Dr. Ahmad Din

Faculty Member

Dr. Ahmad Din

HoD (Artificial Intelligence & Data Science) & Professor

HEC Approved PhD Supervisor

Education

Postdoc (Computer Science), University of Georgia, 2019

PhD (Meccatronica / Artificial Intelligence), Politecnico di Torino, 2013

MIT (Computer Science), COMSATS Insitute of Information Technology, Abbottabad Campus, 2004

Summary

Dr. Ahmad Din is an Associate Professor at the Department of Artificial Intelligence and Data Science, FAST-NUCES, Islamabad. Previously, he worked as an Assistant Professor at the Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus. He has completed his post-doctorate as a Fulbright Scholar from the University of Georgia (UGA), USA. He has more than 18 years of experience in academics and research. His research interests include Artificial Intelligence, Artificial Swarms, Reinforcement Learning, Collective Intelligence, Robotics, Machine Learning, Evolutionary and Adaptive Systems, Social Internet of Things (SIoT), and Multiagent Systems / Multi-robot Systems.

Publications

Journal Papers

  1. Hussain, Umaira Nazar, Muhammad Attique Khan, Ikram Ullha Lali, Kashif Javed, Imran Ashraf, Junaid Tariq, Hashim Ali, and Ahmad Din., A Unified Design of ACO and Skewness based Brain Tumor Segmentation and Classification from MRI Scans., Journal of Control Engineering and Applied Informatics 22, no. 2 (2020): 43-55.
  2. Siddique Baig, Adnan Ahmad Tahir, Ahmad Din, Humaira Khan, Hypsometric properties of mountain landscape of Hunza River Basin of the Karakoram Himalaya, Journal of Mountain Science 15(9):1881-1891, 2018
  3. Mohammad Babar, Ahmad Din, Ahmad Khan, A Smart Computation Offloading for IoT Application in Edge Computing using Bacterial Foraging Optimization , Computers and Electrical Engineering, 102(2022), 108123
  4. Kashif Zia, Ahmad Din, Khurram Shahzad, Alois Ferscha, A Cognitive Agent-based Model for Multi-Robot Coverage at a City Scale, Complex Adaptive Systems Modeling, Vol 5(1), p: 1-13, 2017
  5. Ahmad Din, Muhammed Yousoof Ismail, Babar Shah, Mohammad Babar, Farman Ali, and Siddique Ullah Baig, A Deep Reinforcement Learning based Multi-agent Area Coverage Control for Smart Agriculture, Computers and Electrical Engineering, 101 (2022).
  6. Mohammad Babar, Muhammad Sohail Khan, Ahmad Din, Farman Ali, Usman Habib, Kyung Sup Kwak, Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing using Artificial Bee Colony Optimization, Complexity 2021 (1)
  7. Mulika Fatima, Zia-Ur Rehman, Ahmad Khan, Sajid Shah, Raja Wasim Ahmad, Ahmad Din, Attiqa Rehman,, Energy Optimization in a Smart Community Grid System Using Genetic Algorithm, International Journal of Communication Systems (IJCS), 2019
  8. Nuhman Ul Haq, Ahmad Khan, Zia ur Rehman, Ahmad Din, Ling Shao, Sajid Shah, A novel weight initialization with adaptive hyper-parameters for deep semantic segmentation, Multimedia Tools and Applications, 2021
  9. Ali, Shahzad, Ahmad Din, Zenib Khan and Mahmood Ul Hassan., Investigation on communication aspects of multiple swarm networked robotics., Turkish Journal of Electrical Engineering & Computer Sciences 27, no. 3 (2019): 2010-2020.
  10. Qummar, Sehrish, Fiaz Gul Khan, Sajid Shah, Ahmad Khan, Ahmad Din, and Jinfeng Gao, Deep Learning Techniques for Diabetic Retinopathy Detection., Current medical imaging (2020)
  11. Nuhman Ul Haq, Zia ur Rehman, Ahmad Khan, Ahmad Din, Sajid Shah, Fawad Qayyum, Impact of Data Smoothing on Semantic Segmentation, Neural Computing and Applications (2020): 1-10.
  12. Kashif Zia, Alois Ferscha, Ahmad Din, Khurram Shahzad, Awais Majeed, Impact of ICT-Mediated Collective Awareness on Urban Mobility, Complex Adaptive Systems Modeling, Vol 4(10) p: 1-23, 2016
  13. Khalid, Abbas, Bamidele Adebisi, Ahmed Din, Eraj Khan, Assad Abbas, and Bahram Honary, Deterministic Multipath Model for the Power-Line Channel., National Academy Science Letters (2020): 1-4

Conference Papers

  1. Ahmad Din, Basilio Bona, Joel Morrissette, Moazzam Hussain, Massimo Violante, Fawad Naseem, Embedded Low Power Controller for Autonomous Landing of Small UAVs using Neural Network , 10th International Conference on Frontiers of Information Technology (FIT), 2012.