基本信息
views: 28

Bio
Mohammad Sultan Mahmud (Senior Member, IEEE) received the PhD 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. Mahmud is an Associate Researcher with the College of Computer Science and Software Engineering, Shenzhen University, China. He is one of the pioneers in the distributed clustering ensemble of big data research. Dr. Mahmud 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 has organized a special issue on Mixture of Experts (MoE) and Ensemble Learning for Big Data in Information Fusion (Elsevier). 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, ensemble learning, and mixture of experts.
Research Interests
Papers共 26 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
PATTERN RECOGNITION (2025)
Journal of Engineering Advancementspp.1-8, (2024)
Artificial Intelligence for Blockchain and Cybersecurity Powered IoT Applicationspp.209-225, (2024)
JURNAL KEJURUTERAANno. 2 (2024): 525-532
IEEE TRANSACTIONS ON BIG DATAno. 4 (2023): 1142-1155
Load More
Author Statistics
#Papers: 26
#Citation: 340
H-Index: 7
G-Index: 18
Sociability: 4
Diversity: 2
Activity: 13
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn