Sanggyu ChongSanggyu "Raymond" Chong obtained his BS, MS and PhD degrees in Chemical and Biomolecular Engineering from Korea Advanced Institute of Science and Technology (KAIST), where he primarily focused on the computational design of metal-organic frameworks for applications ranging from gas storage to functional electronics. In March 2022, Sanggyu joined COSMO as a postdoctoral researcher, and he is currently investigating the robustness of local and/or component-wise predictions made by atomistic machine learning m
Jakov OrebEnseignement et PhD Cours Stone masonry: Past, present, and future PENS-232 Ce cours présente les aspects historiques, structurels et environnementaux de la maçonnerie en pierre, en particulier le rôle de la maçonnerie en pierre dans l'architecture, le comportement structurel de base et les approches permettant de prédire et d'évaluer la performance des bâtiments.
Michael HerbstSee also
https://matmat.org: Group websitehttps://michael-herbst.com: Blog & personal website
Enseignement et PhD Doctorant·es actuel·les Niklas Frederik Schmitz, Anna Paulish, Bruno Ploumhans, Benedikt Menges Cours Error control in scientific modelling MATH-500 Les erreurs sont omniprésentes dans les sciences informatiques. En ce qui concerne les problèmes de valeurs propres motivés par la science des matériaux et la modélisation atomistique, nous discutons, mettons en œuvre et appliquons David Michael Volpe RuggieroEnseignement et PhD Doctorant·es actuel·les Ömer Faruk Behçet, Elias Merhi, Enrico Pinelli, Ahmad Abdulrahman Ahmad Majdouba, Muhammad Mahmood Mohi Ud Din Cours Reinforced concrete structures CIVIL-323 Ce cours initie l'étudiant au comportement et à la conception des structures en béton armé. L'étudiant apprendra les principes d'analyse du béton armé et comment concevoir des éléments communs en béton, notamment des colonnes, des poutres et des dalles. Reinforced concrete structures - adv
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.
Amir JafargholiEnseignement et PhD Doctorant·es actuel·les Senlu Zhou Cours Antennas EE-446 Les étudiants apprendront d'abord les principes fondamentaux des antennes et se familiariseront avec les types principaux. Dans un deuxième temps, ils travailleront en groupe sur un projet de design d'antennes. Ceci leur permettra d'acquérir des compétences en simulation et en mesure d'antennes.
Alexander DittrichCurrent Work
My research interests are somewhere between neural networks with Hebbian plasticity, meta-reinforcement learning, and the control of rather unconventional soft robotic platforms like tensegrity robots.
Han SunExpertise
Deep Learning, Computer Vision, Domain Adaptation, Generative Modeling
Open Projects:
Test-Time Domain Adaptation for Anomaly Detection: SiROP link for detailed information
Han obtained her master's degree in Geomatic from the Federal Institute of Technology in Zürich (ETHZ). Before joining IMOS Lab - EPFL, she focused on computer vision with a particular interest in domain adaptation & style adaptation. During her Ph.D. study, she will explore more in the field of domain adaptation with its appli
Sangwoo KimSangwoo Kim is set to join EPFL as a Tenure Track Assistant Professor in September 2023. Prior to his appointment at EPFL, he served as a postdoctoral fellow in the Department of Mechanical Engineering at the University of California, Santa Barbara. He earned his graduate degree in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign, where his research delved into the relationships between statistics, geometry, and mechanical states in cellular matters. Currently, his research focus on fundamental understanding of biological and living systems, as well as the study of soft and active matter employing principles from mechanics and physics. His research interests encompass embryonic development, tissue morphogenesis, structure and mechanics of soft materials, inherent structure of amorphous materials, and non-equilibrium dynamics of active matter.
