Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh

Affiliated to Board of Intermediate and Secondary Education, Dinajpur, Bangladesh

Affiliated to Board of Intermediate and Secondary Education, Dinajpur, Bangladesh

November 16, 2022 to Present

Pankaj Bhowmik and Mostofa Kamal Nasir, "Anemia Diagnosis from Clinical Records Leveraging Tree-Driven and XAI-Enhanced Machine Learning", Computational Biology and Chemistry. Volume 119, 2025, ISSN 1476-9271, Elsevier 2025. (IF: 3.1, Q2). https://doi.org/10.1016/j.compbiolchem.2025.108582

Al Mahmud Siam, Pankaj Bhowmik, and Md. Palash Uddin, "Hybrid Feature Selection Framework for Enhanced Credit Card Fraud Detection Using Machine Learning Models", PLOS One, 2025.  (IF: 3.7, Q1). https://doi.org/10.1371/journal.pone.0326975

Priyanka Roy, Fahim Mohammad Sadique Srijon and Pankaj Bhowmik, "An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data", PLoS ONE 19(9): e0310748. 2024 (IF: 2.9, Q1). https://doi.org/10.1371/journal.pone.0324970

Pankaj Bhowmik, Pulak Chandra Bhowmik, U. A. Md. Ehsan Ali and Md. Sohrawordi, "Cardiotocography Data Analysis to Predict Fetal Health Risks with Tree-Based Ensemble Learning", International Journal of Information Technology and Computer Science, Vol.13, No.5, pp.30-40, 2021. DOI: 10.5815/ijitcs.2021.05.03 (GIF: 0.716) https://doi.org/10.5815/ijitcs.2021.05.03

Khandokar Sabbir Ahmed, Rafi Zubayer, Mostaque Shahriar Tonmoy, Md. Delowar Hossain, Hasi Saha, Pankaj Bhowmik, Md. Fahim and Md. Abu Talha Taufique, “Optimizing Human Activity Recognition Using a Support Vector Machine with a Custom Kernel and Feature Selection Techniques”, 2nd IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN 2026). IEEE [Accepted]

Md. Abid Hasan Rafi, Md. Tayyab Ameri Turan, Dipto Kumer Pramanik, Md. Al Imran, Md. Taufiq Biswas, and Pankaj Bhowmik, "Ensemble Learning with Dynamic Weight Optimization: A Framework for Satellite Lifetime Prognostics and Orbit Classification", 2nd IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN 2026). IEEE [Accepted]

Najma Lopa, Sultan Mahamud Opu, Sourav Roy, Mst Ifat Zahan Soma and Pankaj Bhowmik, "AI-Driven Analysis of Sleep Disorders in Bangladeshi University Students Using Clinical and Behavioral Insights", 5th IEEE International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE 2026), IEEE [Accepted]

Mohima Binte Rasel, Mst. Fatematuj Johora, Md. Abid Hasan Rafi, Pankaj Bhowmik, Md. Delowar Hossain and Tangina Sultana, "Optimized Boosting Approach for EEG-Based Emotion Classification with Feature Selection and Weighted Ensemble Learning", 11th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering 2025, IEEE [Accepted]

Tushar Emran, Suchi Karmoker, Irtiza Hossain Deya, Hima Akter, Khadizatul Kubra Keya, Pijush Kanti Roy Partho and Pankaj Bhowmik, "XAI-Driven Robustness in Dermatology: Towards Effective Skin Disease Diagnosis in Bangladeshi Clinical Contexts", 28th IEEE International Conference on Computer and Information Technology (ICCIT), IEEE [Accepted]

Md. Abid Hasan Rafi, Semanto Sharma, Md Morsalin Islam, Nahid Islam, and Pankaj Bhowmik "ECG-Based Cardiac Abnormality Identification with Customized Hybrid Lightweight Architecture", 4th IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025 (BECITHCON), IEEE [Accepted]

Abhijite Barman, Tazfia Sultana, Kamona Rani Roy, Somaiya Kazi, Pankaj Bhowmik, Ashis Kumar Mandal and Masud Ibn Afjal, "Robust Brain Stroke Prediction via Ensemble Machine Learning with Class Imbalance Handling and Threshold Tuning", 4th IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025 (BECITHCON), IEEE [Accepted]

Mst. Fatematuj Johora, Md. Abid Hasan Rafi, Mohima Binte Rasel, Pankaj Bhowmik and Md. Dulal Haque, "Slice-Specific Intrusion Detection Decision Support System in 5G Networks with Interpretable Ensemble Learning", 4th IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON 2025), IEEE [Accepted]

Md. Abid Hasan Rafi, Robinul Haque Robin, Sadia Mahmud, Md Fatin Fuad, Pankaj Bhowmik and Md. Fazle Rabbi, "Histopathological Disease Identification with Interpretable Region-Based Attribution, Expert Scoring, and Quantitative Analysis", 2025 2nd IEEE Conference on Computing Applications and Systems (COMPAS 2025), IEEE 10.1109/COMPAS67506.2025.11381714

MT. Shourovy Akter, Mrinal Basak Shuvo, Sabekun Nahar Tithe, MD Naimur Islam Nissan, Pankaj Bhowmik and Md. Delowar Hossain, "Explainable Multi-Model Framework for Breast Cancer Diagnosis Using Heterogeneous Clinical Data", 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN 2025), IEEE. 10.1109/QPAIN66474.2025.11171915

Pijush Kanti Roy Partho, Pankaj Bhowmik and Mostofa Kamal Nasir, "An Interpretable Ensemble Framework Towards Efficient Hypertension Risk Assessment". 2025 IEEE 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2025), IEEE. 10.1109/NCIM65934.2025.11159863

Rokaiya Tasnim, Ohahidur Zaman, Ishrat Jahan, Pankaj Bhowmik, Sumya Akter, and Md. Sohrawordi, "An Explainable Ensemble Learning Approach for Gestational Diabetes Prediction". 2025 IEEE 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2025), IEEE. 10.1109/NCIM65934.2025.11160307

Mrinal Basak Shuvo, Arjon Talukder, Sadia Islam Neela, Pankaj Bhowmik and Md. Delowar Hossain, "An Adaptive AI Approach for Cervical Cancer Prediction with Explainability". 2025 IEEE 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2025), IEEE. 10.1109/NCIM65934.2025.11160255

Jabin Tasmin Anny, MST. Sabrina Momotaj, Abida Meem, Sumya Akter and Pankaj Bhowmik, "An Empirical Machine Learning Approach Towards Effective Sleep Disorder Prediction". 2025 IEEE 4th International Conference on Electrical, Computer and Communication Engineering (ECCE),  2025, pp. 1-6,  IEEE. 10.1109/ECCE64574.2025.11013855

Md Masum Rana, Ashis Kumar Mandal, Mahmudul Hasan, Md Fazle Rabbi and Pankaj Bhowmik, "Optimizing Potato Leaf Disease Classification with Channel Dropout Attention in EfficientNetB0". 2025 IEEE 4th International Conference on Electrical, Computer and Communication Engineering (ECCE),  2025, pp. 1-6, IEEE. 10.1109/ECCE64574.2025.11012948

Al Mahmud Siam, Pankaj Bhowmik, Hasi Saha, Md. Palash Uddin and Adiba Mahjabin Nitu, "Incorporating Feature Fusion Engineering and Ensemble Learning for Effective Credit Card Fraud Detection". 2024 IEEE 27th International Conference on Computer and Information Technology (ICCIT), IEEE. 10.1109/ICCIT64611.2024.11022448

Pijush Kanti Roy Partho, Md. Abid Hasan Rafi and Pankaj Bhowmik, "Plant Leaf Disease Detection Incorporating IoT and XAI-Enhanced Deep Learning". 2024 IEEE 27th International Conference on Computer and Information Technology (ICCIT), IEEE. 10.1109/ICCIT64611.2024.11021966

Md Iftekhar Tushar, Md. Azizur Rahman, Sumya Akter, Mahmudul Hasan, Pankaj Bhowmik and Md Abdulla Al Mamun, "Exploring the Influence of Global Conflicts on Cryptocurrency Markets with RNN-Based Analysis". 2024 IEEE 27th International Conference on Computer and Information Technology (ICCIT), IEEE. 10.1109/ICCIT64611.2024.11022125  [Best Technical Presentation Award]

Pankaj Bhowmik, Md. Sohrawordi, U.A. Md. Ehsan Ali, Md. Najmul Hasan and Prodip Kumar Roy, "Analysis of Social Media Data to Classify and Detect Frequent Issues Using Machine Learning Approach," 2020 IEEE 2nd International Conference on Advanced Information and Communication Technology (ICAICT 2020), pp. 394-399, 2020. IEEE. 10.1109/ICAICT51780.2020.9333452

Md. Abid Hasan Rafi, Shahriar Hasan, Md. Taufiq Biswas, Pankaj Bhowmik, and Md. Dulal Haque, "Edge-Cloud Integrated Digital Twin System with Customized Random Forests for Crop Recommendation", International Conference on Smart Agriculture and Sustainable Development (ICSASD 2026), in Taylor and Francis Book series. [Accepted]

Sadia Mahmud, Md. Abid Hasan Rafi, Md Fatin Fuad, Robinul Haque Robin, Pankaj Bhowmik and Md. Fazle Rabbi, "Bio-Adaptive Multilayer Network for Lightweight Cortical Visual Processing in Ophthalmic Disease Classification", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), in Taylor and Francis Book series. [Accepted]

Md. Abid Hasan Rafi, Md. Shohidullah Samrat, Mst. Fatematuj Johora, Pankaj Bhowmik, Md. Dulal Haque and Mohammad Zoynul Abedin, "Generalized and Fine-Grained Remote Sensing Image Identification using Lightweight CNN and Color-Space Attention with XAI", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), in Taylor and Francis Book series. [Accepted]

Pijush Kanti Roy Partho, Tushar Emran, MD. Istiuk Ahmed Mitul, Md Najib Ul Azam Mahi, Dipraj Sarker and Pankaj Bhowmik, "Ensemble Learning-Based Real-Time Dengue Prediction from Hematological Features with XAI", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), in Lecture Notes in Networks and Systems (LNNS) Book series. Springer Book series. https://doi.org/10.1007/978-3-032-15346-3_43

Pijush Kanti Roy Partho, Ruhul Amin Maruf, Md. Naimur Rahman, Md Sadik Islam Udoy, Md. Farhan Quadery and Pankaj Bhowmik, "Bridging Interpretability and Predictive Power: An Explainable AI Approach for Maternal Health Risk in Bangladesh", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), in Lecture Notes in Networks and Systems (LNNS) Book series. Springer Book series. https://doi.org/10.1007/978-3-032-15346-3_15

Md. Abid Hasan Rafi, Pijush Kanti Roy Partho, Pankaj Bhowmik, Md Delowar Hossain and Tangina Sultana, "Discriminative-Encoder GAN and Lightweight CNN for Interpretable Plant Disease Detection and Deployable Diagnosis", in Data Mining - Foundational Concepts and Cutting-Edge Advancements Book Series, IntechOpen, 2025. IntechOpen Book series [In Press]

Pankaj Bhowmik and Mostofa Kamal Nasir, "Ensemble Learning-Based Framework for Real-Time Anemia Screening Using Clinical Hematological Parameters", International Conference on Data Science, AI and Applications (ICDSAIA 2025), in Communications in Computer and Information Science (CCIS) Book series, Springer Nature Switzerland AG. Springer Book series. https://doi.org/10.1007/978-3-032-11352-8_30

Abhijite Deb Barman, Kamona Rani Roy, Tazfia Sultana, Ashis Kumar Mandal and Pankaj Bhowmik, "An Explainable and Ensemble Approach for Skin Lesion Classification Using Attention-Based Lightweight CNNs", International Conference on Data Science, AI and Applications (ICDSAIA 2025), in Communications in Computer and Information Science (CCIS) Book series, Springer Nature Switzerland AG. Springer Book series. https://doi.org/10.1007/978-3-032-11335-1_28

Robinul Haque Robin, Sadia Mahmud, Md. Abid Hasan Rafi, Md. Fazle Rabbi, Mohammad Mahim and Pankaj Bhowmik, "An Interpretable Hybrid Framework for Brain Tumor Classification: Fusion of EfficientNetV2L, ViTs, and Attention Mechanisms", International Conference on Data Science, AI and Applications (ICDSAIA 2025), in Communications in Computer and Information Science (CCIS) Book series, Springer Nature Switzerland AG. Springer Book series. https://doi.org/10.1007/978-3-032-11335-1_32

Priyanka Roy, Fahim Mohammad Sadique Srijon, Mahmudul Hasan, Pankaj Bhowmik and Adiba Mahjabin Nitu "An Ensemble Machine Learning Approach with Hybrid Feature Selection Technique to Detect Thyroid Disease" Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning. BIM 2023. in Lecture Notes in Networks and Systems (LNNS) Book series, vol 867. Springer, Singapore. Springer Book series. https://doi.org/10.1007/978-981-99-8937-9_26

Pankaj Bhowmik, Md. Sohrawordi, U. A. Md. Ehsan Ali, and Pulak Chandra Bhowmik "An Empirical Feature Selection Approach for Phishing Websites Prediction with Machine Learning", ICBBDB 2021, in Communications in Computer and Information Science (CCIS) Book series, vol 1550. Springer, Cham. Springer Book series. https://doi.org/10.1007/978-3-031-17181-9_14

Pankaj Bhowmik and Pulak Chandra Bhowmik "A Machine Learning Approach for Phishing Websites Prediction with Novel Feature Selection Framework", International Conference on 4th Industrial Revolution and Beyond (IC4IR 2021), in Lecture Notes in Networks and Systems (LNNS) Book series, vol 437. Springer, Singapore. Springer Book series. https://doi.org/10.1007/978-981-19-2445-3_24

Abid Hasan Rafi, and Pankaj Bhowmik (2025), “HistoSet-5×14: A Collection of Balanced Multi-Organ Histopathology Datasets”, Mendeley Data, V1. https://doi.org/10.17632/nc8k63t7mp.1

Abid Hasan Rafi, Mst. Fatematuj Johora, and Pankaj Bhowmik (2025), “SliceVision-F2I: Synthetic Visual Dataset for Network Slicing”, Mendeley Data, V2, https://doi.org/10.17632/68xp3vszsz.2

Abid Hasan Rafi, Mst Fatematuj Johora, and Pankaj Bhowmik. "SliceVision-F2I: A Synthetic Feature-to-Image Dataset for Visual Pattern Representation on Network Slices". arXiv Preprint arXiv:2511.01087 (2025). https://doi.org/10.48550/arXiv.2511.01087

Funded by: Research Cell, MBSTU

Funded by: Faculty of Computer Science and Engineering, HSTU

Funded by: Grameen Bank, Bangladesh

Funded by: Secondary Education Quality and Access Enhancement Project (SEQAEP)

Funded by: Education Board Government Scholarship

Funded by: Institute of Research and Training (IRT), HSTU [Grant No.: HSTU/IRT/5159]

Position: Co-Principal Investigator (Co-PI)

Description: Maternal healthcare remains a pressing concern in developing regions, where early identification of high-risk pregnancies is vital to reducing maternal and neonatal complications. This project proposes a machine learning-based framework for predicting maternal health risks among Bangladeshi women, utilizing a curated dataset that includes clinical, physiological, and historical health indicators.

URL: https://scholar.google.com/citations?user=-QsxAxsAAAAJ&hl=en

URL: https://www.researchgate.net/profile/Pankaj-Bhowmik-4

URL: https://bd.linkedin.com/in/bhowmikpankaj