Bingnan Jiang
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==Skills== | ==Skills== | ||
- | *'''Operations Research: ''' Linear Programming, Mixed Integer Programming, Stochastic Programming, Multi-objective Optimization, | + | *'''Operations Research: ''' Linear Programming, Mixed Integer Programming, Stochastic Programming, Multi-objective Optimization, Particle Swarm Optimization, Discrete-event Simulation, Data Visualization, Regression, Data Visulization |
*'''Machine Learning: ''' Markov Decision Process, Hidden Markov Model, Q-learning, Neural Network, Kernel Density Estimation, Decision Tree, Naïve Bayes | *'''Machine Learning: ''' Markov Decision Process, Hidden Markov Model, Q-learning, Neural Network, Kernel Density Estimation, Decision Tree, Naïve Bayes | ||
*'''Programming & Modeling Language: ''' Java, R, SQL, ILOG OPL, C/C++, Python, Linux Shell Scripting | *'''Programming & Modeling Language: ''' Java, R, SQL, ILOG OPL, C/C++, Python, Linux Shell Scripting | ||
*'''Web Development: ''' Struts, Hibernate, Web Services, SOA, WSDL, XML | *'''Web Development: ''' Struts, Hibernate, Web Services, SOA, WSDL, XML | ||
- | *'''Software & Tools: ''' Eclipse, AnyLogic, CPLEX, RStudio, MATLAB, DB2 | + | *'''Software & Tools: ''' Eclipse, AnyLogic, CPLEX, Tableau, RStudio, MATLAB, DB2 |
*'''Operating System: ''' Linux, Windows, Mac OS | *'''Operating System: ''' Linux, Windows, Mac OS | ||
*'''Software Engineering: ''' Algorithms, Design Pattern, Data Structure | *'''Software Engineering: ''' Algorithms, Design Pattern, Data Structure |
Revision as of 10:25, 14 May 2016
Operations Research Analyst/Data Scientist at Norfolk Southern Corporation
Atlanta, Georgia
Contents |
Education
- Ph.D. Computer Engineering, Aug. 2015
Northeastern University, Boston, MA, USA
- M.S. Control Theory and Control Engineering, Jan. 2010
Best thesis award
Beihang University, Beijing, China
- B.S. Automatic Control and Information Technology, July 2007
Beihang University, Beijing, China
Research Interests
- Energy Efficient Cyber-Physical System: Smart Grid, Plug-in Hybrid Electric Vehicles, Intelligent Transportation System
- Optimization: Large-scale Scheduling, Stochastic Programming, Metaheuristic Optimization, Inventory Management
- Data Mining & Machine Learning: Forecasting, Classification, Regression, Clusting, Reinforcement Learning
- Distributed System: Multi-Tiered System, SOA System
- Multi-Agent System: Multi-Agent Optimization and Simulation System
Skills
- Operations Research: Linear Programming, Mixed Integer Programming, Stochastic Programming, Multi-objective Optimization, Particle Swarm Optimization, Discrete-event Simulation, Data Visualization, Regression, Data Visulization
- Machine Learning: Markov Decision Process, Hidden Markov Model, Q-learning, Neural Network, Kernel Density Estimation, Decision Tree, Naïve Bayes
- Programming & Modeling Language: Java, R, SQL, ILOG OPL, C/C++, Python, Linux Shell Scripting
- Web Development: Struts, Hibernate, Web Services, SOA, WSDL, XML
- Software & Tools: Eclipse, AnyLogic, CPLEX, Tableau, RStudio, MATLAB, DB2
- Operating System: Linux, Windows, Mac OS
- Software Engineering: Algorithms, Design Pattern, Data Structure
Publications
- B. Jiang and Y. Fei, “A PHEV power management cyber-physical system for on-road applications,” IEEE Trans. Vehicular Technology, under second round review.
- B. Jiang and Y. Fei, “Vehicle speed prediction by two-level data driven models in vehicular networks,” IEEE Trans. Intelligent Transportation Systems, under second round review.
- B. Jiang and Y. Fei, "Traffic and Vehicle Speed Prediction with Neural Network and Hidden Markov Model in Vehicular Networks," Proc. IEEE Intelligent Vehicles Symp. (IV'15), June, 2015.
- B. Jiang and Y. Fei, “Smart home in smart microgrid: A cost-effective energy ecosystem with intelligent hierarchical agents,” IEEE Trans. Smart Grid, vol.6, no.1, pp.3-13, Jan. 2015.
- B. Jiang and Y. Fei, "On-road PHEV power management with hierarchical strategies in vehicular networks," Proc. IEEE Intelligent Vehicles Symp. (IV'14), June, 2014.
- B. Jiang and Y. Fei, "Decentralized scheduling of PEV on-street parking and charging for smart grid reactive power compensation," Proc. IEEE PES Innovative Smart Grid Technologies (ISGT), Feb. 2013.
- B. Jiang and Y. Fei, “Dynamic residential demand response and distributed generation management in smart microgrid with hierarchical agents,” Proc. Int. Conf. on Smart Grid & Clean Energy Technologies, Sept. 2011.
- B. Jiang and H. Zhang, “Realization of distributed traffic simulation system with SCA and SDO”, in Proc. IEEE Int. Conf. on Future Information Technology and Management Engineering, Dec. 2009, pp. 222-225.
- B. Jiang and H. Zhang, “Architecture of distributed traffic simulation system based on SOA and Multi-agents”, in Proc. Int. Conf. on Computer Technology and Development, Nov. 2009, pp. 216-221.
- B. Jiang and H. Zhang, “Design of distributed traffic simulation system based on struts framework and Service Component Architecture”, J. of University of Shanghai for Science and Technology, vol.31, no.5, pp. 439-443, 2009.
- B. Jiang and H. Zhang, “Design and persistence of road network for distributed traffic simulation”, System Simulation Technology, vol. 5, no. 3, pp.144-148, 2009.
Patent & Software Copyrights
- Design method of distributed traffic simulation system based on Service Oriented Architecture, Chinese patent, 2009102603854.
- Software of road network generation and management for distributed traffic simulation system, Chinese Software Copyright.
- Intelligent monitoring system, Chinese Software Copyright.
Journal Reviewer
- IEEE Transactions on Smart Grid
- IEEE Transactions on Power System
- IEEE Transactions on Sustainable Energy
- IEEE Transactions on Vehicular Technology
- IEEE Transactions on Intelligent Transportation Systems
- IEEE Transactions on Industrial Electronics
- IEEE Communications Magazine
- IEEE Embedded Systems Letters
- Applied Energy
- Energy Conversion and Management
- ACM Transactions on Embedded Computing Systems
- IET Generation, Transmission & Distribution
- International Journal of Electrical Power and Energy Systems
- British Journal of Applied Science & Technology
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