PhD in Statistics, The Wharton School of Business, University of Pennsylvania, 2003
MA in Statistics, The Wharton School of Business, University of Pennsylvania, 2000
BS in Mathematics, School of Mathematical Sciences, Peking University, 1998
Haipeng Shen joined HKU in September 2015 as a Professor of Innovation and Information Management at the School of Business. Before joining HKU, he was a Professor of Statistics and Operations Research, University of North Carolina at Chapel Hill, USA.
Fellow, American Statistical Association, 2015.
Elected Member, International Statistical Institute, 2015.
Cluster Chair for Big Data Analytics, INFORMS International, 2015.
Program Chair-Elect, 2014, Section on Statistics in Imaging, American Statistical Association, 2013.
Issue Feature Article, Journal of Computational and Graphical Statistics, 2014.
Awarded University Affairs Committee Grant from The Xerox Foundation, 2012.
Most Cited Article of Journal of Multivariate Analysis since 2008, 2012.
Randy Sitter Paper of 2010 in Technometrics, 2010.
Awarded Challenge Grant from National Institute on Drug Abuse, 2009.
UNC-CH R. J. Reynolds Fund Award for Junior Faculty Development, 2008.
J. Parker Bursk Memorial Prize for the best PhD student in the Department of Statistics, University of Pennsylvania, 2002.
Business Analytics, Business Data Analysis, Decision and Risk Analysis, Statistics
Data-driven decision making in the face of uncertainty: big data, business analytics, healthcare analytics, service engineering.
Noah Gans, H. Shen, Yong-Pin Zhou, Nikolay Korolev, Alan McCord, Herbert Ristock (2015). Parametric Stochastic Programming Models for Call-Center Workforce Scheduling, Manufacturing and Service Operations Management, 17, 571-588.
Lawrence D. Brown, Noah Gans, Avishai Mandelbaum, Anat Sakov, H. Shen, Sergey Zeltyn, Linda H. Zhao (2005). Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective, Journal of the American Statistical Association, 100, 36-50. (Google Scholar lists over 500 citations for this primarily methodological article.)
Rouba Ibrahim, Pierre L’Ecuyer, H. Shen, Mamadou Thiongane (2015). Inter-Dependent, Heterogeneous, and Time-Varying Service-Time Distributions in Call Centers, European Journal of Operations Management, accepted.
Rouba Ibrahim, Han Ye, Pierre L’Ecuyer, H. Shen (2015). Modeling and Forecasting Call Center Arrivals: A Literature Survey and A Case Study, International Journal of Forecasting, accepted.
Lingsong Zhang, H. Shen, Jianhua Z. Huang (2013). Robust Regularized Singular Value Decomposition with Application to Mortality Data, The Annals of Applied Statistics, 7, 1540-1561.
Spencer Hays, H. Shen, Jianhua Z. Huang (2012). Functional Dynamic Factor Models with Application to Yield Curve Forecasting, The Annals of Applied Statistics, 6, 870-894.
Jiaping Wang, H. Shen, Hongtu Zhu (2012). Clustering Random Curves under Spatial Interdependence with Application to Service. Accessibility: Discussion, Technometrics, 54, 129-133.
Rouba Ibrahim, Pierre L’Ecuyer, Nazim Regnard, H. Shen (2012). On the Modeling and Forecasting of Call Center Arrivals, Winter Simulation Conference, 1-12, Berlin, Germany, December 9-12, 2012.
H. Shen (2010). Statistical Analysis of Call-Center Operational Data: Forecasting Call Arrivals, and Analyzing Customer Patience and Agent Service, Wiley Encyclopedia of Operations Research and Management Science, 1-10.
Noah Gans, Nan Liu, Avishai Mandelbaum, H. Shen, Han Ye (2010). Service Times in Call Centers: Agent Heterogeneity and Learning with Some Operational Consequences, A Festschrift for Lawrence D. Brown, IMS Collections, 6, 99-123.
Farhad Shafti, Tim Bedford, Léa Deleris, Jonathan Hosking, Nicoleta Serban, H. Shen, Lesley Walls (2010). Service Operations Classification for Risk Management, IBM Journal of Research and Development, 54, 7:1-7:17.
Jianhua Z. Huang, H. Shen, Andreas Buja (2009). The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions, Journal of the American Statistical Association, 104, 1609-1620.
H. Shen, Jianhua Z. Huang (2008). Interday Forecasting and Intraday Updating of Call Center Arrivals, Manufacturing & Service Operations Management, 10, 391-410.
H. Shen, Jianhua Z. Huang (2008). Forecasting Time Series of Inhomogeneous Poisson Processes with Applications to Call Center Workforce Management, The Annals of Applied Statistics, 2, 601-623.
H. Shen, Lawrence D. Brown (2006). Nonparametric Modelling of Time-varying Customer Service Times at a Bank Call Center, Applied Stochastic Models in Business and Industry, 22, 297-311.
Guang Guo, Hexuan Liu, Ling Wang, Wen Hu, H. Shen (2015). The Genome-Wide Influence on Human BMI by Life-course, Historical Period and Physical Activity, Demography, 52, 1651-1670.
Yilong Wang, Zixiao Li, Ying Xian, Xingquan Zhao, Hao Li, H. Shen, …, Yongjun Wang (2015). Rationale and Design of a Cluster-Randomized Multifaceted Intervention Trial to Improve Stroke Care Quality in China: The GOLDEN BRIDGE-AIS, American Heart Journal, 169, 767-774.
Ruijun Ji, H. Shen, Yuesong Pan, Penglian Wang, Gaifen Liu, Yilong Wang, Hao Li, Xingquan Zhao, Yongjun Wang (2013). A Novel Risk Score to Predict 1-Year Functional Outcome after Intracerebral Hemorrhage and Comparison with Existing Scores, Critical Care, 17, R275.
Ruijun Ji, David Wang, H. Shen, Yuesong Pan, Gaifen Liu, Penglian Wang, Yilong Wang, Hao Li, Yongjun Wang (2013). Interrelationship Among Common Medical Complications After Acute Stroke: Pneumonia Plays an Important Role, Stroke, 44, 3436-3444.
Ruijun Ji, H. Shen, Yuesong Pan, Penglian Wang, Gaifen Liu, Yilong Wang, Hao Li, Yongjun Wang (2013). A Novel Risk Score to Predict Pneumonia after Acute Ischemic Stroke, Stroke, 44, 1303-1309.
Ruijun Ji, Gaifen Liu, H. Shen, Yilong Wang, Hao Li, Eric Peterson, Yongjun Wang (2013). Persistence of Secondary Prevention Medications after Acute Stroke in Chinese Population: Data from China National Stroke Registry, Neurological Research, 35, 29-36.
Seonjoo Lee, H. Shen, Young Truong, Michelle Lewis, Xuemei Huang (2011). Independent Component Analysis Involving Auto-correlated Sources with an Application to Functional Magnetic Resonance Imaging, Journal of the American Statistical Association, 106, 1009-1024.