Name: Zhengchun Liu 
姓名:刘正春
Gmail: liuzhengchun





Bio.

I am a Postdoctoral Appointee at  the Mathematics and Computer Science DivisionArgonne National Laboratoryworking with Rajkumar Kettimuthu. I contribute to the RAMSES (Robust Analytic Models for Science at Extreme Scales) project. 

NEWS: 


Research Interests:
I am interested in Computer Science related research, mainly include:
  • Wide-area data transfer, GridFTP/Globus.org, modeling & optimizing data transfer 
  • High Performance Computing, Big-Data and Data Mining, Feature Engineering
  • Machine Learning and Artificial Intelligence
  • Complex System, Modeling and Simulation, Agent Based Modeling and Simulation
  • Embedded Technique, Real-Time Operating System
  • Decision Support System, Operations Research (past)

Education:
Universitat Autònoma de Barcelona (ES) , 2013.09 – 2016.07 
Doctor of Philosophy (Ph.D.), Computer Science (informática) 
  - awarded Summa Cum Laude (the highest honor regulated by RD 534/2013), and International Doctoral Research Component mention

Northwestern Polytechnic University (CN) , 2010.09 - 2013.04
Master's Degree, Guidance Navigation and Control 

Northwestern Polytechnic University (CN) , 2006.09 – 2010.06
Bachelor of Engineering (B.E.), Manufacturing Engineering of Flight Vehicle 
  - Comprehensive Evaluation: 94.2/100, Ranking: 3/94; GPA: 84.6/100

Recent Professional Service:
  • Co-Chair of the 13th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems (SRMPDS 2017).
  • Technical Program Committee of the 8th International Conference on Advances in System Simulation (SIMUL 2016).
  • Technical Program Committee of the 7th International Conference on Advances in System Simulation (SIMUL 2015).

Certifications:

Skills:
  • Proficient in C/C++, Python, MATLAB and Embedded C Programming.
  • Extensive experience with Parallel software development, including MPI and programming models for multicore and heterogeneous architectures (e.g. CUDA, OpenMP, OpenCL).
  • Familiar with cluster computing framework (e.g., Apache Spark) and massive datasets mining (e.g., numpy, pandas, scikit-learn and matplotlib).
  • Extensive development experience with backend software on Linux.
  • Extensive experience with embedded system, real-time OS, hardware and firmware development.
  • Simulation with NS3, Netlogo etc.

Please redirect to my homepage for more information, or download my CV in pdf
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visits since July 2016