AI in Healthcare from Video & Sensors: Some Examples
IEEE UK & Ireland SSIT Lecture Programme
Advances in human activity and behavior computing (ABC) using video, skeleton, and IoT sensors are transforming healthcare. My work has addressed gait analysis, autism assessment, rehabilitation, and nursing activity analysis through vision-based methods, complemented by multimodal sensor fusion. Building on these, my current research is extending to two pressing challenges: Parkinson’s disease monitoring and antimicrobial resistance (AMR) analysis. This talk will highlight recent achievements in vision-based ABC and outline future directions where computer vision and AI, together with IoT sensing, can drive breakthroughs in remote monitoring, rehabilitation, and healthcare innovation.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
- Contact Event Host
-
I am the SSIT chapter chair
a.g.hessami@ieee.org
- Co-sponsored by Ali Hessami
- Starts 10 April 2026 11:00 PM UTC
- Ends 04 May 2026 11:00 PM UTC
- No Admission Charge
Speakers
Atiqur of University of East London
Biography:
Md Atiqur Rahman Ahad, Ph.D. (SMIEEE, SMOPTICA) is Professor of AI at University of East London, and Visiting Professor at Kyushu Institute of Technology. He works on AI in healthcare (Parkinson’s Disease, antimicrobial resistance, gait, rehabilitation) using vision and sensors, focuses on AI safety and ethics. He has 60+ awards/grants, 21 books and 220+ peer-reviewed publications. He is an Associate Editor ofPattern Recognition, Editorial Board Member of Scientific Reports, Nature, and General Chair of 9th Int. Conf. on Activity and Behavior Computing(ABC) 2027. He serves on IEEE/ACM journals and conferences.
Email:
Atiqur of University of East London
AI in Healthcare from Video & Sensors: Some Examples
Advances in human activity and behavior computing (ABC) using video, skeleton, and IoT sensors are transforming healthcare. My work has addressed gait analysis, autism assessment, rehabilitation, and nursing activity analysis through vision-based methods, complemented by multimodal sensor fusion. Building on these, my current research is extending to two pressing challenges: Parkinson’s disease monitoring and antimicrobial resistance (AMR) analysis. This talk will highlight recent achievements in vision-based ABC and outline future directions where computer vision and AI, together with IoT sensing, can drive breakthroughs in remote monitoring, rehabilitation, and healthcare innovation.
Biography:
Md Atiqur Rahman Ahad, Ph.D. (SMIEEE, SMOPTICA) is Professor of AI at University of East London, and Visiting Professor at Kyushu Institute of Technology. He works on AI in healthcare (Parkinson’s Disease, antimicrobial resistance, gait, rehabilitation) using vision and sensors, focuses on AI safety and ethics. He has 60+ awards/grants, 21 books and 220+ peer-reviewed publications. He is an Associate Editor of Pattern Recognition, Editorial Board Member of Scientific Reports, Nature, and General Chair of9th Int. Conf. on Activity and Behavior Computing (ABC) 2027. He serves on IEEE/ACM journals and conferences. URL: https://AhadVisionLab.com
Email:
Agenda
1- introduction to SSIT
2- Lecture by Prof Ahad
3- Q&A
2026 Technical Lectures