Computer Science Faculty & Staff

Biography

Dr. Md Ochiuddin Miah is an Assistant Professor of Computer Science in the School of Engineering and Applied Sciences at Western Kentucky University. His research focuses on developing intelligent, human-centered technologies that support education, collaboration, rehabilitation, and real-world decision-making. 

His work investigates how human personality, intention, and multimodal behaviors, including gaze, gestures, speech, and interaction patterns, can improve the efficiency, personalization, and naturalness of Human-AI Interaction. He is particularly interested in designing Human-AI Interaction systems that use artificial intelligence, deep learning, large language models, AR/VR, and multimodal computing to support learning, collaboration, and educational technologies.

Google Scholar https://scholar.google.com/citations?user=Mzlg0WQAAAAJ&hl=en
ORCID https://orcid.org/0009-0008-3562-1807

Education

Ph.D., Computer Science, North Dakota State University, 2025.
M.S., Computer Science, North Dakota State University, 2024.
B.S., Computer Science and Engineering, United International University, 2018.

Assistant Professor, Western Kentucky University, 2026 – Present
Assistant Professor, Dickinson State University, 2025 – 2026
Graduate Research Assistant, Upper Great Plains Transportation Institute, 2023-2025
Senior Software Engineer, Brain Station 23, 2021- 2022
Software Engineer, Bangladesh Extension Education Services, 2018- 2021

• Human-Computer Interaction
• Human-AI Interaction
• Multimodal LLMs
• AI-Enhanced Education
• Virtual & Augmented Reality
• Usable Security
• Brain-Computer Interfaces

Journal Publications

1. Miah, M. O., Li, J., Wang, W., & Kong, J. (2026). Enhancing User Participation in Meetings Based on Analysis of Personalized Behavioral Patterns. International Journal of Human-Computer Interaction, Taylor & Francis, IF-6.1.
2. Miah, M. O., & Kong, J. (2025). Augmented Reality and Cross-Device Interaction for Seamless Integration of Physical and Digital Scientific Papers. International Journal of Human-Computer Interaction, Taylor & Francis, IF-6.1.
3. Miah, M. O., Habiba, U., & Kabir, M. F. (2023). ODL-BCI: Optimal Deep Learning Model for Brain-Computer Interface to Classify Students’ Confusion via Hyperparameter Tuning. Brain Disorders, Elsevier.
4. Miah, M. O., Muhammod, R., Al Mamun, K. A., Farid, D. M., Kumar, S., Sharma, A., & Dehzangi, A. (2021). CluSem: Accurate Clustering-based Ensemble Method to Predict Motor Imagery Tasks from Multi-channel EEG Data. Journal of Neuroscience Methods, Elsevier, IF-2.5.
5. Wang, W., Miah, M. O., & Kong, J. (2026). Pressure-based Multi-Factor VR Authentication. Computers & Security Journal, Elsevier, IF-6.8.

Book Chapter

• Miah, M. O., Hassan, A. M., Al Mamun, K. A., & Farid, D. M. (2020). Brain-Machine Interface for Developing Virtual-Ball Movement Controlling Game. In Proceedings of the International Joint Conference on Computational Intelligence, Algorithms for Intelligent Systems, Springer Nature.

Conference Publications

1. Soetan, A., Naqash, T., Miah, M. O. (2026). Balancing Data Minimization and Model Recall: An Inferential Study of PCA-Transformed vs Human-Readable Transactional Data. International Conference on Electrical, Computer, Communications and Mechatronics Engineering, Bali.
2. Namani, S., Amin, M. A., Miah, M. O., Khan, A. A. A., Kabir, M. F., & Ullah, M. H. (2024). Real-Time Energy Price Forecasting using BiLSTM-Autoencoder Deep Learning Model. IEEE Energy Conversion Congress and Expo, Phoenix, Arizona.
3. Miah, M. O., Khan, S. S., Shatabda, S., Al Mamun, K. A., & Farid, D. M. (2019). Real-Time EEG Classification of Voluntary Hand Movement Directions using Brain-Machine Interface. IEEE Region 10 Symposium, Kolkata, India.
4. Miah, M. O., Khan, S. S., Shatabda, S., & Farid, D. M. (2019). 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, Dhaka, Bangladesh.
5. Miah, M. O., Hassan, A. M., Al Mamun, K. A., & Farid, D. M. (2018). Brain-Machine Interface for Developing Virtual-Ball Movement Controlling Game. International Joint Conference on Computational Intelligence, Dhaka, Bangladesh.

Professional Service

• Program Committee Member— Big Data & ML in Healthcare Workshop, IEEE International Conference on Big Data, 2025
•  External Reviewer—Int. J. Hum. Comput. Stud., ICECET 2026, IEEE BigData 2026, ECCE 2025