Yu David Liu

Associate Professor
Department of Computer Science
State University of New York at Binghamton
Email: davidL at cs.binghamton.edu
Office: Q3 Engineering Building

2016 (credit: R. P.)

My research interests include programming languages, systems, and software engineering. I received my Ph.D. from the Johns Hopkins University, advised by Scott Smith. I am a recipient of the NSF CAREER Award (2011) and the Google Faculty Research Award (2011).

Current Projects


(credit: M. Cohen)
  Energy-Aware Programming Languages and Compilers
From smartphones, laptops, wireless sensor networks, to data centers, energy efficiency is increasingly becoming a critical goal of modern computing. This project investigates how energy efficiency can be improved through programming language and compiler techniques. We are currently designing a new programming language ET with a novel type system called Energy Types, a novel energy-efficient stream programming and compilation model called Green Streams, an energy-efficient multi-threaded language runtime called Hermes, and some empirical studies on energy behaviors of concurrent programs and energy-aware programmers.

(credit: hypepotamus.com)
  Data-Intensive Software
Big Data applications are on the rise, with examples such as genome decoding, data warehouse mining, and exascale social network analysis. This project is aimed at providing programming and runtime support to improve the quality and performance of data-intensive applications. Our current efforts include Rate Types to reason about and optimize data stream rates in high-performance data processing, Delta Graphs for update-intensive and verifiable Big Graph applications, and GraphQ for scalable out-of-core graph processing (collaborative work with UC Irvine and UC Davis).

Recent Work



  • CS476/576: Programming Models for Emerging Platforms (Spring 2017)
  • CS571: Programming Languages, Section I and II (Fall 2016)
  • CS680P: Energy-Aware Programming Languages (Spring 2013)