Farida Siddiqi Prity
Lecturer
Research Interests
Machine Learning, Deep Learning, Federated Learning, Image Processing, Knowledge Distillation Techniques
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| Degree | Major / Field | Institute / University | Passing Year | Result / GPA |
|---|---|---|---|---|
| MSc in Engineering | Information and Communication Engineering | Noakhali Science and Technology University, Bangladesh | 2022 | 3.83 (1st position) |
| BSc in Engineering | Information and Communication Engineering | Noakhali Science and Technology University, Bangladesh | 2020 | 3.76 (1st position) |
| HSc | Science | Comilla, Bangladesh | 2015 | 5.00 |
| SSc | Science | Comilla, Bangladesh | 2013 | 5.00 |
MSc in Engineering
2022
Information and Communication Engineering
Noakhali Science and Technology University, Bangladesh
Result: 3.83 (1st position)
BSc in Engineering
2020
Information and Communication Engineering
Noakhali Science and Technology University, Bangladesh
Result: 3.76 (1st position)
HSc
2015
Science
Comilla, Bangladesh
Result: 5.00
SSc
2013
Science
Comilla, Bangladesh
Result: 5.00
| Position Title | Organization | Location | Duration |
|---|---|---|---|
| Lecturer | Shanto-mariam University of Creative Technology | Uttara, Dhaka | Nov 2023 – Jan 2025 |
Lecturer
Nov 2023 – Jan 2025
Shanto-mariam University of Creative Technology
Uttara, Dhaka
Research Focus & Key Interests
Machine Learning, Deep Learning, Federated Learning, Image Processing, Knowledge Distillation Techniques
- Hossain, M.I., Maruf, M.H., Khan, M.A.R., Prity, F.S., Fatema, S. and Ejaz, M.S. et al. (2023) ‘Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison’, Iran Journal of Computer Science, 6(4), pp. 397–417.
- Prity, F.S., Gazi, M.H. and Uddin, K.M.A. (2023) ‘A review of task scheduling in cloud computing based on nature-inspired optimization algorithm’, Cluster Computing, 26(5), pp. 3037–3067.
- Prity, F.S., Hasan, M.D.M., Saif, S.H., Hossain, M.M., Bhuiyan, S.H. and Islam, M.A. et al. (2024) ‘Enhancing agricultural productivity: A machine learning approach to crop recommendations’, Human-Centric Intelligent Systems, 4(4), pp. 497–510.
- Prity, F.S., Uddin, K.M.A. and Nath, N. (2024) ‘Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects’, Iran Journal of Computer Science, 7(2), pp. 337–358.
- Prity, F.S., Islam, M.S., Fahim, E.H., Hossain, M.M., Bhuiyan, S.H. and Islam, M.A. et al. (2024) ‘Machine learning-based cyber threat detection: an approach to malware detection and security with explainable AI insights’, Human-Intelligent Systems Integration, 6(1), pp. 61–90.
- Khan, M.A.R., Afrin, F., Prity, F.S., Ahammad, I., Fatema, S., Prosad, R. and Hasan, M.K. et al. (2023) ‘An effective approach for early liver disease prediction and sensitivity analysis’, Iran Journal of Computer Science, 6(4), pp. 277–295.
- Uddin, K.M.A., Prity, F.S., Tasnim, M., Jannat, S.N., Faruk, M.O., Islam, J. and Murad, S.A. et al. (2023) ‘Machine learning-based screening solution for COVID-19 cases investigation: socio-demographic and behavioral factors analysis and COVID-19 detection’, Human-Centric Intelligent Systems, 3(4), pp. 441–460.
- Prity, F.S., Hasan, A.J., Anik, M.M.H., Hossain, R., Hossain, M.M. and Bhuiyan, S.H. et al. (2024) ‘RvXmBlendNet: a multi-architecture hybrid model for improved skin cancer detection’, Human-Centric Intelligent Systems, 4(4), pp. 545–570.
- Prity, F.S. and Hossain, M.M. (2024) ‘A comprehensive examination of load balancing algorithms in cloud environments: a systematic literature review, comparative analysis, taxonomy, open challenges, and future trends’, Iran Journal of Computer Science, 7(3), pp. 663–698.
- Prity, F.S. (2025) ‘Nature-inspired optimization algorithms for enhanced load balancing in cloud computing: a comprehensive review with taxonomy, comparative analysis, and future trends’, Swarm and Evolutionary Computation, 97, 102053.
- Prity, F.S., Nath, N., Nath, A. and Uddin, K.M.A. (2023) ‘Neural network-based strategies for automatically diagnosing COVID-19 from X-ray images utilizing different feature extraction algorithms’, Network Modeling Analysis in Health Informatics and Bioinformatics, 12(1), 28.
- Prity, F.S., Raquib, M., Murad, S.A., Rafi, M.J.A., Bhuiyan, M.K.B. and Bairagi, A.K. (2025) ‘Neural Network-Based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-Based Model and Direct Imaging Model’, Food Science & Nutrition, 13(12), e71350.
- Prity, F.S., Raquib, M., Al Shiam, A., Hossain, M.M. and Uddin, K.M.A. (2026) ‘Rice disease classification using feed-forward neural network: comparative analysis between hybrid and single feature extraction algorithms’, Franklin Open, 100501.
- Prity, F.S., Ali, M.R., Rahman, M., Raquib, M. and Hossain, M.M. et al. (2025) ‘Integrating explainable AI with machine learning for reliable autism spectrum disorder diagnosis’, Human-Intelligent Systems Integration, 7(1), pp. 99–117.
- Prity, F.S., Hossain, M.M., Hossain, M.M., Uddin, M.S., Islam, M.R. and Raquib, M. et al. (2025) ‘Artificial intelligence-powered environmental sound recognition with explainable AI techniques’, Iran Journal of Computer Science, 8(4), pp. 1801–1834.
- Raquib, M., Hossain, M.A., Rafi, M.J.A., Newaz, I., Hossain, M.M., Rony, M. and Prity, F.S. et al. (2024) ‘VashaNet-V2: Bangla Handwritten Character Recognition Using a Novel Deep Convolutional Neural Network and an Extended Original Dataset’, International Conference on Machine Intelligence and Emerging Technologies.
- Fatema, S., Khan, M.A.R., Prity, F.S., Hossain, M.B., Ejaz, M.S. and Khan, M.A.S. (2024) ‘Detection of estuarine benthic macroinvertebrates communities using artificial neural network’, International Journal of Information Technology, 16(2), pp. 1005–1014.
- Hossain, M.A., Raquib, M., Murad, S.A., Prity, F.S., Hanif, M. and Rahimi, N. (2026) ‘Robust and Real-Time Bangladeshi Currency Recognition: A Dual-Stream MobileNet and EfficientNet Approach’, IEEE Access.
- Prity, F.S., Arefin, I., Raquib, M. and Hoque, M.D.J. (2026) ‘Air Quality Prediction Using Machine Learning and Statistical Analysis: An Explainable AI Perspective’, Environmental Quality Management, 35(4), e70355.
- Raquib, M., Das, N., Prity, F.S., Fahim, A.A., Murad, S.A., Hossain, M.A. and Hoque, M.D. et al. (2025) ‘PSO-XAI: A PSO-enhanced explainable AI framework for reliable breast cancer detection’, arXiv preprint, arXiv:2510.20611.
- Sarkar, L.C., Prity, F.S., Hussain, F., Talukder, A., Raquib, M. and Rahman, S. et al. (2026) ‘The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies’, Computational and Systems Oncology, 6(1), e70018.
- Acharjee, S., Raquib, M., Biswas, K.N., Prity, F.S. and Alam, M.M. (2026) ‘An effective prediction model for heart failure: feature selection based supervised learning approach with a primary dataset’, Human-Intelligent Systems Integration, pp. 1–15.
- Nayem, F.M., Prity, F.S. and Al Shiam, A. (2026) ‘Emotion detection using AI with explainable AI based perception: a comparative analysis between machine learning and deep learning’, Informatics and Health, 3(2), pp. 164–209.
- Sarowar, A.B., Raquib, M., Forkan, M.I.U., Prity, F.S., Hoque, M.J. and Hossain, M.A. (2026) ‘A Hybrid Framework for Detection of Autism Spectrum Disorder (ASD) Using Deep Learning Algorithms’, 2026 International Conference on Power, Electronics, Communications and ....
- Tarifa, I.J., Forkan, M.I.U., Irfan, A.H., Prity, F.S., Hoque, M.D.J. and Hossain, M.A. et al. (2026) ‘A Novel Lightweight CNN Architecture for Multi-Class Brain Tumour Detection from MR Image’, 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence and ....
- Acharjee, S., Raquib, M., Forkan, M.I.U., Irfan, A.H., Prity, F.S., Hoque, M.J. et al. (2026) ‘Hybrid EfficientNet-B3 and Vision Transformer Model for Thyroid Nodule Classification with Explainable AI’, 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence and ....
- Raquib, M., Polok, A.P., Biswas, K.N., Prity, F.S., Murad, S.A. and Rahimi, N. (2026) ‘Multi-Head Attention based interaction-aware architecture for Bangla Handwritten Character Recognition: Introducing a Primary Dataset’, arXiv preprint, arXiv:2604.09717.
- Das, N.R., Raquib, M., Prity, F.S., Forkan, M.I.U., Irfan, A.H., Hoque, M.J. et al. (2026) ‘Hybrid Deep Learning Framework for Automated Plant Leaf Disease Detection’, 2026 IEEE International Conference on Interdisciplinary Approaches in ....
- Nayem, F.M. and Prity, F.S. (2026) ‘A comprehensive review of transfer learning techniques for predicting heart diseases’, Human-Intelligent Systems Integration, pp. 1–11.
- Prity, F.S., Raquib, M., Al Shiam, A., Hossain, M.M. and Uddin, K.M.A. (2026) ‘Rice disease classification using feed-forward neural network: comparative analysis between hybrid and single feature extraction algorithms’, Franklin Open, 100501.
- Naher, P.B., Prity, F.S., Uddin, K.M.A., Hossain, M.A. and Rahaman, A. (2025) ‘Machine learning-based prediction model for oxygen requirement in hospitalized COVID-19 patients’, Human-Intelligent Systems Integration, 7(1), pp. 155–171.
- Nayem, F.M.M., Rafe, M.I. and Arif, A.R. (2025) Mango_Fruit_Disease_Dataset. Mendeley Data.
- Raquib, M., Hossain, M.A., Rafi, M.J.A., Newaz, I., Hossain, M.M., Rony, M. and Prity, F.S. et al. (2024) ‘Correction to: VashaNet-V2: Bangla Handwritten Character Recognition Using a Novel Deep Convolutional Neural Network and an Extended Original Dataset’, International Conference on Machine Intelligence and Emerging Technologies.
Machine Learning
Cloud Computing
Networking
Object Oriented Programming
No membership information recorded
Professional memberships and committee affiliations will appear here.
NST Fellowship
ICT Ministry Fellowship
UGC Research Grants
Working as a reviewer in many international journals.