Faculty Asad Ullah 1

Asad Ullah

Assistant Professor
  • Military College of Signals
  • 0519270284

Dedicated and accomplished computer science professional with expertise in Artificial Intelligence. Adept at conducting cutting-edge research, delivering engaging lectures, and mentoring students to foster their academic and professional growth. Committed to advancing the field of computer science through innovative research contributions and educational excellence. Proven leadership abilities in academic administration and collaborative research innitiatives.

Academic Background
PhD (Information and Communication Engg) Beijing Institute of Technology September 03, 2017 - July 15, 2020
Honours and Awards
A deep learning-assisted visual attention mechanism for anomaly detection in videos December 05, 2024 Muhammad Shoaib, Babar Shah, Tariq Hussain, Bailin Yang, Asad Ullah, Jahangir Khan, Farman Ali, Multimedia Tools and Applications - Vol: 2023, Article No. 1232, Pages: 28
Augmenting the Robustness and Efficiency of Violence Detection Systems for Surveillance and Non-Surveillance Scenarios November 08, 2023 Muhammad Shoaib, Asad Ullah, Irshad Ahmed Abbasi, Fahad Algarni, Adnan Shahid Khan, IEEE Access - Volume 11, Pages 123295-123313
Application of the Deep Convolutional Neural Network for the Classification of Auto Immune Diseases October 31, 2023 Fayaz Muhammad, Jahangir Khan, Asad Ullah, Fasee Ullah, Razaullah Khan, Inayat Khan, Mohammed ElAffendi, Gauhar Ali, CMC-Computers, Materials and Continua - Volume 77, Issue 1, Pages 647-664
An advanced deep learning models-based plant disease detection: A review of recent research March 21, 2023 Muhammad Shoaib, Babar Shah, Shaker EI-Sappagh, Akhtar Ali, Asad Ullah, Fayadh Alenezi, Tsanko Gechev, Tariq Hussain, Farman Ali, Frontiers in Plant Science - Volume 14, Article Number 1158933
A deep learning-based model for plant lesion segmentation, subtype identification, and survival probability estimation December 15, 2022 Muhammad Shoaib, Babar Shah, Tariq Hussain, Akhtar Ali, Asad Ullah, Fayadh Alenezi, Tsanko Gechev, Farman Ali, Ikram Syed, Frontiers in Plant Science - Volume 13, Article Number 1095547
Empirical Investigation of Multimodal Sensors in Novel Deep Facial Expression Recognition In-the-Wild March 18, 2021 Asad Ullah, Jing Wang, M. Shahid Anwar, Taeg Keun Whangbo, Yaping Zhu, Journal of Sensors - Volume 2021, Article ID 8893661, 13 pages
Assistant Professor Sarhad University of Science and Information Technology November 09, 2020 - August 31, 2023
Lecturer/Assistant Professor Riphah International University October 01, 2014 - November 01, 2020
Website Maintenance Engineer KP ITBoard January 01, 2014 - June 30, 2014
Visiting Lecturer GC University March 01, 2013 - March 01, 2016