SHORT BIO

Pasquale Coscia is a Tenure Track Researcher in the Department of Computer Science at the Università degli Studi di Milano and a member of the Industrial, Environmental and Biometric Informatics (IEBI) Laboratory. He earned his Ph.D. degree (2019) in Industrial and Information Engineering from Università degli Studi della Campania "Luigi Vanvitelli". From 2019 to 2022, he was a post-doctoral researcher at the Università degli Studi di Padova. In 2024, he was a Visiting Researcher at the University of Toronto, ON, Canada. He was also a visiting student at the Università degli Studi di Firenze and a visiting researcher at the NATO STO-CMRE in La Spezia. He is the Co-chair of the Intelligent Measurement Systems Technical Committee (TC-22) of the IEEE Instrumentation and Measurement Society (since 2023). He has been a member of the program committee of various IEEE international conferences and workshops. His research activities focus on theoretical, methodological, and applied aspects of computational intelligence for signal and image processing. In particular, he has studied computational intelligence and image synthesis for manufacturing applications and industrial/environmental monitoring, as well as models for analyzing and predicting human motion in crowded contexts for video surveillance. He received the 2021 Best Paper Award from Elsevier's Image and Vision Computing Journal for his work on human motion prediction.

News

• [2024.06] Our paper on Features disentanglement for explainable convolutional neural networks has been accepted to ICIP'24!
• [2024.06] I am a Guest Editor of the Special Issue on Deep Learning for Industrial Applications. [Link]
• [2023.06] Our paper on Adversarial Defect Synthesis for Industrial Products in Low Data Regime has been accepted to ICIP'23!
• [2023.02] I am organizing a special session on AI for Industrial and Environmental Applications at DSP'23.
• [2021.05] I am a co-organizer of the 2^nd Workshop on Benchmarking Trajectory Forecasting Models (BTFM), in conjunction with ICCV'21.
• [2021.05] I have received the Image and Vision Computing Editors Choice Award 2021 for the article Long-term Path Prediction in Urban Scenarios Using Circular Distributions! [Link]
• [2020.06] I am a co-organizer of the 1^st Workshop on Benchmarking Trajectory Forecasting Models (BTFM), in conjunction with ECCV'20.