BBMMLL
(B Bhattarai Multi-Modal Learning Lab)
Active
The B Bhattarai MultiModal Learning Lab is at the forefront of developing robust and interpretable machine learning algorithms. Our mission is to pioneer algorithms that can reason across complex, heterogeneous data to address some of the most critical challenges in healthcare, energy, and global agriculture. We are dedicated to building a global research pipeline that fosters talent and innovation guided by the philosophy: to build AI that is not only powerful but also trustworthy and explainable.
Focus Area
Impact Area
Research Projects
AI-Enhanced Coronary Artery Disease Diagnostics from X-Ray Angiography
AI-Enhanced Coronary Artery Disease Diagnostics from X-Ray Angiography
Medical Image Analysis | Computer Vision | Clinical Decision Support | Low-Resource AIYRDBSB
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NepBERTa, Nepali Language Model
NepBERTa, Nepali Language Model
Natural Language Processing (Large Language Models) | Low-resource NLP | NLP &Text AnalysisDB
Members
Current Members
Alumni
Publications
2025
Out of Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit
Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Anh Nguyen, Yash Raj Shrestha, Angus Watson, Danail Stoyanov, Prashnna Gyawali, Binod Bhattarai
2025
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
Bidur Khanal, Sandesh Pokhrel, Sanjay Bhandari, Ramesh Rana, Nikesh Shrestha, Ram Bahadur Gurung, Cristian Linte, Angus Watson, Yash Raj Shrestha, Binod Bhattarai
2025
Multimodal Federated Learning With Missing Modalities through Feature Imputation Network
Pranav Poudel, Aavash Chhetri, Prashnna Gyawali, Georgios Leontidis, Binod Bhattarai
2025
NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance
Anju Chhetri, Jari Korhonen, Prashnna Gyawali, Binod Bhattarai
2025
Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation
