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About me
About me
I hold a Bachelor of Science (BSc) and Master of Engineering (MEng) in Mechanical Engineering, where my coursework focused on estimation and control for deterministic systems and batteries. Professionally I'm passionate about using my software skills to tackle some of the hardest problems in the world, including grid integration, smart energy systems and energy storage optimisation. We have one Earth, and my purpose is to leave it a little better than I found it.
Personally, I'm a hiking, snowboarding, camping & general outdoors enthusiast⛰️🚴🏽♂️🏕️
Research
Research
I am interested in the applications of applied mathematics in decision making under uncertainty. My specific focus lies in stochastic optimisation, i.e., formulating and solving problems that require a constrained probabilistic approach. Traditionally, robust control has proven to be a useful tool for policy design in deterministic systems such as process control, however it has various pitfalls including excessive conservatism and sensitivity to uncertainty. In order to solve this, a stochastic optimal approach is needed. Many problems in science and engineering benefit from such a treatment, for example national energy grids with stochastic demand and supply, autonomous systems operating in uncertain environments, and financial decision-making under market volatility.
Experience
Experience
Akula Tech
Software Engineering Intern
Developed and maintained software tools for estimating battery charge in a proprietary BMS, and created reusable scripts to identify temperature-related issues, helping ensure reliable energy storage for satellites
Sep 2024 - Oct 2025
Melbourne Space Program
Control Software Co-Lead
Spearheaded the implementation of attitude estimation software on the CubeSat flight computer, and owned software and hardware validation tools for the reaction wheel controller
Sep 2023 - Sep 2024
The University of Melbourne
Software Engineer, Research Assistant
Built and deployed scalable battery state estimation tools, spanning data ingestion, algorithm development, and embedded implementation, to enable real-time insight into lithium-ion battery behaviour
Feb 2024 - Sep 2024
The University of Melbourne
Software Engineer, Research Assistant
Designed and implemented a nonlinear robust control strategies that enhanced system responsiveness and tracking behaviour, demonstrating clear performance gains over a conventional PID controller
Jul 2023 - Oct 2023
Education
Education
Master of Mechanical Engineering
The University of Melbourne
Completed 2024
Bachelor of Science
The University of Melbourne
Completed 2022
Email: tumisangtramotlhwa[at]gmail[dot]com | Linkedin: Tumisang Ramotlhwa | GitHub:
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