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Fahmida Ahmed

Lecturer — Department of Computer Science & Engineering

Fahmida Ahmed

Lecturer - Department of Computer Science & Engineering

Email: iftyfahmida@bubt.edu.bd

Blood Group: AB+

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Professional Summary

Fahmida Ahmed is a Lecturer in the Department of Computer Science and Engineering at Bangladesh University of Business and Technology (BUBT), with nearly two years of experience in academia. She has completed her B.Sc. in Computer Science and Engineering from Chittagong University of Engineering and Technology (CUET) and is currently pursuing her M.Sc. at Bangladesh University of Engineering and Technology (BUET). Prior to joining BUBT, she served as a Lecturer in the Department of CSE at Bangladesh Army International University of Science and Technology (BAIUST). Her research interests focus on Computer Vision, Deep Learning, Medical Image Analysis, and Artificial Intelligence, with particular emphasis on label-efficient learning, data-efficient deep learning, multimodal AI, and Vision-Language Models. Her research aims to develop robust and reliable AI models that can learn effectively from limited labeled data, particularly for real-world and healthcare applications. She is also interested in Explainable AI, trustworthy AI, and privacy-preserving approaches for developing reliable and responsible intelligent systems.

Education

Secondary School Certificate (SSC)

Major: Science

Institute: Comilla

Passing Year: 2016

Higher Secondary Certificate (HSC)

Major: Science

Institute: Comilla

Passing Year: 2018

Bachelor of Science (B.Sc. Hons)

Major: Computer Science and Engineering

Institute: Chittagong University of Engineering & Technology

Passing Year: 2024

Academic Experience

Institute Department Position Year
Bangladesh Army International University of Science and Technology CSE Lecturer 03 Nov 2024 - 07 Aug 2025

Professional Experience

Institute Department Position Year

Journal Papers

Fahmida Ahmed, Md. Shalha Mucha Bhuyan, "Advancing Bangla Sign Language Recognition Through Deep Learning Techniques, " In: 2025 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), 6 (2025-01-01) . 10.1109/NCIM65934.2025.11159861

AWARDS AND RESEARCH GRANTS

Award Title Organization Award year Awardee Position Award Description