LĨNH VỰC NGHIÊN CỨU

• Mạng ngữ nghĩa
• Phân tích chuỗi thời gian và ứng dụng
• Các giải thuật tính toán tự nhiên và ứng dụng

CÔNG TRÌNH KHOA HỌC TIÊU BIỂU

12. Dao Lan Vy Dinh, Ngoc Hang Tran, Vo Huyen Khanh May, Hung Tran, Tran Duc Minh, Dang Thu Lan, Van Nhan Vo. Integrating Kelly Criterion with Technical Indicators for VN30 Stock Market. Intelligent Systems and Data Science. ISDS 2024. Springer Nature Singapore. ISBN 9789819796168.

11. Duc-Minh Tran, Van-Nhan Nguyen, Thanh-Tra Nguyen, Woongsoo Na, Trong-Minh Hoang. An Effective Deep Learning Model Designed for Detecting Fiber Faults in the OTDR Dataset.  Intelligence of Things: Technologies and Applications. ICIT 2024. Springer.

10. Trong-Minh Hoang, Thu-Trang Ngo Thi, Hong-Hue Nguyen Thi, Duc-Minh Tran, and Nam-Hoang Nguyen. Applying Heuristic Methods to the Offloading Problem in Edge Computing. Machine Learning for Mobile Communications ISBN 9781032306933 214 Pages 53 B/W Illustrations June 17, 2024 by CRC Press.

9. Nguyen Tu Anh, Hoang Trong Minh, Tran Duc Minh. An Effective Deep Learning Model for Detecting Plant Diseases Using a Natural Dataset for the Agricultural IoT System. In: Dao, NN., Thinh, T.N., Nguyen, N.T. (eds) Intelligence of Things: Technologies and Applications. ICIT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 188. Springer, Cham.

8. Radia Zeghari, Rachid Guerchouche, Minh Tran-Duc, François Bremond, Kai Langel, Inez Ramakers, Nathalie Amiel, Maria Pascale Lemoine, Vincent Bultingaire, Valeria Manera, Philippe Robert and Alexandra König, Feasibility Study of an Internet-Based Platform for TeleNeuropsychological Assessment of Elderly in Remote Areas, MDPI, April 7, 2022.

7. Alexandra König, Radia Zeghari, Rachid Guerchouche, Minh Duc Tran, François Bremond, Nicklas Linz, Hali Lindsay, Kai Langel, Inez Ramakers, Pascale Lemoine, Vincent Bultingaire, Philippe Robert, Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis: protocol for a cross-over feasibility study, BMJ Open, September 3, 2021.

6. Radia Zeghari, Rachid Guerchouche, Minh Tran Duc, François Bremond, Maria Pascale Lemoine, Vincent Bultingaire, Kai Langel, Zeger De Groote, Francis Kuhn, Emmanuelle Martin, Philippe Robert and Alexandra König, Pilot Study to Assess the Feasibility of a Mobile Unit for Remote Cognitive Screening of Isolated Elderly in Rural Areas, MDPI, 2021.

5. Tran Duc Minh, Claudia d’Amato, Nguyen Thanh Binh, Andrea G.B. Tettamanzi, Constructing Metrics for Evaluating Multi-Relational Association Rules in the Semantic Web from Metrics for Scoring Association Rules, RIVF, IEEE, 2019. .

4. Tran Duc Minh, Claudia d’Amato, Nguyen Thanh Binh, Andrea G.B. Tettamanzi, Comparing rule evaluation metrics for the evolutionary discovery of multi-relational association rules in the semantic web. in Genetic Programming, EuroGP 2018, Parma, Italy, April 4-6, 2018, (Cham), pp.289-305, Springer International Publishing, 2018. 2)

3. Tran Duc Minh, Claudia d’Amato, Nguyen Thanh Binh, Andrea G.B. Tettamanzi, An evolutionary algorithm for discovering multi-relational association rules in the semantic web. in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO2017, Berlin, Germany, July 15-19, 2017, pp. 513–520, 2017.3)

2. Claudia d’Amato, Andrea G.B. Tettamanzi, Tran Duc Minh, Evolutionary discovery of multi-relational association rules from ontological knowledge bases, in Knowledge Engineering and Knowledge Management, EKAW 2016, Bologna, Italy, November19-23, 2016, (Cham), pp.113–128, Springer International Publishing, 2016.4)

1. Claudia d’Amato, Steffen Staab, Andrea G.B. Tettamanzi, Tran Duc Minh, Fabien Gandon, Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases, in Proceedings of SAC2016, Pisa, Italy, April 4-8, 2016, ACM, pp. 333-338, 2016.

GIẢNG DẠY

• Ngôn ngữ lập trình C/C++, Java, Python, Flutter, JavaScript
• Lập trình hướng đối tượng
• Cấu trúc dữ liệu và thuật toán
• Cơ sở dữ liệu
• Kiến trúc máy tính
• Nguyên lý hệ điều hành
• Đồ họa máy tính
• Lập trình Web Front-End, Back-End
• Lập trình di động với Java và Flutter
• Trí tuệ nhân tạo
• Học máy, Học sâu

CÁC ĐỀ TÀI, DỰ ÁN ĐÃ THỰC HIỆN

• Build and deploy a mobile application related to investment and personal financial management. The application has a direct connection to securities firms to provide real-time stock transaction data, aiding users in their investment and personal financial management, AzFin Vietnam, 2022 – 2023.

• DeepSpA (Deep speech analysis) Project. Deep speech analysis for cognitive assessment in clinical trials, INRIA, Pháp, 2019 – 2022.