The FPT University Deep Research Group in Applied Sciences (FDRG), based at FPT University – Can Tho Campus, is a multidisciplinary research team dedicated to advancing scientific innovation, technology development, and knowledge transfer.

FPT University Deep Research Group in Applied Sciences

FDRG

FDRG plays a central role in connecting lecturers, researchers, postgraduate students, and industry partners to create a sustainable and pioneering research community. The group focuses on solving real-world problems in the Mekong Delta region through applied research in Artificial Intelligence, Computer Vision, Natural Language Processing, Smart Systems, Robotics, Environmental Management, and Digital Transformation.

Integrate research, training, and technology transfer by fostering collaboration between academia, industry, and international institutions

Supervise graduate and postgraduate students in applied research

03

Through continuous collaboration and innovation, FDRG strives to become a leading hub for applied research and interdisciplinary science in Vietnam, contributing to the sustainable socio-economic development of the Mekong Delta and the wider region.

Publish high-quality papers in WoS/Scopus-indexed journals and conferences

02

THE GROUP
AIMS TO

Conduct research projects at institutional, corporate, and regional levels

01

Develop intellectual property, technological products, and commercialization initiatives

04

Strengthen partnerships with national and international research institutes and enterprises

05

core mission

MEMBERS

Principal Researcher of the
FDRG Head of Information Technology Department – FPT University, Can Tho Campus, Vietnam
Dr. Le The Anh
Research interest: Long Text Understanding, Low-resource NLP, Continual Learning
Head of the FDRG
Head of the Artificial Intelligence Division – IT Department - FPT University, Can Tho Campus, Vietnam
Dr. Nguyen Dinh Vinh
Research interest: Computer Vision, Machine Learning, Artificial Intelligence and Applications, and Intelligent Systems
Deputy Head of the FDRG
Head of the Entrepreneurship Department – FPT University,
Can Tho Campus, Vietnam
Dr. Nguyen Trong Luan
Research interest: Innovative Startups, Sustainable Development, iSTEM Education, and ESG
Scientific Secretary of the
FDRG Lecturer and Researcher of the Entrepreneurship Department – FPT University, Can Tho Campus, Vietnam
Dr. Le Canh Bich Tho
Research interest: Climate Smart Agriculture, Smallholder Livelihoods, Regional Economics
Principal Researcher of the
FDRG Lecture and Researcher of the Information and Technology Department – FPT University, Can Tho Campus, Vietnam
Dr. Nguyen Hong Hanh
Research interest: AI, Machine Learning in Healthcare and Education, Biomedical Instrumentation
Principal Researcher of the
FDRG Head of Information Assurance Department – FPT University, Can Tho Campus, Vietnam
PhD Candidate
Luong Hoang Huong

Research interest: Medical and Agricultural Image Processing, Cybersecurity
Principal Researcher of the
FDRG Head of the Automotive Software Engineering Division – IT Department - FPT University, Can Tho Campus, Vietnam
Dr. Tran Ngoc Hoang
Research interest: Automatic control, industrial electronics, artificial intelligence, and computer vision, with applications in robotics, intelligent drive systems, precision agriculture, and autonomous vehicles.

Principal Researcher of the
FDRG Lecture and Researcher of the Information and Technology Department – FPT University, Can Tho Campus, Vietnam
Dr. Cao Hong Nga
Research interest: Speech recognition
  • FAST Framework: Fine-tuning, Adversarial Training, and Student–Teacher Unlearning
  • Multi-source Knowledge-based Dialogue System, Cyber Intellect, Moscow, Russia
  • Vietnamese Multi-document Summarization, Cyber Intellect, Moscow, Russia
  • Research and application of large language models to build a learning support system that answers questions for students, AI VIETNAM
  • Alexa Prize – Socialbot Grand Challenge 3, Amazon – Dream Team
  • 2017–2020 – iPavlov – Open Source Conversational AI Framework, MIPT – Neural Networks and Deep Learning Lab, Moscow
  • Code-switching Speech Recognition
  • Automatic Vietnamese Subtitle Generation for Ethnic Minority Language Programs
1. Artificial Intelligence & Natural Language Processing (AI & NLP)
  • Programmable Surgical Wires
  • Automatic Histology Determination of Polyps
  • Parallel Multi-GPU 3D Image Reconstruction
  • Reconstruction of Medical CT Scans
  • Case-Based Learning System for Medical Education
3. Biomedical Imaging & Health Applications
Processing (AI & NLP)
  • Smart Pest Surveillance using Automatic Light Traps in the Mekong Delta
  • Marine Water Quality Monitoring Station – Kien Giang Province
  • Conservation Project for Mudskippers – Nagasaki, Japan – Completed
  • 2020 – Development of Green Business Principles for Ecotourism in Cu Lao Dung, Bread for the World – Completed
  • 2015–2017 – Coastal Ecosystem and Water Quality Monitoring, Yeosu, South Korea – Completed
  • Market-Oriented Smallholder Value Chains (MSVC)
4. Smart Agriculture & Environmental Monitoring
5. Material Science & Simulation
  • Simulation of 2D, Pentagonal, and Monolayer Materials using Density Functional Theory and Machine Learning
6. Cloud Infrastructure & Digital Platforms

  • Deployment of Cloud Computing System at CNPM Center – Can Tho University using OpenStack
  • Multi-Task Real-Time 3D LiDAR Perception with Attention-Enhanced MobilePIXOR
  • Grounding DINO and Distillation-Enhanced Model for Traffic Sign Detection
  • LightSOD: Lightweight Network for Salient Object Detection
  • Tomato Health Monitoring System using YOLOv8 and Explainable MobileNet
  • Samsung Future Project – A Robust Car and Pedestrian Detection System using Deep Learning, Samsung Group, South Korea
  • Hyundai-Kia Motors Project – Stereo Matching Algorithms with High-Resolution CMOS Camera using Semi-Global Matching (SGM), South Korea
  • Hyundai-Kia Motors Project – Stereo Matching for Real-Street Understanding using CCD Camera
  • Samsung Project – Efficient Human Skeleton Extraction using Kinect Device, Samsung Group, South Korea
2. Computer Vision & Autonomous Systems

RESEARCH PROJECTS

Publications

[1] B. H. Ngo, M.-H. An, K. Nguyen, T. A. Minh, M.-D. Bui, Q.-V. Dinh, and V. D. Nguyen, “An Efficient Framework for Text-to-Image Retrieval Using Complete Feature Aggregation and Cross-Knowledge Conversion,” Pattern Analysis and Applications, 2025. (ISI–Scopus Q2)

[2] H. H. Luong, P. P. Hong, D. V. Minh, T. N. L. Quang, A. D. The, N. Thai-Nghe, and H. T. Nguyen, “Principal Component Analysis and Fine-Tuned Vision Transformation Integrating Model Explainability for Breast Cancer Prediction,” Visual Computing for Industry, Biomedicine, and Art, vol. 8, no. 1, p. 5, Mar. 2025, doi: 10.1186/s42492-025-00186-x.

[3] H. H. Luong, M. D. Vo, H. P. Phan, et al., “Improving Breast Cancer Prediction via Progressive Ensemble and Image Enhancement,” Multimedia Tools and Applications, vol. 84, pp. 8623–8650, 2025, doi: 10.1007/s11042-024-19299-1.

[4] T. A. Le and H. S. Le, “Latvis: Large-scale Task-specific Language Model for Low-resource Vietnamese Multi-document Summarization,” ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 24, no. 5, Apr. 2025.

[5] H. N. Tran, C. T. Nguyen, T. T. Duong, et al., “Multi-task Real-time 3D LiDAR Perception with Attention-enhanced MobilePIXOR for Obstacle Segmentation and Pedestrian Detection in Autonomous Robots,” Arabian Journal for Science and Engineering, 2025. https://doi.org/10.1007/s13369-025-10568-1

[6] H. N. Tran, N. T. Nguyen, N. V. Nguyen, H. X. Nguyen, and A. D. Nguyen, “FAST: A Pioneering Unlearning Framework Integrating Fine-tuning, Adverse Training, and Student–Teacher Methods,” Engineering Science and Technology, an International Journal, vol. 64, 2025.

[7] T. B. Loc, N. T. Thanh Ngan, L. D. Linh, and N. T. Luan, “On-The-Job Training: Enhance Experience and Increase Success for the Student Community in Vietnam,” Sage Open, vol. 15, no. 1, 2025, doi: 10.1177/21582440241311160.

[8] V. D. Nguyen, “A Fusion of RGB Features and Local Descriptors for Object Detection in Road Scene,” IEEE Access, 2024, doi: 10.1109/ACCESS.2024.3404248. (ISI–Scopus Q1)

[9] M. P. Nguyen and T. A. Le, “Feature-based Unsupervised Method for Salient Sentence Ranking in Text Summarization Task,” Association for Computing Machinery, New York, NY, USA, 2024.

[10] N. Rusnachenko, T. A. Le, and N. D. Nguyen, “Pre-training LongT5 for Vietnamese Mass-media Multi-document Summarization,” Journal of Mathematical Sciences, 2024.

[11] H. Luong, H. Thanh Nguyen, and N. Thai-Nghe, “Detection and Classification of Breast Cancer in Mammographic Images with Fine-tuned Convolutional Neural Networks,” Journal of Information and Telecommunication, vol. 9, no. 2, pp. 209–236, 2024, doi: 10.1080/24751839.2024.2415033.

[12] V. D. Nguyen, T. D. Trinh, and H. N. Tran, “A Robust Triangular Sigmoid Pattern-based Obstacle Detection Algorithm in Resource-limited Devices,” IEEE Transactions on Intelligent Transportation Systems, 2023, doi: 10.1109/TITS.2023.3253509. (ISI–Scopus Q1)

[13] L. Trong Nguyen and D. V. Tran, “Biodiversity Conservation Perception among University Students in Mekong Delta, Vietnam,” Journal of Human Behavior in the Social Environment, vol. 34, no. 6, pp. 839–854, 2023, doi: 10.1080/10911359.2023.2210614.

[14] L. T. Nguyen, V. H. Nguyen, H. N. Nguyen, L. D. Nguyen, D. T. T. Nguyen, and L. D. Le, “Determinants of Green Consumer Behavior: A Case Study from Vietnam,” Cogent Business & Management, vol. 10, no. 1, p. 2197673, 2023.

[15] H. H. Nguyen et al., “Single Particle Identification Using TimePix Technology and Artificial Intelligence,” Physics in Medicine and Biology, 2023.

[16] H.-J. Jeon, V. D. Nguyen, T. T. Duong, and J. W. Jeon, “A Deep Learning Framework for Robust and Real-time Taillight Detection under Various Road Conditions,” IEEE Transactions on Intelligent Transportation Systems, 2022, doi: 10.1109/TITS.2022.3178697. (ISI–Scopus Q1)

[17] D. R. DeVries, L. J. Olafsen, J. S. Olafsen, H. H. Nguyen, K. E. Schubert, S. Dayawansa, and J. H. Huang, “Ultrasound Localization of Nitinol Wire of Sub-wavelength Dimension,” IEEE Open Journal of Engineering in Medicine and Biology, vol. 3, pp. 18–24, Feb. 2022, doi: 10.1109/OJEMB.2022.3151230.

[18] L. C. B. Tho and C. Umetsu, “Rice Variety and Sustainable Farming: A Case Study in the Mekong Delta, Vietnam,” Environmental Challenges, vol. 8, p. 100532, 2022, doi: 10.1016/j.envc.2022.100532.

[19] L. C. B. Tho and C. Umetsu, “Sustainable Farming Techniques and Farm Size for Rice Smallholders in the Vietnamese Mekong Delta: A Slack-based Technical Efficiency Approach,” Agriculture, Ecosystems and Environment, vol. 326, p. 107775, 2022, doi: 10.1016/j.agee.2021.107775.

[20] L. C. B. Tho, L. C. Dung, and C. Umetsu, “‘One Must Do, Five Reductions’ Technical Practice and the Economic Performance of Rice Smallholders in the Vietnamese Mekong Delta,” Sustainable Production and Consumption, vol. 28, pp. 1040–1049, 2021, doi: 10.1016/j.spc.2021.07.018.

[21] H. H. Nguyen et al., “Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems,” in Proceedings of SPIE, 2019.

FPT University Deep Research Group
in Applied Sciences (FDRG)

Address: 600 Nguyen Van Cu Street, An Binh Ward, Can Tho City, Vietnam

Hotline: (+84) (0236) 730 0999

Email: fdrg@fe.edu.vn

Website: https://cantho.fpt.edu.vn/fdrg

Office Hours:

• Monday – Friday: 8:00 AM – 5:00 PM
• Saturday & Sunday: Closed

For collaboration opportunities, research partnerships, or academic inquiries, please contact us via email.
Our team will respond as soon as possible.