Hsan Sandar Win
Higher Degree by Research Candidate
School of Electrical and Mechanical Engineering
Faculty of Sciences, Engineering and Technology
Hsan Sandar Win is a part-time Ph.D. candidate at the University of Adelaide whose research focuses on uncertainty-aware frameworks for enhancing situational awareness and advancing situational understanding in autonomous multi-agent systems operating under tactical edge conditions.
Her doctoral work explores probabilistic reasoning, adaptive decision-making, and knowledge fusion to enhance situational understanding and manage information reliability and environmental uncertainty at tactical edge.
Alongside her doctoral studies, she currently works as a Research Assistant on a project involving semantic knowledge representation through ontology and information assessment using probabilistic inference with incomplete data to support robots' information generation of their surroundings.
Through the development of scalable information fusion and uncertainty management methodologies, she aims to enable resilient autonomy, collaborative mission execution, and robust situational understanding in complex and evolving operational domains.
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Appointments
Date Position Institution name 2022 - ongoing Research Assistant (HEO 6) The University of Adelaide 2021 - 2022 Research Assistant (HEO 5) The University of Adelaide 2021 - 2021 Academic Tutor The University of Adelaide 2020 - 2020 Mentor The University of Adelaide -
Language Competencies
Language Competency Burmese Can read, write, speak, understand spoken and peer review English Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2024 The University of Adelaide Australia PhD Candidate 2019 - 2021 The University of Adelaide Australia M.E(Electronic Engineering) 2016 - 2017 Mandalay Technological University Myanmar Master of Engineering (Electronics) 2010 - 2015 University of Technology (Yatanarpon Cyber City) Myanmar Bachelor of Engineering (Electronics) -
Postgraduate Training
Date Title Institution Country 2020 - 2021 Intern The University of Adelaide Australia -
Research Interests
| Year | Course | Position |
| 2021 S2 | ELEC ENG 4107: Autonomous Systems | Tutor, Practical Demonstrator and Marker |
| 2024 S1 | ELEC ENG 3101 & 7082: Control | Practical Demonstrator |
| 2024 S2 | ELEC ENG 4107: Autonomous Systems | Tutor, Practical Demonstrator and Marker |
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Other Supervision Activities
Date Role Research Topic Location Program Supervision Type Student Load Student Name 2025 - ongoing Co-Supervisor Distributed Discovery: Scalable Multi-Robot Mapping & Exploration The University of Adelaide - Honours - Thuong Khai Vo, Arnav Vaid and Izak Tye Stentiford 2024 - 2024 Co-Supervisor Machine Learning and Multi-robot Autonomous Coordination for Search and Target Acquisition using Quadruped Robots The University of Adelaide - Honours - Khiya Barrett, Cho Ting Lee and Muhammad Suhaib Rehan 2024 - 2024 Co-Supervisor Machine Learning for Comprehending Dynamic Visual Scenes The University of Adelaide - Honours - Adam Rice and Daniel Webber 2023 - 2023 Co-Supervisor Team Vision - Creating a Visual Information Communication Network for a Team of Robots The University of Adelaide - Honours - Max Marriott and Avani Karandikar 2023 - 2023 Co-Supervisor Team Action - Completing Role-based Physical Manipulation Tasks in Robotics The University of Adelaide - Honours - Jack Lee and Jai McElroy 2022 - 2022 Co-Supervisor Reinforcement Learning for Environment Exploration in Distributed Systems The University of Adelaide - Honours - Jacob Drake and Emily Duhne 2022 - 2022 Co-Supervisor Collaborative Mapping and Localisation for Distributed Multi-Robot Systems The University of Adelaide - Honours - Joshua Cooke and Patrick Hickman
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Presentation
Date Topic Presented at Institution Country 2024 - 2024 Improved Mission Success Using DCMD (Dynamic Contextual Mission Data) CADR-RAS Showcase CADR-RAS, Defence & Security Institute Australia
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