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YAN CHEN, Ph.D. Phone: (513) 237-1470 2403 Montana Ave [email protected] Cincinnati, OH 45211 GOAL To pursue a challenging professional career in the field of data mining and predictive analytics. EXPERTISE Intelligent data analysis and signal processing techniques Data mining algorithm development, testing, and validation in complex systems Application of a systematic body-of-knowledge of prognostics and health management techniques in a diverse variety of industries including aviation, machinery, food & beverage, process, semiconductor, and automotive. EDUCATION Ph.D. Mechanical Engineering University of Cincinnati, Ohio, USA 09/2006~03/2012 GPA 3.89 (out of 4.00) Dissertation: "Data Quality Assessment Methodology for Improved Prognostics Modeling" M.Sc. Mechanical Engineering Shanghai Jiao Tong University, China 09/2003~03/2006 GPA 2.78 (out of 3.00) Thesis: "Escalator System Dynamic Analysis and Health Monitoring" B.Sc. Mechanical and Automation Engineering 09/1999~09/2003 Tianjing University, China University of Cincinnati 04/2012-Present PROFESSIONAL Postdoctoral Research Associate EXPERIENCE National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) for Intelligent Maintenance System Leading the center's projects and research initiatives with industry members, as well as managing research publications and submittal to journals and conferences; proposal preparation and writing to government and non-government agencies. Doctoral Research Assistant University of Cincinnati 04/2006-03/2012 National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) for Intelligent Maintenance System Leading and supporting fundamental research and industry projects; taking charge of developing and delivering demonstrations to industry members Research Consultant at GE Global Research Center, NY, US 06/2010-09/2010 Applied data mining algorithms on jet engine component failure diagnosis Developed sequential pattern recognition algorithms for alarm event management in manufacturing process Developed sensorless solutions for 5-axis grinding machine health management Research Project Leader at GE CTC, Shanghai, China 08/2009-10/2009 Data acquisition system design and installation Developed Condition based Monitoring (CBM) solution for large-scale machine tools in wind-turbine manufacturing Product Engineer at Ingersoll Rand Machinery Co., Ltd., China INDUSTRY PROJECT EXPERIENCE 03/2006-09/2006 Air tools prototype design and new product design 1. GE Aviation (Aerospace Industry) 10/2010-08/2011 Developed and applied Multiple Variable Statistical Process Control algorithms for anomaly detection; delivered a validated intelligent prognostic system in factory environment 2. Procter & Gamble (Process Industry) 09/2006-09/2009 Designed and developed a Data Mining software package for production process monitoring, including a toolbox of algorithms: Robust Stepwise Regression; Bayesian Networks; Coupled Hidden Markov Model; Principal Component Analysis; Association rule discovery; Neural Network / Self-organizing Map; and Support Vector Machine Embedded online signal processing and anomaly detection techniques in Allen-Bradley ControlLogix automation system (the system is validated and used in global facilities) 3. Hiwin Corporation (Taiwan Machinery Industry) 01/2012-03/2012 Developed and applied a Gaussian Process Regression based Remaining Useful Life (RUL) prediction algorithm for machine feed axis health prognosis 4. Applied Materials (Semiconductor Industry) 09/2012-03/2013 Benchmarked feature selection, clustering, classification data mining algorithms for their utilization in Wafer Fab Equipment (WFE) health monitoring and prognosis, including Spectral clustering, KNN, SVM, Fisher criteria, Information Gain, Local Outlier Factor 5. Woodward, Inc (Automation/Control Industry) 04/2012-01/2013 Developed and applied a General Neural Network based Remaining Useful Life Prediction algorithm for engine actuator health monitoring 6. Goodyear (Tire & Automotive Components Industry) 03/2010-05/2010 Initialized a project for Smart Service & Intelligent Maintenance of Tire Systems 7. TechSolve, Inc (Ohio Edison Technology Center) 03/2008-01/2009 Developed Neural Network based data analysis algorithms for signal processing, system failure detection and prediction of a variety of machinery systems and sub-components. 8. Industrial Technology Research Institute (Taiwan National R&D Organization ) 03/2010-01/2011 Investigated data modeling method for Lithium-ion battery capacity fading prediction; patented and to be applied for Electric Vehicle battery health monitoring and smart service models Yan Chen C.V. - Page 2 PUBLICATIONS (SELECT) Y Chen, F Zhu, J Lee, “Data Quality Evaluation and Improvement for Prognostic Modeling using Visual Assessment based Data Partitioning Method”, Computers in Industry (In Press) Y Chen, J Lee, “Autonomous Mining for Alarm Correlation Patterns based on Timeshift Similarity Clustering in Manufacturing System”, 2011 IEEE International Conference on Prognostics and Health Management Y Chen, H Wang, J Lee, “A new method for Feature Selection and gear defect Detection”, Proceedings of the ASME Conference on Manufacturing Science and Engineering (MSEC2007), SYMP 9 Diagnostics, Performance Prediction and Decision Making for Intelligent Maintenance of Manufacturing Systems J Lee, Y Chen, “A systematic approach for predictive maintenance service design: methodology and applications”. International Journal of Internet Manufacturing and Services 2009 - Vol. 2, No.1 pp. 76 - 94 Y Chen, W Li, “Spectral Clustering and Its application in Machine Failure Prognosis” Book Chapter: Graph Theory, ISBN 979-953-307-303-2 S Wang, A Mathew, Y Chen, “Empirical analysis of support vector machine ensemble classifiers”. Expert Systems with Applications, vol. 36, pp. 6466-6476, 2009 PATENTS Provisional Patent 113-027 : Virtual Battery COMPUTER SKILLS Programming / Data Mining / Specialty Applications: MATLAB, SAS, JMP, NI LabVIEW, Visual C++, Java, UGS, AutoCAD, ANSYS, ProE, SQL, RapidMiner, Statistica, Minitab General Applications: LANGUAGES REFERENCES MS Office (Excel, Word, PowerPoint, Access, Project); Adobe Acrobat English (Proficient) Chinese (Native Tongue) Available upon request Yan Chen C.V. - Page 3