Google+Ph.D.+Fellowship
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KAIST and Google Partner to Develop AI Curriculum
Two KAIST professors, Hyun Wook Ka from the School of Transdisciplinary Studies and Young Jae Jang from the Department of Industrial and Systems Engineering, were recipients of Google Education Grants that will support the development of new AI courses integrating the latest industrial technology. This collaboration is part of the KAIST-Google Partnership, which was established in July 2019 with the goal of nurturing AI talent at KAIST.
The two proposals -- Professor Ka’s ‘Cloud AI-Empowered Multimodal Data Analysis for Human Affect Detection and Recognition’ and Professor Jang’s ‘Learning Smart Factory with AI’-- were selected by the KAIST Graduate School of AI through a school-wide competition held in July. The proposals then went through a final review by Google and were accepted. The two professors will receive $7,500 each for developing AI courses using Google technology for one year.
Professor Ka’s curriculum aims to provide a rich learning experience for students by providing basic knowledge on data science and AI and helping them obtain better problem solving and application skills using practical and interdisciplinary data science and AI technology.
Professor Jang’s curriculum is designed to solve real-world manufacturing problems using AI and it will be field-oriented. Professor Jang has been managing three industry-academic collaboration centers in manufacturing and smart factories within KAIST and plans to develop his courses to go beyond theory and be centered on case studies for solving real-world manufacturing problems using AI.
Professor Jang said, “Data is at the core of smart factories and AI education, but there is often not enough of it for the education to be effective. The KAIST Advanced Manufacturing Laboratory has a testbed for directly acquiring data generated from real semiconductor automation equipment, analyzing it, and applying algorithms, which enables truly effective smart factory and AI education.”
KAIST signed a partnership with Google in July 2019 to foster global AI talent and is operating various programs to train AI experts and support excellent AI research for two years.
The Google AI Focused Research Award supports world-class faculty performing cutting-edge research and was previously awarded to professors Sung Ju Hwang from the Graduate School of AI and Steven Whang from the School of Electrical Engineering along with Google Cloud Platform (GCP) credits. These two professors have been collaborating with Google teams since October 2018 and recently extended their projects to continue through 2021.
In addition, a Google Ph.D. Fellowship was awarded to Taesik Gong from the School of Computing in October this year, and three Student Travel Grants were awarded to Sejun Park from the School of Electrical Engineering, Chulhyung Lee from the Department of Mathematical Sciences, and Sangyun Lee from the School of Computing earlier in March. Five students were also recommended for the Google Internship program in March.
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2020.12.11 View 10007 -
KAIST's Doctoral Candidate Receives the 2015 Google Ph.D. Fellowship
Shin-Ae Woo, a doctoral student of Professor Su-Bok Moon of KAIST’s School of Computer Engineering, has received the 2015 Google Ph.D. Fellowship.
The fellowship’s term lasts one year, starting September 2015.
The fellowship awarded Ms. Woo with USD 10,000 of cash prize, an opportunity to meet a Google research mentor, and a summer internship at the company.
Created in 2009, the Google Ph.D. Fellowship annually recognizes outstanding doctoral students around the world in computer science and its related fields.
This year, a total of 44 doctoral students including Ms. Woo, who is studying networking and distributed system, have been nominated.
She has also received the NSDI (Networked Systems Design and Implementation) 2015 Community Award and the 2014 Samsung Human Technology Journal Silver Prize for her research work on “Design and Implementation of Highly Scalable User-level TCP Stack for Multicore Systems” and “Comparison of Caching Strategies in Modern Cellular Backhaul Networks.”
Currently, Ms. Woo is working with UC Berkeley faculty on next-generation data centers for a research exchange program.
2015.09.15 View 5651