Keivan Faghih Niresi

Expertise 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 University (NTHU) where he conducted research in convex and non-convex optimization, statistical signal processing, deep learning, and hyperspectral imaging under the supervision of Prof. Chong-Yung Chi. He also had the opportunity to work as a machine learning engineer intern at PranaQ, where he focused on developing signal processing and feature extraction algorithms for biomedical signals such as photoplethysmogram (PPG) and electrocardiogram (ECG). Education Master of Science | Communications Engineering 2020 – 2022 National Tsing Hua University Bachelor of Science | Electrical Engineering 2015 – 2019 University of Guilan Teaching & PhDCIVIL-332 Data Science for infrastructure condition monitoringCourse BookCIVIL-426 Machine learning for predictive maintenance applicationsCourse Book