Prof.Dr. Wali Khan Mashwani
Professor of Mathematics
Dean, Faculty of Physical and Numerical Sciences,
Director Institute of Numerical Sciences
Kohat University of Science & Technology (KUST),
Kohat, 26000, Khyber Pakhtun Khwa (KPK),Pakistan.
Skype Name: live:.cid.cd1ba906de1be40a
https://orcid.org/0000-0002-5081-741X
E-mail: mashwanigr8@gmail.com
Cell #: +923469335809 & 03329373607.
Office #: +9292252914648
Home #: +92915824428.
Fax #: +92922554556.
WhatsApp: +923329373607
About Me:
I was born in a small village Alamgunj of district Mardan, KPK, Pakistan. I received my earlier education in the same district. Later I did my master's in Mathematics from the University of Peshawar in the years 1995-1996. I started my carrier by teaching at colleges in Mardan for seven years. Then I moved to Kohat in 2003 and joined Kohat University of Science and Technology as Lecturer in Mathematics. I had an opportunity to move to the UK and did research in the area of Multi-objective optimizations using Evolutionary algorithms. I received my Ph.D. from the University of Essex, the UK in 2008-2011. I returned to Pakistan in 2012 and joined Kohat University of Science and Technology (KUST) as Assistant Professor in Mathematics.
My Research in a Nutshell:
My main interest lies in the development of a faster and more efficient multi-objective evolutionary algorithm (MOEA) for solving multi-objective optimization problems. The goal of MOEA is to find the Pareto optimal solutions using the concepts of Pareto optimality. Hybrid MOEAs are exhibiting substantially improved performance than standalone MOEAs on different test suite problems and real-world problems. MOEA Based on Decomposition (MOEA/D) is a generic algorithm framework. It decomposes MOPs at hand into a number of different single objective optimization and then uses an evolutionary algorithm (EA) to optimize these sub-problems simultaneously.
I focus particular attention on developing Hybrid MOEA/D by using different techniques in its framework in an adaptive manner. Algorithms of such types are currently under investigation. I have worked under the supervision of Professor Qingfu Zhang, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, UK. My subsidiary research interests include Evolutionary Computation, Single and Multi-objective Evolutionary Optimization, MOEA/D, Neural networks, Game Theory, Numerical Analysis, and Mathematical Programming.I have published more than 100 papers in SCI and ESCI, Scopus Journals, and different peer review conference proceedings and book chapters.