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I-DeepLearn Workshop

I-DeepLearn aims to increase diversity in computer science and related field by inviting students from grades 10-12 to experience machine learning (Artificial Intelligence) and deep learning (AI processing) and their applications, specifically in the healthcare domain. In this one-week online workshop, students will learn about essential concepts in machine learning and deep learning through a dynamic mix of hands-on programming projects and interactive discussions.

PhD Studentship - Lab-on-an-App

PhD Studentship - UCL Institute of Healthcare Engineering EPSRC PhD Studentships on Healthy Ageing

Project Title:  Lab-on-an-App: AI Empowered Point-of-Care Diagnostics for Ageing Population

Project Supervisor:

  • Professor Miguel Rodrigues | Dept Electronic and Electrical Engineering | University College London

Project Co-Supervisors:

Series to Highlight Women in Signal Processing: Monica Bugallo

Mónica F. Bugallo received her Ph.D. in computer science and engineering from University of A Coruña, Spain. She is a Professor of Electrical and Computer Engineering and the Vice Provost for Faculty Affairs, and Diversity, Equity and Inclusion at Stony Brook University, NY, USA. Bugallo is the current Chair of the IEEE SPS Signal Processing Theory and Methods Technical Committee, Senior Associate Editor of the IEEE Signal Processing Letters and Associate Editor of the IEEE Transactions on Signal Processing. 

Series to Highlight Women in Signal Processing: Dr. Supavadee Aramvith

Dr. Supavadee Aramvith received her B.S. (first class honors) degree in Computer Science from Mahidol University, Bangkok, Thailand, in 1993. She received her M.S. and Ph.D. degrees in Electrical Engineering from the University of Washington, Seattle, USA, in 1996 and 2001, respectively.