Jack Turihohabwe

Jack Turihohabwe currently serves as Lecturer in the department of computer science in the Faculty of Science Technology and Innovation. He holds PHD in Computing (Computer Science-Artificial Intelligence) from Mbarara University of Science and Technology, Master of Science in Information Systems from Mbarara University of Science and Technology, A post graduate diploma in education (Mathematics and Information Communication Technology) as his teaching subjects from Uganda Christian University and a Bachelor of Science in Computer Science from Mbarara University. He also holds certifications in eLearning, that is, Online Instructional Design Certificate, ADDIE for Instructional Design Certificate and Instructional Design Models Certificate from International Society for Educational Technology. He is a dedicated, self-driven, innovative technologist. A team player, a problem solver with the use of technology. A good programmer and system analyst. He has great interest in working with education institutions and humanitarian organizations with the major aim of sharing knowledge and creating impact in the society.

PHD IN COMPUTING (COMPUTER SCIENCE-ARTIFICIAL INTELLIGENCE) FROM MBARARA UNIVERSITY OF SCIENCE AND TECHNOLOGY.

MASTER OF SCIENCE IN INFORMATION SYSTEMS (BUSINESS INTELLIGENCE) FROM MBARARA UNIVERSITY OF SCIENCE AND TECHNOLOGY.

POSTGRADUATE DIPLOMA IN EDUCATION (MATHEMATICS/INFORMATION COMMUNICATION TECHNOLOGY) FROM UGANDA CHRISTAIN UNIVERSITY.

BACHELOR OF SCIENCE IN COMPUTER SCIENCE FROM MBARARA UNIVERSITY OF SCIENCE AND TECHNOLOGY.

 

  1. Turihohabwe, J. (2025). A Determination of Sample Size for Plant Leaves in Deep Learning Models for Predicting Late Blight in Irish Potatoes: An experimentation methodology in Kigezi–Uganda. The Indonesian Journal of Computer Science14(2).
  2. Turihohabwe, J., Richard, S., & William, W. (2025). Exploring Strategies for Optimizing Mobilenetv2 Performance in Classification Tasks Through Transfer Learning and Hyperparameter Tuning with A Local Dataset from Kigezi, Uganda. The Indonesian Journal of Computer Science14(1).
  3. Turihohabwe, Jack and Richard, Ssembatya and William, Wasswa,2025, The Application of Explainable AI in a Deep Learning Model for Early Prediction and Diagnosis of Late Blight Disease in Irish Potatoes: A Dataset from Kigezi Region-Uganda
  4. Babirye, L. N., Jjagwe, G., & Turihohabwe, J. (2024). Suitability of eLearning Adoption Frameworks and Models for Higher Education Institutions in Uganda. In Rethinking ICT adoption theories in the developing world: Information and Communication Technologies (pp. 249-268). Cham: Springer Nature Switzerland.
   

GRANTS ACHIEVED:

  1. Creation of a Centre of Competence in Digital Education (C-CoDE) Project within the framework of the Excellence in Africa initiative, Kabale University Benon Basheka(Project Leader), Assc. Prof. Businge Phelix Mbabazi (Academic Coordinator), Jones Muragira (Technical Coordinator), Tumushiime Robert(Systems Eng.), Nkamwesiga Nicholas(Digital Edu Expert), Mutebi Micheal (E-Learning Officer), Kyomugisha Patricia (Digital Edu Expert), Katende Ronald (Digital Edu Expert), Turihohabwe Jack (Pedagogy & Instructional Design), Sandra Atukwatse (Digital Learning & Commn), Collins Nuwagaba (Studio Production & Multimedia)June, 2021 → June, 2023)(40,000 SWISS FRANCS).(130,890 US DOLLAS) (500,000,000 Uganda shilling).
  2. Late Blight Disease Predictor Innovation Jack Turihohabwe Principal Investigator (11,000,000 Uganda shilling) (2879 USD)
  3. Nutrition Digital Assistant Innovation Bukenya Moses (Principal Investigator) Jack Turihohabwe Co-Principal Investigator. (19,000,000) (5000 USD)
  4. Development of a Robust Soil Fertility Map and a User Friendly IoT Mobile App Based on Indigenous and Scientific Knowledge Dr. Cosmos Wacal (Principal Investigator) Jack Turihohabwe  Co-Principal Investigator. (41,200,000) (11,075 USD).

PROJECT DONE

Participated in developing the Mbarara University Website: First June 2011 to thirtieth August 2011 during industrial training.

Participated in the development of the Mbarara University Research Database: First June 2012 to thirtieth August during industrial training.

Participated in developing Birth Death Rate Executive System as the final year research project to lead to a partial fulfillment of an undergraduate award of a Bachelor’s Degree in Computer Science.

Participated in developing an electronic student report card generating system for Kigezi High School

Participated in developing and an eLearning Management System for Kigezi High School and runs on elearning.kigezihigh.sc.ug.

Developed a deep learning powered model mini-Irish potato pathology Laboratory

ON GOING PROJECTS BEING DONE

Developing a nutrition digital assistant using Artificial Intelligence.

Developing a soil nutrition detection application