SC Forum: The convergence of phase change phenomena, data, and art

UC 어바인 원윤진 교수 (공대 01)
기계공학자가 물 부적 해결사로 나선다.

Date: Tuesday, April 12, 2022, 5:00 – 7:00 pm PT
Speaker: 원윤진 (공대 00) 교수
Organizer: SoCal Chapter
ZOOM

원윤진 (공대 01) 박사
Dr. Yoonjin Won
Associate Professor
Mechanical and Aerospace Engineering
University of California, Irvine

Abstract: Phase changes are observed in our everyday life in nature and many industrial applications ranging from dew condensation on insects, water droplet harvesting, electronics immersion cooling in data centers, climatology prediction, and materials manufacturing. Unveiling the thermofluidic principles that can make efficient use of phase changes in these systems has been a daunting challenge for a long time. Central to this understanding is the extraction of interpretable and rich datasets from dynamic and fast-moving liquid-vapor interfaces, represented as bubbles or droplets. These challenges may be addressed by using the revolutionary machine vision that integrates convolutional neural network models. Therefore, my research group aims to provide a holistic description of thermofluidic physics about dynamic phase change processes by converging the recent advancements in artificial intelligence (AI), machine vision, data science, and materials science. Finally, I will end my talk by briefly discussing the convergence of art and science by showcasing a couple of our lab activities.

Bio: Yoonjin Won received a B.S. degree in Mechanical and Aerospace Engineering from Seoul National University, and M.S. and Ph.D. degrees in Mechanical Engineering from Stanford University. She is currently an Associate Professor of Mechanical and Aerospace Engineering at the University of California, Irvine. She has courtesy appointments in Electrical Engineering and Computer Science and Materials Science Engineering. Dr. Won’s overarching research goal is to gain fundamental insights into multiscale interfacial and thermofluidic science, centering on keywords—AI for science, graphic-driven physics, data-driven approach, and materials design. She is a recipient of the National Science Foundation CAREER Award, the ASME Electronic & Photonic Packaging Division Early Career Award, the ASME Electronic & Photonic Packaging Division Women Engineer Award, the ASME ICNMM Outstanding Leadership Award, the Emerging Innovation/Early Career Innovator from UCI Beall Innovation Center, the UCI Samueli Career Development Fellowship, and numerous best paper and poster awards. The key papers are published in high impact journals including Advanced Science, Advanced Functional Materials, Small, Proceedings of National Academy of Science (PNAS), and American Chemical Society (ACS) journals. Additional details for Dr. Won’s qualifications and research group are available online (won.eng.uci.edu).

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