Skip to menu Skip to content Skip to footer

Find an expert

1 - 3 of 3 results

Associate Professor Jen Jen Chung

Associate Professor in Mechatronics
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
Media expert

Jen Jen Chung is an Associate Professor in Mechatronics within the School of Electrical Engineering and Computer Science at The University of Queensland. Her current research interests include perception, planning and learning for robotic mobile manipulation, algorithms for robot navigation through human crowds, informative path planning and adaptive sampling. Prior to working at UQ, Jen Jen was a Senior Researcher in the Autonomous Systems Lab (ASL) at ETH Zürich from 2018-2022 and was a Postdoctoral Scholar at Oregon State University researching multiagent learning methods from 2014-2017. She completed her Ph.D. on information-based exploration-exploitation strategies for autonomous soaring platforms at the Australian Centre for Field Robotics in the University of Sydney. She received her Ph.D. (2014) and B.E. (2010) from the University of Sydney.

Jen Jen Chung
Jen Jen Chung

Dr Thien-Minh Nguyen

Lecturer
School of Mechanical and Mining Engineering
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
Media expert
  • Dr Nguyen is a Lecturer in Robotics at the School of Mechanical and Mining Engineering, The University of Queensland. His research focuses on advancing autonomous robot capabilities in complex, large-scale environments through 1) principled and scalable fusion of complementary sensing modalities with distilled prior knowledge from learning processes for localisation & mapping, and 2) cooperative strategies for multi-robot systems. These research directions address challenging scenarios such as inspection, exploration, and manipulation, where robust localisation & mapping form a solid foundation upon which collaborative schemes can unlock new levels of efficiency and scalability.
  • Dr Nguyen was previously a Research Assistant Professor at the Centre for Advanced Robotics Technology Innovation (CARTIN), Nanyang Technological University (NTU), following the Wallenberg–NTU Presidential Postdoctoral Fellowship, where he led collaborative research efforts between NTU and KTH Royal Institute of Technology. He received his PhD from the School of EEE, NTU, with the best thesis (Doctoral Innovation Award) in 2020. He graduated with a Bachelor of Engineering (Honours) from Vietnam National University – Ho Chi Minh City University of Technology in 2014. He is an active member of IEEE Robotics and Automation Society (RAS), and is currently an Associate Editor of IEEE Robotics and Automation Letters (RA-L) in the area of Localisation & Mapping.
Thien-Minh Nguyen
Thien-Minh Nguyen

Dr T. Thang Vo-Doan

Affiliate of Future Autonomous Systems and Technologies
Future Autonomous Systems and Technologies
Faculty of Engineering, Architecture and Information Technology
Lecturer
School of Mechanical and Mining Engineering
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision

Dr T. Thang Vo-Doan is a Lecturer of the School of Mechanical and Mining Engineering at the University of Queensland. He was a postdoctoral researcher at the Institute of Biology I, University of Freiburg, Germany (2019-2023). He was also a Research Fellow at Nanyang Technological University (NTU), Singapore (2016-2018). He was awarded his PhD in Mechanical Engineering from the School of Mechanical & Aerospace Engineering, NTU in 2016. He received his M.Eng. degree in Manufacturing Engineering and B.Eng. degree in Mechanical Engineering from Ho Chi Minh City University of Technology, Vietnam in 2010 and 2008 respectively. He was awarded the prestigious Human Frontier Science Program Cross-disciplinary Fellowship (2019-2022).

He directs the UQ Biorobotics lab after joining in the University of Queensland. Current research activities of the lab focus on insect-machine hybrid robots, bio-inspired robotics, insect structures and functions, biomechanics, fast lock-on tracking, and brain imaging in untethered insects.

T. Thang Vo-Doan
T. Thang Vo-Doan