PhD. Nguyen Doan Dong

  • Position:  Lecturer
  • Title:  Ph.D.
  • Email:
  • Working offices: Faculty of Applied Sciences, Room 408, Building C, HACINCO Student Village, 99-Nguy Nhu Kon Tum Street, Thanh Xuan District, Hanoi

Academic Degrees

  • Engineering Degree: Electronics and Telecommunication, Hanoi University of Science and Technology
  • Master’s degree: Electronics, Hanoi University of Science and Technology
  • PhD degree: Informatics, University of West Timisoara, Romania

Research Areas

  • Research interests:
  1. Natural Language Processing
  2. Virtual Assistance
  3. Applying ML in Marketing
  • Teaching subjects:
  1. Programming I
  2. Programming II
  3. Information Technology Project Management


  • Huu Du, N., Doan Dong, N., Thi Luu, V., Van Hoang, N., Hong Thai, P., Thanh Ngoc, P., Viet Long, N., & Thi Thu Hong, P. (2020). Toward Audio Beehive Monitoring Based on IoT-AI techniques: A Survey and Perspective. Vietnam Journal of Agricultural Sciences, 3(1), 530-540
  • Dong Nguyen Doan, Daniela Zaharie, Dana Petcu, (2020). Auto-scaling for a Streaming Architecture with Fuzzy Deep Reinforcement Learning. In Schwardmann U. et al. (eds) Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019. Lecture Notes in Computer Science, vol 11997. Springer, Cham
  • Miok, K., Nguyen-Doan, D., Robnik-Šikonja, M., & Zaharie, D. (2019, November). Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders. In 2019 E-Health and Bioengineering Conference (EHB) (pp. 1-4). IEEE
  • Miok, K., Nguyen-Doan, D., Škrlj, B., Zaharie, D., & Robnik-Šikonja, M. (2019, October). Prediction Uncertainty Estimation for Hate Speech Classification. In International Conference on Statistical Language and Speech Processing (pp. 286-298). Springer, Cham
  • Miok, K., Nguyen-Doan, D., Zaharie, D., & Robnik-Šikonja, M. (2019, September). Generating Data using Monte Carlo Dropout. In 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP) (pp. 509-515). IEEE
  • Dong Nguyen Doan. Toward on-line predictive models for forecasting workload in Clouds. In 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) 2018 Sep 20 (pp. 260-265). IEEE
  • Dong Nguyen Doan, Gabriel Iuhasz. Tuning Logstash garbage collection for high throughput in a monitoring platform. In 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) 2016 Sep 24 (pp. 359-365). IEEE
  • Nguyen, X. T., & Nguyen, D. D. (2014). Rough fuzzy relation on two universal sets. International Journal of Intelligent Systems and Applications, 6(4), 49
  • Duc Quynh Tran, Doan Dong Nguyen, Huu Hai Nguyen, Quang Thuan Nguyen, An Ensemble Learning Approach for Credit Scoring Problem: A Case Study of Taiwan Default Credit Card Dataset. In International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Dec 2021 (pp.283-292). Springer, Charm.
  • Duc Quynh Tran, Doan Dong Nguyen, Thi Viet Huong Pham, Quang Thuan Nguyen, Predicting Customer Churn in Telecommunication by Ensemble Learning. In Proceedings of Sixth International Congress on Information and Communication Technology, 2021 (pp.619-627). Springer
  • Duc Quynh Tran, Xuan Thao Nguyen, Doan Dong Nguyen, Quang Thuan Nguyen, A novel entropy of intuitionistic fuzzy sets based on similarity and its application in finance, Journal of Intelligent & Fuzzy Systems, (pp.1-11). IOS Press


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Research Projects

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