Computer Science and Engineering

Dr. Mohammad Shafiul Alam

Research Interests

• Machine Learning
• Swarm Intelligence
• Evolutionary Algorithm
• Adaptive System

Educational Background

• Ph.D, (Computer Science and Engineering), Bangladesh University of Engineering and Technology
• Master of Science (MSc), (Computer Science and Engineering), Bangladesh University of Engineering and Technology
• Bachelor of Science (BSc), (Computer Science and Engineering), Bangladesh University of Engineering and Technology

Honors and Achievements

Publications

• A Multi-modal Deep Learning Approach for Predicting Dhaka Stock Exchange, 2023
• Transformer-based deep learning model for stock price prediction: A case study on Bangladesh stock market, International Journal of Computational Intelligence and Applications, 2023
• An Overview of Bengali Speech Recognition: Methods, Challenges, and Future Direction, 2023
• Convolutional auto-encoder and independent component analysis based automatic place recognition for moving robot in invariant season condition, Human-Centric Intelligent Systems, 2023
• Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework, 2023
• Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey, IEEE Transactions on Computational Social Systems, 2023
• Covid-19 prediction based on infected cases and deaths of bangladesh using deep transfer learning, 2022
• A hybrid method based on machine learning to predict the stock prices in bangladesh, 2022
• An Approach of Adjusting the Switch Probability based on Dimension Size: A Case Study for Performance Improvement of the Flower Pollination Algorithm, arXiv preprint arXiv:2208.09699, 2022
• A data-driven hybrid optimization based deep network model for short-term residential load forecasting, 2021
• Apriori-backed fuzzy unification and statistical inference in feature reduction: An application in prognosis of autism in toddlers, 2021
• Credit Card Fraud Detection using Data Pre-processing on Imbalanced Data — both Oversampling and Undersampling, International Conference on Computing Advancements (ICCA), 2020
• A Novel Hybrid Swarm Intelligence Algorithm Combining Modified Artificial, 2020
• Hybridization of Evolutionary and Swarm Intelligence Algorithms for Improved Performance: A Case Study with TSP Problem, International Conference on Computing Advancements (ICCA), 2020
• Adaptive Flower Pollination Algorithm: A Novel Approach for Function Optimization Problem, Communications on Applied Electronics, 2019
• Employing Machine Learning Techniques on Sentiment Analysis of Google Play Store Bangla Reviews, International Conference on Computer and Information Technology (ICCIT), 2019
• Tuning Exploitation and Exploration for Flower Pollination Algorithm: A Case Study on Function Optimization Problem, International Journal of Applied Information Systems, 2019
• A Novel Hybrid Swarm Intelligence Algorithm Combining Modified Artificial Bee Colony and Firefly Algorithms: Performance Evaluation on Continuous Function Optimization Problems, International Joint Conference on Computational Intelligence (IJCCI), 2019
• Parameter optimization of Cuckoo Search Algorithm for Multi Dimensional Function Optimization Problem, Communications on Applied Electronics, 2018
• Flower Pollination Algorithm with Linearly Varying Exploration: A Novel Approach for Continuous Function Optimization Problem, Communications on Applied Electronics, 2018
• Self Adaptive Hybrid Model Between Artificial Bee Colony and Differential Evolution Algorithms for Function Optimization Problem, International Conference on Electrical, Computer and Communication Engineering (ECCE), 2017
• A novel comparative study between dual population genetic algorithm and artificial bee colony algorithm for function optimization, 2016
• Explorative artificial bee colony algorithm: A novel swarm intelligence based algorithm for continuous function optimization, International Journal of Science and Research (IJSR), 2015
• On the Performance of Explorative Artificial Bee Colony Algorithm for Numeric Function Optimization, International Journal of Applied Information Systems (IJAIS)--ISSN, 2015
• Comparison between fast evolutionary programming and artificial bee colony algorithm on numeric function optimization problems, 2015
• A comparative study of flower pollination algorithm and bat algorithm on continuous optimization problems, International Journal of Soft Computing and Engineering, 2014
• Bat algorithm with self-adaptive mutation: a comparative study on numerical optimization problems, International Journal of Computer Applications, 2014
• A novel adaptive bat algorithm to control explorations and exploitations for continuous optimization problems, International Journal of Computer Applications, 2014
• Ensemble approach for improving generalization ability of neural networks, 2013
• Artificial bee colony algorithm with improved explorations for numerical function optimization, 2012
• Diversity Guided Evolutionary Programming: A novel approach for continuous optimization, Applied soft computing, 2012
• Artificial Bee Colony algorithm with Self-Adaptive Mutation: A novel approach for numeric optimization, 2011
• Recurring two-stage evolutionary programming: A novel approach for numeric optimization, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2011
• Self-adaptation of mutation step size in artificial bee colony algorithm for continuous function optimization, 2010
• A two-layer hierarchical permission based mutual exclusion algorithm, 2009
• A scheme for the solutions of the h-out of-k mutual exclusion problems using k-arbiters, 2007