Dr. Hasan Mujtaba

Faculty Member

Dr. Hasan Mujtaba

Professor & HoS (Computing)

HEC Approved PhD Supervisor
(+9251 111 128 128) 3100
hasan.mujtaba@nu.edu.pk

Education

Ph.D (Computer Science), National University of Computer & Emerging Sciences, 2010

M.S (Computer Science), National University of Computer & Emerging Sciences, 2005

Summary

Dr. Hasan Mujtaba joined NUCES in 2010 as a faculty member. He did his Post Doctorate from University of Nottingham (2013) and was associated ASAP Research Group. His research interests are in the areas of Artificial Intelligence, Computational Intelligence, Machine Learning, Data Mining & Knowledge Discovery, Evolutionary Gaming, Machine Vision & Robotics. He is actively involved in research in these areas and has several publications to his name.

Publications

Journal Papers

  1. “A Novel Function Optimization Approach using Opposition Based Genetic Algorithm with Gene Excitation”, in International Journal of Innovative Computing, Information and Control, Volume 7, Number 7(B), July 2011, PP 4263 [ISSN 1349-4198].
  2. A Machine Learning Approach”. Sustainable Computing: Informatics and Systems. Volume 22. pp 230-243 Elsevier. 2019
  3. “Self-Motivated & Task-Oriented,Multi-Dimensional Learning in a Dynamic and Uncertain Environment without Human intervention”, in International Journal of Innovative Computing, Information and Control, Volume 7, Number 4, April 2011, PP 1603. [ISSN 1349-4198]
  4. “Deep- Detect: Detection of Distributed Denial of Service Attacks Using Deep Learning”. The Computer Journal. 2019
  5. Evolutionary Search for Entertainment in Computer Games, Intelligent Automation and Soft Computing, Vol. 18, No. 1, pp. 33-47, January 2012. [ISSN: 1079-8587, Thomson Reuters JCR 2012]
  6. “Measuring Entertainment And Automatic Generation Of Entertaining Games," International Journal of Information Technology, Communications and Convergence. Vol. 1, No. 1, pp. 92–107, pp.92-107, January 2010
  7. Detecting change and dealing with Uncertainty in Imperfect Evolutionary Environments , Information Sciences.[ISSN: 0020-0255, Elsevier]
  8. “Automated Game Learning”, in ICIC Express Letters, Part B: Applications, Volume 1, Issue 2, December 2010, PP 145
  9. “Fairness in Real- Time Energy Pricing for Smart Grid Using Unsupervised Learning”. The Computer Journal. Volume 62, Issue 3, pp. 414-429, 2018