RESEARCH
// EXPLORING IDEAS
Academic research, experiments, and technical deep-dives
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Research Projects
TinyPointNeXt: Lightweight Architecture for Real-Time Human Detection in 3D Point Clouds
CompletedMay 1, 2025
A comprehensive study on efficient point cloud processing architectures, demonstrating that strategic model compression and optimized training procedures can achieve 81% parameter reduction while improving classification accuracy for dynamic object segmentation.
3D point cloudsdeep learningmodel compressionreal-time inferencesemantic segmentationautonomous systemscomputer vision
Advancing Echocardiography Segmentation with Machine Learning
CompletedDecember 15, 2023
A deep learning approach to echocardiography segmentation, focusing on cardiac structure identification, 3D reconstruction, and clinical impact.
machine learningmedical imagingdeep learningechocardiographybiomedical engineering