KACB, room 3334
Address: Georgia Tech, 266 Ferst Dr, Atlanta, GA 30332-0765 USA
Email: calton dot pu AT cc dot gatech dot edu
Calton's research interests are in the areas of service computing, distributed and cloud computing, integration and veracity of big data. His current projects include cloud computing (WISE project) and big data (Big Gap project) research. Using experimental data from realistic benchmarks, the WISE project (originally the Elba project) studies the interesting phenomena such as very short bottlenecks that have significant impact (the response time long tail). Currently, the WISE project is studying performance phenomena of all sizes, long and short. The Big Gap project started from the GRAIT-DM project, collecting real world data from social sensors (e.g., Twitter and Facebook) and physical sensors (e.g., USGS GSN) to find near-real-time information on landslides worldwide. Currently, the Big Gap project is studying the gap between AI/ML classifiers created from static training data and the real-time sensor data on physical events.
The sponsors for Calton Pu's research include both government funding agencies such as NSF, and companies from industry such as HP, Fujitsu, IBM, and Intel. He is director of Center for Experimental Research in Computer Systems (CERCS), and affiliate faculty of Institute for Information Security and Privacy (IISP) at Georgia Tech. Positions available: Georgia Tech is recruiting good graduate students.
Calton teaches CS4220/6235 (Real-Time Embedded Systems) in the Fall, and CS4365/6365 (Introduction to Enterprise Computing) in the Spring. Please see updated Canvas course information, as significant changes have been introduced due to the impact of COVID-19 pandemic.