Sabbir Ahmed

About

I am working as an Assistant Professor in the Dept of CSE at Islamic University of Technology (IUT). At present, I am a member of the Computer Vision lab, advised by Prof. Hasanul Kabir. Before that, I received my M.Sc. and B.Sc. (Gold medalist) in CSE from IUT, respectively, in the year 2022 and 2017.

My current research is in improving few-shot learning algorithms for image classification tasks. Besides, I've worked with different applications of deep learning in the fields of Computer Vision and Natural Language Processing, such as, leaf disease classification, gait analysis, traffic sign detection, text summarization, handwritten digit recognition, etc.

Employment

• Islamic University of Technology Assistant Professor
  2022 - Present
• Islamic University of Technology Lecturer
  2018 - 2022

Education

• Islamic University of Technology M.Sc
  2018 - 2022
• Islamic University of Technology B.Sc.
  2014 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (40)

• CricShot10k: A Large-Scale Video Dataset for Cricket Shot Classification
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3663220
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• DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data
  2026 DOI: 10.1007/978-981-95-4395-3_10
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• Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors
  2026 DOI: 10.1007/978-3-032-15764-5_46
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• AQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditions
  Arabian Journal for Science and Engineering 2026 DOI: 10.1007/s13369-026-11231-z
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• An integrated blockchain and IPFS-based solution for secure and efficient source code repository hosting using middleman approach
  PLOS One 2025 DOI: 10.1371/journal.pone.0331131
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• AQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditions
  2025 DOI: 10.48550/ARXIV.2506.17455
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• DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data
  2025 DOI: 10.48550/ARXIV.2506.18173
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• Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model
  2025 DOI: 10.48550/ARXIV.2505.24007
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• FUSED-Net: Detecting Traffic Signs with Limited Data
  2025 DOI: 10.48550/ARXIV.2409.14852
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• Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
  2024 DOI: 10.48550/ARXIV.2410.07260
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