Yujia ZhangEnseignement et PhD Doctorant·es actuel·les Yuyan Su, Shulang Shen, Jiaqi Liu Cours Advanced microfabrication practicals MICRO-373 Ce TP permet une formation approfondie sur les méthodes avancées de micro et nanofabrication dans un environnement de salle blanche pour des applications sélectionnées, d'acquérir des connaissances plus approfondies sur les processus MEMS/NEMS, de travailler dans un petit groupe avec des doctorants/ MOOC: Micro and Nanofabrication (MEMS) - Fall MICRO-
Olga FinkEnseignement et PhD Doctorant·es actuel·les Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei A dirigé les thèses EPFL de Ismail Nejjar, Mengjie Zhao Cours Data Science for infrastructure condition monitoring CIVIL-332 Le cours couvrira les étapes pertinentes de la surveillance de l'état des infrastructures basée sur les données: l'acquisition des données, en passant p
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
Wouter Richard KarthausEnseignement et PhD Doctorant·es actuel·les Jillian Rose Love, Estelle Deby, Ester Simkova, Turan Badalli Cours Cellular and molecular biology II BIO-207 Ce cours est destiné à familiariser les étudiants avec l'organisation 3-dimensionnelle d'une cellule eucaryote, sa compartimentalisation, comment des compartiments communiquent entre eux et comment une cellule communique avec son environment. Les mécanismes moléculaires sous jascents seront abordés. Practical - Karthaus Lab BIO-
Milena Maria SchuhmacherEnseignement et PhD Doctorant·es actuel·les Mélissa Ruiz, Gary Domeniconi, Linda Wedemann Cours Chemical Biology Seminar Series 1 CH-635 Chemical Biology Seminar Series 2 CH-636 Chemical Biology Seminar Series 3 CH-637 Practical - Schuhmacher Lab BIO-618
Andres Osorio SalazarExpertise
Robotics, advanced actuator design, soft actuators, sensor design, embedded systems, human-machine interface architecture, electronic-less control, mechanism design, additive and traditional manufacturing, industrial automation, process control, and fluid robotics.
Current Work
Smart Footwear for Diabetic Foot Care and Ulcer PreventionEvery 20 seconds, a person with diabetes has to face an amputation somewhere in the world. The main risk factor is high plantar pressure combined with foot nephropat
Yoan Désiré DuhooEnseignement et PhD Cours Integrative structural biology for Life sciences BIO-643 Recombinant protein expression in animal cells for applications in medicine and structural biology BIO-701
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
Virginia CarnevaliExpertise
Theoretical condensed matter physics: theory and simulations of structural, electronic, magnetic and optical properties (Quantum ESPRESSO), ab-initio molecular dynamics (CP2K), and Kinetic Monte Carlo codes; automate Quantum ESPRESSO workflows and high-throughput calculations (AFLOWÏ€); generation of tight-binding hamiltonians, transport properties, and data analysis (PAOFLOW).Materials for photovoltaic: Pb- and Sn-based organic perovskites; investigation and improvement of the HTL-ETL interaction
Francesca RodinoExpertise
Electrochemical BiosensorsSensors and Biosensors interfaces | front-end electronicsBiomedical circuits and systems
RechercheOther Tavakolidakhrabadi, A., Domange, T., Nalm, C., Rodino, F., Meimandi, A., Bessire, C., & Carrara, S. (2024). A Novel Microfluidic System for Capacitive Detection via Magnetophoretic Separation of Malaria-Infected Red Blood Cells. IEEE Sensors Letters. DOI: 10.1109/LSENS.2024.3451238Barbruni, G. L., Rodino, F., Ros, P. M., Demarchi, D., Ghezzi, D., & Carrara, S. (2024). A
Satyam TiwariEnseignement et PhD Doctorant·es actuel·les Subhasis Dehury
Aleksandar AntanasijevicEnseignement et PhD Doctorant·es actuel·les Camilla Di Giulio, Kiruthika Kumar, Yash Garodia Cours Biological chemistry I BIO-212 La biochimie est une discipline clé dans les sciences de la vie. La chimie biologique I et II sont deux cours étroitement interconnectés qui visent à comprendre en termes moléculaires les processus qui rendent la vie possible. General chemistry for SV CH-100 Ce cours couvre les notions de chimie générale, relatives à la matière et sa structure, l
Camille Véronique Bernadette GoemansCamille's research focuses on understanding how antibiotics and non-antibiotic drugs affect the diverse bacteria from the human gut microbiota and how they contribute to dysbiosis and the development of antibiotic resistance. To achieve this goal, she combines systems approaches with molecular microbiology, bacterial genetics and biochemistry.She obtained her Bachelor's and Master's degrees in Biomedical Sciences from the UCLouvain, Belgium, after which she completed her PhD (FRIA national fellowship) at th
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.
Marianne LiebiEnseignement et PhD Doctorant·es actuel·les Atreyee Acharya, Dominique Olivier Windisch, Sici Wang, Torne Tänzer, Else Linnea Rensmo, Carolina Gutierrez Bolaños Cours Material science at large scale facilities MSE-435 Ce cours donne une introduction à la recherche sur les matériaux utilisant les rayons X et les neutrons. Après une introduction aux grands instruments de recherche, nous plongerons dans les différentes méthodes, y compris des exemples d'application dans divers domaines de la
Geovani RizkExpertise
Distributed Machine Learning, Robustness, Safety, Optimization, Multi-Agent, Bandits in Graphs
I am a postdoctoral researcher at école Polytechnique Fédérale de Lausanne since 2022, where I work with Rachid Guerraoui on robustness of distributed machine learning algorithms. From 2018 to 2022, I completed my Ph.D. in computer science at Université Paris Dauphine-PSL on multi-agent bandits in graphs under the supervision of Yann Chevaleyre, Rida Laraki, Igor Colin, and Albert Thomas.Pre-prints Over
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
Junrui ChenJunrui Chen was born in 1995 in Jinhua, China.
He achieved his BSc. in mechanism and its automation from Beihang University(BUAA), Beijing in 2017. Meanwhile, he also gets a second degree in Business administration and management. He graduated with MSc. at Karlsruhe Institute of Technology (KIT), Germany in 2021, majored in medical technology (IBT, Instituts für Biomedizinische Technik) and Biomems technology (IMT, Institute of Microstructure Technology).
In March 2022 he joined Integrated Circuits Laboratory (ICLAB) at EPFL and is currently pursuing his Ph.D. in Microsystems and Microelectronics under the supervision of Prof. Sandro Carrara. His current research field is based on silicon memristive nanowire, which is a cross-discipline project supported by expertise in Microstructure technology, promoted by a solid background in Machinery and Electronics, and supplemented by programming skills.
Andrea CavalliEnseignement et PhD Doctorant·es actuel·les Alessia Ghidini Cours Drug Discovery CH-630
