My research spans three interconnected areas: medical imaging analysis, efficient neural networks, and dense 3D reconstruction. Each builds upon lessons from the previous, driven by a central question: How can we make the advancements in visual computing more accessible and effective, particularly in healthcare settings?
I earned my BS in Computer Science & Engineering from Rajshahi University of Engineering & Technology (RUET) in 2024.
Currently, I’m an ML Engineer at ACI Limited in Bangladesh, where I integrate machine learning across pharmaceuticals, agribusiness, and retail. My work spans computer vision, time series forecasting, and business analytics. Recently, I implemented vision-based customer tracking for Bangladesh’s largest retail chain.
Research Interests:
- Dense 3D Reconstruction and Novel View Synthesis
- Visual Computing
- AI for Healthcare and Social Good
- Efficient ML Systems
- Interpretability and Fairness in User-Centric AI
News
| August, 2024 | Took the GRE General Test. (327, Quant: 168, Verbal: 159, AWA: 5.0) |
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| July, 2024 | Secured 3rd place in the 2nd AVA Challenge@IEEE MIPR 2024, predicting accident risk from dashcam footage; invited to co-author the challenge summary paper. details here |
| May, 2024 | My team, ACI_ServerDown has been crowned the Champion of Robi Datathon 3.0, the biggest data science competition in Bangladesh. press release links: 12 |
| February, 2024 | Earned a Bronze Medal for my 3D Kidney Vasculature Segmentation notebook in Kaggle’s SenNet + HOA - Hacking the Human Vasculature in 3D competition |
| December, 2023 | Participated (virually) in NeurIPS 2023. Extended abstract of my work, Scalable Multi-Teacher Gated Knowledge Distillation for Accurate & Efficient Leukemia Classification got accepted in the NeurIPS 2023 NewInML Workshop |