"Book Chapter/Conferences
1. Ahmed, M., Mohamad, A. J., Hassan, M., & Touhid, B. (2025). Air Pollutant (CO) Forecasting: A Hybrid Approach Using Gooseneck Barnacle Optimization and Artificial Neural Networks, 4th IEEE International Conference on AI in Cybersecurity (ICAIC), University of Houston, Texas, USA [Scopus].
2. Ahmed, M., Bitto, A. K., Hassan, M., & Touhid, B. (2025). Predicting Life Expectancy Using Stacking Regressor Models: Analyzing the Impact of GDP and Population Dynamics, 2025 International Conference on Electrical,
Computer and Communication Engineering (ECCE), 13-15 February 2025, CUET, Chattogram-4349, Bangladesh. [Scopus].
3. Ahmed, M., Mohamad, A. J., Rahman, M., Sulaiman, M. H., and Kashem, M. A. (2023) A novel hybrid evolutionary mating algorithm for COVID-19 confirmed cases prediction based on vaccination. International Conference on Next - Generation Computing, IoT and Machine Learning (NCIM 2023), 16 - 17 June 2023, Gazipur, Bangladesh. pp. 1-6. ISBN 979-8-3503-1600-1 [Scopus].
4. Ahmed, M., Sulaiman, M. H., Rahman, M., & Mohamad, A. J. (2023). A Novel Gooseneck Barnacle Optimizer Based Machine Learning Approach for Rainfall Prediction, International Conference on Sustainable Technologies for Industry 5.0 (STI). [Scopus].
5. Ahmed, M., Sulaiman, M. H., Mohamad, A. J., & Rahman, M. (2022, December). A Hybrid Method for Analyzing the Situation Based on Cumulative Fully Vaccinated and Confirmed Cases of COVID-19 in Malaysia. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-6). [Scopus].
6. Ahmed, M., Sulaiman, M. H., Mohamad, A. J., & Rahman, M (2022), An Improved Optimization Algorithm-based Prediction Approach for the Weekly Trend of COVID-19 Considering the Total Vaccination in Malaysia: A Novel Hybrid Machine Learning Approach, International Conference on Trends in Computational and Cognitive Engineering (TCCE-2022), [Scopus].
7. Ahmed, M., Shaha, R., Sarker, K., Mahi, R. B., & Kashem, M. A. (2022, February). Design and Implementation of an Intelligent Dustbin with Garbage Gas Detection for a Hygienic Environment based on IoT. In 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) (pp. 1-7). [Scopus].
8. Ahmed, M., & Kashem, M. A. (2020, December). IoT-based risk level prediction model for maternal health care in the context of Bangladesh. In 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp.1-6). [Scopus].
9. Ahmed, M., Kashem, M. A., Rahman, M., & Khatun, S. (2020). Review and analysis of risk factors of maternal health in remote areas using the Internet of Things (IoT). In InECCE2019: Proceedings of the 5th International Conference on Electrical, Control & Computer Engineering, Kuantan, Pahang, Malaysia, 29th July 2019 (pp. 357-365). [Scopus].
10. Ahmed, M., Rahaman, M. O., Rahman, M., & Kashem, M. A. (2019, December). Analyzing the Quality of Water and Predicting the Suitability for Fish Farming Based on IoT in the Context of Bangladesh. In 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-5). [Scopus].
11. Ahmed, M., Bitto, A. K., Hassan, M. M., & Bhuiyan, T. (2025, February). Predicting Life Expectancy Using Stacking Regressor Models: Analyzing the Impact of GDP and Population Dynamics. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
Dataset
1. Dataset: Maternal health risk data set data set (From MIoT Device)-Kaggle/UCI-Machine Learning.
2. Dataset of Harvard Step Test Results for Assessing Cardiovascular Fitness in Female Cricketers in Bangladesh.
Journals
1. Boby, F. A., Ahmed, M., & Mahmud, I. (2025). Dataset of Harvard Step Test Results for Assessing Cardiovascular Fitness in Female Cricketers in Bangladesh. Data in Brief, 60, 111449.
2. Ahmed, M., Sulaiman, M. H., Hassan, M. M., Rahaman, M. A., & Amin, M. B. (2025). Daily allocation of energy
consumption forecasting of a power distribution company using optimized least squares support vector machine. Results in
Control and Optimization, 100518. [Q2; Scopus and ISI].
3. Ahmed, M., Sulaiman, M. H., Hassan, M. M., & Bhuiyan, T. (2025). Predicting the Classification of Heart Failure
Patients using Optimized Machine Learning Algorithms. IEEE Access. [Q1; Scopus and ISI].
4. Ahmed, M., Sulaiman, M. H., & Mohamad, A. J. (2023). Gooseneck Barnacle Optimization Algorithm: A Novel
Nature Inspired Optimization Theory and Application. Mathematics and Computers in Simulation. [Q1; Scopus and ISI].
5. Ahmed, M., Sulaiman, M. H., Hassan, M. M., Rahaman, M. A., & Abdullah, M. (2024). Selective opposition based
constrained barnacle mating optimization: Theory and applications. Results in Control and Optimization, 100487. [Q2;
Scopus and ISI].
6. Ahmed, M., Sulaiman, M. H., & Mohamad, A. J. (2023). Improved Barnacle Mating Optimizer-Based Least
Square Support Vector Machine to Predict COVID-19 Confirmed Cases with Total Vaccination. Cybernetics and
Information Technologies, 23(1), 125-140. [Q3; Scopus and ISI].
7. Rahman, M., Mehedi Shamrat, F., Kashem, M. A., Akter, M., Chakraborty, S., Ahmed, M., & Mustary, S. (2022).
Internet of things-based electrocardiogram monitoring system using a machine learning algorithm. Int. J. Electr. Comput.
Eng, 12(4), 3739-3751. [Q3; Scopus].
8. Kashem, M. A., Ahmed, M., & Mohammad, N. (2022). Maternal HealthCare Using IoT-Based Integrated Medical
Device: Bangladesh Perspective. Studies in Informatics, Technology and Systems, 1(1), 25-38.
9. Rahman, M., Kashem, M. A., Nayan, A. A., Akter, M., Rabbi, F., Ahmed, M., & Asaduzzaman, M. (2022).
10. Internet of Things (IoT) based ECG system for rural health care. Journal of Advanced Computer Science and Applications
(IJACSA) 12 (6), 8 [Q3; Scopus and ISI]"
