Yasmin Nadia
Lecturer
Lecturer
yasmin.nadia@bracu.ac.bd
Address
CSE Department
4th floor, Room No # 4K70,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh
Yasmin Nadia graduated from Brac University in 2023 with a Bachelor of Science in Computer Science and Engineering.
She began her professional journey as a Software Engineer Trainee at BJIT Ltd., where she worked with the MERN stack from August 2023 to November 2023.
From October 2023, she served as an Adjunct Lecturer, teaching Data Communication, Discrete Mathematics, Computer Networks Theories, Object-Oriented Programming, and Microprocessor Labs. In October 2025, she joined as a Lecturer, continuing to teach the same subjects.
Her research interests include deep learning, computer vision, multimodal learning, and conditional content generation, with applications in neurological disorder detection and healthcare AI.
Title: Tomato Leaf Disease Classification with Vision Transformer Variants.
Citation Details:
Waheed Moonwar, Mohammad Rakibul Hasan Mahin, Yasmin Nadia, Fahmid Bin Kibria, Aurnab Biswas, Fatiha Ishrar Chowdhury, Sifat E. Jahan, Annajiat Alim Rasel.
Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part I, pp. 95–107.
Springer, Cham. https://doi.org/10.1007/978-3-031-47634-1_8
Accepting
As: |
Co-supervisor |
Level: |
Undergraduate |
Type: |
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AI Methods: Deep learning, computer vision, multi-modal learning, and conditional content generation.
Biomedical Applications: Applying AI to detect and analyse neurological and mental health disorders such as schizophrenia using brain imaging and behavioural data.
Human-Centered AI: Building ethical, explainable, and assistive AI systems for trustworthy healthcare applications.
