Zhenhuan Gong is from Nanjing, a beautiful city in China and he spent his first 22 years of life there, including four-year undergraduate study in the Department of Computer Science, Nanjing University and six-year secondary school life in Nanjing Foreign Language School. In 2006, he was lucky to join Tencent Technology, Shenzhen, China, which is most famous for QQ. Now he is PhD student in Department of Computer Science, NCSU.

2008.8 - Present   PhD student,  Department of Computer Science, North Carolina State University, Raleigh, NC

2010.1 - 2010.4     Research Intern,  IBM T.J. Watson Research Center, Hawthorne, NY

2006.7 - 2008.7     Engineer, IERD, Tencent Technology, Shenzhen, China

2002.9 - 2006.6     Bachelor of Science,  Department of Computer Science and Technology, Nanjing University, China

His general research interests are High-Performance Computing and Cloud Computing. Specifically, he is focusing on storage management for scientific data, and resource management for cloud systems. He is also interested in scientific data compression, stream processing systems and online anomaly diagnose for distributed systems.

"Multi-level Layout Optimization for Efficient Spatio-temporal Queries on ISABELA-compressed Data",
Zhenhuan Gong, Sriram Lakshminarasimhan, John Jenkins, Hemanth Kolla, Stephane Ethier, Jackie Chen, Robert Ross, Scott Klasky, Nagiza F. Samatova,
IEEE International Parallel and Distributed Processing Symposium (IPDPS), Shanghai, China, May, 2012. (To appear)

"S-preconditioner for Multi-fold Data Reduction with Guaranteed User-controlled Accuracy",
Ye Jin, Sriram Lakshminarasimhan, Neil Shah, Zhenhuan Gong, Nagiza F. Samatova,
IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, December, 2011.

"ISABELA-QA: Query-driven Data Analytics over ISABELA-compressed Extreme-Scale Scientific Data",
Sriram Lakshminarasimhan, Jonathan Jenkins, Robert Latham, Robert Ross, Nagiza F. Samatova, Isha Arkatkar, Zhenhuan Gong, Hemanth Kolla, Jackie Chen, Seung-Hoe Ku, C.S. Chang, Stephane Ethier, Scott Klasky,
IEEE/ACM Conference on Supercomputing (SC), Seattle, WA, November, 2011.

"PRESS: PRedictive Elastic ReSource Scaling for Cloud Systems",
Zhenhuan Gong, Xiaohui Gu, John Wilkes
IEEE International Conference on Network and Services Management (CNSM), Niagara Falls, Canada, October, 2010. (acceptance rate: 27/176 = 15%) Best Paper Award

"PAC: Pattern-driven Application Consolidation for Efficient Cloud Computing",
Zhenhuan Gong, Xiaohui Gu,
IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), Miami Beach, Florida, August, 2010. (acceptance rate: 16%) Best Paper Nominee

"Predictive Elastic Load Management for Cloud Computing Infrastructures",
Zhenhuan Gong, Xiaohui Gu,
ACM Symposium on Operating Systems Principles (SOSP) poster session, Big Sky, MT, October, 2009.

"SigLM: Signature-Driven Load Management for Cloud Computing Infrastructures",
Zhenhuan Gong, Prakash Ramaswamy, Xiaohui Gu, Xiaosong Ma,
IEEE International Conference on Quality of Service (IWQoS), Charleston, South Carolina, July, 2009.

"Self-Correlating Predictive Information Tracking for Large-Scale Production Systems",
Ying Zhao, Yongmin Tan, Zhenhuan Gong, Xiaohui Gu, Mike Wamboldt,
IEEE International Conference on Autonomic Computing and Communications (ICAC), Barcelona, Spain, June, 2009. (acceptance rate: 15/96 = 15.6%)