Professor M.S. Haruna

(Executive Vice Chairman, NASENI)

Materials in Artificial Intelligence Development

Prof. Mohammed Sani Haruna is currently the Executive Vice Chairman/CEO, National Agency for Science and Engineering Infrastructure (NASENI). He attended Plateau State Polytechnic, Barkin Ladi and Kaduna Polytechnic, Kaduna where he earned National Diploma and Higher National Diploma with Distinctions respectively. He earned his PGD from Federal University of Technology, Akure in 1998. He then proceeded to Bayero University, Kano where he obtained M. Eng. in Electrical Engineering in 2001 and Ph. D in Electrical Power Engineering in 2007. He also obtained Masters of Philosophy degree and Ph. D in Entrepreneurship from Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya. He is a registered/chartered Engineer with UK Engineering Council and Fellow of Nigerian Academy of Engineering, Nigerian Society of Engineers, IET and NATE.

Professor Haruna has diverse working experiences that cut across industry, academia and government. He has worked at NASCO Pack Ltd., Jos; Ikara Food Processing Co. Ltd, Ikara, Kaduna State; New Park Plc., Kaduna; Mainsys Technical Ltd., Kaduna; Central Support Engineering Ltd., Kaduna; Kaduna Polytechnic, Kaduna; and Power Equipment and Electrical Machinery Development Institute (PEEMADI), Okene, Kogi State. He has also served as a Visiting Lecturer to Bayero University, Kano and is presently a Visiting Professor to Nile University of Nigeria. He is a Board Member of Nigeria Nuclear Regulatory Authority, Abuja.

He has been an invited speaker at many national and international conferences with over twenty-five (25) journal publications and fourteen (14) conference proceedings. Among his publications is “The application of artificial intelligence in power system protection” which was a novel work in Nigeria. The major accomplishment in this work was the use of artificial intelligence to improve power losses and voltage drops at distant parts of Nigeria that are far away from generation sources. It demonstrated the integration of all forms of power generation including renewable energy and output from independent power producers into the national grid using computational methods.