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Jannatul Ferdous Esha

Jannatul Ferdous Esha

Lecturer
Department of Electrical & Electronic Engineering (EEE), Canadian University of Bangladesh

Master of Science (M.Sc.) in Information and Communication Engineering – Bangladesh University of Professionals (BUP)

Bachelor of Science (B.Sc.) in Information and Communication Engineering – Bangladesh University of Professionals (BUP)



Short Biography

Jannatul Ferdous Esha is a Lecturer in the Department of Electrical and Electronic Engineering at the Canadian University of Bangladesh. She holds a Master of Science in Information and Communication Engineering from Bangladesh University of Professionals (BUP), with a CGPA of 3.71, and a Bachelor of Science in Information and Communication Engineering from BUP, with a CGPA of 3.78. Her academic background includes intelligent systems, machine learning, artificial intelligence, data mining, cloud computing, networking, and telecommunications.

Before joining academia, she worked as a Web Developer at Purple Patch, where she developed Django-based web applications and RESTful APIs, and as a Machine Learning Engineer at CraftyCode Tech, where she worked on end-to-end machine learning pipelines, model development, evaluation, and production deployment.

Her research interests include deep learning, computer vision, biomedical image analysis, medical artificial intelligence, natural language processing, large language models, multimodal learning, generative AI, and explainable AI. Her research work has resulted in publications in international journals and conferences, including IEEE Access and Diagnostics. Her research contributions include Parkinson’s disease classification, brain hemorrhage detection, lung cancer-related analysis, face recognition, and polycystic ovary syndrome diagnosis. She is also interested in developing practical AI-driven applications that integrate machine learning with web-based systems.

Research Interest

Deep Learning, Computer Vision, Biomedical Image Analysis, Medical AI, Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), Multimodal Learning, Explainable AI (XAI)

Journal Section
  1. Esha, J. F., Islam, T., Pranto, M. A. M., Borno, A. S., Faruqui, N., Yousuf, M. A., Azad, A. K. M., Al-Moisheer, A. S., Alotaibi, N., Alyami, S. A., and Moni, M. A., “Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated Disabilities,” Diagnostics, vol. 14, no. 20, p. 2282. https://doi.org/10.3390/diagnostics14202282
  2. Ahmed, S., Esha, J. F., Rahman, M. S., Kaiser, M. S., Hosen, A. S., Ghimire, D., and Park, M. J., “Exploring deep learning and machine learning approaches for brain hemorrhage detection,” IEEE Access, vol. 12, pp. 45060–45093. https://doi.org/10.1109/ACCESS.2024.3376438
  3. Taher, K. A., Ahmed, S., Esha, J. F., Rahman, M. S. R., and Hosen, A. S. M. S., “Multilayer stacking for polycystic ovary syndrome diagnosis,” IAES International Journal of Artificial Intelligence, vol. 14, no. 3, pp. 1968–1975. https://doi.org/10.11591/ijai.v14.i3.pp1968-1975
Conference Section
  1. Esha, J. F., and Yousuf, M. A., “Enhancing Parkinson’s Disease Classification Using LSTM Networks and Attention Mechanisms,” in Proceedings of the 3rd International Conference on Computing Advancements, pp. 809–815. https://doi.org/10.1145/3723178.3723285
  2. Esha, J. F., Habib, L., Nisa, S. S., and Rahaman, A. S. M. M., “Real-Time Face Detection and Recognition for Secure Access Control Using Deep Learning,” International Conference on Intelligent Data Analysis and Applications (IDAA), Bangladesh. https://doi.org/10.2991/978-94-6239-664-742
  3. Naser, F., Esha, J. F., Ahmed, S., and Ullah, S. M., “PDNet: A Deep Convolutional Neural Network for Detecting Parkinson’s Disease,” International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh. https://doi.org/10.1109/QPAIN69676.2026.11546358
Sl Collaboration & Membership Name Type Year Expire Year
1 Institute of Electrical and Electronics Engineers (IEEE) Member

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