Recent Research Activities in Computational Imaging and Machine Learning

In this talk Aggelos will provide a high-level overview of the research activities in the Image and Video Processing Lab he is directing in the areas of Computational Imaging and Machine Learning. He will address the evolution of the field transitioning from analytical techniques to learning ones in solving the same problem. He will then describe in more detail the solution of various problems in application areas ranging from Medicine to Astronomy and Cultural Heritage. Among such problems Aggelos will describe our work on the COVID detection from chest X-rays and lab reports, the removal of degradations in videos, the integration of advanced LIGO detector characterization, machine learning, and citizen science, and the automatic identification of layered pigments from XRF data.  He will also discuss certain aspects of visualization and bias in image classification and provide some thoughts on potentially fruitful future research directions.

Speaker

Aggelos K. Katsaggelos  received the Diploma degree in electrical and mechanical engineering from the Aristotelian University of Thessaloniki, Thessaloniki, Greece, in 1979, and the M.S. and Ph.D. degrees in electrical engineering from the Georgia Institute of Technology, Atlanta, in 1981 and 1985, respectively. In 1985, he joined the Department of Electrical Engineering and Computer Science at Northwestern University, where he is currently a professor holder of the Joseph Cummings Chair.  He co-authored five books, one of which is Machine Learning Refined (Cambridge University Press, 2016 1^st edition, 2020 2^nd edition). Prof. Katsaggelos has served the IEEE and other Professional Societies in many capacities; he was, for example, Editor-in-Chief of the IEEE Signal Processing Magazine, a member of the Board of Governors of the IEEE Signal Processing Society, and a member of the Publication Board of the IEEE PROCEEDINGS. He is the recipient of the IEEE Third Millennium Medal (2000), the IEEE Signal Processing Society Meritorious Service Award (2001), the IEEE Signal Processing Society Technical Achievement Award (2010), an IEEE Signal Processing Society Best Paper Award (2001), an IEEE International Conference on Multimedia and Expo Paper Award (2006), an IEEE International Conference on Image Processing Paper Award (2007), an ISPA Best Paper Award (2009) and a EUSIPCO Paper Award (2013). He was a Distinguished Lecturer of the IEEE Signal Processing Society (2007–2008) and he is a Fellow of IEEE (1998), SPIE (2009), EUSIPCO (2017), and OSA (2018), and Life Fellow of IEEE (2022).

Date of event
Donnerstag, 11. Mai 2023

Program
17.30 bis 18.30 Uhr: Talk (Gebäude 8, Raum 8. U44)
18.30 bis ca. 19.30 Uhr: Apéro @ AI-Stammtisch (Gebäude 8, Bistro) 

Event location
OST – Ostschweizer Fachhochschule
Oberseestrasse 10
8640 Rapperswil
Gebäude 8, Raum 8.U44

The talk is aimed at interested individuals and companies, alumni, students and employees of the OST - Ostschweizer Fachhochschule (free entry, no registration necessary).

Contact
Christoph Broder
icai(at)ost.ch

AI-Stammtisch