Grants and Resource Mobilization

The University Grants and Resource Mobilisation Office has over the years, achieved the following:

  • Established an internal research fund that is competitively awarded to at least five members of the university every year. As a result, the number of research outputs has exponentially increased over the last couple of years
  • Established an internal innovation fund which is competitively awarded to at least three members of the university every year. This has over the years facilitated an upsurge in the number of innovations under incubation, evaluation, protection, and patenting.
  • Set up an internal Outreach & Linkages fund meant to build and facilitate critical networks between the Univesity and its strategic partners
  • Attracted over 35 million shillings from external funding institutions through different partners including Google, Microsoft, National Research Fund (NRF), Safaricom, SEIZZ Group – South Africa, and KENET. This has contributed to the achievement of the big four agenda, vision 2030 & Sustainable Development Goals (SDGs).
  • Established the Office of Grants & Resource Mobilization to ensure there is sourcing and dissemination of grant opportunities, capacity building, compliance with RFP guidelines, and adherence to the grant issuance requirements.

More information regarding “Grants & Resource Mobilization” can be accessed at on the university website.

Ongoing Research Projects


Early detection of pre-eclampsia using ambulatory blood pressure monitoring using wearable devices and Long Short-Term Memory Networks (LSTM-NN) on the edge. This study which is in its final stages has developed a mobile application integrated with a smartwatch for contentious blood pressure monitoring among the general population. A predictive model using the Gradient Boosting Regression model utilizing blood pressure readings and activity data has also been developed. A publication from this study can be accessed on

Investigators: Dr. Moses M Thiga (School of Science Engineering and Technology) and Dr. Pamela Kimeto (School of Medicine and Health Sciences)


Early Prediction of Pre-eclampsia Using Long Short Term Memory Networks (LSTM-NN) on the Edge and Effectiveness of Low Dose Aspirin and Calcium as prophylaxis. This project is currently recruiting participants, monitoring their blood pressure using a smartwatch and connected mobile application. Mothers who show signs of potential Pre-eclampsia will then be given Low Dose Aspirin and Calcium as prophylaxis.


Investigators: Dr Pamela Kimeto (School of Medicine and Health Sciences) and Dr Moses M Thiga (School of Science Engineering and Technology).


eHealth for Universal Maternal Health Coverage in Underserved Counties and Vulnerable Population Groups in Kenya.

This study is seeking to address the specific challenge of information management (collection, storage, analysis and dissemination) in the area of maternal health as a means to the provision of better services to mothers and their children. The study is currently working on digitizing the ANC process and integrating the roles of Community health Volunteers in the the care process for expectant mothers. More information on the project can be found on


Collaborators - Strathmore University, Intellisoft Consulting, Emed Solutions and Technical University of Mombasa


The HealthIT project supports the implementation of various Information Systems Projects by the Ministry of Health. These systems include the KenyaEMR+, the Child Protection Information System (CPIMS), the Data Analytics Platform (DAP), the Kenya Health Information System (KHIS), the MoH Service Desk, and the MoH Virtual Academy and the Kenya Master Health Facilities List (KMHFL). Kabarak University joined the project in February 2021, as a County Proximate University (CPU) to work with Nakuru, Baringo, Laikipia, and Elgeyo Marakwet Counties.

The Kabarak University team is working with the Kenya EMR+ in providing network setup assessments, network installation and configuration, system deployment, user training, and system evaluation. They are also building capacity for Health Information Systems development among students. The team is also tasked with securing internships and attachment opportunities at health facilities.


Development of a framework for assessing and addressing ethical issues in Healthcare Machine Learning projects. The project is funded by the Notre Dame-IBM Tech Ethics Lab.

Collaborators - National Commission for Science Technology and Innovation


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