Research Bio
Alvin Cheung is an associate professor in the Division of Computer Science. His research interests include program analysis, program synthesis, improving database application performance, and building big systems in general. Some current research themes:
- Verified lifting is a new technique for inferring properties of programs. They have applied this to database applications (QBS), stencil computations (STNG), programmable switches (Domino), parallel data processing frameworks (Casper), and the SandCat project.
- Leveraging programming languages techniques to build and optimize data management systems:Cosette, Hyperloop, and LightDB.
- Improving end user programming across different domains: CodeNN, Concode, and Scythe.
Research Expertise and Interest
program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages
In the News
Nine young professors receive Presidential Early Career Awards
Teaching
Introduction to Database Systems [COMPSCI 186]
Supervised Independent Study [COMPSCI 199]
Individual Research [COMPSCI 299]
Professional Preparation: Supervised Teaching of Computer Science [COMPSCI 399]
Master of Engineering Capstone Project [ENGIN 296MB]
Introduction to Database Systems [COMPSCI 186]
Supervised Independent Study [COMPSCI 199]
Individual Research [COMPSCI 299]
Professional Preparation: Supervised Teaching of Computer Science [COMPSCI 399]
Senior Honors Thesis Research [COMPSCI H196A]
Master of Engineering Capstone Project [ENGIN 296MA]
Field Studies in Computer Science [COMPSCI 297]
Introduction to Database Systems [COMPSCI 186]
Supervised Independent Study [COMPSCI 199]
Individual Research [COMPSCI 299]
Professional Preparation: Supervised Teaching of Computer Science [COMPSCI 399]
Senior Honors Thesis Research [COMPSCI H196B]