Lecturer,
Director, Research & Post- Graduate Studies
Dr. Khakata Esther is the Director – Research and Postgraduate Studies and full-time Lecturer at the School of Computing and Engineering Sciences at Strathmore University. She taught the postgraduate students at the University of Cincinnati – School of Information Technology, Ohio, USA as a Visiting Faculty in the 2023 Academic Year.
She has been lecturing over the last decade, a passion that she holds dearly! She holds a Bachelor of Science Degree (Computer Science) from Moi University and a Master of Science Degree (Information Technology) from Strathmore University. In December 2020, she earned her Doctor of Philosophy (Information Technology) from Strathmore University and graduated as the 1st Woman PhD (IT) from the School of Computing and Engineering Sciences.
Prior to venturing into Academia, Esther worked as an IT Labs and Systems Admin in the IT Department in charge of configuration of students’ servers, as a Faculty Administrator in charge of Undergraduate Programs at the School of Computing and Engineering Sciences and as a team member in Dial-up Deployment Project in an ISP. She has worked as a Program Administrator, Graduate Assistant, as an Assistant Lecturer and as a Program Lead in charge of the Informatics and Computer Science Undergraduate program.
Currently, she is teaching both Undergraduate and Postgraduate students in the areas of Software Engineering, System and Software Modeling, Human Computer Interactions, UI/UX Design, Predictive Modeling, Project Management in IT, Data Science, IT Research Methods, Mobile Applications Development and Algorithm Design. She also forms part of the Supervision and Examination panels for the Finalist Undergraduate and Postgraduate concepts, projects, proposals, theses and dissertations (Masters and PhD levels). In addition to her duties, she has also been assigned the role of Mentoring female students and staff in the School of Computing and Engineering Sciences and mentoring women staff in the university, to ease their onboarding experience.
During her free time, Esther enjoys mentoring her undergraduate students and encouraging girls and women to venture more into the field of computing. She is a mentor in the Women in Cyber Security (WiC) at Strathmore University, a member of the African Women in Science and Engineering (AWSE), a member of Organization for Women in Science for the Developing World (OWSD) and the Institute of Electrical and Electronics Engineers (IEEE).
She has published in the International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Journal of Systems Integration (JSI) and the IEEE Xplore. Esther has attended and presented in a number of conferences and as a Program Lead, she organized Academic Trips for the finalist’s students in France, Germany and Switzerland.
BSc. (Comp Sci)
MSc. (IT)
PhD (IT)
Predictive Algorithms (ML)
Data Science
UI/UX Design
Systems Modeling
Software Engineering
1. Khakata, E., Omwenga, V. & Msanjila, S. (2015). Internet Technology Utilization in Learning. Semantic Scholar. Corpus ID: 114253993. Available on: https://www.semanticscholar.org/paper/Internet-technology-utilization-in-learning-Nyokabi- Samuel/a6e94fddac5329945aee355435e3cb71d3868a6c
2. Khakata, E., Omwenga, V. & Msanjila, S. (2018). Predicting Student’s Performance using Data on Internet Technology Usage Behavioural Patterns. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Vol. 3(1) pp. 2456- 3307. Available on: http://ijsrcseit.com/CSEIT1831339.
3. Khakata, E., Omwenga, V. & Msanjila, S. (2019). A Data Mining Approach to Student Performance Prediction Within Internet-Worked Environments. Proceedings of the 2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), Rome, Italy, pp. 1-8. Available on https://ieeexplore.ieee.org/document/9069689.
4. Khakata, E., Omwenga, V., Msanjila, S. (2020). Prediction of Student Learning Styles using Data Mining Techniques. Journal of Advances in Computer Engineering and Technology, 6(2), 107-118. Available on: http://jacet.srbiau.ac.ir/article_15686_762fee5627cefb1b7110ce717e9a5b22.pdf
5. Khakata, E. N., Msanjila, S. S., & Omwenga, V. O. (2020). The Prediction of Internet Technology Utilization within Learning Environments. International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Vol.6 (3), pp. 216-222. Available on: http://ijsrcseit.com/CSEIT206341