Computer Science

My research interest spans domain-specific acceleration chip design, computer architecture, and agile design automation. Specifically, my recent research centers around enabling ubiquitous AI-powered intelligent functionalities, particularly highlighting a holistic solution from efficient architectures, to chips, and to integrated systems and advocating the design insight of marrying algorithm-hardware co-design techniques with application-level…

Customizable computing with software-defined hardware acceleration:

• Hardware/software codesign for machine learning: especially for accelerating early-day CNNs, sub-8-bit mixed-precision CNNs, vision transformers, stable diffusion, low-bit training, and SNNs
• Hardware/software codesign for big data…

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…

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.