Signal Processing and Machine Learning - Challenges and Opportunities

Speaker:  Prof. Israel Cohen

1 Aprile 2026 | 11:00
DEIB, Sala Seminari "A. Alario" (Ed. 21)

Contatti:  Prof.  Fabio Antonacci

Sommario

On April 1^st, 2026, at 11:00 am the seminar on "Signal Processing and Machine Learning - Challenges and Opportunities" will take place in DEIB “Alessandra Alario” Seminar Room (Building 21).

This talk will explore the challenges and opportunities in the growing fields of signal processing and machine learning. We will begin by defining signal processing and examining its various applications, including audio and image processing, communications, and data analysis. We will address the main challenges faced by professionals in this area, such as noise reduction, data integrity, and algorithm efficiency. Additionally, we will highlight current trends shaping the landscape of signal processing, along with innovative applications emerging in sectors like healthcare, finance, and autonomous systems. Finally, we will explore future opportunities at the intersection of signal processing and machine learning, focusing on advancements in real-time data processing and enhanced predictive analytics. This discussion aims to provide an overview of the potential within this exciting field.

Biografia

Israel Cohen is a Visiting Professor at the Department of Electronics, Information, and Bioengineering, Polytechnic of Milan. He holds the Louis and Samuel Seiden Professorship in Electrical and Computer Engineering at the Technion, Israel Institute of Technology. He is an IEEE Fellow and has served as a Distinguished Lecturer for the IEEE Signal Processing Society.
He is a co-editor of the Multichannel Speech Processing section of the Springer Handbook of Speech Processing and a coauthor of Fundamentals of Signal Enhancement and Array Signal Processing (Wiley-IEEE Press, 2018).
He has received an Honorary Doctorate from Karunya Institute of Technology and Sciences, the Norman Seiden Prize for Academic Excellence, the Alexander Goldberg Prize for Research Excellence, and the Muriel and David Jacknow Award for Teaching Excellence.