Zhengchun Liu (刘正春)

Postdoctoral Appointee at Argonne National Laboratory

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  • I accomplished three online courses about Deep Learning taught by Andrew Ng on coursera. They are quite helpful on mastering Deep Learning and understanding how to apply it.

  • One paper got accepted by the 13th IEEE eSceince international conference. Aug. 8, 2017.

  • One paper got accepted by the 2017 International Conference on Computational Science. May 23, 2017. link

  • I attended the HPDC’17 and gave a talk entitled Explaining Wide Area Data Transfer Performance. []

  • I gave a talk about “Explaining/Understanding Wide Area Data Transfer Performance” in GlobusWorld 2017. []

  • One paper is accepted by Journal of Computational Science link. May 10, 2017.

  • New paper on explaining wide area data transfer performance was accepted by the 26th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’17), [Preprint , Highlight].

  • One paper is accepted by Computers & Industrial Engineering link. Nov. 28, 2017.

  • I am organizing the 13th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems as a co-chair, [call for paper].

  • I joined the Argonne National Laboratory as a Postdoctoral appointee since Sep. 2016.

  • I defended my Ph.D. thesis (Modeling and Simulation for Healthcare Operations Management using High-Performance Computing and Agent-Based Model, ) on July 22, 2016 and my thesis awarded the Summa Cum Laude (the highest score regulated by RD 534/2013, wiki).

  • I gave a talk entitled Modeling and Simulation for Healthcare Operations Management using High-Performance Computing and Agent-Based Model to the Argonne National Laboratory via a Teleseminar on April 29, 2016.

  • I gave a presentation entitled: A Bottom-up Simulation Method to Quantitatively Predict Integrated Care System Performance at The 16th International Conference for Integrated Care held in Barcelona, Spain. () 2016/May/23~25.

  • I visited the Oak Ridge National Laboratory, Discrete Computing Systems Group, worked with professor Kalyan S. Perumalla, from Dec. 2015 to Apr. 2016.

  • I gave a presentation entitled: Simulating the Micro-level Behavior of Emergency Departments for Macro-level Features Prediction at 2015 Winter Simulation Conference held in Huntington Beach, CA, USA. () 2015/Dec./6~9.

  • I got the Online Course DAT203x: Data Science and Machine Learning Essentials HONOR CODE CERTIFICATE from edX by Satya Nadella and Björn Rettig, Microsoft. 2015/Nov./4.

  • I participated in the 10th Marathon of Parallel Programming Contest and got the First place. Results. 2015/Oct./19.

  • We participated in the 5th Spanish Parallel Programming Contest and got the First place, Record. 2015/Sep./23.

  • I gave a presentation entitled: Model of Collaborative UAV Swarm Towards Coordination and Control Mechanisms Study at International Conference on Computational Science 2015 Reykjavík, Iceland. 2015/Jun./1~3.

  • I presented a talk entitled: High Performance Computing Based Simulation for Healthcare Decision Support (, PDF) on the second BSC International Doctoral Symposium, 5~7 May 2015.

  • I got the Online Course Mining Massive Datasets Statement of Accomplishment (SoA) from Coursera by Jure Leskovec, Anand Rajaraman and Jeff Ullman, Stanford University. 2015/April/9.

  • I gave a presentation entitled: A Generalized Agent-Based Model to Simulate Emergency Departments at SIMUL 2014, Nice, France. () 2014/Oct./12~16.

  • I got the Online Course Machine Learning Statement of Accomplishment (SoA) from Coursera by Andrew Ng, Stanford University. 2014/Sep./30.

  • I gave a presentation about Study of Emergency Department by Using High Performance Computing at Jornadas sarteco 2014, Valladolid, Spain. () 2014/Sep./16~19.

  • We participated in the IV Spanish Parallel Programming Contest and got the second place, Link. 2014/Sep./18, how did I get it? :-).

  • I presented a poster at the V CONFERENCE: R+D+I Research and Development in ICT and Health. Girona, Spain, June 2014.

                           

Prototype before polishing. Get it working before you optimize it.