Md. Manjur Ahmed
University of Barishal, University of Tsukuba, Universiti Malaysia Pahang
About
Md Manjur Ahmed is currently an Associate Professor with the University of Barishal, Barishal, Bangladesh. Before that he was Assistant Professor in Universiti Malaysia Pahang (UMP) from July'2016 to Dec'2018. He received the B.Sc.Eng. degree in computer science and engineering from the Khulna University of Engineering and Technology (KUET), Bangladesh, in 2009, and the Ph.D. degree in computational intelligence from Universiti Sains Malaysia, Penang, Malaysia, in 2016. Related to the PhD research, he has achieved two research awards as the winner for “SANGGAR SANJUNG AWARD” for high impact journal publication (Hall of Fame Award), Universiti Sains Malaysia, in the year 2015 and 2018, respectively.
He has achieved several national and international awards for research and teaching.
His current research interests include data stream analytics, clustering and classification, fuzzy information granule, imbalance and incomplete information, and computational intelligence in big data.
Research Impact:
i) Impact of Published Journals --> 14 (fourteen) out of 16 Publications in Quartile 1 (Q1) Journals as a corresponding author.
ii) Journal Rankings: 50% of research work has been published in Q1 since last 10 years (Based on Ex-citation tool)
Research Interests:
Data Stream clustering and classification, Fuzzy Information Granule, Imbalance and Incomplete information, and Computational Intelligence in Big Data.
Employment
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University of Tsukuba Researcher2022 - 2022
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University of Barishal Associate Professor2018 - Present
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Universiti Malaysia Pahang Assistant Professor2016 - 2019
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (43)
- Authorship-Aware Fake News Detection Using Hierarchical Meta-Learning with Transformer-Based Text Features Save
- TSOF: A Tree-Based Self-Organizing Fuzzy Method for Streaming Data Classification in Alzheimer's Disease Detection Save
- Human Activity Recognition with Semi-Supervised Generative Adversarial Network Save
- Autonomic active learning strategy using cluster-based ensemble classifier for concept drifts in imbalanced data stream Save
- Buffer-based adaptive fuzzy classifier Save
- Dynamic Micro-cluster-Based Streaming Data Clustering Method for Anomaly Detection Save
- Multiclass Labeling of Imbalanced Data Stream with Concept Drift Using Active Learning Save
- Missing information in imbalanced data stream: fuzzy adaptive imputation approach Save
- A Bibliometric Statistical Analysis of the Fuzzy Inference System - Based Classifiers Save
- Online clustering technique with adaptable threshold and radius for evolving data stream Save