Md. Ismail Hossain
Scholar

Md. Ismail Hossain

Google Scholar ID: 8f7b5YIAAAAJ
Researcher, Apurba-NSU R&D Lab, North South University
Deep LearningComputer VisionNatural Language Processing
Citations & Impact
All-time
Citations
75
 
H-index
5
 
i10-index
4
 
Publications
10
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted at top venues including EMNLP 2025 Industry Track (2 papers), TMLR, Nature Scientific Data, IEEE SMC, IEEE Transactions on Artificial Intelligence (TAI), BMVC 2024, ICLR 2024 (PML4LRS workshop), ICPR 2022, IEEE Access, PLOS ONE, ICSCA 2023, and ICISET 2022.
  • Awarded a research grant by the Research & Innovation Center (RIC), Government of Bangladesh (March 2025).
  • Recipient of the Fatima Fellowship (September 2024).
  • Accepted to Oxford Machine Learning Summer School (OxML 2025).
  • Presented a Lightning Talk on LumiNet at C4AI (March 2024).
  • Invited to present research at a conference organized by the Bangladesh Data Science Society and a2i, ICT Division, Government of Bangladesh (October 2022).
  • Second Runner-Up in DL-Sprint (National ASR Contest), 2022.
  • Invited to review for top-tier conferences/journals including ICLR, NeurIPS, Pattern Recognition (IF 7.19), LXAI @ ICML 2025, JCNN, and Machine Learning and Compression Workshop @ NeurIPS 2024.
Background
  • Currently a researcher at the Apurba-NSU R&D Lab, North South University, working under the guidance of Dr. Shafin Rahman and Dr. Nabeel Mohammed.
  • Recently began collaborating with Dr. Isidora Tourni as part of the Fatima Fellowship program supported by HuggingFace and Google Colab.
  • Has broad research interests but currently focuses on improving the efficiency of deep learning algorithms through pruning and knowledge distillation.
  • Exploring how capabilities of large language models can be distilled into other domains to address classical machine learning challenges.
  • Deeply passionate about AI ethics and enjoys philosophical discussions that enrich his AI research.