About me

Thanh-Nghi Doan is an Associate Professor and Senior Lecturer with a Ph.D. in Information Technology at the Faculty of Information Technology, An Giang University, Vietnam National University Ho Chi Minh City. Since joining the university in 1999, he has held various roles, including Dean of the Faculty from 2017 to the present. Dr. Doan earned his Ph.D. in Computer Science from the University of Rennes 1, France, in 2013, where he was a Ph.D. candidate in the TEXMEX Research Team at IRISA. His research primarily focuses on machine learning, data mining, and high-performance computing, particularly in the field of computer vision with applications in agriculture. His notable contributions include developing 2D and 3D image analysis systems for agricultural use in the Mekong Delta, such as insect image classification systems and rice disease prediction. Especially he made a major contribution to 2D and 3D image understanding systems in agriculture in Mekong Delta. Throughout his career, Dr. Doan has led and contributed to numerous research projects and publications in these fields, advancing smart agriculture, biodiversity conservation, and digital transformation for small and medium-sized enterprises. His expertise also includes IoT, smart farm design, and mobile programming, with proficiency in languages like C/C++, Python, and Java. He has authored and co-authored several books on programming and information technology, contributing significantly to educational resources in Vietnam. 

Research Areas

Computer vision, Machine learning, Data mining, 3D insect reconstruction, Object detection, IoT, GIS, Digital Agriculture, Medical object detection

Awards

1. In 2010, received a scholarship under the scholarship program "Project for training scientific and technical staff at foreign institutions using the State budget", abbreviated as Project 322 of the Ministry of Education and Training, Vietnam, 2010

2. In 2010, received the Allocations de Recherches Doctorales (ARED) scholarship, Région Bretagne, France

3. In 2012, Finalist of the Best Paper Award 2012 12es journées d’extraction et de gestion des connaissances, EGC’12, Bordeaux, France, 2012

4. In 2024, honored as a Typical Intellectual of Science and Technology of An Giang province, for the first time, awarded by the Union of Science and Technology Associations of An Giang province.

Skill Highlights

• Machine learning, computer vision

• Project management

• IoT, Smart farm design

• Complex problem solver

• Creative design

• Innovative

• Service-focused

• C/C++, Python, Java

• OpenCV

• Pytorch, Tensorflow/Keras

• GIS

• Mobile programing

Education

Doctoral Degree (2010–2013), Computer science

University of Rennes 1, INRIA, France

Thesis: “Large Scale Support Vector Machines Algorithms for Visual Classification”

Advisor: Associate Prof. Francois Poulet

Thesis defense: November 07, 2013

Master Degree (2001–2003), Computer science

MSc in Computer Science, University of Science, Viet Nam.

Thesis: “Artificial Neural Network for Pest Forecast System”

Advisor: Prof. Hoang Van Kiem

Bachelor Degree (1993–1998), Computer science

BSc in Computer science, Can Tho University, Viet Nam.

Thesis: “Tiger, a Modern Compiler”

Advisor: Msc. Nguyen Van Linh

Training

1. National Geographic Storytelling Collective workshop, Hong Kong on November 13-17, 2023: Workshop is designed to help to gain a beginning knowledge of the science behind why storytelling in general (and visual storytelling in particular) is an effective way to communicate key ideas and move people to action. In addition, in this workshop attendee will learn how social media can be used as a tool to support your work.

2. Orientation Training Course, National Geographic, 2019: Orientation Training Course by National Geographic aims to equip young leaders with leadership, communication, and networking skills. The program provides intensive training in science communication, project management, and leadership development while connecting participants with experienced mentors.

3. DIES Proposal Writing Courses for Research Projects, 26/01/2015 – 21/08/2015: The DIES Proposal Writing Courses, also known as ProGRANT, are part of the Dialogue on Innovative Higher Education Strategies (DIES) program, a collaborative initiative by the German Academic Exchange Service (DAAD) and the German Rectors' Conference (HRK). These courses aim to equip early-career researchers from Africa, Latin America, the Middle East, and Southeast Asia with the skills necessary to develop competitive research proposals that meet international standards.

4. DAAD, HCM UNILEAD Vietnam Program, 04 – 15/08/2014: UNILEAD is an initiative by the German Academic Exchange Service (DAAD) and the University of Oldenburg, targeting young managers in higher education institutions from developing and emerging countries, including Vietnam. The program focuses on enhancing skills in Project Management, Strategic Management & Academic Leadership, and Human Resource Management.

Books

1. Doan Thanh Nghi, Huynh Viet Trung, Phan Dinh Truong, Dao Huu Thang, "Basic knowledge guidebook to help students achieve IT output standards", Can Tho University Publishing House, Vietnam, February 2025 , ISBN: 978-604-919-996-7.

2. Doan Thanh Nghi, Duong Tuan Dung, Nguyen Thanh Tinh, 'Information Technology Skills Standards - Part 1,' Can Tho University Publishing House, Vietnam, 02/2024, ISBN: 978-604-965-713-9.

3. Doan Thanh Nghi, Pham Huu Dung , Nguyen Thi My Truyen, "Basic Java programming", National University Publishing House, Ho Chi Minh City, Vietnam, 2023, ISBN: 978-604-73-9827-0.

4. Doan Thanh Nghi, Nguyen Minh Vi, Thieu Thanh Quang Phu, Huynh Phuoc Hai, " Web Programming", National University Publishing House, Ho Chi Minh City, Vietnam, 202 3 , ISBN: 978-604-73-9166 - 0

5. Doan Thanh Nghi, Nguyen Minh Vi, "Principles of Database Management System", National University Publishing House, Ho Chi Minh City, Vietnam, 2021, ISBN: 978-604-73-8489-1.

6. Detlef Briesen, Vo Van Thang, Tran The Dinh, Truong Anh Ngoc, Huynh Thanh Tien, Thai Huynh Phuong Lan, Tran Thi Thanh Hue, Tran Le Dang Phuong, Vo Lam, Ho Thanh Binh, Doan Thanh Nghi, Nguyen Huu Tri , Tran Thi Hong Ngoc, Phan Truong Khanh, Pham Trung Tuan, Phan Truong Khanh, Nguyen Tran Thien Khanh, Trinh Phuoc Nguyen, Nguyen Phuong Thao, Nguyen Thi Hong Loan, "Mekong Delta Handbook", Vietnam - Geschichte, Kultur, Gesellschaft, Cuvillier Verlag Göttingen, 2021, ISBN-13 (Hard Copy) 978-373-69-7363-3.

7. Thanh-Nghi Doan, Francois Poulet, "Large Scale Support Vector Machines Algorithms for Visual Recognition", Scholars' Press, 2014, ISBN-13: 978-3-639-71575-0.

8. Book chapter: Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet: Large Scale Image Classification with Many Classes, Multi-features and Very High-Dimensional Signatures. Advanced Computational Methods for Knowledge Engineering 2013: 105-116, ISBN: 978-3-319-00292-7. DOI: https://doi.org/10.1007/978-3-319-00293-4_9

9. Book chapter: Thanh-Nghi Doan and François Poulet, “Large scale image classification: fast feature extraction, multi-codebook approach and multi-core SVM training,” In Advances in Knowledge Discovery and Management, volume 4, Springer-Verlag, F. Guillet, B. Pinaud, G. Venturini and D. Zighed (eds.), 2014, ISBN: 978-3-319-02999-3. DOI: https://doi.org/10.1007/978-3-319-02999-3_9

Publication

1. Le Hoang Anh, Thanh-Nghi Doan, Thanh-Nhan Huynh-Ly, Minh-Vi Nguyen, and Hoai-Nam Nguyen, "Evaluating an ELiPS-Based CP-ABE Enhancement on Server and IoT Platforms", Seventh International Conference on Soft Computing and its Engineering Applications, 2025, Q4.

2. N. D. A. K. Tong Le Thanh Hai, Doan Thanh Nghi, Pham Ngoc Giau, “Improving DETR with ConvNeXt and CBAM for tomato leaf disease Detection: A comparative study with YOLO12 and faster R-CNN,” in The 2025 International Conference on Research in Engineering and Technology, 2025, pp. 185–191.

3. T.-N. Doan, H.-N. Le, and T.-T. Bui-Thi, “High-precision 3D Insect Modeling with Photogrammetry: A Comparative Study,” in Computational Intelligence in Engineering Science, 2026, pp. 56–69. Q4

4. T. Doan, “A Novel Real-Time Insect Detection System on Mobile Smart Devices,” J. Adv. Inf. Technol., vol. 16, no. 5, pp. 655–665, 2025, doi: 10.12720/jait.16.5.655-665. Q3

5. Doan Thanh Nghi; Duong Thi Kim Ngan, “Digital transformation solutions in healthcare for remote health monitoring,” Jounal Sci. Dev. Econ., vol. 33, pp. 88–100, 2025. 

6. Đoàn Thanh Nghị; Huỳnh Lý Thanh Nhàn; Mai Thị Ánh Tuyết; Vũ Minh Tú, “Mô hình chuyển đổi số trong nông nghiệp: Nghiên cứu trường hợp Công ty Thái Minh Nguyên,” Tạp chí Kinh tế và Dự báo, pp. 241–244, 2025.

7. T.-N. Doan and D.-N. Le-Thi, “A Novel Deep Learning Model for Flood Detection from Synthetic Aperture Radar Images,” J. Adv. Inf. Technol., vol. 16, no. 1, 2025, doi: 10.12720/jait.16.1.57-70. Q3

8. T.-N. Doan and D.-N. Le-Thi, “Map Floodwater Radar Imagery Using Machine Learning Algorithms,” IIUM Eng. J., vol. 26, no. 1, 2025, doi: 10.31436/iiumej.v26i1.3157. Q3

9. Mai Thị Ánh Tuyết; Đoàn Thanh Nghị; Huỳnh Phước Hải, “Thực trạng và giải pháp nâng cao năng lực chuyển đổi số trong doanh nghiệp trên địa bàn tỉnh An Giang,” Tạp chí Kinh tế và Dự báo, pp. 238–242, 2024.

10. T.-N. Doan and D.-N. Le-Thi, “Wildlife Species Classification from Camera Trap Images Using Fine-tuning,” Int. J. Intell. Eng. Syst., vol. 17, no. 6, pp. 624–638, 2024, doi: 10.22266/ijies2024.1231.48. Q3

11. T. Doan and T. Phan, “A Novel Smart System with Jetson Nano for Remote Insect Monitoring,” Int. J. Adv. Comput. Sci. Appl., vol. 15, no. 7, pp. 1002–1012, 2024. Q3

12. T. V. H. Tran, N. C., Nguyen, T. H., Nguyen, T. M. T., Thanh-Nghi Doan, Nguyen, T. B. P. Dao, “Simulation of Water Quality in Bung Binh Thien Lake, An Giang Province, Vietnam, Using the Delft3D Model,” Int. J. Geoinformatics, vol. 20, pp. 56–71, 2024, doi: 10.52939/ijg.v20i8.3455. Q3

13. D. Thanh-Nghi, P.-H. Huynh, and T.-N. Huynh-Ly, “A Smart Information Gateway to Support Businesses in an Giang Province,” Int. J. Relig., vol. 5, pp. 7269–7286, 2024, doi: 10.61707/r1vka263. 

14. T.-N. Doan and K. T. T. Nguyen, “Building a GIS Map for Forecasting the MIR Index in An Giang,” IIUM Eng. J., vol. 25, no. 2, pp. 266–286, 2024, doi: 10.31436/iiumej.v25i2.3129. Q3

15. T.-N. Doan, E. Schroter, and T.-B. Phan, “Fall Detection Using Intelligent Walking-Aids and Machine Learning Methods,” in Intelligent Systems and Data Science, 2024, pp. 95–109. Q4

16. T. Doan and P. Huynh, “A Novel System For Predicting the Damage Of Rice Diseases In An Giang Province, Vietnam,” Tra Vinh Univ. J. Sci., vol. 13, no. 4, 2023, doi: 10.35382/TVUJS.13.4.2023.2844. 

17. T.-N. Doan, “a Novel Low-Cost System for Remote Health Monitoring Using Smartwatches,” Indian J. Comput. Sci. Eng., vol. 14, no. 3, pp. 429–443, 2023, doi: 10.21817/indjcse/2023/v14i3/231403068.

18. T.-N. Doan, “a Back-Propagation Neural Network With Delay and Shift Window for Tourism Demand Forecasting,” Indian J. Comput. Sci. Eng., vol. 14, no. 3, pp. 587–603, 2023, doi: 10.21817/indjcse/2023/v14i3/231403071.

19. E. Schröter, D. Thanh Nghi, and A. Schneider, “Development of an Intelligent Walking Aid for Fall Detection,” Curr. Dir. Biomed. Eng., vol. 9, no. 1, pp. 287–290, 2023, doi: 10.1515/cdbme-2023-1072. Q4

20. T.-N. Doan, “Large-Scale Insect Detection With Fine-Tuning YOLOX,” Int. J. Membr. Sci. Technol., vol. 10, no. 2, pp. 892–915, 2023, doi: 10.15379/ijmst.v10i2.1306.

21. T.-N. Doan, “A Novel LoRa-Based Platform for Remote Monitoring of Large-Scale Rice Fields,” Int. J. Membr. Sci. Technol., vol. 10, no. 2, pp. 1301–1322, 2023, doi: 10.15379/ijmst.vi.1307.

22. T.-N. Doan and D.-N. Le-Thi, “A Novel Mango Grading System Based on Image Processing and Machine Learning Methods,” Int. J. Adv. Comput. Sci. Appl., vol. 14, no. 5, 2023, doi: 10.14569/IJACSA.2023.01405115. Q3

23. P.-H. Huynh, L.-D. Quach, L. T. T. Le, and T.-N. Doan, “Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification,” in Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 2023, pp. 199–202, doi: 10.1145/3591569.3591604.

24. T.-N. Doan and C. V. Nguyen, “A low-cost digital 3D insect scanner,” Inf. Process. Agric., no. xxxx, 2023, doi: 10.1016/j.inpa.2023.03.003. Q1

25. T. Doan, “Large-Scale Insect Pest Image Classification,” J. Adv. Inf. Technol., vol. 14, no. 2, 2023, doi: 10.12720/jait.14.2.328-341. Q2

26. K. T. Thien Nguyen, C. T. Dao Vo, A. T. Ngo, N. T. Doan, L. Phuc Huynh, and D. H. Thuy Tran, “Aquaculture Wastewater Quality Improvement by Floating Raft of Native Aquatic Plants in An Giang Province, Vietnam,” Pertanika J. Sci. Technol., vol. 31, no. 2, pp. 729–758, 2023, doi: 10.47836/pjst.31.2.06. Q3

27. T.-N. Doan, “An Efficient Patient Activity Recognition using LSTM Network and High-Fidelity Body Pose Tracking,” Int. J. Adv. Comput. Sci. Appl., vol. 13, no. 8, 2022, doi: 10.14569/IJACSA.2022.0130827. Q3

28. T.-N. Doan, “An Efficient System for Real-time Mobile Smart Device-based Insect Detection,” Int. J. Adv. Comput. Sci. Appl., vol. 13, no. 6, pp. 30–36, 2022. Q3

29. T.-N. Doan, M.-V. Nguyen, T.-Q.-P. Thieu, and P.-H. Huynh, Web Programming. Ho Chi Minh City National University Publishing House, 2022.

30. K. T. T. Nguyen, C. T. D. Vo, A. T. Ngo, N. T. Doan, L. P. Huynh, and D. H. T. Tran, “Water Quality Assessment of Surface Water at the Urban Area of An Giang Province, Vietnam,” Pertanika J. Sci. Technol., vol. 30, no. 3, pp. 2205–2223, 2022, doi: 10.47836/pjst.30.3.26. Q3

31. T.-N. Doan, H.-D. Pham, and T.-M.-T. Nguyen, Basic Java Programming. Ho Chi Minh City National University Publishing House.

32. T.-N. Doan and M.-V. Nguyen, Database Management System Principles. Ho Chi Minh City National University Publishing House, 2021.

33. T.-N. Doan, “Pest insect classification using EfficientNet and Power mean SVM,” in the 14th National Scientific Conference on Research and Application of Information Technology - Fair’ 2021, 2021, pp. 119–127.

34. T.-N. Doan, T.-H.-T. Nguyen, and T.-A. Thai, “Smart camera system for remote patient activity monitoring,” in the 14th National Scientific Conference on Research and Application of Information Technology - Fair’ 2021, 2021, pp. 110–117.

35. T.-N. Doan and V.-C. Nguyen, “Build a 3D insect scanner,” in The 24th National Conference “Some Selected Issues of Information and Communication Technology” (VNICT 2022), 2021, pp. 53–58.

36. H.-A. Le, Q.-M. Do, T.-N. Doan, and T.-L. Nguyen, “Application and security of wireless sensor networks in agriculture,” in The 24th National Conference “Some Selected Issues of Information and Communication Technology” (VNICT 2022), 2021, pp. 604–610.

37. T.-N. Doan and M.-T. Truong, “Real-time vehicle detection and counting based on YOLO and DeepSORT,” in 12th International Conference on Knowledge and Systems Engineering, {KSE} 2020, Can Tho City, Vietnam, November 12-14, 2020, 2020, pp. 67–72, doi: 10.1109/KSE50997.2020.9287483.

38. N.-K. Chau and D. Thanh-Nghi, “Dense SIFT feature and local naive bayes nearest neighbor for face recognition,” Sci. J. Tra Vinh Univ., vol. 1, pp. 56–63, 2017, doi: 10.35382/18594816.1.28.2017.46.

39. N.-K. Chau, T.-N. Doan, and N.-T. Vo, “Using combined neural networks and genetic algorithms for prediction of the damage of rice diseases in An Giang province,” in Proceedings scientific research results for training, Kien Giang Universtiy, 2017, pp. 134–144.

40. T.-N. Doan, “Parallel, imbalanced bagging Power Mean SVM for large scale visual classification,” AGU Int. J. Sci., vol. 4, pp. 26–40, 2015.

41. T.-N. Doan, T.-N. Do, and F. Poulet, “Large scale classifiers for visual classification tasks,” Multimed. Tools Appl., vol. 74, pp. 1199–1224, 2014. Q1

42. T.-N. Doan, T.-N. Do, and F. Poulet, “Parallel Incremental Power Mean SVM for Classification of Large Scale Visual Datasets,” Int. J. Multimed. Inf. Retr., vol. 3, 2014, doi: 10.1007/s13735-014-0053-0. Q1

43. T.-N. Doan, T.-N. Do, and F. Poulet, “Classification d’images à grande échelle avec des SVM,” Trait. du Signal, vol. 31, no. 1–2, pp. 39–56, 2014, doi: 10.3166/ts.31.39-56. 

44. T.-N. Doan and F. Poulet, Large scale support vector machines algorithms for visual classification. Scholars’ Press, 2014.

45. T.-N. Doan, T.-N. Do, and F. Poulet, “Parallel incremental SVM for classifying million images with very high-dimensional signatures into thousand classes,” in The 2013 International Joint Conference on Neural Networks, {IJCNN} 2013, Dallas, TX, USA, August 4-9, 2013, 2013, pp. 1–8, doi: 10.1109/IJCNN.2013.6707121.

46. T.-N. Doan, T.-N. Do, and F. Poulet, “Large Scale Visual Classification with Parallel, Imbalanced Bagging of Incremental LIBLINEAR SVM,” Proc. Int. Conf. Data Min., p. 1, 2013.

47. T.-N. Doan, T.-N. Do, and F. Poulet, “Large Scale Visual Classification with Many Classes,” in Machine Learning and Data Mining in Pattern Recognition - 9th International Conference, {MLDM} 2013, New York, NY, USA, July 19-25, 2013. Proceedings, 2013, vol. 7988, pp. 629–643, doi: 10.1007/978-3-642-39712-7\_48.

48. T.-N. Doan, T.-N. Do, and F. Poulet, “Multi-way classification for large scale visual object dataset,” in 11th International Workshop on Content-Based Multimedia Indexing, {CBMI} 2013, Veszprém, Hungary, June 17-19, 2013, 2013, pp. 185–190, doi: 10.1109/CBMI.2013.6576579.

49. T.-N. Doan and F. Poulet, “Large Scale Image Classification: Fast Feature Extraction, Multi-codebook Approach and Multi-core SVM Training,” in Advances in Knowledge Discovery and Management - Volume 4 [Best of {EGC} 2012, Bordeaux, France], 2012, vol. 527, pp. 155–172, doi: 10.1007/978-3-319-02999-3\_9.

50. T.-N. Doan and F. Poulet, “Un environnement efficace pour la classification d’images à grande échelle,” in Extraction et gestion des connaissances (EGC’2012), Actes, janvier 31 - février 2012, Bordeaux, France, 2012, vol. RNTI-E-23, pp. 471–482, [Online]. Available: http://editions-rnti.fr/?inprocid=1001189.

Projects

1. 2023 – present: Project Leader, B-level project, Ho Chi Minh City National University. Funding Program: Research Support Program for Industry 4.0, Innovation, and Artificial Intelligence under Resolution No. 50/NQ-CP. Project Title: "Developing a Dataset of 2D and 3D Images and Algorithms for Insect Recognition from Images for Smart Agriculture, Biodiversity Conservation, and Ecosystem Services"

2. 2023 – present: Project Leader, An Giang provincial project, “Research on digital transformation solutions of small and medium-sized enterprises in An Giang province”, 2023

3. 2021 – 2023: Member, Category B, Vietnam National University, Ho Chi Minh City, accepted, “Building a dataset of aquatic plant biological signals (Macrophytes) on water from canals and rivers in An Giang province to forecast specific pollution levels of surface water sources”, 2023

4. 2019 – 2021: “Insect collection of Mekong Delta for sustainable agriculture, biodiversity discovery, and ecosystem education”, funded by National Geographic Society (NGS-KOR-59552T-19), Head of scientific research.

5. 2019 – 2020: “AI to classify and identify insects for biodiversity discovery of Mekong Delta”, funded by Microsoft Cooperation.

6. 2018 – 2020: “Anti-smuggling and commercial fraud prevention database”. Member, An Giang provincial scientific research project, 2020

7. 2018 – 2019: “Research and build a database of tasks and potentials of science and technology in An Giang province”. Scientific secretary, provincial scientific research project.

8. 2016 – 2018: “Research, design and build a shared database system for education and training in An Giang province”. Member, An Giang provincial scientific research project.

9. 2016 – 2018: “Research and build online GIS map for tourism in An Giang province”. Head of the research project, provincial scientific research project (ministerial-level science topics).

10. 2016 – 2017: “Building a database and management system for scientific research activities at An Giang University”. funded by An Giang Department of Science and Technology, An Giang University, Head of scientific research.

Participate in training program development

1. In 2024, member of the Drafting Team of the Project to open a pilot inter-university major in Digital Agricultural Technology at university level, according to Decision No. 2642/QD-DHAG, dated November 7, 2024 of the President of An Giang University.

2. In 2024, Head of the Team drafting the project to open a major and the Master's training program in Information Technology, according to Decision No. 692/QD-DHAG, dated April 22, 2024 of the President of An Giang University.

3. In 2024, Head of the Team reviewing and adjusting the output standards and training program for the 2024 undergraduate Software Engineering major, according to Decision No. 40/QD-DHAG, dated January 11, 2024 of the President of An Giang University.

4. In 2022, Head of the Team to review and adjust the output standards and training program of the Software Engineering major at the university level in 2022, according to Decision No. 55/QD-DHAG dated January 17, 2022 of the President of An Giang University.

5. In 2021, member of the Working Group to implement the Research and Development Program for Artificial Intelligence (AI) applications until 2030, according to Decision No. 216/QD-DHQG dated March 18, 2021 of the Director of Ho Chi Minh City National University.

6. In 2021, member of the Steering Committee serving the preparation of external assessment of the Information Technology training program according to the AUN-QA Standards, according to Decision No. 1419/QD-DHAG dated July 9, 2021 of the President of An Giang University. + In 2016, I was the Information Technology Expert Group of An Giang province, according to Official Dispatch No. 653/STTTT-TTDV dated October 19, 2016 of the Deputy Director of the Department of Information and Communications of An Giang province. The task of the Expert Group is to conduct a survey to assess the current situation and propose solutions for application and development of the Information Technology sector in the locality, contributing to the socio-economic development of An Giang province according to Decision No. 1027/QD-UBND dated April 12, 2016 of the People's Committee of An Giang province on approving the Program for development of research and application of science and technology in the field of information technology for the period 2016-2020.

7. In 2016, head of the drafting team, building the CDIO training program for the Software Engineering major at the university level according to Official Dispatch No. 2431/QD-DHAG dated December 10, 2015 of the President of An Giang University. The program has been applied in student training since 2016 according to Official Dispatch No. 1555/QD-DHAG dated September 9, 2016 of the President of An Giang University.

Teaching experience

2014 -  2017: “Machine learning”, Master's degree from University of Science, Hue University (joint class between University of Science and An Giang University)

2019 - present: "Artificial intelligence", bachelor degree at Faculty of Information Technology, An Giang University, Dong Thap University

2009 - present: Supervising 04 B.Sc student for internship from University of Applied Science, Darmstadt, Germany

2019 - present: “Geographic information system”, Bachelor's degree at Faculty of Information Technology, An Giang University

2019 - present: “́Application of GIS and remote sensing in resource and environment management”, Master's degree at Faculty of Engineering - Technology - Environment, An Giang University

2020 – present: Computer vision, bachelor degree at Faculty of Information Technology, An Giang University, Dong Thap University

2022: AI in Agriculture (online), Medan Area University, Indonesia

Work experience

1998 – 2010: Lecturer, An Giang University

2010 - 2013: Ph.D. candidate in TEXMEX Research Team, IRISA, France

2013 – 2024: Lecturer, Faculty of information technology, An Giang University

2024 – present: Senior Lecturer, Faculty of information technology, An Giang University

2023 – present: Digital transformation expert of the Ministry of Planning and Investment network

Presentation

1. October 25, 2025, An Giang University, Overview of the Digital Competence Framework for Learners, Circular No. 02/2025/TT-BGDĐT, dated January 24, 2025, issued by the Ministry of Education and Training, effective from March 11, 2025. 

2. October 17, 2024, Keynote speaker: Application of Artificial intelligence in Smart Agriculture, Assoc.Prof.Dr. Thanh-Nghi Doan, In collaboration with Digital Information Research Labs., India, Tien Giang University is going to co-organize the Sixth International Conference on Real-Time Intelligent Systems (RTIS 2024) at Tien Giang University, My Tho city, Tien Giang province, Vietnam, from October 17th to October 19th, 2024, website: https://socio.org.uk/rtis/ 

3. October 15, 2024 , An Giang Provincial People's Committee organized the Digital Transformation Workshop 2024 with the theme "Universalizing digital infrastructure and innovating digital applications to develop the digital economy - New driving force for economic growth and labor productivity", Report 10: Digital transformation: Growth opportunities for small and medium enterprises in An Giang province, Speaker: Associate Professor, Dr. Doan Thanh Nghi - Director of the Information Technology Center - An Giang University, link

4. October 8, 2024 , An Giang organized the Agricultural Extension Forum @ Agriculture with the theme "Application of digital transformation in agriculture", Application of AI, IoT in smart agriculture, link

5. June 22, 2024 , Faculty of Information Technology, An Giang University, VNU-HCM attended the International Conference "Research Issues in Science and Technology in 2024 - RET 2024" held at Tra Vinh University, link .

6. April 26, 2024 - Vietnam - India Diplomatic Relations Conference, An Giang University - 52 years, An Giang Newspaper

7. July 1, 2023 - Digital knowledge and skills in vocational training, An Giang Ethnic Boarding Vocational College. Link .

8. June 2, 2023 - Digital transformation for businesses in Vietnam, Dong Thap Union of Science and Technology Associations. Link

9. May 23, 2023 - Developing a circular agricultural economy based on digital transformation, An Giang Union of Science and Technology Associations, An Giang Department of Agriculture and Rural Development, Link .

10. October 28, 2022 - Digital transformation in the field of Transport - Logistics, Transport Association AG, link .

11. October 11, 2022 - Digital Transformation Human Resources, VNPT An Giang, link .

12. March 24, 2022 - Vietnam - India Diplomatic Relations Conference, An Giang University, link . 

Languages

English – Full professional proficiency

Vietnamese – Native language