Dr. Rong Liu

School: School of Business
Building: Babbio 619
Phone: 201.216.5028
Email: rong.liu@stevens.edu

Ph.D, Business Administration, Penn State University
B.E. Industrial Engineering, Shanghai Jiao Tong University, Shanghai, China


  • Blockchain
  • Deep Learning
  • Text Mining
  • Business Process Management

See my publications and patents at Google Scholar profile




Research Staff Member, IBM T.J. Watson Research Center, 2006 - 2017


Professional Service
  • Guest Editor, Special Issue on Blockchain and Smart Contracts, Journal of Database Management (JDM)
  • Program Committee, Workshop on Information System Technologies (WITS)
  • Organizing Committee, Workshop on Methodologies for Robustness Injection into Business Processes, held in conjunction with the 17th IEEE International EDOC Conference (EDOC 2013)
  • Program Committee, International Conference on Business Process Management (BPM 2014-2017)
Patents & Inventions
  • Predicting anomalies and incidents in a computer application, US Patent 9,582,344
  • Task association analysis in application maintenance service delivery, US Patent 9,575,799
  • Diagnosing incidents for information technology service management, US Patent 9,317,829
  • Automatic extraction of user mobility behaviors and interaction preferences using spatio-temporal data,US Patent App. 15/088,227
  • Retargeting system for decision making units, US Patent App. 14/979,984
  • Predicting anomalies and incidents in a computer application, US Patent App. 14/745,969
  • Process management using representation state transfer architecture, US Patent 8,984,046
  • Monitoring enterprise performance, US Patent 8,949,104
  • Creation of flexible workflows using artifacts, US Patent 8,661,444
  • Accelerating collaboration in task assignment by using socially enhanced model, US Patent App. 14/045,411
  • Continuous improvement of global service delivery augmented with social network analysis, US Patent App. 13/851,514
  • Accommodating schedule variances in work allocation for shared service delivery, US Patent App.13/835,404
  • Automatic generation of executable components from business process models, US Patent 8,340,999
  • Process management using representation state transfer architecture, US Patent App. 13/425,713
  • Uniformly Managing Resources and Business Operations, US Patent App. 13/224,079
  • Deriving entity-centric solution models from industry reference process and data models, US Patent App. 12/834,389


Selected Publications
  1. Kumar, A., Liu, R., and Shan, Z.. "Is Blockchain a Silver Bullet for Supply Chain Management? Technical Challenges and Research Opportunities", Decision Sciences, forthcoming, 2019.
  2. Liu, R., Wu, F. Y., and Kumaran, S.. (2010). "Transforming Activity-Centric Business Process Models into Information-Centric Models for SOA Solutions", Journal of Database Management, 4 (21), 14-34.
  3. Liu, R., Kumar, A.. (Oct 20, 2009). "Leveraging Information Sharing to Configure Supply Chains", Information Systems Frontier, 1-13.
  4. Liu, R., Kumar, A., and Wil van der Aalst. (2007). "A Formal Modeling Approach for Supply Chain Event Management", Decision Support Systems, (43), 761-778.
Conference Proceedings
  1. Su, Y., Zhao, Y., Niu, C., Liu, R., Sun, W. and Pei, D.. (2019). "Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network", ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019).
  2. Su, Y., Liu, R., Zhu, J., Li, H., Pei, D. (2019). "CoFlux: Robustly Correlating KPIs by Fluctuations for Service Troubleshooting", IEEE/ACM International Symposium on Quality of Service (IWQoS 2019).
  3. Zhao, N., Zhu, J., Liu, R., Liu, D., Zhang, M., and Pei, D.. (2019). "Label-Less: A Semi-automatic Labeling Tool for KPI Anomalies", Infocom 2019.
  4. Li, Z., Zhao, Y., Liu, R., Pei, D.. (2018). "Robust and Rapid Clustering of KPIs for Large-Scale Anomaly Detection", IEEE/ACM International Symposium on Quality of Service (IWQoS 2018).
  5. Liu, R., Agrawal, B., Vempaty, A., Sherchan, W., Tan, M., Sin, S.. (2018). "A Data-Driven Approach to Job Capability Profiling", International Conference on Artificial Intelligence in Education (AIED 2018).
  6. Agrawal, B., Liu, R., Kokku, R., Chee, YM, Jagmohan, A, Nitta, S., Tan, M., Sin, S.. (2017). "4C: Continuous Cognitive Career Companions", International Conference on Artificial Intelligence in Education (AIED 2017).
  7. Liu, R., Buccapatnam, S., Gifford, W.M. and Sheopuri, A.. (2016). "An Unsupervised Collaborative Approach to Identifying Home and Work Locations", 17th IEEE International Conference on Mobile Data Management (MDM 2016).
Book Chapters
  1. Liu, R., Agarwal, S., Sindhgatta, R.R. and Lee, J.. (2015). "Service Delivery Resource Management Using a Socially Enhanced Resource Model", Maximizing Management Performance and Quality with Service Analytics, Y. Diao, & D. Rosu, 148-177.
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