Join us for this insightful seminar delivered by Professor James Wang titled "The Power of Images: How Visual Data is Transforming Our World"

Abstract:
From the paintings that move us to the medical scans that save lives, images have the power to inform, inspire, and even heal. Distinguished Professor James Wang, a world-renowned expert in visual data analysis, takes you on a journey through the hidden world of images. He'll reveal how computers are learning to 'see' like we do – detecting patterns in medical images for faster diagnosis, guiding robots through complex environments, and even understanding the emotions that a piece of art might evoke.

Prof. Wang's groundbreaking research explores how images speak to us on multiple levels. Discover how his work is teaching machines to decipher the language of visuals, potentially making them more in tune with human emotions. With fascinating examples and clear explanations, this talk will change how you perceive the vast amount of visual information that surrounds you.

About the speaker:
Prof James Z. Wang is the Distinguished Professor of Information Sciences and Technology at The Pennsylvania State University. He received his bachelor’s degree in mathematics summa cum laude from the University of Minnesota, and the MS degree in mathematics, the MS degree in computer science, and the PhD degree in medical information sciences, all from Stanford University. His research interests include image analysis, image modelling, image retrieval, and their applications. He was a visiting professor at the Robotics Institute at Carnegie Mellon University (2007-2008), a lead special section guest editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (2008), and a program manager at the Office of the Director of the National Science Foundation (2011-2012). He is on the editorial board of the IEEE BITS — The Information Theory Magazine’s special issue on Information Processing in Arts and Humanities (2022). He was a recipient of a National Science Foundation Career Award (2004) and Amazon Research Awards (2018, 2019, 2020).

The event is brought to you by the Collaborative Robotics Lab at the University of Canberra and the ACM SIGCHI Chapter for Canberra.

Please arrive by 5:30 pm for a 6:00 pm start. There will be Canapes and drinks before the event.