Hamza Shakeel

Hamza Shakeel serves as Associate Professor (Reader) at Queen's University Belfast within the School of Electronics, Electrical Engineering and Computer Science. He holds affiliations with the Material and Advanced Technologies for Healthcare Institute and Energy Power and Intelligent Control research group, maintaining an active laboratory in Ashby Tower (Room 07.010). His work bridges semiconductor manufacturing, MEMS development, and environmental sensing technologies.

Research focuses on microelectromechanical systems for precision sensing applications, particularly MEMS-based chemical sensors, microfluidics, and functional nanomaterials. Key specializations include lab-on-a-chip devices, micro-gas chromatography systems, quartz crystal microbalance sensors, and MEMS oscillators for gas/liquid analysis. Current projects emphasize greenhouse gas monitoring, microbial volatile collection, and advanced semiconductor manufacturing techniques using 3D printing.

Recent publications demonstrate convergence of MEMS sensor innovation with AI-driven edge computing for environmental monitoring. Work spans materials science (fused silica resonators), analytical chemistry (photoionization detectors), and microfabrication techniques, showing consistent output in high-impact journals and conferences since 2011 with accelerating productivity through 2025.

Scientific recognition includes:

• 3rd Prize Poster Presentation at Graduate Research Symposium, Blacksburg (2014)
• Early Career Travel Grant (2019)

Secured research funding includes 6 active projects as PI/CoI, notably the National Edge AI Hub for cyber-disturbance analysis and MISO observatory for greenhouse gas monitoring across extreme environments. Supervised 3 research students with ongoing PhD recruitment in semiconductor and glass manufacturing.

Laboratory resources include Agilent Gas Chromatography System, SRS QCM instrumentation, Laser Doppler Vibrometer, and specialized microfabrication equipment supporting sensor development from design through field deployment.