About Me
I am a PhD candidate in the Department of Electrical and Computer Engineering at Rutgers University, under the guidance of Prof. Manish Parashar. Before came to Rutgers, I received my bachelor and master degrees in computer science from Huazhong University of Science and Technology (HUST) in 2007, 2009. I'm affiliated with the following research lab and center.
Email: zhangfan (at) cac (dot) rutgers (dot) edu 
 Research My current research focuses on building the programming and runtime support to enable in-situ/in-transit/hybrid execution of coupled scientific simulation workflows on emerging parallel computers. Generally, I'm interested in scientific data management, parallel programming framework for data analysis/processing, and I/O on large-scale HPC systems.
My current project is DataSpaces, a data management framework for high performance computing applications Professional Experience ■ 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 Publications 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. 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, 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, April 2013, DOI: 10.1002/cpe.3025. [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] 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] Teaching Experience ■ 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 
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