Faculty Profile
Md Khaled Ben Islam
PhD (Griffith University, Australia)
Associate Professor
Department of Computer Science and Engineering
Pabna University of Science and Technology
Pabna, Bangladesh
Contact Information
Total Publications: 15
Education (3)
- Doctor of Philosophy (Ph.D.), Griffith University, Australia
- Master of Science (M.Sc.) in Computer Science and Engineering, Rajshahi University of Engineering and Technology (RUET), Bangladesh
- Bachelor of Science (B.Sc.) in Computer Science and Engineering, Rajshahi University of Engineering and Technology (RUET), Bangladesh
Teaching Experience (2)
- Associate Professor - Assistant Professor - Lecturer at The Computer Science and Engineering Department, Pabna University of Science & Technology, Bangladesh, 2012 - Continuing
- Casual Academic, School of ICT, Griffith University, Australia, 2021 - 2024
Administrative or Other Experience (5)
- Served as a reviewer for reputed journals including Elsevier’s Engineering Applications of Artificial Intelligence, Computers and Electronics in Agriculture, Springer's Environmental Monitoring and Assessment, BMC Bioinformatics, BMC Genomics, and Scientific Reports.
- Program committee member, Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2023 - 2026
- Publicity chair, Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021, PRICAI-2023)
- Software Engineer, NerdDevs Ltd, Dhaka, Bangladesh, 2012 - 2017 (Part-time)
- Software Engineer, Dohatec New Media, Dhaka, Bangladesh, 2011 - 2012
Research Interests (5)
- IoT
- Cyber Security
- Artificial Intelligence
- Environmental Monitoring
- Bioinformatics
Awards & Recognition (3)
- GU International Postgraduate Research Scholarship (Griffith University, Australia), 2020.
- ARC/School of ICT Postgraduate Research Scholarship (Griffith University, Australia), 2020.
- Technical Scholarship for Academic Excellence in Bachelor Program, RUET, Bangladesh, 2007-2010.
Journal Articles (9)
- Md Khaled Ben Islam, M A Hakim Newton, Jarrod Trevathan, and Abdul Sattar (2024), “Lite Approaches for Long-Range Multi-step Water Quality Prediction”, Stochastic Environmental Research and Risk Assessment, 38(10), 3755-3770, (Springer, Q2, IF 3.6).
- Md Khaled Ben Islam, M A Hakim Newton, Julia Rahman, Jarrod Trevathan, and Abdul Sattar (2022), “Long range multi-step water quality forecasting using iterative ensembling”, Engineering Applications of Artificial Intelligence, 114, 105166, (Elsevier, Q1, IF 7.7).
- Julia Rahman, MA Hakim Newton, Md. Khaled Ben Islam, and Abdul Sattar (2022), “Enhancing protein inter-residue real distance prediction by scrutinising deep learning models”, Scientific Reports, 12(1), 1-13, (Springer, Q1, IF 4.3).
- Md Khaled Ben Islam, Julia Rahman, Md. Al Mehedi Hasan, and Shamim Ahmad (2021), “predForm-Site: Formylation Site Prediction by Incorporating multiple features and Resolving Data Imbalance Issue” Computational Biology and Chemistry, 94, 107553, (Elsevier, Q2, IF 3.1).
- Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, Julia Rahman, Md Khaled Ben Islam, and Shamim Ahmad (2021), “predML-site: Predicting multiple lysine ptm sites with optimal feature representation and data imbalance minimization”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, (IEEE, Q2, IF 3.4).
- Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman, and Shamim Ahmad (2021), “predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance”, Plos one, 16(4), e0249396, (PLOS, Q2, IF 3.2).
- Md Niaz Imtiaz, and Md Khaled Ben Islam (2020), "Identifying Significance of Product Features on Customer Satisfaction Recognizing Public Sentiment Polarity: Analysis of Smart Phone Industry Using Machine-Learning Approaches", Applied Artificial Intelligence, pp. 1-17, (Taylor & Francis, Q2, IF 4.3).
- Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman, and Shamim Ahmad (2020), “Citrullination Site Prediction by Incorporating Sequence Coupled Effects into PseAAC and Resolving Data Imbalance Issue”, Current Bioinformatics, Vol. 15, Issue 3, pp. 235 – 245, (Bentham Science, Q2, IF 2.9).
- Julia Rahman, Md Nazrul Islam Mondal, Md Khaled Ben Islam, and Md Al Mehedi Hasan (2016), “Feature Fusion Based SVM Classifier for Protein Subcellular Localization Prediction”, Journal of Integrative Bioinformatics, 13(1):288, (De Gruyter, Q3, IF 2.8).
Conference Proceedings (6)
- Md Khaled Ben Islam, M A Hakim Newton, Jarrod Trevathan, and Abdul Sattar, (2023) Water Quality Monitoring with Artificial Intelligence - A Review on Recent Research, in AI4Environment: The Second Symposium on Artificial Intelligence for the Environment, Jakarta, Indonesia, (PRICAI-2023).
- Md Nazmul Hossain, Md Monirul Islam, Md. Khaled Ben Islam (2021), “Recurrent Neural Network Encoding Decoding Translator based Prediction Protein Function and Functional Annotation”, International Conference on Science & Contemporary Technologies (ICSCT), 5-7 August 2021.
- Ratri Datta, Nitun Kumar Podder, Humayan Kabir Rana, Md. Khaled Ben Islam, Mohammad Ali Moni (2020), “Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancer”, 23rd International Conference on Computer and Information Technology (ICCIT), 19-21 December 2020.
- Utsha Das, Azmain Yakin Srizon, Md. Al Mehedi Hasan, Julia Rahman, and Md. Khaled Ben Islam (2020), “Effective Data Dimentionality Reduction Workflow for High-Dimensional Gene Expression Datasets”, IEEE Region 10 Symposium (TENSYMP 2020), 5-7 June 2020.
- Md. Jahidul Islam, Julia Rahman, and Md. Khaled Ben Islam (2019), “Improving Patient Cohort Identification using Neural Word Embedding with Structured Analysis”, 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 26-28 December 2019.
- Julia Rahman, Md Nazrul Islam Mondal, Md. Khaled Ben Islam, Md Al Mehedi Hasan, and S M Sabbir Amin (2016), “Gram-Positive Bacterial Protein Subcellular Localization Prediction Using Features Fusion Strategy”, Proceedings of the 9th International Conference on Electrical and Computer Engineering, IEEE Explore Article Number 7853913, pp. 291 - 294.
Conducted Courses (6)
- Cyber Security
- Cryptography and Network Security
- Operating Systems
- Database Management Systems
- Structured Programming (with C)
- Programming Principles (with Python)
Graduate Supervision (2)
- Ensemble Learning for Intrusion Detection, Farida Khatun, M.Sc. Engg., Principal Supervisor, Completed in 2020.
- Using Machine Learning for Identifying Influential Smart Phone Features from Customers’ Online Reviews, Niaz Imtiaz, M.Sc. Engg., Principal Supervisor, Completed in 2019.

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