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. 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. Hypsometric properties of mountain landscape of Hunza River Basin of the Karakoram Himalaya, Journal of Mountain Science 15(9):1881-1891, 2018
  3. A Smart Computation Offloading for IoT Application in Edge Computing using Bacterial Foraging Optimization , Computers and Electrical Engineering, 102(2022), 108123
  4. 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. A Deep Reinforcement Learning based Multi-agent Area Coverage Control for Smart Agriculture, Computers and Electrical Engineering, 101 (2022).
  6. Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing using Artificial Bee Colony Optimization, Complexity 2021 (1)
  7. Energy Optimization in a Smart Community Grid System Using Genetic Algorithm, International Journal of Communication Systems (IJCS), 2019
  8. A novel weight initialization with adaptive hyper-parameters for deep semantic segmentation, Multimedia Tools and Applications, 2021
  9. Investigation on communication aspects of multiple swarm networked robotics., Turkish Journal of Electrical Engineering & Computer Sciences 27, no. 3 (2019): 2010-2020.
  10. Deep Learning Techniques for Diabetic Retinopathy Detection., Current medical imaging (2020)
  11. Impact of Data Smoothing on Semantic Segmentation, Neural Computing and Applications (2020): 1-10.
  12. Impact of ICT-Mediated Collective Awareness on Urban Mobility, Complex Adaptive Systems Modeling, Vol 4(10) p: 1-23, 2016
  13. Deterministic Multipath Model for the Power-Line Channel., National Academy Science Letters (2020): 1-4

Conference Papers

  1. Embedded Low Power Controller for Autonomous Landing of Small UAVs using Neural Network , 10th International Conference on Frontiers of Information Technology (FIT), 2012.