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Assistant Professor Shu-Han Hsu Honored with 2024 Google Research Scholar Award

Since 2021, Google has been supporting young scholars in areas relevant to Google’s interests through its Research Scholars Program. This initiative invites applications from faculty and researchers affiliated with universities worldwide. Recipients of this award can receive up to $60,000 from Google to support their research projects, and is exceptionally competitive. This year represents the first time faculty from institutions in Taiwan receiving this award, with two professors awarded this distinction.

Dr. Shu-han Hsu, assistant professor at NCKU CSIE

Dr. Shu-han Hsu, an assistant professor at the Department of Computer Science and Information Engineering (CSIE) at National Cheng Kung University (NCKU), is one of the first two recipients from Taiwan who has received the international prestigious 2024 Google Research Scholar Award. One of only two recipients in Taiwan to be distinguished with this honor, this achievement also represents the first occasion that a researcher from a Taiwanese institute has received this award. Professor Hsu holds a PhD from Georgia Institute of Technology in Electrical and Computer Engineering, double masters from Purdue University in Materials Engineering and National Taiwan University in Photonics and Optoelectronics, and an undergraduate degree from National Cheng Kung University in Materials Science and Engineering.

Dr. Shu-han Hsu and graduate student Hong-Wei Xue analyzing TEM sample

Dr. Shu-han Hsu is extremely grateful and honored to receive this award. She is also very thankful for Google’s generous support in pursuing innovative research. Her proposal is “Adaptive Transmission Electron Microscopy (TEM): Incorporating Large Language Models for Automated TEM Imaging, Debugging and Explainability”, which aims to design intelligent transmission electron microscopy (TEM) tools. Professor Shu-han Hsu would like to recognize her graduate student, Hong-Wei Xue, for his technical contributions to the research.

Dr. Shu-han Hsu’s research team at NCKU CSIE

TEM is one of the most essential tools for analyzing materials characterization at the nanometer scale. TEM is often used in the semiconductor industry for failure analysis in chips, as well as understanding and checking the materials properties at the atomic level. However, the complexity of TEM operation and the knowledge required to interpret the results limits its widespread application. The proposal plans to utilize large language models (LLMs) to guide TEM users in obtaining clear imaging and results interpretation. This approach not only aims to help researchers gain a deeper understanding of the material characteristics probed, but also reduces the limitations that operational complexity places on its widespread application. By significantly reducing the time and costs associated with operating a transmission electron microscope, Dr. Shu-han Hsu aims to facilitate interdisciplinary collaboration and accelerate innovation within the field of materials science.


Original Source:https://web.ncku.edu.tw/p/406-1000-267409,r3635.php?Lang=en

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