Zhengchun Liu
Research Scientist at the University of Chicago R liuzhengchun@gmail.com
Î https://lzhengchun.github.io, LinkedIn, GitHub Ó +1-630-252-3474
Education
Universitat Aut`onoma de Barcelona Barcelona, Spain
Ph.D. in Computer Science, Advisor: Prof. Emilio Luque 2013.09 - 2016.07
Cum Laude (the highest honor) and international mention
Northwestern Polytechnical University Xi’an, China
MSc. in Guidance, Navigation and Control 2010.09 - 2013.04
Northwestern Polytechnical University Xi’an, China
BSc. in Manufacturing Engineering of Flight Vehicle 2006.09 - 2010.06
Overall Evaluation: 94.2/100, Ranking: 3/94; GPA: 84.6/100
ü Research Work Experience
1. Computation Institute, University of Chicago, Illinois, U.S.A. 2018.03 - present
Research Scientist, also hold a joint appointment at Argonne National Laboratory
Performance modeling and characterization of high performance computing system.
Design a scalable architecture for smart science ecosystems.
Explore methods for distributed and autonomous management of the systems.
Embed intelligence in relevant computer systems via machine learning.
2. Mathematics and Computer Science Division, 2016.09 - 2018.03
Argonne National Laboratory, Illinois, U.S.A.
Postdoctoral Appointee, Advisor: Rajkumar Kettimuthu, Mentor: Sven Leyffer
Building robust analytic models for science at extreme scales
Modeling, simulating & optimizing for large data transfers over wide area networks
Simulating to explain the behavior of scientific workflows over a distributed infrastructure.
Designing cyberinfrastructure for on-demand scientific experiment data analysis.
Architecture, methods, and algorithms to support self-tune and self-manage science ecosystems.
3. Universitat Aut`onoma de Barcelona, Barcelona, Spain 2013.09 - 2016.08
Research Fellow, PhD candidate, Advisor: Emilio Luque
Modeling & simulating hospital emergency department using HPC and agent-based model.
Modeling & simulation for healthcare operations management.
Healthcare system operation data analysis and population aging study.
Model verification, model parameters calibration and model validation.
Optimization, Parallel programming, Agent-based modeling and simulation.
4. Oak Ridge National Laboratory, Tennessee, U.S.A. 2015.12 - 2016.04
Visiting Researcher, Host: Kalyan S. Perumalla
Performance modeling, verification and validation for scientific simulation on multi-GPU clusters.
Developed a framework template for efficient simulation on multi-GPU and multi-Core clusters.
Designed and developed a large-scale vehicle evacuation simulator on GPUs using CUDA.
Implemented an earthquake wave propagation model on multiple GPUs using CUDA.
5. Northwestern Polytechnical University, Xi’an, China 2006.09 - 2013.09
Research Assistant
Designed and developed a rapid control prototype and testbed system for designing drones.
Design and implement flight control algorithms on real-time embedded control systems.
Developed a distributed, hardware-in-the-loop interactive simulation system for fixed-wing drone.
Learned and earned collaborative leadership.
Six-Degree-of-Freedom flight dynamics model of fixed-wing drone.
/ Engineering Work Experience
1. Xi’an FengLiTong Electronic CO. LTD. Shaanxi, China 2010.05 - 2013.06
Software Engineer (Part-time)
µC/OS-II real-time operating system porting and board support package developing.
USB driver and filesystem on ARM Cortex-M3 MCUs for exchanging data.
GPS data parsing, reliable communication via GSM network.
Implemented the over-the-air firmware updating service using In-Application Programming.
Developed a backend communication server for million vehicle-traveling-data-recorders.
Effective communication skills were improved through collaborating with more than 20 engineers.
2. Outsourcing Service as an Embedded Engineer 2010.09 - 2013.07
Designed and developed a Human Machine Interfaces, and 8051 MCU based integrated power
management for ambulances (hardware design and firmware programming).
– Designed and developed a temperature control system for machine tool oil-cooling (hardware design
and firmware programming).
3 Selected Awards, Grants & Honors
Extraordinary Doctorate Awards by the Universitat Aut`onoma de Barcelona . . . . . Sep. 2018
The 1st Place in the 10th Marathon of Parallel Programming Contest . . . . . . . Oct. 2015
The 1st Place in the 5th Spanish Parallel Programming Contest . . . . . . . . . . Sep. 2015
The 2nd Place in the 4th Spanish Parallel Programming Contest . . . . . . . . . . Sep. 2014
China National Scholarship, Ministry of Education, China
(award to 0.2% of outstanding undergraduate students) . . . . . . . . . . . . . . . . . . Oct. 2009
Champion of the Chinese Robot Competition (dancing session) . . . . . . . . . . . . Dec. 2008
China National Scholarship, Ministry of Education, China
(award to 0.2% of outstanding undergraduate students) . . . . . . . . . . . . . . . . . . Oct. 2008
First Class Scholarship for Undergraduate Students (three times) . . . . . . . . 2007, 2008, 2009
r Technical 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, OpenCL, OpenMP).
Familiar with cluster computing framework (e.g., Apache Spark) and massive datasets mining.
Rich experience on backend software development.
Extensive experience with embedded system, real-time OS, hardware and firmware development.
L Professional Activities and Memberships
Professional Membership: Association for Computing Machinery (ACM); HiPEAC.
Co-Chair : SRMPDS 2017; SRMPDS 2018; SRMPDS 2019.
Technical Program Committee: SIMUL 2015; SIMUL 2016; DAAC 2017
External Reviewer: COMPUTATION TOOLS 2015; Euro-Par 2017; CLUSTER 2017; HiPC 2017;
WoWS 2017; IPDPS 2018; SRMPDS 2017; SRMPDS 2018.
Journal Reviewer: Algorithms–MDPI; Sustainability–MDPI; FGCS; AJCSIT–iMedPub (Outstanding
Reviewer ); IEEE–Access.
Advising
Zhaoyang Liu, Northwestern Polytechnical University. China Summer 2013
Summer Internship
Developing a distributed, hardware-in-the-loop simulation system for fixed-wing drone.
Joanna Czy˙zewska, Wroclaw University of Science and Technology. Poland Summer 2015
European Undergraduate Summer Internship program
Modeling and simulating patients who Leave Without Being Seen in emergency department;
Characterizing overcrowding in emergency department under unforeseen scenarios.
Yuanlai Liu, University of California, Riverside. U.S.A 2018.06 2018.09
Summer Internship
Collecting system data about end-to-end file transfer.
Yuanlai Liu, University of California, Riverside. U.S.A 2018.09 present
Graduate Research Aide
Developing analytical model to explain, predict and possibly optimize the transfer performance.
Smart HPC for energy efficiency.
Research Project
Robust Analytic Models for Science at Extreme Scales; U.S. Department of Energy; Investigator.
Architecture and Management for Autonomic Science Ecosystems; U.S. Department of Energy;
Investigator.
Extreme Scale Systems for Machine Learning; Argonne National Laboratory; Principal Investigator.
Publications
§Refereed conference/workshop papers
1. Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao and Ian Fos-
ter. Building a Wide-Area Data Transfer Performance Predictor: An Empirical Study. International
Conference on Machine Learning for Networking (MLN’18).
2. Nageswara Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, and Ian Foster.
Measurements and Analytics of Wide-Area File Transfers over Dedicated Connections. The 20th
International Conference on Distributed Computing and Networking (ICDCN’19).
3. Nageswara Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, and Ian Foster. Learning
Concave-Convex Profiles of Data Transport Over Dedicated Connections. International Conference
on Machine Learning for Networking (MLN’18)
4. Nageswara Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, and Ian Foster. Throughput
Analytics of Data Transfer Infrastructures. The 13th EAI International Conference on Testbeds and
Research Infrastructures for the Development of Networks & Communities (TRIDENTCOM’18)
5. Rajkumar Kettimuthu, Zhengchun Liu, Ian Foster, Peter H. Beckman, Alex Sim, John Wu, Wei-
keng Liao, Qiao Kang, Ankit Agrawal, and Alok Choudhary. 2018. Toward Autonomic Science
Infrastructure: Architecture, Limitations, and Open Issues. The 1st Autonomous Infrastructure for
Science workshop (AI-Science@HPDC’18).
6. Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster and Nageswara S.V. Rao. Cross-geography
Scientific Data Transfer Trends and User Behavior Patterns. Proceedings of the 27th International
Symposium on High-Performance Parallel and Distributed Computing (HPDC’18).
7. Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar and Ian Foster. A mathe-
matical programming and simulation based framework to evaluate cyberinfrastructure design choices.
The 13th IEEE International Conference on eScience (IEEE eScience’17).
8. Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu and Ian Foster. Explaining Wide
Area Data Transfer Performance. Proceedings of the 26th International Symposium on High-
Performance Parallel and Distributed Computing (HPDC’17), 167-178.
9. Zhengchun Liu, Dolores Rexachs, Francisco Epelde, and Emilio Luque. Support managing popula-
tion aging stress of emergency departments in a computational way. 2017 International Conference
on Computational Science (ICCS’17), Volume 108, 2017, Pages 149-158.
10. Zhengchun Liu, Eduardo Cabrera, Dolores Rexachs, Francisco Epelde, and Emilio Luque. Simu-
lating the Micro-level Behavior of Emergency Department for Macro-level Features Prediction. Pro-
ceedings of the 2015 Winter Simulation Conference (WSC’15). Pages 171–182
11. Xueping Zhu, Zhengchun Liu and Jun Yang. Model of Collaborative UAV Swarm Toward Coor-
dination and Control Mechanisms Study. 2015 International Conference on Computational Science
(ICCS’15), Vol 51, 493-502.
12. Zhengchun Liu, Eduardo Cabrera, Manel Taboada, Francisco Epelde, Dolores Rexachs and Emilio
Luque. Quantitative Evaluation of Decision Effects in the Management of Emergency Department
Problems. International Conference on Computational Science (ICCS’15), Vol 51, Pages 433-442.
13. Zhengchun Liu, Eduardo Cabrera, Dolores Rexachs and Emilio Luque. A Generalized Agent-
Based Model to Simulate Emergency Departments. Proceeding of the 6th International Conference
on Advances in System Simulation (SIMUL’14).
§Refereed journal papers
1. Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster, Peter H. Beckman. Towards a Smart Data
Transfer Node. Future Generation Computer Systems, 2018(89), Pages 10-18.
2. Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian Foster, Katrin Heitmann, Franck
Cappello. Transferring a Petabyte in a Day. Future Generation Computer Systems, 2018(88).
3. Zhengchun Liu, Dolores Rexachs, Francisco Epelde, and Emilio Luque. An Agent-based Model for
Quantitatively Predicting and Analyzing the Complex Behavior of Emergency Departments. Journal
of Computational Science, Vol. 21, Pages 11-23, 2017.
4. Zhengchun Liu, Dolores Rexachs, Francisco Epelde, and Emilio Luque. A simulation and opti-
mization based method for calibrating agent-based emergency department models under data scarcity.
Computers & Industrial Engineering, Vol. 103, Pages 300–309, 2017.
5. Zhengchun Liu, Francisco Epelde, Dolores Rexachs and Emilio Luque. A Bottom-up Simulation
Method to Quantitatively Predict Integrated Care System Performance. International Journal of
Integrated Care. 2016;16(6).
6. Linglong Li, Yaodong Yang, Zhengchun Liu, Stephen Jesse, Sergei V. Kalinin and Rama K. Va-
sudevan. Correlation between Piezoresponse Nonlinearity and Hysteresis in Ferroelectric Crystals at
Nanoscale. Applied Physics Letters. 2016;17(108).
§Invited paper
1. Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster and Yuanlai Liu. A comprehensive study of
wide area data movement at a scientific computing facility. IEEE 38th International Conference on
Distributed Computing Systems (SNTA@ICDCS’18).
§Other selected papers
1. Zhengchun Liu and Emilio Luque. Modeling and Simulation for Healthcare Operations Man-
agement using High Performance Computing and Agent-Based Model. [thesis overview] Journal of
Computer Science & Technology, Vol. 17, No. 1, 2017.
2. Zhengchun Liu. High Performance Computing Based Simulation for Healthcare Decision Support.
The Second International BSC Doctoral Symposium, Barcelona, Spain. May 5 - 7, 2015.
3. Zhengchun Liu, Qi Liu and Jun Yang. Research on Missile’s Integrated Testing Platform Based
on HLA. Computer and Modernization. 2013, 1(6): 179-181.
4. Xueping Zhu, Zhengchun Liu, and Jun Yang. Research on Co-simulation Method in ADAMS and
MATLAB for Missile Seeker’s Stabilization Platform Design. AsiaSim 2013. November 6 - 8, 2013.
5. Zhengchun Liu, and Jun Yang. Design and Implementation of a Missile Seeker Virtual Test-Bed
Based on High Level Architecture. Proceedings of the 3d MACE. July 27-29, 2012.
Last updated on October 31, 2018