About Us
About Kekana Lab
Who we are
Pioneering Predictive Science for Public Health and the Environment
Establishing a multidisciplinary hub for advancing disease and ecological modeling through AI, collaboration, and innovation.
The TUT/Kekana's Laboratory is an interdisciplinary research hub designed to harness mathematical modeling, statistical techniques, machine learning, and artificial intelligence (AI) to address complex global challenges related to public health, climate change, and sustainable development. This lab fosters collaboration among mathematicians, epidemiologists, climate scientists, and computer scientists to provide data-driven solutions to real-world problems.
aims
Our Lab Objectives
Building a Collaborative Research Platform
To build a collaborative platform that brings together researchers from mathematics, epidemiology, ecology, and computer science to address complex public health and environmental challenges.
Modeling the Spread of Infectious Diseases
Develop and analyze mathematical models for understanding the transmission dynamics of infectious diseases, including emerging and re-emerging pathogens/viruses.
Integrating Ecology into Disease Modeling
Incorporate ecological processes into disease modeling frameworks to investigate the interplay between environment, host populations, and pathogens.
Advancing Disease Modeling with AI and Machine Learning
To integrate AI and machine learning techniques with traditional mathematical models for enhanced simulation, prediction, and decision-support systems.
Securing Global Funding Through Innovative, Data-Driven Research
Attract national and international grants and funding by developing innovative, data-driven research proposals aligned with global health and environmental priorities.
Empowering the Next Generation of Modeling and Data Science Researchers
Support capacity-building and mentorship by training early-career researchers, PhD students, and postdoctoral fellows in cutting-edge modeling and computational tools.
let's work together