Nguyen Van Thieu

RESEARCH INTERESTS

• Continuous optimization problems
• Artificial intelligence, machine learning, and optimization in cloud computing resource management
• Research on nature-inspired optimization algorithms
• Natural language processing (NLP), reinforcement learning (RL)
• Time series forecasting

SELECTED PUBLICATIONS

• Van Thieu, N., Barma, S. D., Van Lam, T., Kisi, O., & Mahesha, A. (2023). Groundwater level modeling using Augmented Artificial Ecosystem Optimization. Journal of Hydrology, 617, 129034.
• Nguyen, BM, T Tran, Thieu Nguyen, and G Nguyen. “An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks.” International Journal of Computational Intelligence Systems 15, no. 1 (2022): 90.
• Ahmed AN, Van Lam T, Hung ND, Van Thieu N, Kisi O, El-Shafie A. A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem. Applied Soft Computing. 2021 Jul 1;105:107282.
• Nguyen BM, Nguyen T, Nguyen T, Do BL. MPoC-A Metaheuristic Proof of Criteria Consensus Protocol for Blockchain Network. In2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2021 May 3 (pp. 1-8). IEEE.
• Xie C, Nguyen H, Bui XN, Nguyen VT, Zhou J. Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms. Journal of Rock Mechanics and Geotechnical Engineering. 2021 Dec 1;13(6):1452-65.
• Nguyen T, Nguyen T, Vu QH, Huynh TT, Nguyen BM. Multi-objective Sparrow Search Optimization for Task Scheduling in Fog-Cloud-Blockchain Systems. In2021 IEEE International Conference on Services Computing (SCC) 2021 Sep 5 (pp. 450-455). IEEE.
• Nguyen T, Kobayashi S, Fukuda K. LogDTL: Network Log Template Generation with Deep Transfer Learning. In2021 IFIP/IEEE International Symposium on Integrated Network Management (IM) 2021 May 17 (pp. 848-853). IEEE.
• Nguyen BM, Hoang B, Nguyen T, Nguyen G. nQSV-Net: A Novel Queuing Search Variant for Global Space Search and Workload Modeling. Journal of Ambient Intelligence and Humanized Computing. 2021 Jan;12(1):27-46.
• Nguyen BM, Tran T, Nguyen T, Nguyen G. Hybridization of Galactic Swarm and Evolution Whale Optimization for Global Search Problem. IEEE Access. 2020 Apr 20;8:74991-5010.
• Nguyen T, Nguyen G, Nguyen BM. EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction. Procedia Computer Science. 2020 Jan 1;176:800-9.
• Nguyen T, Hoang B, Nguyen G, Nguyen BM. A New Workload Prediction Model Using Extreme Learning Machine and Enhanced Tug of War optimization. Procedia Computer Science. 2020 Jan 1;170:362-9.
• Nguyen T, Nguyen T, Nguyen BM, Nguyen G. Efficient time-series forecasting using neural network and opposition-based coral reefs optimization. International Journal of Computational Intelligence Systems. 2019;12(2):1144.
• Nguyen T, Nguyen BM, Nguyen G. Building resource auto-scaler with functional-link neural network and adaptive bacterial foraging optimization. InInternational Conference on Theory and Applications of Models of Computation 2019 Apr 13 (pp. 501-517). Springer, Cham.
• Nguyen T, Tran N, Nguyen BM, Nguyen G. A resource usage prediction system using functional-link and genetic algorithm neural network for multivariate cloud metrics. In2018 IEEE 11th conference on service-oriented computing and applications (SOCA) 2018 Nov 20 (pp. 49-56). IEEE.

AWARDS & HONOURS

• Achieved the highest score in a Master Defense Council at HUST (Master thesis), 2021
• Achieved NII International Internship Program for International Exchange Student to National Institute of Informatics, Japan, 2020
• Achieved Erasmus+ scholarship for International Exchange Student to University of Luxembourg, 2019
• Being awarded as The Winner Team in Master Program challenge in Data Science Course at HUST, 2019
• Achieved the highest score in a Graduation Defense Council at SoICT, HUST (Graduation thesis), 2018

TEACHING COURSES

• Databases
• Data analysis programming with Python
• Introduction to data science and artificial intelligence
• Programming for artificial intelligence