Khoa Quản trị Thông tin (Trường ĐHKHXH&NV - ĐHQGHN)

Dr. Nguyen Gia Hy specializes in Artificial Intelligence with a strong focus on AI literacy, multi-agent systems, and AI-based automation. His expertise also includes research methods for Machine Learning (ML) and Deep Learning (DL), particularly in applying advanced AI techniques to intelligent systems, automation solutions, and interdisciplinary research environments.

2026, PhD, Computer Science (AI) , Deakin University (Melbourne, Australia)

2022, Bachelor of Engineering (Honours), Software Engineering, Swinburne University of Technology (Melbourne, Australia)

• 2022 – Present | Melbourne, Australia | Swinburne University of Technology | Lecturer
  • Deliver lectures and tutorials for the units Introduction to AI and Intelligent Systems.
  • Develop learning materials and assess assignments and examinations.
• 2025 – Present | Hanoi, Vietnam | University of Social Sciences and Humanities, Vietnam National University | Lecturer
  • Deliver lectures for the unit Digital Ecosystem and Digital Transformation.
• 2026 – Present | Melbourne, Australia | Box Hill Institute | Lecturer
  • Deliver lectures and tutorials for the units Programming Principles and Python Programming.
  • Develop learning materials and assess assignments and examinations.

• 2025 - 2026: AI for teaching and research – GIZ, Lecturer.

• 2025 – 2026: Vietnam Olympiad in Artificial Intelligence – Vietnam Ministry of Education and Training, Trainer.

• 2025 – 2026: AI training for Lecturers – USSH, UEB, UKH, NEU, and other Universities, Lecturer.

• 2025- 2026: AI Training program for Librarians and Library Experts – VASTI, Lecturer.

• 2024 - 2025: AI Applications in Teaching, Learning, and Research – Sponsored by Meta Corporation, Lecturer.

• 2024 – 2025: AI Transformation Training Programs for Corporations – Viettel, THACO, MCNV, and other corporations, Lecturer.

• 2024 – present: SkillPixel Joint Stock Company, Founder and Director.

• 2024 – 2025: AI Training for Leaders - Hanoi Youth Union, Lecturer.

• 2024- 2026: Multiple Research Projects coordinated between Australia (A2I2 lab) and USA (IAAIR) in AI fields.

Reference Books, Textbooks

• Hung Do (Editor-in-Chief), Tuan Hoang, Hy Nguyen, Anh Nguyen, Thao Nguyen, Hoa Tran, Nguyet Pham, & Quan Dao. (2025). Breakthroughs in Teaching and Research with Artificial Intelligence. Vietnam National University Publishing House. (In collaboration with Meta). 

• Hung Do (Editor-in-Chief), Tuan Hoang, Hy Nguyen, Anh Nguyen, Hoa Tran, Phuong Nguyen, Quan Dao, & Viet Tran. (2025). Artificial Intelligence Applications in Study and Career Development. Vietnam National University Publishing House. (In collaboration with Meta).

• Hung Do (Editor-in-Chief), Tuan Hoang, Hy Nguyen, Thuy Bui, Anh Nguyen, Quan Dao, Hoa Tran, Dung Nguyen, Phuong Nguyen, & Tuyet Bui. (2025). AI Competency Framework for University Students. Vietnam National University Publishing House. (In collaboration with Meta).

Current Articles 

• Hy Nguyen, Srikanth Thudumu, Hung Du, Rajesh Vasa, & Kon Mouzakis. (2025). A comprehensive survey on deep reinforcement learning in object tracking. Machine Learning with Applications, 100745 (IF: 4.9). 

• Hy Nguyen, Bao Pham, Srikanth Thudumu, Hung Du, Rajesh Vasa, & Kon Mouzakis. (2025). CSAOT: Cooperative multi-agent system for active object tracking. In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025) (Rank: A).

• Hy Nguyen, Srikanth Thudumu, Hung Du, Rajesh Vasa, & Kon Mouzakis. (2025). Overcoming semantic dilution in transformer-based next frame prediction. In Proceedings of the Americas Conference on Information Systems (AMCIS 2025) (Rank: A).

• Hy Nguyen, Hung Nguyen, Bao Nguyen, Srikanth Thudumu, & Rajesh Vasa. (2025). HNSW++: A dual-branch hierarchical navigable small world graph with LID-guided skip bridge optimization. In Proceedings of the Americas Conference on Information Systems (AMCIS 2025) (Rank: A).

• Hy Nguyen, Srikanth Thudumu, Hung Du, Kon Mouzakis, & Rajesh Vasa. (2023). UAV dynamic object tracking with lightweight deep vision reinforcement learning. Algorithms, 16(5), 227 (IF: 2.1).

• (Best Paper Award) Quoc-Toan Nguyen, Hy Nguyen, Quang-Hieu Tang, Tien Truong, Van-Tuan Pham, Linh Le, & David Williams-King. (2025). Learning disorder detection using eye tracking: Are large language models better than machine learning?. In Proceedings of the ACM Symposium on Eye Tracking Research & Applications (ETRA 2025) (Rank: B). 

• Hy Nguyen, Srikanth Thudumu, Hung Du, Rajesh Vasa, & Kon Mouzakis. (2025). Optimizing deep reinforcement learning configurations for single object tracking. Proceedings of the 21st IEEE International eScience Conference (eScience’25) (Rank: B).

• Hung Du, Hy Nguyen, Srikanth Thudumu, Rajesh Vasa, & Kon Mouzakis. (2025). Goal-oriented multi-agent reinforcement learning for decentralized agent teams. In Proceedings of the IEEE Consumer Communications & Networking Conference (CCNC 2025) (Rank: B).

• Hung Du, Srikanth Thudumu, Hy Nguyen, Rajesh Vasa, & Kon Mouzakis. (2025). Contextual knowledge sharing in multi-agent reinforcement learning with decentralized communication and coordination. arXiv preprint arXiv:2501.15695.

• Srikanth Thudumu, Hy Nguyen, Hung Du, Nhat Duong, Zafaryab Rasool, Rena Logothetis, Scott Barnett, Rajesh Vasa, & Kon Mouzakis. (2025). The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments. arXiv preprint arXiv:2501.17361.

• Hy Nguyen, Duy Khoa Pham, Srikanth Thudumu, Hung Du, Rajesh Vasa, & Kon Mouzakis. (2025). Local Control Networks (LCNs): Optimizing Flexibility in Neural Network Data Pattern Capture. arXiv preprint arXiv:2501.14000.