Dr. Muhammad Ahmed Raza

Assistant Professor

PhD in Informatics, the University of Edinburgh

  • ahmed.raza@itu.edu.pk

RESEARCH INTERESTS

• Computer Vision • Machine & Deep Learning • Human Motion Analysis • Human Centric Modelling

Biography

Dr. Muhammad Ahmed Raza obtained his PhD in Informatics from the University of Edinburgh. Previously, he has worked with Sony (Japan), for developing and optimizing human-centric algorithms. He earned his Bachelors in Electrical Engineering from PIEAS and Masters in Computer Vision from Air University, where he received a fellowship and a Silver Medal. He has published in top journals and conferences, including NeurIPS. He is passionate to work on advancing the country’s AI ecosystem, mentoring young engineers, and developing technologies that address local challenges while aligning with global innovation.

  • [1]      C. Long-fei, M. A. Raza, C. Innes, S. Ramamoorthy, and R. B. Fisher, “Unobtrusive Monitoring of Physical Weakness: A Simulated Approach,” arXiv Prepr. arXiv2406.10045, 2024.
  • [2]      L. Chen, M. A. Raza, C. Innes, S. Ramamoorthy, and R. B. Fisher, “Unobtrusive Monitoring of Physical Weakness: A Simulated Approach,” CoRR, 2024.
  • [3]      M. A. Raza, C. Lochhead, and R. B. Fisher, “Effect of face obfuscation methods on pose-based action recognition,” in International Conference on AI in Healthcare, 2024.
  • [4]      L. Chen, M. A. Raza, I. Saied, T. Arslan, and R. B. Fisher, “Measuring Changes in Upper Body Movement Due to Fasting Using a Camera,” Sensors, vol. 24, no. 22, p. 7242, 2024.
  • [5]      M. A. Raza, “Visual assessment of changes in activity levels while eating,” 2024.
  • [6]      M. A. Raza and R. B. Fisher, “Vision-based approach to assess performance levels while eating,” Mach. Vis. Appl., vol. 34, no. 6, p. 124, 2023.
  • [7]      M. A. Raza, L. Chen, L. Nanbo, and R. B. Fisher, “EatSense: Human centric, action recognition and localization dataset for understanding eating behaviors and quality of motion assessment,” Image Vis. Comput., vol. 137, p. 104762, 2023.
  • [8]      N. Li, M. A. Raza, W. Hu, Z. Sun, and R. Fisher, “Object-centric representation learning with generative spatial-temporal factorization,” Adv. Neural Inf. Process. Syst., vol. 34, pp. 10772–10783, 2021.
  • [9]      M. A. Raza, H. Bint-e-Naeem, A. Yasin, and M. H. Yousaf, “Birdview retina-net: Small-scale object detector for unmanned aerial vehicles,” in 2021 16th international conference on emerging technologies (ICET), IEEE, 2021, pp. 1–6.
  • [10]    M. A. Raza, Q. Hussain, S. Mustafa, M. A. Bhatti, and M. Ahmad, “A Two Fold Approach for Object Recognition with Bag of Visual Words using Artificial Neural Network,” in 2020 IEEE 23rd International Multitopic Conference (INMIC), IEEE, 2020, pp. 1–6.
  • [11]    M. A. Rehman, M. A. Raza, M. Ahmed, M. A. Ijaz, M. Ahmad, and M. H. Mahmood, “Comparative analysis of video stabilization using SIFT flow and optical flow,” in 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), IEEE, 2019, pp. 1–6.
  • [12]    M. Ahmad, A. Khan, M. A. Raza, M. A. Khan, and M. A. Rehman, “Study, design and analysis of an optimized off-gird renewable AC/DC microgrid for a rural school in swabi, Pakistan,” in 2019 22nd International Multitopic Conference (INMIC), IEEE, 2019, pp. 1–6.
  • [13]    M. Ahmad, M. U. Mehmood, R. Nawaz, M. Umair, Q. Hussian, and M. A. Raza, “A multilevel inverter topology with reduced switches,” in 2018 IEEE 21st International Multi-Topic Conference (INMIC), IEEE, 2018, pp. 1–5.
  • [14]    M. A. Raza, M. A. Rehman, I. M. Qureshi, and M. H. Mahmood, “A Simplified approach to Visual Odometry using Graph Cut RANSAC,” in 2018 5th International Multi-Topic ICT Conference (IMTIC), IEEE, 2018, pp. 1–7.
  • [15]    M. Awais, H. Ilyas, H. Bin Younus, M. A. Raza, and T. Abbas, “Optimal switching angles for minimization of total harmonic distortion in single phase cascaded multilevel inverters,” in 2016 19th International Multi-Topic Conference (INMIC), IEEE, 2016, pp. 1–6.
  • [16]      M. Awais, M. A. Raza, H. Ilyas, H. Bin Younus, and T. Abbas, “A novel problem formulation for selection of switching angles for minimization of total harmonic distortion in cascaded multilevel inverters,” in 2016 international conference on emerging technologies (ICET), IEEE, 2016, pp. 1–6.

  • HEC Scholarship (PhD)– Competitive nationwide award with full waiver & stipend.
  • Air University Fellowship (MS)– Competitive nationwide award with full waiver & stipend.
  • Silver Medal– 2nd Position in MS (Computer Vision), Air University.

  • Former PhD Scholar, University of Edinburgh, UK
  • Former Computer Vision Research Intern, Sony Japan
  • Founding member and former Computer Vision Engineer, Danu Robotics, UK
  • Former Research Associate, University of Engineering and Technology (UET) Taxila
  • Former Research Assistant & Lab Instructor, Air University, Pakistan