Advancing the boundaries of artificial intelligence through interdisciplinary research and collaborative innovation
Our research lab brings together experts from machine learning, neuroscience, cognitive science, and ethics to tackle the most pressing challenges in artificial intelligence. We focus on developing reliable, explainable, and human-centric AI systems that can be deployed in critical applications.
Developing frameworks and tools to ensure AI systems behave reliably and align with human values.
Building models that assist medical professionals in diagnosis, treatment planning, and personalized medicine.
Creating efficient AI systems for deployment on edge devices with limited computational resources.
Developing standardized methodologies to evaluate AI systems for alignment, robustness, and value consistency. The framework has been adopted by several research institutions and deployed in various real-world scenarios.
Collaborating with regional hospitals to deploy AI-driven medical imaging analysis tools that improve diagnostic accuracy and reduce time-to-diagnosis, particularly in resource-constrained settings.
Exploring novel neural architecture search algorithms and quantization techniques to deploy high-performing AI models on resource-constrained devices such as smartphones, drones, and IoT sensors.
We partner with academic institutions, industry leaders, and startups to solve grand challenges in AI.