Faculty Profile

Muhammad Ahsan Aslam
Lecturer
Research Interests

  • Machine Learning
  • Computer Vision
  • Big Data

Biography

I have completed my MS Computer Science Degree in 2018.

My Hobbies including playing cricket, reading books, listening news and watching sports.

Awards and Honors

  • Awarded CSC full scholarship for PhD from china.

Publications

  • Muhammad Ahsan Aslam, Muhammad Umer Sarwar, Muhammad Kashif Hanif, Ramzan Talib, and Usama Khalid. "Acoustic classification using deep learning." Int. J. Adv. Comput. Sci. Appl 9, no. 8 (2018): 153-159.
  • Arif, Muhammad Ahsan Aslam, Haseeb Ur Rehman, Mohsin Abbas, and Sarrah Bukhari. "Laboratory Diagnostic Pathways Using Machine Learning.", VFAST Transactions on Software Engineering, Vol 10, NO.1, 2022.
  • Muhammad Ahsan Aslam, Muhammad Tariq Ali, Sunwan Nawaz, Saima Shahzadi, Muhammad Ali Fazal, “Classification of Rethinking Hyperspectral Images using 2D and 3D CNN with Channel and Spatial Attention: A Review”, (JENRS) Journal of Engineering Research and Sciences, Vol 2, ISSUE 4, 2023, Page 22-32
  • Muhammad Ahsan Aslam, Yasir Ali, Saima Shahzadi, Sunwan Nawaz, Muhammad Ali Fazal, Tariq Ali, “Harnessing Artificial Intelligence to Enhance Sports Performance at KFUEIT Pakistan” Xi’an Dianzi Keji Daxue Xuebao/Journal of Xidian University, Vol 17, Issue 7, 2023, Page 275-284
  • Muhammad Tariq Ali, Muhammad Ahsan Aslam, Junaid Ashraf, Sunwan Nawaz, MuhammadAli Fazal, “Genetic Algorithm Based Dynamic Chanel Reservation Scheme for Cognitive Radio Networks”, Xi’an Dianzi Keji Daxue Xuebao/Journal of Xidian University, Vol 17, Issue 8, 2023, Page 336-342.
  • Muhammad Ahmad, Waheed Aslam, Muhammad Ahsan Aslam, Muhammad Ali Fazal, Sunwan Nawaz, “Cyber Threat Detection for IOT Using Machine Learning”, Xi’an Dianzi Keji Daxue Xuebao/Journal of Xidian University, Vol 17, Issue 8, 2023, Page 671-685.
  • Hafeez Ur Rehman Siddiqui, Sunwan Nawaz, Muhammad Nauman Saeed, Adil Ali Saleem, Muhammad Amjad Raza, Ali Raza, Muhammad Ahsan Aslam, Sandra Dudley, “Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders”, Engineering Applications of Artificial Intelligence, Volume 127, Part A, January 2024.