Summary
Edoardo Cannas is a research scientist specializing in multimedia forensics with a decade of experience developing interpretable and reliable deep learning detectors for deepfakes, image splicing, and other authenticity challenges. Trained at Politecnico di Milano (PhD, MSc) and a former visiting researcher at Purdue VIPER lab, he blends signal-processing roots—originally sparked by a fascination with electric bass sonics—with cutting-edge ML to analyze audio, images, and video. His work emphasizes portability and generalization of forensic tools across domains, including remote sensing and overhead imagery. Currently at GetReal, he focuses on practical detection of AI-generated content, while his academic track record reflects rigorous pursuit of explainable, deployable solutions rather than black-box models.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Electrical and Electronic Engineering, Bachelor of Science, Electrical and Electronic Engineering at Università degli Studi di Cagliari
PhD in Information Engineering, Telecommunications, With Honors, PhD in Information Engineering, Telecommunications, With Honors at Politecnico di Milano
English, Italian