A. Education and professional activities

1. Education and degrees

• 2016 – 2019: Ph.D. in Computational and Applied Mathematics, Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, Czech Republic

• 2011 – 2013: M.Sc. in Probability theory and Mathematical Statistics, University of Science, Ho Chi Minh City, Viet Nam

• 2006 – 2010: B.Sc. in Mathematics, HCMC University of Education, Ho Chi Minh City, Viet Nam

2. Professional activities

• 2014 – present: Lecturer, Ton Duc Thang University

3. Research interests

• Statistics, Machine Learning, Deep Learning

B. Publications

1. Papers in international journals

1. T.T. Thach. Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism. Entropy 2025, 27(1), 82.
2. T.T. Thach. A three-component additive Weibull distribution and its reliability implications. Symmetry 2022, 14(7), 1455.
3. T.T. Thach and Radim Bris. An additive Chen-Weibull distribution and its applications in reliability modeling. Quality and Reliability Engineering International 2021; 37: 352-373.
4. T.T. Thach, R. Bris, P. Volf and F.P.A. Coolen. Non-linear failure rate: A Bayes study using Hamiltonian Monte Carlo simulation. International Journal of Approximate Reasoning 2020; 123:55-76.
5. T.T. Thach and R. Bris. Improved New modified Weibull model: A Bayes study using Hamiltonian Monte Carlo. Journal of Risk and Reliability 2020; 234(3): 496-511.

2. Papers in international conferences

1. T.T. Thach, R. Bris. Reparameterized Weibull distribution: A Bayes study using Hamiltonian Monte Carlo. ESREL 2019: 29th European Safety and Reliability Conference, Hannover, Germany.
2. T.T. Thach, R. Bris. Hamiltonian Monte Carlo method for parameter estimation of the additive Weibull distribution, Proceedings of the International Conference on Information and Digital Technologies 2019, June 25-27, pg. 503-509, Zilina, Slovakia, DOI: 10.1109/DT.2019.8813441, Electronic ISBN: 978-1-7281-1401-9, Electronic ISSN: 2575-677X, ©2019 IEEE.
3. T.T. Thach, R. Bris. Non-linear failure rate: A comparison of the Bayesian and frequentist approaches to estimation, Proceedings of International Conference on Mathematics ICM 2018, ITM Web of Conferences 20, paper 03001 (2018), Open Access, ISBN: 978-7598-9058-3, 16 pg. Edited by: Radim Bris, Gyu Whan Chang, Chu Duc Khanh, Mohsen Razzaghi, Krzysztof Stempak, Phan Thanh Toan.
4. T.T. Thach, R. Bris, F. Coolen. Mixture failure rate: A study based on cross-entropy and mcmc method. In: 2017 International Conference on Information and Digital Technologies (IDT), Zilina, 2017, pp. 373-382. Doi: 10.1109/ DT.2017.8024325, Electronic ISBN: 978-1-5090-5689-7, ©2017 IEEE.
5. R. Bris and T.T. Thach. Bayesian approach to estimate the mixture of failure rate model. Applied Mathematics in Engineering and Reliability - Proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability, ICAMER 2016, pp. 9-18. ISBN: 978-113802928-6.