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Dr Joseph Dang

Dr Joseph Dang, Information Technology, PhD Computer Science, Master of Information Technology

Dr Joseph Dang

Lecturer

Applied Information Technology

Joseph earned his PhD in Computer Science from Victoria University of Wellington in 2023. His previous roles include serving as Deputy Head of the Department of Information Technology at the Industrial University of Ho Chi Minh City (IUH), Vietnam, and teaching at the Ho Chi Minh City University of Technology and Education. Currently, Joseph is a Lecturer at Whitecliffe, where he teaches in the Master of IT programme, and a Visiting Scholar at IUH.

Joseph earned his PhD in Computer Science from Victoria University of Wellington in 2023. His previous roles include serving as Deputy Head of the Department of Information Technology at the Industrial University of Ho Chi Minh City (IUH), Vietnam, and teaching at the Ho Chi Minh City University of Technology and Education. Currently, Joseph is a Lecturer at Whitecliffe, where he teaches in the Master of IT programme, and a Visiting Scholar at IUH.

Additional Information

His research focuses on artificial intelligence, machine learning, greedy algorithms, swarm intelligence, evolutionary computation, and combinatorial optimisation. Joseph also serves as a member of Whitecliffe’s Research and Ethics Committee.

 

Joseph is an educator and researcher with an international academic background spanning Vietnam, Korea, and New Zealand. He values clear, evidence-based thinking and aim to foster the same in my students. Outside of teaching and research, Joseph maintains a strong interest in problem-solving, applied technology, and practical applications of artificial intelligence in real-world contexts.

 

Publications:

 

  1. Dang, B.T. (2026). Improved Greedy Algorithms for the Set Covering Problem. In: Nguyen, N.T., et al. Computational Intelligence in Engineering Science. ICCIES 2025. Communications in Computer and Information Science, vol 2586. Springer, Cham. https://doi.org/10.1007/978-3-031-98167-8_4
  2. Binh Thanh Dang, Viet Chuong Bui, “Forecasting New Zealand Housing Demand: Comparing Elastic Net, XGBoost and RNN Models”. In: IUH Journal of Science and Technology. October 2025. Paper accepted and to be published.
  3. Rooshan Ghous, Dr. Reuben Broom, Dr. Vanessa Blair & Dr. Joseph Dang, “Long-Term Survival Insights Using Explainable AI: Role of DCIS in Invasive Breast Cancer.” 2025 Public Health Observatory of NZ Conference (PHONZ2025), 16-18 July 2025.
  4. Intikhab Alam, Binh Thanh Dang, Shahbaz Pervez, “Innovative IoT Solutions: A Comprehensive Study of the MATTER Standard in Smart Home Integration.” 2024 IEEE 9th International Conference on Engineering, Technologies & Applied Sciences (ICETAS 2024), Manama, Bahrain, November 2024.
  5. Rooshan Ghous, Binh Thanh Dang, “A Robust Machine Learning Model for Long-Term Survival Prediction of Breast Cancer Patients in New Zealand.” 2024 Public Health Observatory of NZ Conference (PHONZ2024), July 2024.
  6. Binh Thanh Dang, Bach Hoai Nguyen, Peter Andreae, “Operation-based Greedy Algorithm for Discounted Knapsack Problem”. In: Aziz, H., Corrêa, D., French, T. (eds) AI 2022: Advances in Artificial Intelligence. AI 2022. Lecture Notes in Computer Science(), vol 13728. Springer, Cham. https://doi.org/10.1007/978-3-031-22695-3_45.
  7. Binh Thanh Dang, Tung Khac Truong. “Binary Salp Swarm Algorithm for Discounted 0-1 Knapsack Problem”, in PLOS ONE 17(4): e0266537, (2022).
  8. Binh Thanh Dang, Minh Cong Vo, and Tung Khac Truong. “Social Spider Algorithm-based Spectrum Allocation Optimization for Cognitive Radio Networks”, in International Journal of Applied Engineering Research, ISSN 0973-4562, Volume 12, Number 13 (2017) pp. 3879-3887.
  9. Tung Khac Truong, Binh Thanh Dang, DuyBao LyHuynh, Khanh Le,. “An Improved Parallel Genetic Algorithm for The Traveling Salesman Problem”, in Proceedings of the 2016 International Conference on Advanced Technology and Sustainable Development, Ho Chi Minh City, Vietnam, August 21-23, 2016, pp.723-730.
  10. Binh Thanh Dang, Phuong Hoai Nguyen, Tung Khac Truong, “An Adaptive Handover Scheme for Mobile Sensor Networks”, in Journal of Next Generation of Information Technology, vol. 6, no. 4, p. 24, 2015
  11. Binh Thanh Dang, Seok Lee, Hyung Seok Kim, “An Enhanced Key Management Protocol for Wireless Sensor Networks”, in Conference of Intelligent Transportation System, Republic of Korea, 6-8 November 2008