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Summer Research Intern, University of Illinois Urbana-Champaign |
Remote | July 2026 – Present
- Selected for the UIUC++ SRSE 2026 Summer Research Program, a four-month fully remote research program at the University of Illinois Urbana-Champaign.
- Conducting research in Responsible AI and Human–Computer Interaction (HCI). Supervised by Dr. Sharifa Sultana.
- Collaborating with an international cohort of researchers from diverse backgrounds.
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Research Intern — Vision, Language & Agentic Systems
Computational Intelligence and Operations Laboratory (CIOL) |
Remote | January 2026 – Present
- Supervised by Dr. Dong-Kyu Chae (Assistant Professor, Hanyang University), working across computer vision, natural language processing, and agentic systems: training-free visual anomaly localisation, LLM evaluation on politically sensitive text, and the design of reliable tool-using agents.
- Co-author (equal contribution) on SphereAD, a hyperspherical self-reference method for training-free anomaly localisation that transfers across domains without per-domain fitting. Under review at WACV 2026 (CORE A).
- First author on Harness Recession, studying when scaffolding around a language model improves task performance and when it constrains an already capable model.
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Research Assistant, Apurba-NSU R&D Lab, North South University |
Dhaka, Bangladesh | December 2025 – June 2026
- Supervised by Dr. Nabeel Mohammed and Dr. Shafin Rahman, working on multimodal learning and model compression.
- Lead author on Teacher-Guided One-Shot Pruning via Context-Aware Knowledge Distillation, published at IEEE BigData 2025 (CORE B, 18.8% acceptance), which uses context-aware knowledge distillation from a teacher to prune a network in a single shot, avoiding iterative prune-and-retrain cycles.
- Co-author (equal contribution) on CLIPByte, a tokenizer-free vision–language model for multilingual open-vocabulary image captioning across six typologically diverse languages, aligning a CLIP ViT-B/32 visual encoder with a ByT5-small byte-level decoder to remove tokenizer-induced out-of-vocabulary bottlenecks; submitted to WACV 2026 (CORE A) as When Bytes Take It All: CLIPByte for Tokenizer-Free Captioning via Byte-Level Vision–Language Bridging.
- Also contributed to CAT-GS: Calibrated Adaptive Gating for Balanced and Robust Multimodal Learning (Neurocomputing, Q1) with the same group.
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Research Assistant, Charles Sturt University |
Remote | January 2024 – 2025
- Research in AI for healthcare and neuroimaging, supervised by Dr. Mohammad Ali Moni in collaboration with Dr. Mohammad Abu Yousuf.
- Led work on multi-teacher knowledge distillation for brain-tumor classification with explainable-AI overlays for resource-constrained deployment. Published as first author in Knowledge-Based Systems (Q1, IF 8.0).
- Led work on LLM evaluation of crisis sentiment during Bangladesh’s July Uprising, testing whether large language models can track public sentiment on social media through the course of a national crisis. Published as first author at AACL 2026 (Main): Can LLMs Follow the Pulse of a Crisis? Evaluating Crisis Sentiment in Bangladesh’s July Uprising.