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Noakhali Science and Technology University

Phone: 02334496522 Fax:02334496523 [email protected]

Department of Information and Communication Engineering

Academic Profile of Ishtiaq Ahammad

Ishtiaq Ahammad

About Ishtiaq Ahammad

Publications

Journal Article
[1] Ahammad, I., Khan, A. R., & Salehin, Z.-U. (2021). QoS Performance Enhancement Policy through Combining Fog and SDN. Simulation Modelling Practice and Theory, 102292. https://doi.org/10.1016/j.simpat.2021.102292 ELSEVIER. (Scopus and SCIE Indexed) (Impact Factor: 4.199)
[2] Ahammad, I., Khan, M.A.R. & Salehin, Z. Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use Cases. SN COMPUT. SCI. 2, 159 (2021). https://doi.org/10.1007/s42979-021-00521-y SPRINGER. (Scopus Indexed)
[3] Ahammad, I., Khan, M. A., Salehin, Z. U., Uddin, M., & Soheli, S. J. (2021). Improvement of QoS in an IoT Ecosystem by Integrating Fog Computing and SDN. International Journal of Cloud Applications and Computing (IJCAC), 11(2), 48-66. https://doi.org/10.4018/IJCAC.2021040104 IGI GLOBAL. (Scopus and ESCI Indexed)
[4] Ahammad, I., Khan, A. R., & Salehin, Z. U. (2021). A Review on Cloud, Fog, Roof, and Dew Computing: IoT Perspective. International Journal of Cloud Applications and Computing (IJCAC), 11(4), 14-41. https://doi.org/10.4018/IJCAC.2021100102 IGI GLOBAL. (Scopus and ESCI Indexed)
[5] Ahammad, I., Khan, M. A., & Salehin, Z. (2021). Advancement of IoT System QoS by Integrating Cloud, Fog, Roof, and Dew Computing Assisted by SDN: Basic Framework Architecture and Simulation. International Journal of Ambient Computing and Intelligence (IJACI), 12(4), 132-153. http://doi.org/10.4018/IJACI.2021100108 IGI GLOBAL. (Scopus Indexed)
[6] Ahammad, I. Fog Computing Complete Review: Concepts, Trends, Architectures, Technologies, Simulators, Security Issues, Applications, and Open Research Fields. SN COMPUT. SCI. 4, 765 (2023). https://doi.org/10.1007/s42979-023-02235-9 SPRINGER. (Scopus Indexed)
[7] Khan, M.A.R., Akter, J., Ahammad, I., Ejaz, S., & Khan, T.Z. Dengue outbreaks prediction in Bangladesh perspective using distinct multilayer perceptron NN and decision tree. Health Inf Sci Syst 10, 32 (2022). https://doi.org/10.1007/s13755-022-00202-x SPRINGER. (Scopus and SCIE Indexed) (Impact Factor: 5.017)
[8] Hemal, S. H., Khan, M. A. R., Ahammad, I., Rahman, M., Khan, M. A. S. D., & Ejaz, S. (2024). Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective. Social Network Analysis and Mining, 14(1), 66. https://doi.org/10.1007/s13278-024-01234-9 SPRINGER. (Scopus and SCIE Indexed) (Impact Factor: 2.3)
[9] M. S. Siddique, M. A. R. Khan, I. Ahammad, N. Nath, M. N. Hasan, and M. M. Rahman, "An Intelligent Intrusion Detection System for Cyber-Physical Systems Using GAN-LSTM Networks," Franklin Open, vol. 11, p. 100281, Jun. 2025. https://doi.org/10.1016/j.fraope.2025.100281 ELSEVIER. (Scopus Indexed)
[10] Khan, M.A.R., Afrin, F., Prity, F.S. Ahammad, I., Fatema, S., Prosad, R., Hasan, M.K., Uddin, M. et al. An effective approach for early liver disease prediction and sensitivity analysis. Iran J Comput Sci (2023). https://doi.org/10.1007/s42044-023-00138-9 SPRINGER. (Scopus Indexed)
[11] Khan, M.A. R, Uzzaman, M.F., Ahammad, I., Prosad, R., Salehin, Z.U., Khan, T.Z., Ejaz, M.S., & Uddin, M. Stock market prediction in Bangladesh perspective using artificial neural network. International Journal of Advanced Technology and Engineering Exploration. 2022; 9(95):1397-1427. https://doi.org/10.19101/IJATEE.2021.875852 (Scopus Indexed)
[12] Ahammad, I., Sarkar, W. A., Meem, F. A., Ferdus, J., Ahmed, M. K., Rahman, M. R., Sultana, R., Islam, M.S. (2024). Advancing Stock Market Predictions with Time Series Analysis Including LSTM and ARIMA. Cloud Computing and Data Science, 226-241. https://doi.org/10.37256/ccds.5220244470
[13] M. K. Rahman, M. A. R. Khan, I. Ahammad, and J. R. Das, "Comparative Evaluation of Machine Learning Models for Stroke Prediction in Clinical Settings," Cloud Computing and Data Science, vol. 6, no. 2, May 2025. https://doi.org/10.37256/ccds.6220256976
[14] Robel, M., Khan, M. A. R., Ahammad, I., Alam, M. M., & Hasan, K. (2024). Cricket players selection for national team and franchise league using machine learning algorithms. Cloud Computing and Data Science, 108-139. https://doi.org/10.37256/ccds.5120243741
[15] Hossain MA, Ahammad I, Ahmed MK, Ahmed MI. Prediction of the Computer Science Department’s Educational Performance Through Machine Learning Model by Analyzing Students’ Academic Statements. Artificial Intelligence Evolution. 2023;4(1):70-87. https://doi.org/10.37256/aie.4120232569
[16] Ahammad, I., Khan, M., Rahman, M., Khan, T., Nath, N. (2020). Giga-scale integration system-on-a-chip design: challenges and noteworthy solutions. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 741–746. https://doi.org/10.35940/ijrte.F7225.038620
[17] Hasan, M., Khan, M., Ahammad, I., Uddin, M. and Khan, T. (2020). Digital Allowance Estimation Technique. International Journal of Recent Technology and Engineering (IJRTE), 8(5), 4633-4639. https://www.ijrte.org/portfolio-item/E4944018520/
[18] Prosad, R., Khan, M. A. R., & Ahammad, I. (2022). Design of Class Routine and Exam Hall Invigilation System based on Genetic Algorithm and Greedy Approach. Asian Journal of Research in Computer Science, 13(3), 28-44. https://doi.org/10.9734/ajrcos/2022/v13i330316
[19] Rahman, K., Khan, M. A. R., & Ahammad, I. (2022). Online Support for Education, Medication, Agriculture and Relief Work at COVID-19 Pandemic Time. Asian Journal of Research in Computer Science, 13(4), 65-85. https://doi.org/10.9734/ajrcos/2022/v13i430322
Conference Paper
[1] Bithi, M., Hossain, M. A., Ahmed, M. K., Sultana, R., Ahammad, I., & Islam, M. S. (2024, May). Enhanced DDoS Detection in Software Defined Networking Using Ensemble-Based Machine Learning. In 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) (pp. 1032-1037). IEEE. https://doi.org/10.1109/ICEEICT62016.2024.10534483 (Scopus and WoS Indexed)
[2] Ahammad, I., Mukta, T.A., Ahmed, M. K., Hossain, M. A., Rohman, M.R., & Momo, M.M. (2024, November). Parkinson’s Disease Detection using ML in the Context of Overfitting Issue. 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2024, pp. 149-152. IEEE. https://doi.org/10.1109/BECITHCON64160.2024.10962721 (Scopus and WoS Indexed)

Experiences and Activities