Dr. Muhammad Mateen Yaqoob

Faculty Member

Dr. Muhammad Mateen Yaqoob

Assistant Professor

(+9251 111 128 128) 3508
mateen.yaqoob@isb.nu.edu.pk

Education

PhD (CS), HITEC University Taxila, 2024

MS (ECE), COMSATS University Islamabad, 2013

BSc (TE), Foundation University Islamabad, 2011

Summary

Dr. Muhammad Mateen Yaqoob joined the National University of Computer and Emerging Sciences (NUCES) in 2024. He is an experienced academician and researcher, currently serving as an Assistant Professor in the Department of Artificial Intelligence and Data Science. He has teaching experience of more than 11 years at both undergraduate and graduate levels. He has published more than multiple research articles in various international journals and conferences. His research focuses on Cloud Computing, Federated Learning, Model Optimization, Data Heterogeneity, and Big Data Analytics. He is also serving as a reviewer for multiple impactful international journals and conferences. His work focuses on developing innovative solutions to real-world problems, and he is committed to mentoring the next generation of AI and Data Science professionals.

Publications

Journal Papers

  1. Muhammad Amir Khan, Abdul Khader Jilani Saudagar, Muhammad Mateen Yaqoob, Muhammad Nazir, Abdullah Yousafzai, Sardar Khaliq uz Zaman, Yazeed Masaud Alkhrijah, and Tehseen Mazhar, Federated learning for heart disease detection and classification in edge enabled IoMT-based healthcare: taxonomy, challenges, and opportunities, Computing, vol. 107 no 11, pp. 219, 2025
  2. Muhammad Amir Khan, Tehseen Mazhar, Muhammad Mateen Yaqoob, Muhammad Badruddin Khan, Abdul Khader Jilani Saudagar, Yazeed Yasin Ghadi, Umar Farooq Khattak, and Mohammad Shahid, Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN), Scientific Reports, vol. 14 no 1, pp. 26241, 2024
  3. Muhammad Amir Khan, Musleh Alsulami, Muhammad Mateen Yaqoob, Deafallah Alsadie, Abdul Khader Jilani Saudagar, Mohammed AlKhathami, and Umar Farooq Khattak, Asynchronous federated learning for improved cardiovascular disease prediction using artificial intelligence, Diagnostics, vol. 13 no 14 pp. 2340, 2023
  4. Muhammad Mateen Yaqoob, Musleh Alsulami, Muhammad Amir Khan, Deafallah Alsadie, Abdul Khader Jilani Saudagar, Mohammed AlKhathami, and Umar Farooq Khattak, Symmetry in privacy-based healthcare: a review of skin cancer detection and classification using federated learning, Symmetry, vol. 15 no 7, pp. 1369, 2023
  5. Qurat ul Ain, Muhammad Amir Khan, Muhammad Mateen Yaqoob, Umar Farooq Khattak, Zohaib Sajid, Muhammad Ijaz Khan, and Amal Al-Rasheed, Privacy-aware collaborative learning for skin cancer prediction, Diagnostics, vol. 13 no 13, pp. 2264, 2023
  6. Muhammad Danish Ali, Adnan Saleem, Hubaib Elahi, Muhammad Amir Khan, Muhammad Ijaz Khan, Muhammad Mateen Yaqoob, Umar Farooq Khattak, and Amal Al-Rasheed, Breast cancer classification through meta-learning ensemble technique using convolution neural networks, Diagnostics, vol. 13 no 13, pp. 2242, 2023
  7. Muhammad Mateen Yaqoob, Musleh Alsulami, Muhammad Amir Khan, Deafallah Alsadie, Abdul Khader Jilani Saudagar, and Mohammed AlKhathami, Federated machine learning for skin lesion diagnosis: an asynchronous and weighted approach, Diagnostics, vol. 13 no 11, pp. 1964, 2023
  8. Muhammad Mateen Yaqoob, Muhammad Nazir, Muhammad Amir Khan, Sajida Qureshi, and Amal Al-Rasheed, Hybrid classifier-based federated learning in health service providers for cardiovascular disease prediction, Applied Sciences, vol. 13 no 3, pp. 1911, 2023
  9. Muhammad Mateen Yaqoob, Muhammad Nazir, Abdullah Yousafzai, Muhammad Amir Khan, Asad Ali Shaikh, Abeer D Algarni, and Hela Elmannai, Modified artificial bee colony based feature optimized federated learning for heart disease diagnosis in healthcare, Applied Sciences, vol. 12 no 23, pp. 12080, 2022
  10. Muhammad Mateen Yaqoob, Waqar Khurshid, Leo Liu, Syed Zulqarnain Arif, Imran Ali Khan, Osman Khalid, and Raheel Nawaz, Adaptive Multi-Cost Routing Protocol to Enhance Lifetime for Wireless Body Area Network, Computers, Materials and Continua, vol. 72 no 1, pp. 1089-1103, 2022
  11. Mateen Yaqoob and Mustafa Shakir, Analysis of Bandwidth Efficiency in IEEE 802.11 and 802.16 Interworking Networks, International Journal of Wireless Networks and Broadband Technologies, vol. 7 no 1, pp. 25-38, 2018
  12. Syed Zulqarnain Arif, Muhammad Mateen Yaqoob, Atif Rehman, and Fuzel Jamil, Word Sense Disambiguation for Urdu Text by Machine Learning, International Journal of Computer Science and Information Security (IJCSIS), vol. 14 no 5, pp. 738-757, 2016
  13. Komal Kamran, Saira Afzal, Mateen Yaqoob, and Muhammad Sharif, A Comparative Survey on Vehicular Ad-hoc Network (VANET) Routing Protocol using Heuristic and Optimistic Techniques, Research Journal of Information Technology, vol. 6 no 2, pp. 14-24, 2015
  14. Nadeem Javaid, Mateen Yaqoob, MY Khan, Mahmood Ashraf Khan, Akmal Javaid, and Zahoor Ali Khan, Analyzing delay in wireless multi-hop heterogeneous body area networks, Research Journal of Applied Sciences, Engineering, and Technology, 2013.
  15. M Mateen Yaqoob, I Israr, M Mustafa, A Rehman, Examination of IEEE 802.15. 4 ZigBee multi-hop transmission in wireless, International Journal of Information Technology and Electrical Engineering, vol 2, 2013
  16. A Rehman, M Mustafa, I Israr, and M Yaqoob, Survey of wearable sensors with comparative study of noise reduction ecg filters, International Journal of Computing and Network Technology, vol 1, pp. 61-81, 2013

Conference Papers

  1. I Israr, M Mateen Yaqoob, Nadeem Javaid, Umar Qasim, and Zahoor Ali Khan, Simulation analysis of medium access techniques, 2012 IEEE Seventh International Conference on Broadband, Wireless Computing, Communication and Applications, pp. 602-607, 2012
  2. M Mateen Yaqoob, I Israr, Nadeem Javaid, Mahmood Ashraf Khan, Umar Qasim, Zahoor Ali Khan, Transmission delay of multi-hop heterogeneous networks for medical applications, 2012 IEEE Seventh International Conference on Broadband, Wireless Computing, Communication and Applications, pp. 428-433, 2012