Tahsin, M., Nuha, M.B.R., Akter, S., Al Hossain, M., Rashid, M.R.A., Islam, R.U. and Hossain, M.S. (2025). Leveraging pre-trained models within a semi-supervised and explainable AI real-time framework: a pioneering paradigm for betel leaf disease detection, Journal of Agriculture and Food Research, 102142.
Rashid, M.R.A., Korim, M.A.E., Hasan, M., Ali, M.S., Islam, M.M., Jabid, T., Islam, R.U. and Islam, M. (2025). An ensemble learning framework with explainable AI for interpretable leaf disease detection, Array, 26, 100386.
Arnab, M.I., Nafisa, A.T., Tahsin, M., Morshed, M.M., Nuha, M.B., Ali, M.S., Hasan, M., Islam, M., Jabid, T., Rashid, M.R.A. and Islam, M.M. (2025). RiceKernelEngine: benchmarking transfer learning models for microscopic images of rice kernel, Array, 100429.
Kabir, S., Akon, M.F., Rashid, M.R.A., Islam, M., Jabid, T., Islam, M.M. and Ali, M.S. (2025). Smartphone image dataset for machine learning-based monitoring and analysis of mango growth stages, Data in Brief, 111780.
Tahsin, M., Ibrahim, M., Nafisa, A.T., Nuha, M.B., Arnab, M.I., Ferdaus, M.H., Islam, M.M., Rashid, M.R., Jabid, T., Ali, M.S. and Niloy, N.T. (2025). PaddyVarietyBD: classifying paddy variations of Bangladesh with a novel image dataset, Data in Brief, 60, 111514.
Sunny, S., Prodhan, S., Shakib, N., Rashid, M.R.A. and Mansoor, N. (2025). Comprehensive smartphone image dataset for fish species identification in Bangladesh's freshwater ecosystems, Data in Brief, 111629.
Hossain, A., Konok, U.H., Tahsin, M., Islam, R.U., Rashid, M.R.A., Hossain, M.S. and Andersson, K. (2025). A FixMatch framework for Alzheimer's disease classification: exploring the trade-off between supervision and performance, IEEE Access.
Rizvee, R.A., Farrok, O., Hasan, M., Farhan, F., Islam, M.H., Hasan, M.K., Rahman, A., Islam, M., Ali, M.S., Jabid, T. and Rashid, M.R. (2025). Revival of muslin by phuti karpas plant identification with convolution neural network, Array, 100428.
Hossain, M.S., Rashid, M.R.A., Fahim, M., Ali, M.S., Islam, M., Islam, M.M., Ferdaus, M.H. and Niloy, N.T. (2025). Drone-based dataset of annotated sunflower images from Bangladesh, Data in Brief, 59, 111417.
Rashid, M.R., Al Rafi, A., Islam, M.A., Sharkar, S.U., Rafi, Z.H., Hasan, M., Ali, M.S. and Khan, M.S. (2025). Enhancing land management policy in Bangladesh: a blockchain-based framework for transparent and efficient land management, Land Use Policy, 150, 107436.
Islam, M.M., Das, A., Shams, K., Hasan, M.R., Hasan, K.F., Rashid, M.R., Chowdhury, A., Ali, M.S., Islam, M., Shahjalal, M. and Masum, S. (2025). TFP-BD: an image dataset for traffic flow and pedestrian movement analysis on Bangladeshi urban roads, Data in Brief, 59, 111398.
Hasan, M., Gani, R., Rashid, M.R.A., Isty, M.N., Kamara, R. and Tarin, T.K. (2025). Smartphone image dataset for radish plant leaf disease classification from Bangladesh, Data in Brief, 58, 111263.
Islam, M.M., Ahmed, M.J., Shafi, M.B., Das, A., Hasan, M.R., Al Rafi, A., Rashid, M.R., Niloy, N.T., Ali, M.S., Chowdhury, A. and Rasel, A.A. (2025). BDMANGO: an image dataset for identifying the variety of mango based on the mango leaves, Data in Brief, 58, 111241.
Islam, M., Niloy, N.T., Hasan, I., Rupin, R.J., Chowdhury, M., Fahim, S.F., Ashhab, M.M., Islam, M.M., Ali, M.S. and Rashid, M.R.A. (2024). An extensive photographic dataset to classify laptop components for automating e-waste management by recycling old laptops, Data in Brief, 57, 111122.
Tahsin, M., Matin, M.M.H., Khandaker, M., Reemu, R.S., Arnab, M.I., Rashid, M.R.A., Rasel, M.M.K., Islam, M.M., Islam, M. and Ali, M.S. (2024). An extensive image dataset for deep learning-based classification of rice kernel varieties in Bangladesh, Data in Brief, 57, 111109.
Hasan, M., Gani, R., Rashid, M.R.A., Kamara, R., Tarin, T.K. and Rabbi, S.F. (2024). Comprehensive smartphone image dataset for bean and cowpea plant leaf disease detection and freshness assessment from Bangladesh vegetable fields, Data in Brief, 57, 111023.
Islam, M.M., Rahman, S., Hoque, N., Mamun, M.A., Moheuddin, M.S., Ali, M.S., Rashid, M.R.A. and others (2024). REMP: a unique dataset of rare and endangered medicinal plants in Bangladesh for sustainable healing and biodiversity conservation, Data in Brief, 57, 110895.
Rashid, M.R.A., Hasan, M., Islam, M.A., Tasnim, S.T., Taifa, R.J., Mahbub, S., Mansoor, N. and others (2024). Transforming agri-food value chains in Bangladesh: a practical application of blockchain for traceability and fair pricing, Heliyon, 10(21).
Hasan, M., Gani, R., Rashid, M.R.A., Tarin, T.K., Kamara, R., Mou, M.Y. and Rabbi, S.F. (2024). Comprehensive smartphone image dataset for plant leaf disease detection and freshness assessment from Bangladesh vegetable fields, Data in Brief, 56, 110775.
Rashid, M.R.A., Roy, R., Rahman, D.M.S., Saleh, M.A., Khan, A.A.H., Rayhan, M.A., Ahmed, K.F., Monsoor, N. and Hasan, M. (2024). A comprehensive dataset and deep learning approach for misinformation detection on social media in Bangladesh, International Journal of Computing and Digital Systems, 16(1), 1-10.
Gani, R., Rashid, M.R.A., Ahmed, J., Isty, M.N., Islam, M., Hasan, M., Ferdaus, M.H. and Ali, M.S. (2024). Smartphone image dataset to distinguish healthy and unhealthy leaves in papaya orchards in Bangladesh, Data in Brief, 55, 110599.
M.R.A. Rashid, Md S. Hossain, M.D. Fahim, Md S. Islam, R.H. Prito, Md S.A. Sheikh, Md S. Ali, M. Hasan, and M. Islam, "Comprehensive dataset of annotated rice panicle image from Bangladesh". Data in Brief, 51 (2023), p.109772. https://doi.org/10.1016/j.dib.2023.109772.
M.R.A. Rashid, K.F. Hasan, Md. R. Hasan, A. Das, M. Sultana, M. Hasan, "A Comprehensive Dataset for Sentiment and Emotion Classification from Bangladesh E-Commerce Reviews". Data in Brief, 2023.
R.A. Rizvee, T.H. Orpa, A. Ahnaf, Md A. Kabir, M.R.A. Rashid, M.M. Islam, M. Islam, T. Jabid, and Md S. Ali, "LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases". Journal of Agriculture and Food Research, 14 (2023), p.100787. https://doi.org/10.1016/j.jafr.2023.100787.
M.M.A. Joy, I.J. Bushra, R. Ayshee, S. Hasan, S.B. Hassan, Md. S. Ali, O. Farrok, M.R.A. Rashid and M. Islam, "Contactless Surveillance for Preventing Wind-Borne Disease using Deep Learning Approach". International Journal of Advanced Computer Science and Applications (IJACSA), 13(11), (2022), http://dx.doi.org/10.14569/IJACSA.2022.0131190.
I.A. Emu, N.T. Niloy, B.M.A. Karim, A. Chowdhury, F.T. Johora, M. Hasan, T. Mittra, M.R.A. Rashid, T. Jabid, M. Islam, Md S. Ali, "ArsenicSkinImageBD: A comprehensive image dataset to classify affected and healthy skin of arsenic-affected people". Data in Brief, 52 (2024), p.110016. https://doi.org/10.1016/j.dib.2023.110016.
Md M. Mukto, M. Hasan, Md M.A. Mahmud, I. Haque, Md A. Ahmed, T. Jabid, Md S. Ali, M.R.A. Rashid, M.M. Islam, M. Islam, "Design of a real-time crime monitoring system using deep learning techniques". Intelligent Systems with Applications, 21 (2024), p.200311. https://doi.org/10.1016/j.iswa.2023.200311.
ASM Shihavuddin, Mohammad Rifat Ahmmad Rashid, Md Hasan Maruf, Muhammad Abul Hasan, Mohammad Asif ul Haq, Ratil H. Ashique, Ahmed Al Mansur, "Image based surface damage detection of renewable energy installations using a unified deep learning approach", Energy Reports, 7 (2021), 4566-4576.
Md. Nasim Adnan, Md. Majharul Haque, Mohammad Rifat Ahmmad Rashid, Mohammod Akbar Kabir, Abu Sadat Mohammad Yasin and Muhammad Shakil Pervez, "Comprehensive Interaction Model for Cloud Management", International Journal of Advanced Computer Science and Applications (IJACSA), 11(8), 2020.
Md. Majharul Haque, Md. Nasim Adnan, Mohammod Akbar Kabir, Mohammad Rifat Ahmmad Rashid, Abu Sadat Mohammad Yasin and Muhammad Shakil Pervez, "An Innovative Approach of Verification Mechanism for both Electronic and Printed Documents", International Journal of Advanced Computer Science and Applications (IJACSA), 11(8), 2020.
Md. Asifuzzaman Jishan, Khan Raqib Mahmud, Abul Kalam Al Azad, Mohammad Rifat Ahmmad Rashid, Bijan Paul, Md. Shahabub Alam, "Bangla language textual image description by hybrid neural network model", Indonesian Journal of Electrical Engineering and Computer Science, 2020.
Rashid, Mohammad, Marco Torchiano, Giuseppe Rizzo, Nandana Mihindukulasooriya, and Oscar Corcho. "A quality assessment approach for evolving knowledge bases." Semantic Web, 10(2) (2019): 349-383.
Rashid, Mohammad Rifat Ahmmad, Giuseppe Rizzo, Marco Torchiano, Nandana Mihindukulasooriya, Oscar Corcho, and Raul Garcia-Castro. "Completeness and consistency analysis for evolving knowledge bases." Journal of Web Semantics, 54 (2019): 48-71.
Rashid, Md Rifat Ahmmad, Mir Tafseer Nayeem, Kamrul Hasan Talukder, and Md Saddam Hossain Mukta. "A Progressive Image Transmission Method Based on Discrete Wavelet Transform (DWT)." International Journal of Image, Graphics and Signal Processing 4(10) (2012): 18.
Book Chapter
Mohammad Rifat Ahmmad Rashid, Davide Conzon, Xu Tao, and Enrico Ferrera. "Privacy Awareness for IoT Platforms: BRAIN-IoT Approach." In Security and Privacy in the Internet of Things: Challenges and Solutions, Vol. 27 of Ambient Intelligence and Smart Environments (2020), DOI: 10.3233/AISE200003.
Mohammad Rifat Ahmmad Rashid, Davide Conzon, Xu Tao, and Enrico Ferrera. "Privacy Awareness, Risk Assessment, and Control Measures in IoT Platforms: BRAIN-IoT Approach", in Security Risk Management for the Internet of Things: Technologies and Techniques for IoT Security, Privacy and Data Protection, 2020. DOI: 10.1561/9781680836837.ch4.
B. Paul, A. Roy, K.R. Mahmud, and M.R. Rashid, "Real-Time Data Analysis of COVID-19 Vaccination Progress Over the World". In Data Science for Effective Healthcare Systems, pp. 79-88. Chapman and Hall/CRC, 2022.
Conference
M. Mahajebin, M.R.A. Rashid, and N. Mansoor, "Mood Classification of Bangla Songs Based on Lyrics". In International Conference on Information, Communication and Computing Technology, pp. 585-597. Springer Nature Singapore, 2023.
Md Huzaifa, F.B. Fabin, N.T. Natasha, I. Fakir, S.A. Falguni, M. Hasan, and M.R.A. Rashid, "DeepTestDroid: A Platform for Automated Application Testing Using Deep Learning". In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
N. Vasker, A.R.A. Sowrov, M. Hasan, Md S. Ali, M.R.A. Rashid, and M.M. Islam, "Unmasking Ovary Tumors: Real-Time Detection with YOLOv5". In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
K.F. Arpa, T. Mittra, T. Ferdous, N. Jahan, R.A.K. Tayna, M. Hasan, M.R.A. Rashid, and Md S. Ali, "A Machine Learning and Deep Learning Integrated Model to Detect Criminal Activities". In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
A. Haque, M. Hasan, S.A. Suma, N. Vasker, Md M. Ashhab, Md S. Ali, M.R.A. Rashid, and M.S.H. Khan, "Detecting Pneumonia from X-Ray Images of Chest using Deep Convolutional Neural Network". In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP), pp. 1-6. IEEE, 2023.
S. Nath, M.M. Islam, A. Chowdhury, M.R.A. Rashid, M. Islam, T. Jabid, and R. Naha, "Comprehensive Analysis of Feature Extraction Techniques and Runtime Performance Evaluation for Phishing Detection". In 2023 6th International Conference on Applied Computational Intelligence in Information Systems (ACIIS), pp. 1-6. IEEE, 2023.
N.A. Bosunia, M. Hasan, J. Prity, J.J. Jabin, M.R.A. Rashid, R.A. Tuhin, "An Application of Decentralized Product Authentication System for Supply Chain Management Using Blockchain Technology". In 26th International Conference on Computer and Information Technology (ICCIT), IEEE, 2023.
S.T. Tasnim, Md A. Islam, R.J. Taifa, S. Mahbub, and M.R.A. Rashid, "Agri-food Traceability Using Blockchain Technology to Ensure Value Chain Management and Fair Pricing in Bangladesh". In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), pp. 1-6. IEEE, 2022.
Shanta Saha, Md. Omar Sharif Rajme, Bijan Paul, Mohammad Rifat Ahmmad Rashid and Khan Raqib Mahmud, "Life Saver Robotic Car for Accidental or Disaster Place Emergency Situation", ICT4SD 2020 5th International Conference.
Fatema Zaman Sinthia, Afsana Nasir, Bijan Paul, Mohammad Rifat Ahmmad Rashid and Md Nasim Adnan, "Implementation of OSPFv3 in IPv4 and IPv6 for Established a Wide Area Network", ICT4SD 2020 5th International Conference.
Conzon, Davide, Mohammad Rifat Ahmmad Rashid, Xu Tao, Angel Soriano, Richard Nicholson, and Enrico Ferrera. "BRAIN-IoT: Model-Based Framework for Dependable Sensing and Actuation in Intelligent Decentralized IoT Systems." In 2019 4th International Conference on Computing, Communications and Security (ICCCS), pp. 1-8. IEEE, 2019.
Rashid, Mohammad, Giuseppe Rizzo, Marco Torchiano, Nandana Mihindukulasooriya, and Oscar Corcho. "Knowledge Base Evolution Analysis: A Case Study in the Tourism Domain." In International Conference on Web Engineering, pp. 268-278. Springer, 2018.
Mihindukulasooriya, Nandana, Mohammad Rifat Ahmmad Rashid, Giuseppe Rizzo, Raul Garcia-Castro, Oscar Corcho, and Marco Torchiano. "RDF shape induction using knowledge base profiling." In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, pp. 1952-1959. 2018.
Mohammad Rashid, Giuseppe Rizzo, Nandana Mihindukulasooriya, Marco Torchiano, and Oscar Corcho, "KBQ - A Tool for Knowledge Base Quality Assessment Using Temporal Analysis", Workshop on Machine Reading Co-located with K-CAP 2017.
Rashid, Mohammad, and Marco Torchiano. "A systematic literature review of open data quality in practice." In Proceedings of 2nd Open Data Research Symposium (ODRS), Madrid, Spain, 2016.
Rashid, Mohammad, Luca Ardito, and Marco Torchiano. "Energy consumption analysis of algorithms implementations." In 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 1-4. IEEE, 2015.
Rashid, M., Ardito, L., and Torchiano, M. (2015). Energy consumption analysis of image encoding and decoding algorithms. In 2015 IEEE/ACM 4th International Workshop on Green and Sustainable Software, pp. 15-21. IEEE.
Moumita Kabir, Fatima Noor Popy Bijan Paul, Mohammad Rifat Ahmmad Rashid and Khan Raqib Mahmud, "Obstacle avoiding and Fire Extinguishing Robot for Everyday Fire Security", ICT4SD 2020 5th International Conference.