Keivan Faghih Niresi is a Ph.D. student at the École Polytechnique Fédérale de Lausanne (EPFL) in the Intelligent Maintenance and Operations Systems (IMOS) Laboratory under the supervision of Prof. Olga Fink. His research focuses on reliable computational sensing through signal processing and machine learning on graphs.
He obtained his M.Sc. in Communications Engineering from National Tsing Hua University (NTHU), Taiwan, where he worked on optimization, robust statistics, deep learning, and hyperspectral imaging at the Wireless Communications and Signal Processing (WCSP) Laboratory.
Keivan is also a visiting research student at the Data, Vibration and Uncertainty (DVU) Group, University of Cambridge, where he works on uncertainty quantification of graph neural networks for sensor networks under the supervision of Prof. Alice Cicirello.