Ms Hsan Sandar Win
Higher Degree by Research Candidate
School of Electrical and Mechanical Engineering
College of Engineering and Information 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 Officer 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.
| Date | Position | Institution name |
|---|---|---|
| 2022 - ongoing | Research Officer (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 | Competency |
|---|---|
| Burmese | Can read, write, speak, understand spoken and peer review |
| English | Can read, write, speak, understand spoken and peer review |
| 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) |
| Date | Title | Institution | Country |
|---|---|---|---|
| 2020 - 2021 | Intern | The University of Adelaide | Australia |
| 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 |
| 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 |
| 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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