy Technology. Moreover, he holds a double degree MSc in Public Policy & Human Development from Maastricht University and the United Nations University. Education Public Policy & Human Development | Master of Science 2021 – 2022 Maastricht University UNU-MERIT Sustainable Energy Technology | Master of Science
Adriano MeleEnseignement et PhD Cours Control and Operation of Tokamaks PHYS-748
Ilaria RossinelliEnseignement et PhD Cours Durabilité ENV-101 Ce cours présente les enjeux mondiaux de la durabilité. Il introduit les limites planétaires, leur interconnexion systémique et les thèmes de justice sociale. L'approche interdisciplinaire initie au travail de groupe et à la pensée systémique (interdépendances dans un système complexe).
Gopal Narmada NaiduExpertise
Researcher with 8+ years of experience in computational physics and multiphysics modeling, focused on numerical simulation of light–matter interactions and photon propagation. Proficient in FEM, FDTD, and Monte Carlo methods to model energy conversion and optical behavior, with additional expertise in AI/ML techniques for model optimization and design exploration. Strong background in photonic devices, photo-thermal, thermo-optical effects, and nanostructure engineering. Adept at translating compl
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
Meret AeppliEnseignement et PhD Doctorant·es actuel·les Bence Dienes, Emma Lorraine Defrang, Elisa Berger, Michelangelo Vuono Cours Environmental chemistry ENV-200 Ce cours fournit aux étudiants une vue d'ensemble sur les bases de la chimie de l'environnement: chimie des systèmes naturels et le devenir des produits chimiques anthropiques dans les systèmes naturels. Il permet aux étudiants d'appliquer les concepts chimiques généraux aux systèmes naturels. Fate and behaviour of environmental contamina
Vittorio ErbaEnseignement et PhD Cours Statistical physics of computation PHYS-512 Les étudiants comprennent les outils de la physique statistique des systèmes désordonnés et les appliquent pour étudier des problèmes d'informatique et de statistiques en théorie des graphes, en optimisation discrète, ainsi qu'en inférence et en apprentissage automatique.
Keivan Faghih NiresiExpertise
Computational sensing/imaging, Inverse problems, Signal processing, Graph neural networks, Domain adaptation.
Keivan is a PhD student at école Polytechnique Fédérale de Lausanne (EPFL). He joined the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink in February 2023.Prior to joining EPFL, he obtained his master's degree from the Institute of Communications Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua Univer
Federico AmatoI have an MSc in Engineering and a Ph.D. in Sustainable Development and Innovation Engineering. After a three-year Postdoc in Environmental Data Mining, in 2021 I joined the Swiss Data Science Centre, a joint venture between the polytechnical schools of Lausanne (EPFL) and Zurich (ETH) having as mission the acceleration of the digital transformation of the academic community and the industrial sector, putting to work Artificial Intelligence and Machine Learning and facilitating the multidisciplinary exchange of data and knowledge.
Over the years I worked on the development of methodological tools to mine and model big spatiotemporal datasets. I extensively applied such methods to study the interaction between the spatial and temporal components of environmental and geographical phenomena, and their consequences in terms of spatial planning and urban geography. My academic activity has focused on the analysis of land-use dynamics and their relationship with climate, pollution, natural hazards, and other social/economic phenomena. I have deep competencies in applied statistics, machine learning, geocomputation, spatial statistics, urban modeling, and remote sensing. I am also an expert in European Project development and implementation.
