Muhammad Hamad Alizai

Muhammad Hamad Alizai is an Associate Professor in the Department of Computer Science at the School of Science and Engineering (SBASSE), Lahore University of Management Sciences (LUMS), Pakistan. His research spans the Internet of Things (IoT), Cyber-Physical Systems, Embedded AI, and intermittent computing, with a focus on sustainable and accessible technologies for developing regions.

His research interests include energy harvesting, batteryless computing, GenAI for IoT, wireless sensor networks, and distributed systems. He explores how generative AI can democratize IoT access in low- and middle-income countries and addresses societal challenges through computational solutions. His work is supported by grants from HEC, LUMS, DAAD, and NCBC.

Recent publications reveal a strong trend in intermittent computing, energy-efficient IoT, and AI-driven system optimization, with high-impact papers in ACM SenSys, IPSN, BuildSys, and CACM. His team develops innovative systems like CheckMate, Glitch in Time, and Guardian Angel, tackling reliability, security, and accessibility in transiently powered devices.

Scientific recognitions include:

• Best Paper Candidate at ACM SenSys 2019
• Audience Choice Award at ACM BuildSys 2017
• Best Abstract Award at ACM SenSys 2010

He has advised numerous graduate students, including PhDs like Saad Ahmed and Samar Abbas, and leads pedagogical innovation as head of the LUMS Learning Institute, promoting teaching excellence and AI integration in education. He has served on technical committees for ACM CoNEXT, IPSN, MobiSys, and BuildSys, and organized key workshops in transient computing.

His lab focuses on building privacy-preserving, energy-neutral, and AI-augmented embedded systems, particularly for applications in water, energy, and transportation in developing regions.