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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Computer Science and Engineering




Dr. Mohammad Shafiul Alam



Designation: Professor

Email: shafiul.cse@aust.edu

Office Extension: 510

Room No: 7A01/F



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