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O. Hugo Schuck Award

The Hugo Schuck Award is given to recognize the best two papers presented at the previous ACC. One award is for a paper emphasizing contributions to theory and the other emphasizing significant or innovative applications. The papers must have been presented by the awardee or a coauthor. Criteria for selection include the quality of the written and oral presentation, the technical contribution, timeliness, and practicality.

Chao Ning and Fengqi You

Year: 
2020
Citation: 
Paper: 
2019 ACC Paper (Application): Data-Driven Adaptive Robust Optimization Framework for Unit Commitment under Renewable Energy Generation Uncertainty
Chao Ning received the B.Eng. degree in Automation from University of Electronic Science and Technology of China in 2012, and M.S. degree in Control Science and Engineering from Tsinghua University, China, in 2015. He is currently working toward the Ph.D. degree at Cornell University, USA. His research interests include data-driven optimization under uncertainty, learning for dynamics and control, big data analytics and machine learning, power systems operations, and renewable energy systems.
 
Text of Acceptance Speech: 

Richard P. Mason and Antonis Papachristodoulou

Year: 
2015
Citation: 
Paper: 
“Chordal Sparsity, Decomposing SDPs and the Lyapunov Equation”, pages 531-537
Richard Mason received the MEng degree in Engineering Science from the University of Oxford, UK in 2010. Currently, he is working towards the DPhil degree in the Department of Engineering Science at the University of Oxford under the supervision of Professor Papachristodoulou. His PhD research is focussed on exploiting sparsity within optimisation problems in control theory. Mr. Mason received the Student Best Paper Award at the 2014 American Control Conference.
 
Text of Acceptance Speech: 

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