Dr. Ahmad Wedyan

Staff profile

Dr. Ahmad Wedyan

PhD in Computer Science



Teaching areas

Digital Technologies: Full Stack Web Development, Front End Web Development, P-TECH


Ahmad Wedyan is an experienced digital technologies lecturer with over 7+ years of experience. He received his PhD in Computer Science from the Auckland University of Technology in 2018. Ahmad is an ambitious person who always strives to achieve the highest standard possible. Adept in creating engaging curriculum and fostering student participation in both classroom and distance-learning environments.

Much of Ahmad's work has been on improving the understanding, design, and performance of computational algorithms and nature-inspired optimization algorithms. His current research interests include artificial intelligence, evolutionary computation, machine learning, data science, business informatics, and business intelligence.

What I love about MIT

I love MIT because of the diversity of people and cultures. MIT provides a suitable environment to empower our Māori and Pasifika students to grow in the emerging digital industries.


  • Wedyan A. F., Whalley J., and Narayanan A. (2018). “Solving the Traveling Salesman Problem using Hydrological Cycle Algorithm,” American Journal of Operations Research, vol. 8, No. 3, Article ID 1040612.
  • Wedyan A. F., Whalley J., and Narayanan A. (2017). “Hydrological Cycle Algorithm for Continuous Optimization Problems,” Journal of Optimisation, vol. 2017, Article ID 3828420, 25 pages. https://doi.org/10.1155/2017/3828420.
  • Wedyan, A.F.; Narayanan, A., "Solving capacitated vehicle routing problem using intelligent water drops algorithm," in Natural Computation (ICNC), 2014 10th International Conference on, pp.469-474, 19-21 Aug. 2014
  • Omary, A.; Wedyan, A.; Zghoul, A.; Banihani, A.; Alsmadi, I., "An interactive predictive system for weather forecasting," in Computer, Information and Telecommunication Systems (CITS), 2012 International Conference on, pp.1-4, 14-16 May 2012.

Research interests

I have designed and modelled a novel nature-inspired algorithm called Hydrological Cycle Algorithm. This algorithm has been used for solving optimisation problems. Specifically, the Vehicle Routing Problems. My current research interests are in problem solving and optimisation, metaheuristic algorithms, nature-inspired computing, artificial intelligence, machine learning, data mining, problem solving, business informatics, and business intelligence and analytics.

Award and grants

  • School of Computer and Mathematical Sciences PhD Fees Scholarship.

Memberships and affiliations

  • An Associate Editor of Global Journal of Engineering Sciences - GJES Journal.