Profile

M.Sc. Engineering in Computer Science and Engineering (CSE)
Khulna University of Engineering & Technology (KUET)
Dec2025–Present
B.Sc. Engineering in Computer Science and Engineering (CSE)
Bangladesh Army University of Science and Technology (BAUST) Khulna
Saidpur, Nilphamari
Jul 2021–Jul 2025
CGPA: 3.90 (First Class First)
Higher Secondary Certificate (HSC)
Rangpur Police Lines School and College
Board: Dinajpur
Group: Science
GPA: 5.00 (Government Scholarship)
Secondary School Certificate (SSC)
Police Lines School and College
Board: Dinajpur
Group: Science
GPA: 5.00

Peer-ReviewedConferencePapers

• [1] S. Ahmed, R. Sultana, A. Ali, M. A. Mandal, and N. Reza, A large-scale multi-crop leaf disease dataset and benchmarking of deep learning models with explainable predictions, in 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), pp. 1–6. DOI: 10.1109/QPAIN69676. 2026.11545839 [2026].
• [2] S.Ahmed,R.Sultana,Q.M.Rahman,A.Ali,andK.Syfullah, Lightweight and interpretable deep learning for automatedwasteclassification, in 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), pp. 1–6. DOI: 10.1109/QPAIN69676.2026.11545857 [2026].
• [3] A.Ali,N.Jahan,A.H.Sagor,S.J.Alam,andS.Ahmed,Lightweightandinterpretablecnnsforbark-basedtree species classification, in 2025 28th International Conference on Computer and Information Technology (ICCIT), pp. 2187–2192. DOI: 10.1109/ICCIT68739.2025.11490516 [2025]. [4] M.A.Mandal, S. S. Khushi, M. Z. Hassan, A. Ali, S. Ahmed, and R. Amin, Image surface micro-texture classification using an ensemble deep learning technique, in 2025 28th International Conference on Computer and Information Technology (ICCIT), pp. 4112–4117. DOI: 10.1109/ICCIT68739.2025.11490109 [2025].

Myresearch focuses on explainable and lightweight deep learning for computer vision, with emphasis on interpretable model design, the construction of datasets for under-represented domains. Application areas include agricultural and medical image analysis, waste classification. I aim to pursue graduate research that advances trustworthy, resource-efficient machine learning.