Vira Chankong, PhD, MS, BS

Associate Professor
Department of Electrical Engineering and Computer Science
Case School of Engineering

Develops rapid learning and optimization methods for intensity modulated radiation therapy, and develops new paradigm for combinatorial optimization.

Teaching Information

Teaching Interests

Main teaching interests are optimization, dynamic optimization, large-scale optimization, and computational engineering such as simulation and computational mathematics. Can also teach Signals and Systems, Engineering Economics, and Systems Thinking and Systems Approach to Problem Solving.

Research Information

Research Interests

Dr. Chankong's research interests are in the areas of large-scale optimization, multiobjective optimization, logic-based discrete optimization, and intelligent computing. He has published several papers in multiple objective optimization, large-scale optimization, systems methodology, and applications of decision theory, optimization and information technology to medical research and engineering design and operation problems. His current research focuses on application of systems concepts and systems tools to radiation treatment planning, signaling pathways and other systems biology problems. His special interests are in the development of specialized large-scale optimization algorithms for treatment planning of Gamma Knife radiosurgery and Intensity Modulated Radiation Therapy, data mining, and supply chain management. Professor Chankong is a senior member of IEEE and IIE, and a member of SIAM and INFORMS.

 

Awards and Honors

Srinivasa P. Gutti Memorial Teaching Award Nominee
2018
Ohio Alpha chapter of Tau Beta Pi National Engineering Honor Society
Nominee for the John S. Diekhoff award
2016
CWRU
Nominee for the Diekoff Award
2011
CWRU
Nominee of CWRU Wittke Award
2005
CWRU
Semi-Finalist, INFORMS Franz Edelman Award
1997
INFORMS

External Appointments

  • 2016 - , Duke Medical Center, Duke University

Publications

  • Chankong, V. (2017). A System Dynamics Model for Predicting Supply and Demand of Medical Education Talents in China. EURASIA Jounal of Mathecal Science and Technology Education, 13
  • Kanchanaharuthai, A., Chankong, V., & Loparo, K. A. (2015). Nonlinear generator excitation and superconducting magnetic energy storage control for transient stability enhancement via immersion and invariance. , 37 (10), 1217-1231.
  • Kanchanaharuthai, A., Chankong, V., & Loparo, K. A. (2015). Transient Stability and Voltage Regulation in Multimachine Power Systems Vis-a-Vis STATCOM and Battery Energy Storage. , 30 (5), 2404-2416.
  • Kanchanaharuthai, A., Chankong, V., & Loparo, K. A. (2014). Nonlinear generator excitation and superconducting magnetic energy storage control for transient stability enhancement via immersion and invariance. Transactions of the Institute of Measurement and Control.
  • Kanchanaharuthai, A., Chankong, V., Loparo, K. A., & Others, K. A. (2014). Transient stability and voltage regulation in multimachine power systems Vis-à-Vis STATCOM and battery energy storage. IEEE.
  • Hobbs, B., Jitprapaikulsarn, S., Konda, S., Chankong, V., Loparo, K. A., & Maratukulam, D. A. (1999). Analysis of the value for unit commitment of improved load forecasts. Power Systems, IEEE Transactions on, 14 (4), 1342–1348.
  • Hobbs, B., Jitprapaikulsarn, S., Konda, S., Chankong, V., Loparo, K., & Maratukulam, D. (1998). Analysis of the value for unit commitment of improved load forecasts. IEEE Power Engineering Review, 18 (12), 54–54.
  • Loparo, K. A., & Chankong, V. A. (1990). A two-level structure for advanced space power system automation. NASA STI/Recon Technical Report N, 92 , 34226.

Education

PhD
Systems Engineering
Case Western Reserve University
1977
MS
Systems Engineering
Asian Institute of Technology, Thailand
1974
BS with honor
Electrical Engineering-Mathematics/Physics
University of New South Wales, Australia
1971