Mohammad Sultan Mahmud received the Ph.D. degree from Shenzhen University, China, in 2023 and the master's degree from King Mongkut's University of Technology North Bangkok, Thailand, in 2014. Currently, Dr. Sultan is an Associate Researcher with the College of Computer Science and Software Engineering, Shenzhen University, China. He has published research articles in esteemed journals such as Information Fusion, IEEE Transactions on Big Data, Big Data Mining and Analytics, and the Journal of Big Data. He was a recipient of several awards or honours, notable among which are the Guangdong Government Outstanding International Student Scholarship in 2022 and 2023, the Excellent Paper Award 2021 Big Data Mining and Analytics, the Shenzhen Universiade International Student Scholarship in 2018, and the Outstanding Doctoral Student of Shenzhen University in 2017. His current research focuses on big data mining, distributed and parallel computing, and ensemble learning.

Selected Publications:

[1] M.S. Mahmud, J.Z. Huang, and S. García, Clustering approximation via a fusion of multiple random samples. Information Fusion, vol. 101, 2023. https://doi.org/10.1016/j.inffus.2023.101986.

[2] M.S. Mahmud, J.Z. Huang, R. Ruby, A. Ngueilbaye, and K. Wu, Approximate clustering ensemble method for big data. IEEE Transaction on Big Data, vol. 9(4), pp 1142-1155, 2023. https://doi.org/10.1109/TBDATA.2023.3255003. 

[3] M.S. Mahmud, J.Z. Huang, R. Ruby, and K. Wu, An ensemble method for estimating the number of clusters in a big data set using multiple random samples. Journal of Big Data, vol. 10(1), pp 1-33, 2023. https://doi.org/10.1186/s40537-023-00709-4. 

[4] K. Sadatdiynov, L. Cui, L. Zhang, J.Z. Huang, S. Salloum, and M.S. Mahmud, A review of optimization methods for computation offloading in edge computing networks, Digital Communications and Networks, vol. 9(2), pp 450-461, 2022. https://doi.org/10.1016/j.dcan.2022.03.003. 

[5] M.S. Mahmud, J.Z. Huang, X. Fu, R. Ruby, and K. Wu, An unsupervised adaptation for high-dimensional with limited-sample data classification using variational autoencoder. Computing and Informatics, vol. 4(1), pp 1-28, 2021. https://doi.org/10.31577/cai_2021_1_1. 

[6]  M.S. Mahmud, J.Z. Huang, S. Salloum, T.Z. Emara, and K. Sadatdiynov, A survey of data partitioning and sampling methods to support big data analysis, Big Data Mining and Analytics, vol. 3(2), pp 85-101, 2020. https://doi.org/10.26599/BDMA.2019.9020015. 

[7] M.S. Mahmud, J.Z. Huang, and X. Fu, Variational autoencoder based dimensionality reduction for high-dimensional small-sample data classification, International Journal of Computational Intelligence and Applications, vol. 19(1), pp 1-19, 2020. https://doi.org/10.1142/S1469026820500029.

[8] M.S. Mahmud and X. Fu, Unsupervised classification of high-dimension and low-sample data with variational autoencoder based dimensionality reduction. In 4th International Conference on Advanced Robotics and Mechatronics (ICARM2019), Osaka, Japan, 03-05 July 2019. https://doi.org/10.1109/ICARM.2019.8834333.

[9] M.S. Mahmud, X. Fu, J.Z. Huang, and M.A. Masud, High-dimensional limited-sample biomedical data classification using variational autoencoder. In 16th Australasian Conference on Data Mining (AusDM2018), NSW, Australia, November 28-30, 2018. https://doi.org/10.1007/978-981-13-6661-1_3.

[10] M.S. Mahmud, M.S. Islam, and M.A. Rahman, Smart fire detection system with automatic early notifications using machine learning, International Journal of Computational Intelligence and Applications, vol.16(02), pp 1-17, 2017. https://doi.org/10.1142/S1469026817500092

[11] M.S. Mahmud and P. Meesad, An innovative recurrent error-based neuro-fuzzy system with momentum for stock price prediction, Soft Computing, vol. 20(10), pp 4173-4191, 2016. DOI: https://doi.org/10.1007/s00500-015-1752-z.

[12] M.S. Mahmud, P. Meesad, and S. Sodsee, An evaluation of computational intelligence in credit card fraud detection, In 20th International Computer Science & Engineering Conference (ICSEC2016), Changmai, Thailand, 14-17 December 2016. https://doi.org/10.1109/ICSEC.2016.7859947.

[13] F Ferdous, M.S. Mahmud, Intelligent traffic monitoring system using VANET infrastructure and ant colony optimization, In 5th International Conference on Informatics, Electronics and Vision (ICIEV), 13-14 May 2016, Dhaka, Bangladesh. https://doi.org/10.1109/ICIEV.2016.7760025.

[14] M.S. Mahmud, P. Meesad, Time series stock price prediction using recurrent error-based neuro-fuzzy system with momentum, In International Electrical Engineering Congress (iEECON2014), Chonburi, Thailand, 19-21 March 2014. https://doi.org/10.1109/iEECON.2014.6925866.