Postdoctoral Associate

SANLING SONG

Email: *******@***********.*******.*** Center for Energy, Economic and Environmental Policy Website: http://www.rci.rutgers.edu/~sanling/ Rutgers, The State University of New Jersey Phone: +1-848-***-**** 33 Livingston Ave., New Brunswick, NJ 08901 QUALIFICATIONS

Statistical and probabilistic modeling, stochastic process, data mining, predictive models, linear/nonlinear programming, risk and uncertainty analysis

EDUCATION

Rutgers, The State University of New Jersey Piscataway, NJ

Ph.D. in Industrial and Systems Engineering 2015 Thesis topic: Reliability analysis and maintenance optimization of multi-component systems subject to multiple dependent competing failure processes

Advisor: David W. Coit

M.S. in Industrial and Systems Engineering 2013

M.S. in Statistics 2014

Dalian University of Technology Dalian, China

M.S. in Engineering Mechanics 2010

B.E. in Engineering Mechanics 2007

WORKING EXPERIENCE

Postdoctoral Fellow New Brunswick, NJ

Center for Energy, Economic and Environmental Policy, Rutgers University Jan. 2016 - present

Develop statistical models for climate change to forecast wind in New Jersey costal area, and capture seasonal scenarios into Monte Carlo simulation model for wind data sampling.

Use data mining tools in the offshore wind energy analysis, e.g., clustering of wind turbines for maintenance consider- ing geographic convenience.

Define different maintenance policies and solve the optimization problem for offshore wind turbine based on reliability analysis, and conduct related risk and uncertainty analysis. Research Intern Briarcliff Manor, NY

Philips Research North America Jun. 2013 - Dec. 2013

Develop optimization model for the building air-conditioner system to make decision on cooling and heating points.

Develop financial risk models for energy building retrofit by considering uncertainty of weather, energy price, etc. Research Assistant Piscataway, NJ

Rutgers, The State University of New Jersey Sep. 2010 - Dec. 2015

National Science Foundation (NSF) Grant

Develop reliability modeling for systems combining probabilistic modeling and system failure mechanisms and op- timize the system maintenance scheduling.

Develop an integrated quantitative methodology to jointly optimize quality and reliability of systems with multiple components subject to dependent competing failure processes. Research Assistant Dalian, China

Dalian University of Technology Sep. 2007 - Jun. 2010

Dynamic analysis and topology optimization as the structure optimization for heavy-duty manipulators. TEACHING EXPERIENCE

Teaching Assistant, Rutgers University Piscataway, NJ

ISE 560: Production Analysis Fall 2015

Graduate, class size 30+, give lectures

ISE 510: Deterministic Models in Industrial Engineering Fall 2014 Graduate, class size 30+

ISE 210: Engineering Probability Spring 2014

Undergraduate, class size 100+

SKILLS

Proficient in MATLAB, R, SAS, GAMS, C++, Excel

Experienced in Energy Plus, ANSYS, ADAMS, HYPERWORK, UG SELECTED COURSEWORK

Statistics: Data Mining, Time Series, Design of Experiment, Method of Inference, Multi-Variate Analysis, Probability, Interpret of Data.

Operations Research: Linear Programming, Integer Programming, Nonlinear Programming, Computational Opti- mization, Stochastic Analysis, Data Mining, Stochastic Production Systems, Production Scheduling, Inventory and Pro- duction Planning, Simulation.

Industrial Engineering: System Reliability, Stochastic Modeling, Maintenance Modeling and Optimization, Produc- tion Analysis, Deterministic Models, Production and Quality, Advanced Topic, Manufacturing. Engineering Mechanics: Finite Element Analysis, Dynamic Mechanics, Fluid Mechanics, Material Mechanics, Shell Mechanics, Vibration Mechanics.

HONORS & AWARDS

ISE Graduate Student of the Year Award, Rutgers University 2014 - 2015 National Science Foundation (NSF) Travel Award 2013, 2015 ISERC Best Paper Finalist 2013

Honor Graduate of Dalian University of Technology 2007 SELECTED PUBLICATIONS

S. Song, D. W. Coit and Q. Feng, “Reliability analysis of multiple-component series systems subject to hard and soft failures with dependent shock effects,” IIE Trans. on Reliability, vol. 48, no. 8, pp. 720-345, 2016.

L. Xiao, S. Song, X. Chen, and D. W. Coit, “Joint optimization of production scheduling and machine group preventive maintenance,” Reliability Engineering and System Safety, vol. 146, pp. 68-78, 2016.

Q. Feng, K. Rafieeand, E. Keedy, A. Arab, D. W. Coit and S. Song, “Reliability and condition-based maintenance for multi-stent systems with stochastic dependent competing risk processes,” International Journal of Advanced Manufac- turing Technology, vol. 80, no. 9, pp. 2027-2040, 2015.

S. Song, D. W. Coit and Q. Feng, “Reliability for systems of degrading components with distinct component shock sets,” Reliability Engineering and System Safety, vol. 132, pp. 115-124, 2014.

S. Song, D. W. Coit, Q. Feng and H. Peng, “Reliability analysis for multi-component systems subject to multiple dependent competing failure processes,” IEEE Trans. on Reliability, vol. 63, no. 1, pp. 331-345, 2014.

S. Song, D. W. Coit and Q. Feng, “Reliability analysis for parallel systems with different component shock sets,” in Proc. of the Industrial and Systems Engineering Research Conference (ISERC), San Juan, Puerto Rico, May 2013.

(ISERC Best Paper Finalist)

S. Song, D. W. Coit, Q. Feng and H. Peng, “Component reliability with competing failure processes and dependent shock damage,” in Proc. of the Industrial and Systems Engineering Research Conference (ISERC), Orlando, FL, May 2012.

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