DEPARTMENT OF statistics
Prof. Suleman Nasiru
Prof. Suleman Nasiru is an Associate Professor of statistics and the current Head of the Department of Statistics. Before his appointment as the Head of Department in October 2020, he was the Examinations Officer of the Faculty of Mathematical Sciences.
Prof. Nasiru earned his joint doctoral degree in Mathematics (Statistics Option) in 2018 from the Pan African University, Institute of Basic Sciences, Technology and Innovation (PAUSTI) and Jomo Kenyatta University of Agricultural and Technology (JKUAT), Kenya.
He obtained his Master of Science in Applied Statistics and Bachelor of Science in Mathematical Science (Statistics Option) from the University for Development Studies (UDS) in 2013 and 2009 respectively.
Prof. Nasiru is a recipient of several awards including: African Union Scholarship (2016) to pursue doctoral degree at PAUSTI, research grant from JICA Kenya for commencement of doctoral research (2017), best graduating student of Doctor of Philosophy in Mathematics (2018) of PAUSTI, best graduating student of the Faculty of Applied Sciences of UDS (2009) and overall best graduating student of UDS (2009).
He is a seasoned researcher with over fifty (50) publications in peer review journals and conference proceedings, to his credit. Prof. Nasiru has supervised and successfully graduated a number of postgraduate students from the Department.
In addition to his responsibilities, he also serves as an external examiner to other institutions and reviewer to many reputable statistical journals. As part of his extension services to other institutions in the country, he was a member of the team contracted by ESOKO Ghana Limited in 2020 to carry out spot check analysis on the Ghana National Household Registry (GNHR) data in Northern Region of Ghana.
Prof. Nasiru is a volunteer of Statistics without Borders (SWB) and a member of the Ghana Statistical Association (GSA). His current research areas include: Probability distribution functions, Advanced Time Series, Quality Control, Extreme Value Analysis and Machine Learning.