Founder of Awaaz-e-Sehat — Pakistan's first AI-backed, speech-based healthcare platform. Expert in human-centered design of technological systems for diverse, low-resource settings and vulnerable communities. Her research spans AI and health, Ethical and Responsible AI, and HCI.
Dr. Murtaza Taj is an Associate Professor of Computer Science at LUMS, where he directs the Computer Vision and Graphics Lab. He holds a Ph.D. from Queen Mary University of London. His research spans efficient deep learning, remote sensing, medical vision-language models and 3D scene understanding, with a focus on AI for climate, conservation and cultural heritage. His work has won the CyArk Summit Award and a Times Higher Education Award.
Dr. Muhammad Ali Siddiqi is a Co-Principal Investigator of the Global Edge AI Lab, where he works on the hardware testbed used to certify AI models on resource-constrained edge devices. He is an Assistant Professor of Electrical Engineering at LUMS and directs the CHASE Lab (Computing Hardware for AI & Security), with research in edge AI, hardware acceleration, hardware security, neuromorphic computing and implantable medical devices. He completed his PhD and postdoctoral research at Erasmus MC and TU Delft, holds visiting researcher positions at both, and previously worked as a design engineer at Silicon Labs.
Dr. Naveed Anwar Bhatti is a faculty member in Computer Science at LUMS, with research spanning embedded systems, energy-efficient sensing, and edge computing. At the Global Edge AI Lab, he leads the development of the testbed for evaluating AI devices under realistic power, connectivity, and environmental constraints. His work focuses on translating research prototypes into reliable systems for resource-constrained settings.
Dr. Zubair Khalid leads the hardware and model optimization integration at the Global Edge AI Lab, bringing the certification testbed and the optimisation workflow together so that AI models for health and education run reliably on the budget phones and clinic gateways used by frontline workers. He is an Associate Professor of Electrical Engineering at LUMS and was part of the team awarded the 2024 ACM Gordon Bell Prize for Climate Modelling.
Dr Farah Nadeem is a co-PI at the Edge AI Lab, where she leads the education vertical, focusing on oral reading fluency assessment on Edge devices. She is an Assistant Professor at the LUMS School of Education and holds a PhD in Electrical and Computer Engineering from the University of Washington, where her dissertation applied machine learning to educational outcomes. Her research spans AI in education, large-scale assessment and education data systems in Pakistan, informed by earlier roles with the World Bank, UNICEF and Punjab’s School Education Department.
Expert on Speech and Natural Language Processing, Speech-based Human Computer Interfaces, Machine Learning, and Information & Communication Technologies for Development (ICT4D).