Machine Learning

Karthik Desingh's research focuses on addressing problems in sensing and perceiving the world for robot grasping, manipulation, and navigation. More precisely, he focuses on providing perceptual capabilities for robots using deep learning and probabilistic techniques to enable them to interact with objects and perform tasks in unstructured environments. His research interests broadly lie at the intersection of robotics, computer vision, and machine…

My research interests include evaluating and developing novel computational approaches to natural speech and language processing in the medical domain, including text of medical records and language produced by patients during cognitive testing. I study spontaneous speech and language characteristics indicative of effects of medications and neurodegenerative disorders on human cognition, and work on developing natural language processing and machine…

Caiwen Ding's research interests include algorithm-system co-design of machine learning/artificial intelligence; privacy-preserving machine learning; machine learning for electronic design automation (EDA); and computer architecture.

• Mathematical foundations of machine learning and data sciences 
• Applied probability and stochastic dynamics 
• Applied analysis and PDEs 
• Bayesian and computational statistics 
• Inverse problems and uncertainty quantification

Yulong Lu Research Website

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• Mathematical foundations of machine learning and data sciences 
• Applied probability and stochastic dynamics 
• Applied analysis and PDEs 
• Bayesian and computational statistics 
• Inverse problems and uncertainty quantification

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