Aiding Healthcare Providers in Making Well-informed Decisions using Machine Learning
Non-invasive Limb Prosthetics Helping Amputees Carry Out Everyday Tasks With Ease
Using Mobile Sensors to Acquire Fitness Data from Patients to Determine the Effects of Everyday Stimuli
Processing and Analysing Data to Predict Impacts on Patient Health and Aiding Medical Research

Muhammad Asad Raza has a Bachelors in Electrical Engineering. His research interests include Biomedical Signal Processing and Machine Learning.

Syed Abrahim Ali Shah Mechatronics engineering graduate. He has vast experience in designing IOT and wearable technology. His interests include prosthetics and robotics.

Dr Muhammad Tahir is a PhD from Politecnico di Torino in the field of Electronics and Telecommunication. His research interests include receiver baseband signal processing algorithm design and development, Bayesian signal processing, detection and estimation theory, channel coding in communication networks, machine learning and Particle Filters. He is currently a Professor of Electrical Engineering at Lahore University of Management Sciences