Funded Research Projects in Energy Systems

  • Co-Principal Investigator, Integrated LIBS-RAMAN-AI System for Real-Time, In-Situ Chemical Analysis of MSW, supported by the U.S. Department of Energy (DOE) via Lehigh University, 2021-2025
  • Principal Investigator, Constructing Meta-Models Using Machine Learning, supported by Ingersoll-Rand plc, 2019
  • Co-Principal Investigator, An Interdisciplinary Approach to Integratable, Composable and Evolvable Cybersecurity in Energy Delivery Systems, a subaward from the University of Arkansas supported by the U.S. Department of Energy (DOE), 2015-2020
  • Principal Investigator, Performance Analysis of Substation Automation Systems for Smart Grids, supported by ABB, Inc. and Pennsylvania Department of Community and Economic Development via Pennsylvania Infrastructure Technology Alliance, 2014-2015
  • Principal Investigator, Data Mining And Disaggregation Utilizing “Green Button” Data For Consumer Energy-Use Response, supported by PPL Corp. and Pennsylvania Department of Community and Economic Development via Pennsylvania Infrastructure Technology Alliance, 2013-2014
  • Principal Investigator, Keystone Smart Grid Fellowship Program, supported by the U.S. Department of Energy (DOE), 2010-2015
    • Enhanced the sustainability of the Energy Systems Engineering Institute at Lehigh University and the Power and Energy Initiative at University of Pittsburgh
    • Supported thirteen graduate students at Lehigh University and eight graduate students at the University of Pittsburgh, with diverse education, career, and culture backgrounds, e.g. a former college professor, three high-school teachers, and several Africa-American, Hispanic-American, and Asian-American students
    • Resulted in top journal and conference papers, training materials, and testbeds, and students outreached to middle and high schools via seminar talks and course/curriculum development to promote awareness of smart grid technologies
    • Supported training of ten utility employees and strengthened university/industry collaborations

Peer-reviewed Research Publications in Energy Systems

  • Jiajun Duan, Kaifeng Zhang, and Liang Cheng, A novel method of fault location for single-phase microgrids, IEEE Transactions on Smart Grid, Vol. 7,  No. 2, pp. 915-925, 2016. [PDF]
  • Huan Yang, Liang Cheng, and Mooi Choo Chuah, Deep-learning-based network intrusion detection for SCADA systems, 2019 IEEE International Workshop on Cyber-Physical Systems Security (CPS-Sec’19) at IEEE Conference on Communications and Network Security (CNS’19), Washington, D.C., June 10-12, 2019.
  • Huan Yang and Liang Cheng, Bounding network-induced delays of wireless PRP infrastructure for industrial control systems, IEEE International Conference on Communications (ICC), May 20-24, 2019, Shanghai, China.
  • Huan Yang, Liang Cheng, and Mooi Choo Chuah, Detecting payload attacks on programmable logic controllers (PLCs), IEEE Conference on Communications and Network Security (CNS), Beijing, China, May 2018. [PDF]
  • Huan Yang, Liang Cheng, and Xiaoguang Ma, Analyzing Worst-Case Delay Performance of IEC 61850-9-2 Process Bus Networks Using Measurements and Network Calculus, in the Proceeding of The Eighth International Conference on Future Energy Systems (ACM e-Energy), Hong Kong, May 17-19, 2017. [PDF]
  • Huan Yang, Liang Cheng, and Mooi Choo Chuah, Modeling DNP3 Traffic Characteristics of Field Devices in SCADA Systems of the Smart Grid, 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Part of CPS Week, Pittsburgh, PA, April 21, 2017. [PDF]
  • Huan Yang, Liang Cheng, and Mooi Choo Chuah, Evaluation of Utility-Privacy Trade-Offs of Data Manipulation Techniques for Smart Metering, 2016 IEEE Conference on Communications and Network Security (CNS): International Workshop on Cyber-Physical Systems Security (CPS-Sec), Philadelphia, PA, October 19, 2016. [PDF]
  • Huan Yang, Liang Cheng, and Mooi Choo Chuah, Detecting Peer-to-Peer Botnets in SCADA Systems, 2016 IEEE Global Communications Conference: Workshops: Cyber-Physical Smart Grid Security and Resilience, Washington DC, December 4, 2016. [PDF]

Teaching and Invited Talks

Liang Cheng, Ph.D. © 2015