PhD Candidate Heo wins INFORMS 2023 QSR Best Student Paper Competition
Congratulations to STT Ph.D. candidate Junoh Heo for recently winning the INFORMS 2023 QSR Best Student Paper Competition by Quality, Statistics, and Reliability (QSR) section, Institute for Operations Research and the Management Sciences (INFORMS, https://www.informs.org) with his paper Active Learning For A Nonadditive Model For Multi-Fidelity Computer Simulations at the INFORMS 2023 annual meeting this past fall semester.
“A hearty congratulations to Junoh Heo for this well-deserved honor! Your pioneering research is an asset to the community of Quality Statistics and Reliability, and we are eager to see your future scholarly contributions,” said the INFORMS Quality Statistics and Reliability (QSR) team.
“I’m thrilled that Junoh won the competition,” said Dr. Chih-Li Sung, STT assistant professor. “The award is highly competitive and well-recognized in the Quality Statistics and Reliability (QSR) community. This award paid off Junoh's hard work. I’m proud of his excellent achievement.”
"This is my great honor and pleasure to win the INFORMS 2023 QSR Best Student Paper Competition. I couldn't have achieved this accomplishment without the unwavering support from my advisor, Professor Sung,” said Junoh. “I would like to express my sincere gratitude to him for his countless support and invaluable advice. Additionally, I'm deeply grateful to my PhD guidance committee, the STT staff, and my fellow PhD students. I truly appreciate the supportive culture within STT. Lastly, I hope this recognition could be a wonderful start of my academic career, and I will continue working hard to achieve further honors. Thank you all for your support and encouragement!"
Junoh’s paper focused on multi-fidelity computer emulation; integrating low- (computationally cheap but less accurate) and high-fidelity (computationally expensive but accurate) simulations to efficiently improve the prediction accuracy under the limited computational resources.
In addition, Junoh also received the MSU Council of Graduate Students (COGS) conference award to use towards travel for this event.
For more information about Junoh’s award, see https://www.informs.org/Recognizing-Excellence/Community-Prizes/Quality-Statistics-Reliability-Section/Best-Student-Paper
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