Kabir, M. F. (PI), Imanpour, S., (Co-PI), Title: Harnessing AI to Address Shortcomings in Access to Care and Improve Health Outcomes for All, Type: External- NIH’s AIM-AHEAD program, Amount: $100K (May 2025 - April 2026).
Kabir, M. F. (PI from Penn State Harrisburg), Brearly, T. W. (PI from College of Medicine, Penn State), Title: Identifying probable neurologic diagnosis using interpretable machine learning techniques, Type: Collaborative - College of Medicine and Pennsylvania State University Harrisburg, Amount: $10000.00 (June 2024 - May 2025).
Imanpour, S. (PI), Kabir, M. F. (Co-PI), Title: The application of machine learning algorithms in predicting the cost associated with hip fractures among older adults using nationally represented databases, Type: Internal- Penn State Harrisburg’s Office of Research and Outreach, Amount: $15,323.00, (July 2024 - June 2025).
Kabir, M. F. (PI), Dougherty, J. (Co-PI), Title: Effectiveness of Artificial Intelligence Algorithms for Common Insect Bite Detection across Diverse Skin Types. Type: Internal - Penn State Research Experiences for Undergraduates at Harrisburg Program. Amount: $2,000.00 (December 2024 – May 2025).
Kabir, M. F. (PI), Hassan, M. R. (Co-PI), Title: Predicting Oral Activity Outcome of Children with Cerebral Palsy using Deep Neural Networks, Type: Internal - Creative Research and Scholarly (CRS) Grant Program at Penn State Harrisburg, Amount: $6,000.00 (December 2024 – June 2025).
Islam, A., Rahman, M. M., Kabir, M. F., & Chaudhry, B. M. (2021). A Health Service Delivery Relational Agent for the COVID-19 Pandemic. DESRIST 2021: The Next Wave of Sociotechnical Design (pp. 34-39). Springer, Cham.
Kabir, M. F., & Ludwig, S. A. (2022). Analysis of Breast Cancer Risk Factors Data: Association Rule Mining based on Ethnic Groups and Classification using Super Learning. In S. De, R. Das, S. Bhattacharyya and U. Maulik (Eds.), Book Title: Applied Smart Health Care Informatics: A Computational Intelligence Perspective (pp. 20). UK: Publisher: John Wiley & Sons, Ltd.
Rahman S M Monzurur, Kabir Md Faisal, R Mushfiqur. Integrated Data Mining and Business Intelligence. Encyclopedia of Business Analytics and Optimization (1st Edition), IGI Global publisher, PA, USA, 2013.
Al Ahad Khan, A., Ullah, M. H., Tabassum, R., & Kabir, M. F. Enhanced Transformer-BiLSTM Deep Learning Framework for Day-Ahead Energy Price Forecasting. IEEE Industry Applications Society (IEEE IAS) - Journal [Accepted].
Jonathan Cui, David A. Araujo, Suman Saha, Md Faisal Kabir. CS-Mixer: A Cross-Scale Vision Multi-Layer Perceptron with Spatial–Channel Mixing. IEEE Transaction on Artificial Intelligence, https://ieeexplore.ieee.org/document/10562192
Tianjie Chen, Md Faisal Kabir. Explainable machine learning approach for cancer prediction through binarilization of RNA sequencing data. PLOS ONE, https://doi.org/10.1371/journal.pone.0302947
B Mudumba, MF Kabir. Mine-first association rule mining: An integration of independent frequent patterns in distributed environments. Decision Analytics Journal, Elsevier,Volume 10, https://doi.org/10.1016/j.dajour.2024.100434
Md Ochiuddin Miah, Umme Habiba, Md Faisal Kabir. ODL-BCI: Optimal deep learning model for brain-computer interface to classify students confusion via hyperparameter tuning. Brain Disorders, Elsevier,Volume 13, https://doi.org/10.1016/j.dscb.2024.100121.
Bilal Al-Ahmad, Nailah Al-Madi, Abdullah Alzaqebah, Rami S Alkhawaldeh, Khaled Aldebei, Md Faisal Kabir, Ismail Altaharwa, Ibrahim Aljarah (2023). Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code. IEEE Access, Volume: 11, DOI: 10.1109/ACCESS.2023.3341395.
Kabir, M. F., Chen, T. (Co-Author - Undergraduate Student), & Ludwig, S. A. (2022). A performance analysis of dimensionality reduction algorithms in machine learning models for cancer prediction. Healthcare Analytics, 3, 9. DOI: 10.1016/j.health.2022.100125
Al-Ahmad, B., Al-Zoubi, A. M., Kabir, M. F., Al-Tawil, M., & Aljarah, I. (2022). An Evolutionary Assessment Model for Early Prediction of Performance for Low-Expectation Teams in Educational Software Engineering Projects. PeerJ Computer Science 8:e857, 8:e857, 33. DOI: 10.7717/peerj-cs.857
Md Faisal Kabir, Schulman, D. & Abdullah, A.S., Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches, Journal of Medical Systems (2019) 43: 227. https://doi.org/10.1007/s10916-019-1360-z
Md Faisal Kabir, Simone A. Ludwig, Enhancing the Performance of Classification Using Super Learning, Journal of Data-Enabled Discovery and Applications, Springer, vol. 3, no. 5, 2019.
F.A. Siddiky, Faisal Kabir and S.M. Monzurur Rahman, “Data Generalization with k-means for scalable data mining” Int. J. Knowledge Engineering and Data Mining (IJKEDM), 2012.
S M Monzurur Rahman, Md. Faisal Kabir and F A Siddiky, “Rules Mining From Multi-layered Neural Networks”, Int. J. of Computational Systems Engineering (IJCSysE), 2012.
M.F. Kabir, C.M. Rahman, A. Hossain, K. Dahal, "Enhanced classification accuracy on naive bayes data mining models", International Journal of Computer Applications, vol. 28, pp. 9-16, 2011.
Khatriya, N., Chen, T., Kabir, M. F., & Brearly, T. (2024, December). Identifying Probable Neurological Disorders with Explainable Machine Learning Techniques. In 2024 IEEE International Conference on Big Data (BigData) (pp. 5006-5013). IEEE Computer Society.
Khan, A. A. A., Ullah, M. H., Tabassum, R., & Kabir, M. F. (2024, April). A transformer-BILSTM based hybrid deep learning approach for day-ahead electricity price forecasting. In 2024 IEEE Kansas Power and Energy Conference (KPEC) (pp. 1-6). IEEE.
Jinyoon Kim, Md Faisal Kabir. Automated Data Labeling for Object Detection via Iterative Instance Segmentation, IEEE International Conference on Machine Learning and Applications (ICMLA), FL, USA, 2023.
Karthik Reddy Kanjula, Ashok Raju Datla, Tianjie Chen, Md Faisal Kabir. An Edge Internet of Things Framework for Machine Learning-Based Skin Cancer Detection Models, IEEE International Conference on Machine Learning and Applications (ICMLA), FL, USA, 2023.
Md Faisal Kabir, Simone A. Ludwig, Classification of Breast Cancer Risk Factors Using Several Resampling Approaches, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), Orlando, FL, USA, 2018.
Md Faisal Kabir, Simone A. Ludwig, A.S. Abdullah, Rule Discovery from Breast Cancer Risk Factors using Association Rule Mining, 2018 IEEE International Conference on Big Data (Big Data), Seattle, USA, 2018.
Mohammad Masudur Rahman, Md Faisal Kabir, Mohammad Nurul Huda, A Corpus Based N-gram Hybrid Approach of Bengali to English Machine Translation, 2018 IEEE 21st International Conference of Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2018.
Md Shoab Miah, Sabirat Rubya, Md Faisal Kabir. Assessment of occupational noise induced hearing loss via a smartphone application. 8th International Conference on Software, Knowledge Information Management and Applications (SKIMA), 2014.
Md. Faisal kabir, Chowdury HAM, Dahal K, Hossain M.A and CM Rahman, Disjunctive Naïve Bayesian Classifier to Enhance Accuracy for Dynamic Prediction. International conference on Software, Knowledge, Information Management and Application (SKIMA 2010), Paro,Bhutan, August 25-27,2010.
Mohammed Anowarul Hassan, Rubaiya Rahtin Khan, Md. Faisal Kabir and Dr. Chowdhury Mofizur Rahman. Finding the Appropriate Meaning of Polysemous Words Using Context Dependency, 2nd International Conference on Data Management (ICDM), IMT Ghaziabad, India, 10-11 February 2009.
MF Kabir, S Aziz, S Ahmmed, CM Rahman, Information theoretic SOP expression minimization technique, IEEE 10th International Conference of Computer and Information Technology (ICCIT), Bangladesh, 2007.
Faisal Kabir, Munsur M, ASM Abdullah, Promoting Smoking Cessation among youth in Bangladesh: strategies and approaches. 8th Asia pacific Conference on Tobacco or Health, 17-20, October, 2007, Howard plaza Hotel Taipei, Taiwan.