Postdoctoral Researcher
School of Information Technology - Halmstad University, Sweden
Email: thu.ngo@hh.se | ms.thienthu.ngo@gmail.com
Google Scholar | LinkedIn | Orcid | Github
News:
✅ Grant accepted: ICRA 2024 Travel Grant
✅ Paper Accepted:
LightSOD (Computer Vision and Image Understanding - Q1 SCIE IF: 3.5)
The journey to cloud as a continuum: Opportunities, challenges, and research directions (ICTExpress - Q1 IF: 4.2)
✅ Paper Submitted:
Snowy Scenes: A Multimodal Dataset Toward Snow-tonomous Vehicles
BIOGRAPHY
Thien-Thu Ngo received the B.S. degree in Management Information Systems from Vietnam National University, Ho Chi Minh City, in 2010, and Ph.D. degree with the Department of Computer Science and Engineering, at Kyung Hee University, South Korea in 2024. Currently, she is working as a Postdoctoral Researcher at Halmstad University, Sweden. Her research interests include image processing, computer vision, and deep learning.
ON_GOING PROJECTS
ROADVIEW will deliver more powerful and reliable in-vehicle perception systems, with improved resilience and accuracy under harsh weather conditions.
Improved sensor and noise models
Using noise filtering to improve detection of objects and vulnerable road users
Enhanced sensing by using additional sensors, such as thermal camera and imaging RADAR
Using adaptive sensor fusion and collaborative infrastructure-based perception for improving object and drivable area (free space) detection
Improved localisation and use of HD map technology
Link: roadview-project.eu/
GRANTED FUND
Travel Grant from ELLITE for ICRA Conference
RESEARCH OF INTEREST
Image Processing: applied deep learning methods on salient object detection
Computer Vision: applied deep learning methods on 2D & 3D dataset for object detection, semantic segmentation, sensors fusion
Edge AI: optimized model architecture for low-resource environments
TEACHING
Deep Learning (DT8028 2024 & 2025)
Applied Deep Learning with Pytorch (DT8058 2024 & 2025)
Fundamentals of Computer Vision with Deep Learning (DT8055 2025)
Introduction to Computer Vision with Deep Learning (DS6001 2025)
PROFESSIONAL SERVICES
Journal Reviewers
Neurocomputing
IEEEAccess
Computers and Electrical Engineering
Pattern Analysis and Applications
Scientific Reports
Journal of Real-Time Image Processing
AWARDS
Best Paper Awards KCC Conference (2019)
Best Paper Awards ICONI Conference (2023)