CV

AI Resident

Qualcomm

Doing research in Efficient Object Detection under the supervision of Prof. Minh Hoai Nguyen (The University of Adelaide).

AI Resident

VinAI Research

Doing research in Efficient Object Detection under the supervision of Prof. Minh Hoai Nguyen (The University of Adelaide).

• 1 accepted paper at BMVC 2024

AI Engineer Intern

Quy Nhon AI Research and Application Center

Building a chatbot to support IT team in dealing with account/VDI/network issues of the staffs in FPT.

• Rasa Chatbot

Master of Science

Mohamed bin Zayed University of Artificial Intelligence

Computer Vision

Bachelor

Hanoi University of Science and Technology

Computer Science

Low-Rank Prompt Adaptation for Open-Vocabulary Object Detection

ICCV 2025 Workshop

The authors propose a lightweight prompt enhancer module for open-vocabulary object detection.

SPARTA-GEMSTONE: A two-phase approach for efficient node placement in 3D WSNs under Q-Coverage and Q-Connectivity constraints

Journal of Network and Computer Applications

The authors propose a two-phase heuristic algorithm to solve the node placement optimization problem in 3D wireless sensor networks.

Striking the perfect balance: Multi-objective optimization for minimizing deployment cost and maximizing coverage with Harmony Search

Journal of Network and Computer Applications

It proposes various enhancements for Harmony Search to solve a multi-objective optimization problem in heterogeneous wireless sensor networks.

Efficiency-preserving Scene-adaptive Object Detection

In Proceedings of British Machine Vision Conference 2024

In this paper, the authors propose MoE architecture to split some initial and terminal layers of a detector to adapt the base model to various scenes without increasing the latency too much.

Node placement optimization under Q-Coverage and Q-Connectivity constraints in wireless sensor networks

Journal of Network and Computer Applications

The authors propose a two-phase heuristic algorithm to solve Q-Coverage and Q-Connectivity problem in wireless sensor networks based on graph theory and clustering technique.