Research Projects
Our laboratory maintains a diverse portfolio of research projects, from fundamental studies to applied collaborations with industry partners.
Featured Projects
Explore our flagship research initiatives
Self-Supervised 3D Object Detection for Autonomous Vehicles
Developing novel self-supervised learning methods for 3D object detection that reduce the need for expensive labeled data. Our approach leverages temporal consistency and geometric constraints to learn robust 3D representations.
Funding Source
National Science Foundation
Amount
$850,000
Program
Robust Intelligence
AI-Powered Early Cancer Detection from Medical Imaging
Developing deep learning systems for early detection of multiple cancer types from CT, MRI, and X-ray images. Our models achieve radiologist-level performance while providing interpretable explanations.
Funding Source
National Institutes of Health
Amount
$1,200,000
Program
Cancer Moonshot Initiative
Multilingual Language Models for Low-Resource Languages
Creating language models that perform well on languages with limited training data. We focus on cross-lingual transfer and efficient adaptation techniques to support linguistic diversity.
Funding Source
Google Research
Amount
$600,000
Program
AI for Social Good
All Projects
Complete portfolio of our research initiatives
Autonomous Robotic Manipulation with Deep Reinforcement Learning
activeRobotics
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Theoretical Foundations of Transfer Learning
activeML Theory
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Fairness-Aware Machine Learning for Healthcare
activeEthics & Fairness
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Neural Architecture Search for Edge Devices
completedML Theory
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