List of Projects
- Develop an AI-based Interactive E-learning Platform For Endoscopy Training in Vietnam, 2024 (funded by RMIT Vietnam Strategic Innovation Challenge).
- Artificial Intelligence eNabled 3D Facial Scanner for Airway Assessment (AINFAS). NUS GRIP Prime, 2023.
- Transfer Learning for Combinatorial Optimization Problems VINIF.2022.DA183 (funded by VINIF, 2023-2024).
- Implicit Deep Learning for Semantic Segmentation (funded by NAVER, Korea and partially funded by HUST, 2023).
- Uncertainty-aware UDA for semantic segmentation (funded by NAVER, Korea and partially funded by HUST, 2023).
- Scene Understanding for Autonomous Driving using Domain Adaptation Techniques (funded by NAVER, Korea, 2021).
- Vietnamese OCR Recognition Model Development (funded by NAVER, Korea, 2021).
- Development of a Real-time AI-assisted System to Detect Colon Polyps and Identify Lesions at High Risk of Malignancy During Endoscopy VINIF.2020.DA17 (funded by VINIF, 2020-2022).
- Design and Fabrication of Cobot (Collaborative Robot) for Industrial Application and Some Other Fields with Robotics Cooperation. KC4.0 program (funded by government, 2021-2023).
- Research and Develop an Intelligent System to Support the Diagnosis of Upper Gastrointestinal Lesions by Endoscopic Images. KC4.0 program (funded by government, 2021-2023).
- Development of AI Image Judgment of The Winding Coil Parts and Handling Tools of Industrial Robot (funded by Himu Electro, Japan 2020).
- Study on Human Visual Tracking Core Technology based on Multi-modal Deep Neural Network. Bilateral cooperation project between VAST and NRF Korea (co-funded by VAST and NRF 2020-2021).
- Develop a digital transformation model for smart universities. KC4.0/19-25 (funded by government 2020-2022)
- Multitasking Evolutionary Algorithms for Optimizing Artificial Neural Network and Graph-Based Models (co-funded by US Army and US Pacific).
- Image Processing Techniques for Evaluating the Quality of Surgical Suture Needles (funded by MANI INC, Japan 2018).
- Robust dynamic hand gestures recognition for human machine interaction using multimodal features and manifold learning (funded by AFOSR 2017-2019).
- Improving human action recognition using manifold representation and deep learning from multimodal data (funded by NAFOSTED 2017-2019).
- Algorithmic and combinatorial methods on discrete structures (funded by NAFOSTED 2017-2019).
- Developing open-source system Vietvoice for automatic vietnamese speech recognition based on deep learning (funded by HUST 2017).
- Optimizing the combination of tree-like Markov graphs in image segmentation (funded by HUST 2015).
- Image segmentation based on an interactive learning scheme (funded by HUST 2014).
Last update: 01.30.2024