Computer Science and Engineering

Mr. Md. Khairul Hasan

Research Interests

• Computational Intelligence
• Machine Learning
• Blockchain

Educational Background

• Master of Science (MSc), (CSE), United International University
• Bachelor of Science (BSc), (CSE), Ahsanullah University of Science and Technology

Honors and Achievements

• Dean's List of Honor, Ahsanullah University of Science and Technology, 2000

Publications

1. The Impact of Technology-Enabled Learning Implementation at Ahsanullah University of Science and Technology, Online Institutional Repository for Learning Resources and Publications, Commonwealth of Learning, 2021, Commonwealth of Learning.
2. An Effective Artificial Neural Network based Power Load Prediction Algorithm, International Journal of Computer Applications, 2019. URL
3. Neural Network on the Performance of Bangla Automatic Speech Recognition, International Journal of Applied Information Systems, 2019. URL
4. Architecture and Weight Optimization of ANN Using Sensitive Analysis and Adaptive Particle Swarm Optimization, International Journal of Computer Science and Network Security, 2010. URL
5. An Efficient Hybrid Model to Load Forecasting, International Journal of Computer Science and Network Security, 2010. URL

1. Blended Learning Implementation at Ahsanullah University of Science and Technology – an Academic Quality Enhancer and a Savior During the Covid-19 Pandemic, Pan-Commonwealth Forum on Open Learning (PCF10), Canada, 2022.
2. A Comparative Analysis of Different Approach for Basic Emotions Recognition from Speech, International Conference on Electronics, Communications and Information Technology (ICECIT), 2021. URL
3. Document Level Emotion Detection from Bangla Text Using Machine Learning Techniques, 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2021, IEEE. URL
4. A Neural Network Based Approach for Recognition of Basic Emotions from Speech, 2020 IEEE Region 10 Symposium (TENSYMP), 2020, IEEE. URL
5. STLF Using Neural Networks and Fuzzy for Anomalous Load Scenario – A Case Study for Hajj, 6th International Conference on Electrical and Computer Engineering, 2010, IEEE. URL
6. Explore the Optimality Performances of Particle Swarm Optimization and its Variants, 3rd International Conference on Data Management, 2010.
7. Solving Short Term Load Forecasting using Neural Network and Particle Swarm Optimization, 3rd International Conference on Data Management, 2010.
8. Computational Intelligence Approach to Load Forecasting - a Practical Application for the Desert of Saudi Arabia, 12th International Conference on Computers and Information Technology, 2009, IEEE. URL