Doctoral Fellow, Director HP Lab
Mr. Maingi has been lecturing, mentoring and doing research at Strathmore University for over 2 decades, being among the founding faculty of Strathmore University.
BBIT
He holds a Bachelor of Science Degree from Egerton University, Njoro, Kenya; A Master of Science Degree in Information Systems from the University of Nairobi; and is a Doctoral Fellow at Strathmore University’s School of Post-Graduate Studies where he is completing his Ph. D. in Informatics (Epidemiology and Disease Modeling).
Mr. Maingi is also the founding Director of the HP-Strathmore Research Laboratory (popularly referred to as the HP Lab), a novelty lab that focuses on catalyzing the development of various local and home-grown solutions for various industries.
HP Lab brings together faculty, students and the industry in a catalytic and innovative environment in order to coin dynamic and incremental solutions to our various challenges.
Through HP Lab, Strathmore University has been able to bring on board working and collaborative partners such as the Hewlett Packard Inc. (HP Inc.), The United States Agency for International Development (USAID), The Clinton Health Access Initiative (CHAI) and the Government of Kenya among others.
The lab continues collaboration and innovative research initiatives in collaoration with various entities, notably from the Government of Kenya such as the Ministry of Health through its various departments and divisions with remarkable success.
HP Lab continues its transofrmative and engaging agenda to keep bridging the academia-industry gap as we catalyse both faculty and students to undertake collaborative activities to keep the industry ticking.
Disease Outbreak Classifier and Prioritization Algorithm using the C4.5 Machine Learning Decision Trees – International Journal of Innovative Research and Knowledge (IJIRK) Volume 4 Issue 4 (available from http://www.ijirk.com/issue_image/IJIRK-4.04.04.pdf)
Comparative Analysis of the C4.5 and ID3 Decision Tree Algorithms for Disease Symptom Classification and Diagnosis. – International Research Journal of Advanced Engineering and Science (IRJAES), Volume 4, Issues 2. (available from http://www.irjaes.com/pdf/V4N2Y19-IRJAES/IRJAES-V4N2P489Y19.pdf)
Inter-County Comparative Analysis of ID3 Decision Tree Algorithms for Disease Symptom Burden Classification and Diagnosis – International Journal of Science and Research (IJSR) Volume 8 Issue 5 (available from (available from https://www.ijsr.net/archive/v8i5/ART20197527.pdf)