Paolo Bestagini is an Associate Professor at Politecnico di Milano with nine years of focused experience developing algorithms for audio, image and video analysis. His research blends multimedia forensics and acoustic signal processing, producing data-driven DeepFake detectors, PRNU-based camera attribution methods, and microphone-array localization techniques. He has a strong track record of translating academic research into practical forensic tools across domains as diverse as satellite imagery, seismic data and ground-penetrating radar. Paolo regularly teaches graduate courses in audio and multimedia signal processing and has collaborated internationally through visiting appointments at Purdue, Imperial College and Universidade Estadual de Campinas. Notably, his work reveals cross-modal forensic insights—leveraging techniques from audio processing to inform image and video integrity analysis—reflecting an uncommon interdisciplinary approach.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Information Technology, with honors, Doctor of Philosophy - PhD, Information Technology, with honors at Politecnico di Milano
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