Pabna University of Science and Technology

Faculty Profile

Dr. Md. Niaz Imtiaz

Ph.D (TMU, Canada)

Assistant Professor

Department of Computer Science and Engineering

Pabna University of Science and Technology

Pabna, Bangladesh

Contact Information

+8801334981050 (Personal)

niaz.cse@pust.ac.bd (Office)

imtiaz.cse.buet@gmail.com (Personal)

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Total Publications: 11

Total Publications (11)

10
1

Education (3)

  • Doctor of Philosophy (Ph.D) in Electrical and Computer Engineering, Toronto Metropolitan University, Toronto, Canada
  • Master of Science (M.Sc. Engg.) in Computer Science and Engineering, Pabna University of Science and Technology
  • Bachelor of Science (B.Sc. Engg.) in Computer Science and Engineering, Bangladesh University of Engineering & Technology (BUET)

Teaching Experience (5)

  • Assistant Professor, Department of Computer Science and Engineering, Pabna University of Science and Technology (25 November, 2016 - Present)
  • Lecturer, Department of Computer Science and Engineering, Pabna University of Science and Technology (25 November, 2014 - 24 November, 2016)
  • Lecturer, Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University (26 May, 2013 - 24 November, 2014)
  • Lecturer, Department of Computer Science and Engineering, Daffodil International University (18 May, 2013 - 25 May, 2013)
  • Lecturer, Department of Computer Science and Engineering, University of Information Technology and Sciences (02 May, 2012 - 28 January, 2013)

Administrative or Other Experience (1)

  • Assistant Director, Student Advisor Office, Pabna University of Science and Technology (October 2015- September 2018)

Research Interests (9)

  • Physiological Signal Processing
  • AI in Healthcare
  • Domain Adaptation
  • Explainable AI
  • Hyperspectral Imaging
  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Time Series Data Analysis

External Affiliation (10)

  • Reviewer for Digital Signal Processing, Elsevier
  • Reviewer for Expert Systems with Applications, Elsevier
  • Reviewer for Neurocomputing, Elsevier
  • Reviewer for IEEE Journal of Biomedical and Health Informatics
  • Reviewer for Computer Methods in Biomechanics and Biomedical Engineering, Taylor and Francis
  • Reviewer for Computers in Biology and Medicine, Elsevier
  • Reviewer for Neural Networks, Elsevier
  • Reviewer for the International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII 2026) (IEEE)
  • Intern (Mitacs Accelerate Program), Myant Inc., Toronto, Canada
  • Graduate Research Assistant, Toronto Metropolitan University, Canada

Awards & Recognition (13)

  • Toronto Met Graduate Development Award (Multiple), 2022–2025, Toronto Metropolitan University, Canada
  • University Research Award (Multiple), 2022–2025, Toronto Metropolitan University, Canada
  • Certificate on Neural Networks and Deep Learning
  • Certificate on Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Certificate on Structuring Machine Learning Projects
  • Certificate on Convolutional Neural Networks
  • Certificate on Sequence Models
  • Certificate on Introduction to Data Science in Python
  • Certificate on AI For Everyone
  • Certificate on Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
  • Certificate on Natural Language Processing in TensorFlow
  • Certificate on Natural Language Processing with Classification and Vector Spaces
  • Certificate on Natural Language Processing with Probabilistic Models

Journal Articles (10)

  • Imtiaz, M. N., & Khan, N. (2025). Enhanced cross-dataset electroencephalogram-based emotion recognition using unsupervised domain adaptation. Computers in Biology and Medicine, 184, 109394. (Elsevier, Q1, IF: 6.5)
  • Imtiaz, M. N., & Khan, N. (2024). Cross-database and cross-channel electrocardiogram arrhythmia heartbeat classification based on unsupervised domain adaptation. Expert Systems with Applications, 244, 122960. (Elsevier, Q1, IF: 9.4)
  • Imtiaz, M. N., & Khan, N. (2022, December). Pan-Tompkins++: A robust approach to detect R-peaks in ECG signals. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2905-2912). IEEE.
  • Imtiaz, M. N., Ahmed, M. T., & Hasan, M. R. (2022). Identifying Biased Reviews: An Analysis on Amazon Electronic Products. International Journal of Software Innovation (IJSI), 10(1), 1-10. (IGI Global, Q3, IF: 0.6)
  • Imtiaz, N., Ahmed, T., & Paul, A. (2022). Incentivized comment detection with sentiment analysis on hotel reviews. Asia-Pacific Journal of Science and Technology, 27(3), 1-11. (Khon Kaen University, Thailand, Q4)
  • Imtiaz, M. N., & Ben Islam, M. K. (2020). Identifying significance of product features on customer satisfaction recognizing public sentiment polarity: Analysis of smart phone industry using machine-learning approaches. Applied Artificial Intelligence, 34(11), 832-848. (Taylor and Francis, Q1, IF: 4.3)
  • Ahmed, M. T., & Imtiaz, M. N. (2020). Prediction of seminal quality based on naïve Bayes approach. Pabna University of Science and Technology Studies, 4(2), 7–10.
  • Islam, M. Z., Khatun, M. M., Chyon, M. S. A., Anzoom, R., Imtiaz, M. N., Iqbal, S. H. S., Azam, M. S., Rahim, M. A., Ahmed, M. W., & Ahmed, M. T. (2026). Comparative analysis of explainable machine learning integrated with hyperspectral imaging for early prediction of wheat yield. Talanta, 308, 129955. (Elsevier, Q1, IF: 6.7)
  • Khatun, M. M., Hasan, M. A., Chyon, M. S. A., Anzoom, R., Ahmed, M. W., Azam, M. S., Iqbal, S. H. S., Rahim, M. A., Imtiaz, M. N., & Ahmed, M. T. (2026). Estimating soil organic carbon by integrating mid-infrared spectroscopy with explainable machine learning. Results in Chemistry, 26, 103386. (Elsevier, Q2, IF: 5.8)
  • Khatun, M. M., Islam, M. Z., Imtiaz, M. N., Ahmed, M. W., & Ahmed, M. T. (2026). Explainable AI-guided hyperspectral feature selection in fruit quality assessment and spatial visualization. Journal of Food Science, 91(3), e70976. (Wiley, Q1, IF: 3.4)

Conference Proceedings (1)

  • Imtiaz, M. N., & Khan, N. (2022, December). Pan-Tompkins++: A robust approach to detect R-peaks in ECG signals. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2905-2912). IEEE.

Conducted Courses (8)

  • Algorithms
  • Data Structure and Algorithm
  • Structured Programming Language
  • Object Oriented Programming
  • Computer Fundamentals
  • Digital Signal Processing
  • Discrete Mathematics
  • Numerical Methods

Graduate Supervision (1)

  • I have been supervising undergraduate thesis students since 2012.

Conference and Seminar Attended (2)

  • Session Chair, Artificial Intelligence and Robotics session, International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII 2026) (IEEE)
  • Presented a paper at the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), USA.

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