Journal Publications

• Md. Ochiuddin Miah et al. “CluSem: Accurate Clustering-based Ensemble Method to Predict Motor Imagery Tasks from Multi-channel EEG Data”, Journal of Neuroscience Methods, Elsevier, Impact Factor: 2.785, link.

Book Chapters

• Md. Ochiuddin Miah et al. “Brain-Machine Interface for Developing Virtual-Ball Movement Controlling Game,” Proceedings of International Joint Conference on Computational Intelligence, Algorithms for Intelligent Systems (AIS), Springer Nature, Singapore, link.

Conference Publications

• Md. Ochiuddin Miah et al. “Real-Time EEG Classification of Voluntary Hand Movement Directions using Brain-Machine Interface,” The IEEE Region 10 Symposium (TENSYMP 2019) Symposium Theme: Technological Innovation for Humanity, 7-9 June 2019, Kolkata, India, link.

• Md. Ochiuddin Miah et al. “Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests,” International Conference on Advances in Science, Engineering & Robotics Technology (ICASERT 2019), May 3-5, 2019, Dhaka, Bangladesh, link.

• Md. Ochiuddin Miah et al. “Brain-Machine Interface for Developing Virtual-Ball Movement Controlling Game,” 2018 International Joint Conference on Computational Intelligence (IJCCI 2018), December 14-15, 2018, Dhaka, Bangladesh, link.

Undergraduate Thesis

• The title of my thesis is “Brain-Machine Interface” whose purpose is to explore BMI techniques and developed a system that can distinguish human thoughts. We developed an interactive game that can operate through brain signals without physical interaction with the computer. Supervisor: Dr. Khondaker Abdullah-Al-Mamun, Professor, CSE, UIU. (mamun@cse.uiu.ac.bd), link.

See more in Google Scholar & ResearchGate