Mahaa Irshad

Mahaa Irshad MSc, BEng

Computer Scientist / Research Fellow


Summary

I am a Computer Science Research Fellow at the School of Sport and Physical Activity, specialising in Artificial Intelligence applications for sports. I work with the Sports Engineering Research Group, creating bespoke solutions for elite sports. My research area also expands to technology focusing on the promotion of physical activity among the elderly. I also teach the Sports Engineering MSc, focusing on Modelling Mechanics and Applied Measurement in Sports Engineering.

About

I am a Computer Scientist and Research Fellow with expertise across several domains of AI, including prediction modelling, reinforcement learning, computer vision, and deep learning. I have delivered innovative projects for organizations such as Innerva Ltd, the International Tennis Federation (ITF), the Royal Yachting Association (RYA), and British Swimming. 

My recent work on the AGE4A project aims to enhance physical activity in the elderly through gamified interactions with Power Assisted Exercise Equipment (PAEE). I am currently working on a Design Foundations project with eXyo Design, applying computer vision and AI to the gamification of balance rehabilitation.

I have a master’s degree in Intelligent Systems and Robotics from the University of Essex, where my dissertation focused on developing self-learning game-playing agents using reinforcement learning and deep learning. Prior to that, I graduated in 2018 with a BEng degree in Mechatronics Engineering from KIET, Pakistan.

In addition to research, I supervise MSc student projects in collaboration with industry partners, guiding students in applying AI techniques to real-world challenges using actual data. Moreover, I also teach on the MSc Sports Engineering course, focusing on Modelling Mechanics and Applied Measurement in Sports Engineering.

Ultimately, my journey from Mechatronics Engineering to AI research and sports applications reflects a drive to create technology that improves lives. Whether I'm enhancing athletic performance, promoting healthy aging, or inspiring the next generation of engineers, my goal is to use AI to make a positive impact.

Skills: Computer vision, Mechatronics system design, AI, and advanced machine learning techniques.

 

Teaching

School of Sport and Physical Activity

College of Health, Wellbeing and Life Sciences

Subject area or group: 

Computer vision, Artificial Intelligence, Sports Engineering


Courses taught: 

MSc Sports Engineering


Modules taught: 

Modelling Mechanics, Applied Measurement in Sports Engineering


Research

Current research projects: 

Smart Balance Active - Computer vision and AI for the gamification of balance rehabilitation,

AGE4A - Gamified interaction with Power Assisted Exercise Equipment to promote physical activity in the elderly

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