Dr. Yasar Mehmood

Teaching Fellow

PHD in Computer Science, COMSATS University

  • yasar.mehmood@itu.edu.pk

RESEARCH INTERESTS

His research interests include Computer Vision, Medical Image Processing, Software Process Improvement and Educational Technology.

Biography

Mr. Yasar Mehmood has completed his PHD in Computer Science from COMSATS University, Islamabad, and his Bachelor’s in Computer Science from the Punjab University College of Information Technology, Lahore. Prior to joining ITU, he worked for the Virtual University of Pakistan.

  • Zulfiqar, F., Bajwa, U. I., & Mehmood, Y. (2023). Multi-class classification of brain tumor types from MR images using EfficientNets. Biomedical Signal Processing and Control, 84, 104777. IF: 5.076
  • Ahmad, M., Bajwa, U.I., Mehmood, Y. et al. Lightweight ResGRU: a deep learning-based prediction of SARS-CoV-2 (COVID-19) and its severity classification using multimodal chest radiography images. Neural Comput & Applic (2023). https://doi.org/10.1007/s00521-023-08200-0. IF: 5.102
  • Mehmood, Y., Bajwa, U. I., & Sun, X. (2022). Resource-efficient domain adaptive pre-training for medical images. arXiv preprint arXiv:2204.13280.
  • Raza, R., Bajwa, U. I., Mehmood, Y., Anwar, M. W., & Jamal, M. H. (2022). dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI. Biomedical Signal Processing and Control, 103861. IF: 5.076
  • Tahseen Jilani, Waqas Jawaid, Yasar Mehmood and Syed Shah Muhammad. 2014. “Feature Selection for Agile Development through Data Mining Techniques: an Application”. In Proc. of 2nd International Conference on Computational and Social Sciences (ICCSS-14). (Rize, Turkey). Volume-2. pp. 1473-1480. August 26-28, 2014
  • Yasar Mehmood, Awais Majeed and Athar Mohsin Zaidi. 2013. "Incorporating Business Process Change in Information System Design”. LAP LAMBERT Academic Publishing, ISBN: 978-3-659-40971-4. Publication date: July 5, 2013.
  • Yasar Mehmood, Awais Majeed, 2009. “Incorporating Business Process Change in Information System Design”, CONFENIS 2009, 28-30 October, 2009, Hungary.

NVIDIA Academic Hardware Grant (February, 2022) worth USD 2400