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I am a Research Associate in the Department of Electronic & Electrical Engineering at the University of Strathclyde, with a PhD in Computing Science from the University of Stirling and a Master of Engineering in Software Engineering from Heriot-Watt University. My research focuses on image processing, computer vision, and edge AI, particularly for industrial and scientific applications. I have experience developing domain-specific optimisations of image processing algorithms on novel heterogeneous architectures.


My expertise spans across computer vision, neuromorphic computing, hyperspectral imaging, and hardware performance optimization.

2024
  • Ali, T., Rainey, J., Lau, S., Gheorghiu, E., Maier, P., Appiah, K., & Bhowmik, D. An FPGA-based neuromorphic vision system accelerator. SPIE Sensors + Imaging.
  • Ali, T., Paul, G., Nicol, R., & Bhowmik, D. Scheduling algorithms on heterogeneous architecture for efficient vision systems. Proc. SPIE 13137, Applications of Digital Image Processing XLVII, 131370F. doi:10.1117/12.3031278
  • Kumar, H., Ali, T., Holder, C., McGough, S., & Bhowmik, D. Remote Sensing Classification using Quantum Image Processing. SPIE: Photonics for Quantum.
  • Ali, T., et al. Energy Aware CNN Deployment on Heterogeneous Architectures. IEEE Trans. on Circuits and Systems for Video Technology. [Revisions In Progress]
2023
  • Ali, T., Bhowmik, D., & Nicol, R. Domain-Specific Optimisations for Image Processing on FPGAs. J Signal Process Syst 95, 1167–1179. doi:10.1007/s11265-023-01888-2
  • Bane, M., Brown, O., Ali, T., Bhowmik, D., Quinn, J., & Stansby, D. ENERGETIC: Final Report v1.1. doi:10.23634/MMU.00631226