Dr. Rong Liu

ASSOCIATE PROFESSOR
Building: Babbio 619
Phone: 201.216.5028
Email: rong.liu@stevens.edu
Education

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

 

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

See my publications and patents at Google Scholar profile

Experience

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

 

Professional Service
  • 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
Journals
  1. 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.
  2. Liu, R., Kumar, A.. (Oct 20, 2009). "Leveraging Information Sharing to Configure Supply Chains", Information Systems Frontier, 1-13.
  3. 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.
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.
Conference Proceedings
  1. 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).
  2. 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).
  3. 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).
  4. 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).
Courses
  • BIA 660 Web Analytics