Under Publication (on Review & on Proceeding): 

• [Under Review-J9] Bangla Braille to Voice Conversion for Visually Impaired Individuals using Deep Neural Network, Intelligent Systems with Applications, Elsevier [Scopus Q1] [Journal Link] [Review Update]

• [Under Review-J8] Depression Level Prediction and Classification of Housewife using Machine Learning with Feature Engineering and Hyperparameter Tuning based on Zung Self Rating Depression Scale, Informatics in Medicine Unlocked, Elsevier [Scopus Q1] [Journal Link] [Review Update]

• [Under Review-J7] An in-depth Analysis of Machine Learning-Based Early Liver Disease Prediction with Risk Factors Analysis and a Proposed IoMT-RPA-Enhanced Mobile Application, Expert Systems With Applications, Elsevier [Scopus Q1] [Journal Link] [Review Update]

• [Under Review-J6] Sentiment Based Book Recommendations: A Machine Learning Approach to Enhance Reading Experience, Computers and Electrical Engineering, Elsevier [Scopus Q1] [Journal Link]

• [Under Review-J5] An Ensemble Transfer Learning-based Approach for Multiclass Skin Disease Classification, Discover Applied Sciences, Springer [Scopus Q1] [Journal Link]

• [Under Review-J4] A Comprehensive Study of Machine Learning Approach for Early Prediction of Chronic Kidney Disease with Risk Factors Analysis and a Proposed RPA-based Mobile Application, Discover Applied Sciences, Springer [Scopus Q1] [Journal Link]

• [onProceeding-J3] A Study on Bottle Gourd Leaf Disease Classification based on Efficient Deep Learning Algorithms, IJECE [Scopus Q2] [Journal Link]

• [onProceeding -J2] Bone-Net: A Parallel Deep Convolutional Neural Network-based Bone Fracture Recognition, IJECE [Scopus Q2] [Journal Link]

• [onProceeding -J1] Classifying Jackfruit Diseases and Leaf Disorders: Leveraging CNN and Transfer Learning for Precision Diagnosis, IJECE [Scopus Q2] [Journal Link]

• [onProceeding-BC2] Automated Agricultural Pests Identification using Convolutional Neural Network-based Transfer Learning, the 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023), Book Chapter Proceeding, Taylor & Francis [Conference Link]

• [onProceeding-BC1] Efficient Location Prediction in MANETs using Machine Learning-Based Node Mobility Forecasting, the 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023), Book Chapter Proceeding, Taylor & Francis [Conference Link]

Review & Data Article (on Review & Proceeding): 

Review Articles:

• [Under Review-RA1] A Comprehensive Review of Explainable AI in Health Informatics: Trends, Challenges and Future Scope, Computer Science Review, Elsevier [Scopus + SCIE, Q1] [Cite Score: 32.7; Impact Factor: 13.3] [Journal Link]

Data Articles:

• [Under Review-DA2] A Large-Scale Dataset for Fruit Classification: Insights into Fresh, Rotten, and Formalin-mixed Samples, Data in Brief, Elsevier [Scopus Q2] [Journal Link] [Review Update]

• [Under Review-DA1] BanglaTense: A Large-Scale Dataset of Bangla Sentences Categorized by Tense: Past, Present, and Future, Data in Brief, Elsevier [Scopus Q2] [Journal Link] [Review Update]

Book Publications: 

• A Handbook of C Programming with Example by Masud Rabbai, Md. Hasan Imam Bijoy, Md. Atiqur Rahman. Published at lulu.com

Research Data: 

• Jackfruit AgroVision: A Extensive Dataset for Jackfruit Disease and Leaf Disease Detection using Machine Learning by Amir Sohel, Md Hasan Imam Bijoy, Rittik Chandra Das Turjy, Sarbajit Paul Bappy.  Published at Mendeley Data

• BanglaSarc3: A Benchmark Dataset for Bangla Sarcasm Detection from Social Media to Advance Bangla NLP  by Susmoy Biswas, Md. Mostafizur Rahman Zahid, Mst Taposi Rabeya, Minhazul Abedin, Md Hasan Imam Bijoy.  Published at Mendeley Data

• A Comprehensive Image Dataset of Plum Leaf and Fruit for Disease Detection and Classification by Rejowan Arifin Nayeem, S.M. Abdullah Al Muhib, Shahriar Marjan, Md Hasan Imam Bijoy, Md Assaduzzaman.  Published at Mendeley Data

• AI-MedLeafX: A Large-Scale Computer Vision Dataset for Medicinal Plant Diagnosis by Md. Fahim Ferdous, Faysal Bin Khaled Nissan, Nur Muhammad Nibir, Md Hasan Imam Bijoy. Published at Mendeley Data

• RoseLeafInsight: A High-Resolution Image Dataset for Rose Leaf Disease Recognition by Arnob Das Shacha, Sabbir Hossain Durjoy, Md Emon Shikder, MD Mostafa Kamal, Md Mehedi Hasan Shoib, Md Hasan Imam Bijoy.  Published at Mendeley Data

• Maternal Depression Dataset: A Machine Learning Perspective on the Mental Health Analysis of Mothers of School-Going Children in Dhaka using the Zung SDS Scale by Sharmin Sultana, Md Hasan Imam Bijoy, Maksuda Akter Rubi, Bilkis Khanam. Published at Mendeley Data

• LitchiLeaf4001: A Comprehensive Dataset of Lychee Leaf Diseases for AI-Based Visual Diagnosis by Md. Taufiq Hasan , Sabbir Hossain Durjoy , Md Emon Shikder , Md. Safaet Zahangir , Md Muntasir Uddin , Md Mehedi Hasan Shoib, Md Hasan Imam Bijoy.   Published at Mendeley Data

• Cry, Laugh, or Angry? A Benchmark Dataset for Computer Vision-Based Approach to Infant Facial Emotion Recognition by Md. Mehedi Hasan , EMON SHAHRIARE , Maria Rashid , MD Sayed Islam Rifat , Md. Redoy Siddik, Md Hasan Imam Bijoy.  Published at Mendeley Data

• Burmese Grape Leaf Disease Dataset for Computer Vision-Based Plant Health Diagnosis by Salman Af Rahman, Md. Nafiz Imtiaz , Naima Ahmed, Md Hasan Imam Bijoy. Published at Mendeley Data

• Bangladeshi Tribal Faces: A Dataset for Machine Learning and Deep Learning Applications by MD Arham Tabib, Sumyia Sabrin Liza, Md Hasan Imam Bijoy.  Published at Mendeley Data

• Cauliflower Leaf Diseases: A Computer Vision Dataset for Smart Agriculture by Sabbir Hossain Durjoy, Md Emon Shikder, Md Mehedi Hasan Shoib, Md Hasan Imam Bijoy.  Published at Mendeley Data

• Mind Matters: USDI-30 Depression Dataset of Bangladeshi University Students for Machine Learning Analysis by Md Hasan Imam Bijoy, Md. Ahram Tabib, Sumyia Sabrin Liza, Md. Zahid Hasan, Mohammad Shamsul Arefin. Published at Mendeley Data

• GastroEndoNet: Comprehensive Endoscopy Image Dataset for GERD and Polyp Detection by Abu Kowshir Bitto, Md Hasan Imam Bijoy, Kamrul Hassan Shakil, Aka Das, Khalid Been Badruzzaman Biplob, ImranMahmud, Sayed Md. Minhaz Hossain . Published at Mendeley Data

• FruitVision: A Benchmark Dataset for Fresh, Rotten, and Formalin-mixed Fruit Detection by Md Hasan Imam Bijoy, Syeda Zarin Tasnim, Syed Ali Awsaf, Md Zahid Hasan. Published at Mendeley Data

• BanglaTense: A Large-Scale Dataset of Bangla Sentences Categorized by Tense: Past, Present, and Future by Umme Ayman, Md Hasan Imam Bijoy, Md. Monarul Islam Mithu. Published at Mendeley Data

Journal Publications: 

• [J9] Md. Hasan Imam Bijoy, Fizar Ahmed, Habibur Rahman Hemal, Sheak Rashed Haider Noori, "Smart Aquaculture Analytics: Enhancing Shrimp Farming in Bangladesh through Real-Time IoT Monitoring and Predictive Machine Learning Analysis", Heliyon [Scopus Q1] [Link]

• [J8] Shanjida Chowdhury, Md Fouad Hossain Sarker, Niaz Ahmed Khan, Md Kabirul Islam, Maruf Ahmed Tamal, Md Hasan Imam Bijoy, “Students’ Satisfaction in Online Class during COVID-19: An Empirical Study in Bangladesh Context”, Education Research International 2024,  Hindawi/Wiley [Link]

• [J7] Abu Kowshir Bitto, Md Hasan Imam Bijoy, Md Shohel Arman, Imran Mahmud, Aka Das, and Joy Majumder. "Sentiment analysis from Bangladeshi food delivery startup based on user reviews using machine learning and deep learning." Bulletin of Electrical Engineering and Informatics 12, no. 4 (2023): 2282-2291. [Scopus Q3]

• [J6] Abu Kowshir Bitto, Md Hasan Imam Bijoy, Sabina Yesmin, Imran Mahmud, Md Jueal Mia, and Khalid Been Badruzzaman Biplob. "Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images." International Journal of Advances in Intelligent Informatics 9, no. 2 (2023): 148-160. [Scopus Q3]

• [J5] Ashikur Rahaman, Abu Kowshir Bitto, Khalid Been Md Badruzzaman Biplob, Md Hasan Imam Bijoy, Nusrat Jahan, and Imran Mahmud. "Bitcoin trading indicator: a machine learning driven real time bitcoin trading indicator for the crypto market." Bulletin of Electrical Engineering and Informatics 12, no. 3 (2023): 1762-1772. [Scopus Q3]

• [J4] Abu Kowshir Bitto, Imran Mahmud, Md Hasan Imam Bijoy, Fatema Tuj Jannat, Md Shohel Arman, Md Mahfuj Hasan Shohug, and Hasnur Jahan. "CryptoAR: scrutinizing the trend and market of cryptocurrency using machine learning approach on time series data." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1684-1696. [Scopus Q3]

• [J3] Md Hasan Imam Bijoy, Masud Rabbani, Md Ishrak Islam Zarif, Md Mahbubur Rahman, Md Rakibul Hasan, and Tridip Bhowmik. "A stupendous statistics on the pandemic impact on all sectors of Bangladesh." In AIP Conference Proceedings, vol. 2451, no. 1. AIP Publishing, 2022. [Scopus Q3]

• [J2]  Md Hasan Imam Bijoy, Sumiya Alam Akhi, Md Ali Ashraf Nayeem, Md Mahbubur Rahman, and Md Jueal Mia. "Prediction of internet user satisfaction levels in Bangladesh using data mining and analysis of influential factors." Bulletin of Electrical Engineering and Informatics 11, no. 2 (2022): 926-935. [Scopus Q3]

• [J1] Md Hasan Imam Bijoy, Maksuda Akter Rubi, Shanjida Chowdury, and Siddiqur Rahman. "Growth and trustworthiness of online shopping & business during the pandemic: A case study on Bangladesh." Journal of Sales, Service and Marketing Research 3, no. 1 (2022): 6-16. [Scopus Q3]

Book Chapter Publications: 

• [BC7] Fizar Ahmed, Md Hasan Imam Bijoy, Sheak Rashed Haider Noori, Tasnova Rebonya, Habibur Rahman Hemal, Mohammad Shamsul Arefin, “The Comparison of Machine Learning Algorithms to Find the Career Path by Bloom’s Taxonomy Evaluation.” In International Conference on Big Data, IoT and Machine Learning, pp. 747-761. Singapore: Springer Nature Singapore, 2023. [Link]

• [BC6] Hafiz Al Fahim, Md Abid Hasan, Md Hasan Imam Bijoy, Ahmed Wasif Reza, Mohammad Shamsul Arefin, “Seeds Classification using Deep Learning: A Review”, the 6th International Conference on Intelligent Computing & Optimization 2023, Book Chapter Proceeding, Springer Nature, 2023 [Link]

• [BC5] Sabiha Anan, Nazneen Islam, Mohammed Nadir Bin Ali, Touhid Bhuiyan, Md Hasan Imam Bijoy, Ahmed Wasif Reza, Mohammad Shamsul Arefin, “Automatic Document Summarization of Unilingual Documents: A Review”, the 6th International Conference on Intelligent Computing & Optimization 2023, Book Chapter, Springer Nature, 2023 [Link]

• [BC4] Abu Kowshir Bitto, Md Hasan Imam Bijoy, Saima Khan, Imran Mahmud, and Khalid Been Badruzzaman Biplob. "Approach of Different Classification Algorithms to Compare in N-gram Feature Between Bangla Good and Bad Text Discourses." In Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1, pp. 105-116. Singapore: Springer Nature Singapore, 2023.

• [BC3] Anik Pramanik, Md Hasan Imam Bijoy, and Md Sadekur Rahman. "Depression-Level Prediction During COVID-19 Pandemic Among the People of Bangladesh Using Ensemble Technique: MIRF Stacking and MIRF Voting." In Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, pp. 71-87. Singapore: Springer Nature Singapore, 2022.

• [BC2] Abu Kowshir Bitto, Md Hasan Imam Bijoy, Sabina Yesmin, and Md Jueal Mia. "Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Images." In International Conference on Machine Intelligence and Emerging Technologies, pp. 177-186. Cham: Springer Nature Switzerland, 2022.

• [BC1] Abu Kowshir Bitto, Md Hasan Imam Bijoy, Aka Das, Md Ashikur Rahman, and Masud Rabbani. "Potato-Net: Classifying Potato Leaf Diseases Using Transfer Learning Approach." In International Conference on Machine Intelligence and Emerging Technologies, pp. 3-14. Cham: Springer Nature Switzerland, 2022.

Conference Publications: 

• [C21] Khalid Been Badruzzaman Biplob, Md Hasan Imam Bijoy, Abu Kowshir Bitto, Aka Das, Amit Chowdhury, and Sayed Md Minhaz Hossain. "Suicidal Ratio Prediction Among the Continent of World: A Machine Learning Approach." In 2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1), pp. 1-6. IEEE, 2023.

• [C20] Abu Kowshir Bitto, Maksuda Akter Rubi, Md Hasan Imam Bijoy, Subrata Das Shuvo, Aka Das, and Amit Chowdhury. "KGR-Rainfall: Temperature-Based Rainfall Prediction in Bangladesh with Novel KGR Stacking Ensemble." In 2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1), pp. 1-6. IEEE, 2023.

• [C19] Anik Pramanik, Fayazunnesa Chowdhury, Salma Sultana, Md Mahbubur Rahman, Md Hasan Imam Bijoy, and Md Sadekur Rahman. "Monkeypox Detection from Various Types of Poxes: A Deep Learning Approach." In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp. 1-7. IEEE, 2023.

• [C18] Md Hasan Imam Bijoy, Mehedi Hasan, Md Mahbubur Rahman, Abu Kowshir Bitto, Masud Rabbani, and Maksuda Akter Rubi. "Classifying Gender Based on Life Partner Choosing Factor using Supervised Machine Learning." In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2022.

• [C17] Maksuda Akter Rubi, Md Hasan Imam Bijoy, Shanjida Chowdhury, and Md Khairul Islam. "Machine Learning Prediction of Consumer Travel Insurance Purchase Behavior." In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2022.

• [C16] Md Abdul Wadud Sorker, Aysha Siddika, Tanjia Abedin Titly, Md Jueal Mia, and Md Hasan Imam Bijoy. "Online Consumer Alignment using Supervised Machine Learning Technique." In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2022.

• [C15] RIM Abdullah Al Farabi, Mst Soniatuz Zhohra, Md Sadekur Rahman, Md Hasan Imam Bijoy, Mostak Ahmad, and Sonia Nasrin. "A Supervised Machine Learning Approach to Classify Perkinson’s Disease." In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-4. IEEE, 2022.

• [C14] Mehedi Hasan, Shenjuti Paul Puja, Md Hasan Imam Bijoy, Abdus Sattar, and Md Mahbubur Rahman. "Multiple Bangla Sentence Classification using Machine Learning and Deep Learning Algorithms." In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2022.

• [C13] Md Prince Mahmud, Md Alams Ali, Sima Akter, and Md Hasan Imam Bijoy. "Lychee Tree Disease Classification and Prediction using Transfer Learning." In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2022.

• [C12] Sakibul Hasan, Golam Rabbi, Rejoan Islam, Hasan Imam Bijoy, and Azizul Hakim. "Bangla font recognition using transfer learning method." In 2022 International Conference on Inventive Computation Technologies (ICICT), pp. 57-62. IEEE, 2022.

• [C10] Md Hasan Imam Bijoy, Anik Pramanik, Md Sadekur Rahman, Mehedi Hasan, Sumiya Alam Akhi, and Md Mahbubur Rahman. "MKRF Stacking-Voting: A Data Mining Technique for Predicting Educational Satisfaction Level of Bangladeshis Student During Pandemic." In 2022 IEEE 7th International conference for Convergence in Technology (I2CT), pp. 1-7. IEEE, 2022.

• [C9] Md Hasan Imam Bijoy, Aysha Siddika, Md Mahbubur Rahman, Md Rabin Mia, Fizar Ahmed, and Fahad Faisal. "A Real-Time IoT and Cloud System for Carbon Dioxide Monitoring in Dhaka City's Buildings with Rooftop Garden and without Rooftop Garden." In 2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), vol. 1, pp. 577-583. IEEE, 2022.

• [C8] Anik Pramanik, Md Hasan Imam Bijoy, and Md Sadekur Rahman. "Detection of Potholes using Convolutional Neural Network Models: A Transfer Learning Approach." In 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), pp. 73-78. IEEE, 2021.

• [C7] Jueal Mia, Md Hasan Imam Bijoy, Shoreef Uddin, and Dewan Mamun Raza. "Real-time herb leaves localization and classification using YOLO." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2021.

• [C6] Maksuda Akter Rubi, Md Hasan Imam Bijoy, and Abu Kowshir Bitto. "Life expectancy prediction based on GDP and population size of Bangladesh using multiple linear regression and ANN model." In 2021 12th international conference on computing communication and networking technologies (ICCCNT), pp. 1-6. IEEE, 2021.

• [C5] Md Hasan Imam Bijoy, Mehedi Hasan, Abdur Nur Tusher, Md Mahbubur Rahman, Md Jueal Mia, and Masud Rabbani. "An automated approach for Bangla sentence classification using supervised algorithms." In 2021 12th international conference on computing communication and networking technologies (ICCCNT), pp. 1-6. IEEE, 2021.

• [C4] Shanjida Chowdhury, Maksuda Akter Rubi, and Md Hasan Imam Bijoy. "Application of artificial neural network for predicting agricultural methane and CO 2 emissions in Bangladesh." In 2021 12th international conference on computing communication and networking technologies (ICCCNT), pp. 1-5. IEEE, 2021.

• [C3] Md Rakibul Hasan, Md Hasan Imam Bijoy, Sharun Akter Khushbu, Sharmin Akter, and Syed Akter Hossain. "Supervised method pursued for overall impact of online class during lockdown in Bangladesh." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2021.

• [C2] Mehedi Hasan, Md Hasan Imam Bijoy, and Sumiya Alam Akhi. "Refute the decision of auto-promotion and real facts of digital online classes during the pandemic in Bangladesh." In 2020 IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI), pp. 1-6. IEEE, 2020.

• [C1] Md Hasan Imam Bijoy, Md Rakibul Hasan, and Masud Rabbani. "RBS: a new comparative and better solution of sorting algorithm for array." In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2020.