Adit Ishraq
Master's in Computer and Systems Sciences
Researcher
Contact:
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
E-mail:
iamaditishraq@gmail.comTelephone:
Office:
Cell:
I'm Adit Ishraq, a computer scientist from Dhaka, Bangladesh. I earned my Bachelor's in Computer Science and Engineering and am currently pursuing a Master's at Stockholm University. As a Research Assistant, I improved Content-Based Image Retrieval and assessed building damage in satellite imagery. As a Research Engineer, I specialized in deep learning for agricultural computer vision, creating a Supervised Contrastive Learning algorithm for classifying Cassava Leaf Disease. I share my insights through publications, contributing actively to the field.
Kabir, Md Mohsin, Adit Ishraq, Kamruddin Nur, and M. F. Mridha. ”Content‑Based Image Retrieval Using Au‑
toEmbedder.” Journal of Advances in Information Technology Vol 13, no. 3 (2022).
1. Ishraq, Adit, Aklima Akter Lima, Md Mohsin Kabir, Md Saifur Rahman, and M. F. Mridha. ”Assessment of Build‑
ing Damage on Post‑Hurricane Satellite Imagery using improved CNN.” In 2022 International Conference on
Decision Aid Sciences and Applications (DASA), pp. 665‑669. IEEE, 2022.
2. A. Ishraq, S. Arafah, S. A. Mim, N. J. Shammey, D. F. Mridha, and M. S. Rahman.Cassava leaf disease classifica‑
tion using supervised contrastive learning. In International Conference on Machine Intelligence and Emerging
Technologies, 2022.
3. N. J. Shammey, A. Ishraq, S. Arafah, S. A. Mim, D. F. Mridha, and M. S. Rahman.Classification of rice varieties
using resnet‑18 networks. In International Conference on Big Data, IoT and Machine Learning (BIM 2023) .
Annual Research Publication Award from Advanced Machine Learning Lab
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