Contributing to a range of research activities with strong Artificial Intelligence (AI) and Robotics based content within the School of Mathematics, Computer Science and Engineering. Research themes generally cover AI, Robotics, Virtual Reality (VR), Network and Communication Systems, Unmanned HAPS/UAVs etc. My main research theme involves modelling and simulating multiple aerial platforms using Matlab and Python with the goal of developing autonomous capabilities. Algorithms and techniques from the domains of Machine Learning (specifically Reinforcement Learning) and Swarm Intelligence are explored for autonomous HAP/UAV coordination. Developing autonomous capabilities for coordinating multiple aerial vehicles/agents may ultimately improve the business case for deploying multiple platforms for various use cases. Central to the research is exploring ways of extending broadband connectivity to rural & remote locations; a key requirement for participation in the digital economy. Spoken severally at Commonwealth Telecommunications Organisation (CTO) conferences about HAPS and its potential to address rural broadband challenges.
Summary of Research Interests:
| Rural Broadband Connectivity | Swarm Intelligence | AI/Machine Learning Techniques | Reinforcement Learning | Autonomous Vehicles | Multi-HAPS/UAV Routing Problems | Solar UAV & Energy Management Algorithms | AI in Data Science