2. Professors
  3. GRAGNANIELLO Diego
  4. Curriculum

Curriculum

Diego GRAGNANIELLO Curriculum

Diego Gragnaniello received a Ph.D. in Electronics and Telecommunications engineering in 2015 from the University of Naples Federico II, Italy. His thesis was awarded the IEEE Biometrics Council (Italy Section Chapter) prize for the year's best thesis. In 2017, he joined the National Research Council of Italy (Cognitive System Laboratory). He's currently a Tenure-Track Assistant Professor (SSD ING-INF / 05 "Information Processing Systems") at the Department of Information and Electrical Engineering and Applied Mathematics (DIEM) of the University of Salerno.

He published about forty papers in international journals and conferences, participated in several research competitions, and achieved top scores. Furthermore, he contributed to numerous international research projects, including the DARPA projects MediFor (2016-2020) and SemaFor (2020-2024), MOST in the Spoke 6 (Connected and Autonomous Vehicles) (2022-2025) and in the Flagship B FULLROAD (2024-2025) project. He is Principal Investigatorof the PRIN Project "Artificial Intelligence for the automatic interpretation of Ground Penetrating Radar data for subsoil risk assessment and disaster management" (AI4Dite).

His research activities are mainly focused on Computer Vision and Pattern Recognition, with particular interest in intelligent surveillance, including the detection of fire or adverse weather conditions, and autonomous driving applications. During his PhD and post-doc he worked on the recognition of counterfeit images, especially with applications to Biometric recognition systems, and on the classification of medical images for the recognition and follow-up of pathologies.

He holds the courses of Machine Learning and Artificial Intelligence for OMIC Data Analysis.

He is the DIEM's delegate to International activities.

He is the vice-chair of the Eurasip Signal and Data Analytics for Machine Learning Technical Area Committee. He serves as Associate Editor for the IEEE Transactions on Circuits and Systems for Video Technology. He served as Guest Editor of the Special Issue on "Advances in Digital Security: Biometrics and Forensics" for Elsevier Pattern Recognition Letters, as Managing Guest Editor of the Special Issue on "Adversarial Deep Learning in Biometrics & Forensics" for Elsevier Computer Vision and Image Understanding and the Special Issue on "Advances in Deep Learning" on MDPI Applied Science, for which he was invited to join the Topical Advisory Panel. He organized the International Workshop on Recent Advances in Digital Security: Biometrics and Forensics, 2019. He served as Technical Area Chair at European Signal Processing Conference since 2022.