Calton Pu, Ph.D., is a Professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology. His research interests are in the areas of distributed computing, Internet data management, and operating systems. His current projects fall under the areas of cloud computing (Elba) and big data (GRAIT-DM) research. Using experimental data from realistic benchmarks, the Elba project studies the  phenomena of very short bottlenecks that have large impact on N-tier system response time. The GRAIT-DM project collects real world data from social sensors (e.g., Twitter and YouTube) and physical sensors (e.g., USGS GSN and NASA TRMM) to detect physical events and manage real-time information on them. The sponsors for Pu's research include both government funding agencies such as the National Science Foundation, and companies from industry such as IBM, Intel, and Hewlett-Packard.  He is a co-director of Center for Experimental Research in Computer Systems (CERCS) and affiliate of the Institute for Information Security and Privacy (IISP) at Georgia Tech.  Pu has taught several courses in the areas of systems and databases. In Fall, he teaches CS4220/6235 Real-Time Embedded Systems. In spring, he teaches CS4365/6365 Introduction to Enterprise Computing.