I received my Ph.D. degree from Department of Electrical and Computer Engineering at Rutgers University. At Rutgers, I worked with my advisor Professor Manish Parashar in TASSL research group. Before came to Rutgers, I received my bachelor and master degrees in computer science from Huazhong University of Science and Technology in 2007, 2009.
Email: zhangfan (at) cac (dot) rutgers (dot) edu
■ 2012.6 ~ 2012.8 Software Engineering Intern, Ads Backend Team, Google, Mentor: Dr. Alejandro Estrella-Balderrama
■ 2010.6 ~ 2010.8 Research Intern, Scientific Data Group, Oak Ridge National Lab, Mentor: Dr. Scott Klasky
Copyright Notice: It is understood that the following electronic versions of the papers are non-commercial distributions available to ensure the timely dissemination of their content. Copyrights for each published paper are held by the respective publishing organization.
T. Jin, F. Zhang, Q. Sun, H. Bui, M. Romanus, N. Podhorszki, S. Klasky, H. Kolla, J. Chen, R. Hager, C.S. Chang and M. Parashar, "Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows", In Proc. of the 29h IEEE International Parallel & Distributed Processing Symposium (IPDPS'15), May 2015.
Q. Sun, F. Zhang, T. Jin, H. Bui, K. Wu, A. Shoshani, H. Kolla, S. Klasky, J. Chen and M. Parashar, “Scalable Run-time Data Indexing and Querying for Scientific Simulations”, In Big Data Analytics: Challenges and Opportunities (BDAC-14) Workshop at Supercomputing Conference , New Orleans, Louisiana, U.S.A., November, 2014.
C. Docan, F. Zhang, T. Jin, H. Bui, Q. Sun, J. Cummings, N. Podhorszki, S. Klasky and M. Parashar. “ActiveSpaces: Exploring Dynamic Code Deployment for Extreme Scale Data Processing”, Journal of Concurrency and Computation: Practice and Experience, John Wiley and Sons, 2014.
S. Lasluisa, F. Zhang, T. Jin, I. Rodero, H. Bui and M. Parashar. “In-situ Feature-based Objects Tracking for Data-intensive Scientific and Enterprise Analytics Workflows”, Journal of Cluster Computing, 2014.
F. Zhang, C. Docan, H. Bui, M. Parashar and S. Klasky, “XpressSpace: A Programming Framework for Coupling PGAS Simulation Codes”, Journal of Concurrency and Computation: Practice and Experience, John Wiley and Sons, 2014. [PDF]
T. Jin, F. Zhang, Q. Sun, H. Bui, M. Parashar, H. Yu, S. Klasky, N. Podhorszki, H. Abbasi, “Using Cross-Layer Adaptations for Dynamic Data Management in Large Scale Coupled Scientific Workflows”, In Proc. of ACM/IEEE International Conference for High Performance Computing,Networking Storage and Analysis (SC'13), November 2013. [PDF]
F. Zhang, S. Lasluisa, T. Jin, I. Rodero, H. Bui, M. Parashar, "In-situ Feature-based Objects Tracking for Large-Scale Scientific Simulations", International Workshop on Data-Intensive Scalable Computing Systems (DISCS) in conjunction with the ACM/IEEE Supercomputing Conference (SC'12), November 2012. [PDF]
T. Jin, F. Zhang, M. Parashar, S. Klasky, N. Podhorszki and H. Abbasi. “A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations”. In Proc. of 19th IEEE International Conference on High Performance Computing (HiPC'12), December 2012. [PDF]
J. C. Bennett, H. Abbasi, P. Bremer, R. Grout, A. Gyulassy, T. Jin, S. Klasky, H. Kolla, M. Parashar, V. Pascucci, P. Pebay, D. Thompson, H. Yu, F. Zhang and J. Chen. “Combining In-situ and In-transit Processing to Enable Extreme-scale Scientific Analysis”. In Proc. of ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'12), November 2012. [PDF]
F. Zhang, C. Docan, M. Parashar, S. Klasky, N. Podhorszki and H. Abbasi. "Enabling In-situ Execution of Coupled Scientiﬁc Workﬂow on Multi-core Platform". In Proc. of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS'12), May 2012. [PDF]
Hank Childs, Kwan-Liu Ma, Hongfeng Yu, Brad Whitlock, Jeremy Meredith, Jean Favre, Scott Klasky, Norbert Podhorszki, Karsten Schwan, Matthew Wolf, Manish Parashar, Fan Zhang, "In Situ Processing", High Performance Visualization---Enabling Extreme-Scale Scientific Insight, ( October 2012) Pages: 171-198.
F. Zhang, C. Docan, M. Parashar and S. Kalasky. “Enabling Multi-Physics Coupled Simulations within the PGAS Programming Framework”. In Proc. of 11th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid'11), May 2011. [PDF]
F. Zhang, C. Docan, M. Parashar and S. Kalasky. “DADS: A Dynamic and Adaptive Data Space for Interacting Parallel Applications”. In Proc. of 22nd International Conference on Parallel and Distributed Computing and Systems (PDCS'10), Nov. 2010. [PDF]
C. Docan, F. Zhang, M. Parashar, J. Cummings, N. Podhorszky and S. Klasky. "Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows". In Proc. of 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'10), May 2010. [PDF]
X. Liao, F. Zhang, H. Jin and L. Yu. "iDARE: Proactive Data Replication Mechanism for P2P VoD System". In Proc. of 10th IEEE International Conference In Computer and Information Technology (CIT'10), July 2010. [PDF]
■ Lab Instructor, Programming Methodology Lab (undergraduate), Rutgers University, 2012 Spring
■ Lab Instructor, Computer Architecture Lab (undergraduate), Rutgers University, 2011 Fall
■ Lab Instructor, Elements of Electrical Engineering Lab (undergraduate), Rutgers University, 2011 Spring/2010 Spring
■ Teaching Assistant, Computer Architecture (undergraduate), Rutgers University, 2009 Fall/2010 Fall