{"id":134430,"date":"2022-10-25T10:07:00","date_gmt":"2022-10-25T01:07:00","guid":{"rendered":"http:\/\/192.249.19.202\/?post_type=research-achieve&p=134430"},"modified":"2026-04-13T18:29:44","modified_gmt":"2026-04-13T09:29:44","slug":"kaist-ee-phd-candidate-yuji-roh-advisor-prof-steven-euijong-whang-won-2022-microsoft-research-phd-fellowship","status":"publish","type":"research-achieve","link":"http:\/\/ee.presscat.kr\/en\/research-achieve\/kaist-ee-phd-candidate-yuji-roh-advisor-prof-steven-euijong-whang-won-2022-microsoft-research-phd-fellowship\/","title":{"rendered":"KAIST EE PhD candidate Yuji Roh (advisor: Prof. Steven Euijong Whang), won 2022 Microsoft Research PhD Fellowship"},"content":{"rendered":"

KAIST PhD candidate Yuji Roh from the School of Electrical Engineering (advisor: Prof. Steven Euijong Whang) was selected as a recipient of the 2022 Microsoft Research PhD Fellowship.\u00a0<\/span><\/p>\n

\"\"<\/span><\/p>\n

[Yuji Roh]<\/span><\/p>\n

 <\/p>\n

The Microsoft Research PhD Fellowship is a scholarship program that recognizes outstanding graduate students for their exceptional and innovative research in areas relevant to computer science and related fields.<\/span><\/div>\n
\u00a0<\/div>\n
This year, 36 people from around the world received the fellowship, and Yuji Roh from KAIST EE is the only recipient from universities in Korea. Each selected fellow will receive a $10,000 scholarship and an opportunity to intern at Microsoft under the guidance of an experienced researcher.<\/span><\/div>\n
\u00a0<\/div>\n
Yuji Roh was named a fellow in the field of \u201cMachine Learning\u201d for her outstanding achievements in Trustworthy AI.<\/span><\/div>\n
Her research highlights include designing a state-of-the-art fair training framework using batch selection and developing novel algorithms for both fair and robust training.<\/span><\/div>\n
Her works have been presented at the top machine learning conferences ICML, ICLR, and NeurIPS among others.<\/span><\/div>\n
\u00a0<\/div>\n
She also co-presented a tutorial on Trustworthy AI at the top data mining conference ACM SIGKDD. She is currently interning at the NVIDIA Research AI Algorithms Group developing large-scale real-world fair AI frameworks.\u00a0<\/span><\/div>\n
\u00a0<\/div>\n
The list of fellowship recipients and the interview videos are displayed on the Microsoft webpage and Youtube.<\/span><\/div>\n
\u00a0<\/div>\n

The list of recipients:\u00a0https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/phd-fellowship\/2022-recipients\/<\/a><\/span><\/p>\n

Interview (Global):\u00a0https:\/\/www.youtube.com\/watch?v=T4Q-XwOOoJc<\/a><\/span><\/div>\n

Interview (Asia):\u00a0https:\/\/www.youtube.com\/watch?v=qwq3R1XU8UE<\/a><\/span><\/p>\n

 <\/p>\n

 <\/p>\n

\"\"<\/span><\/p>\n

[Research achievements of Yuji Roh: Fair batch selection framework (left) and fair and robust training framework (right)]<\/span><\/div>\n","protected":false},"excerpt":{"rendered":"

680<\/p>\n","protected":false},"featured_media":134426,"template":"","research_category":[],"class_list":["post-134430","research-achieve","type-research-achieve","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/research-achieve\/134430","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/research-achieve"}],"about":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/types\/research-achieve"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media\/134426"}],"wp:attachment":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media?parent=134430"}],"wp:term":[{"taxonomy":"research_category","embeddable":true,"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/research_category?post=134430"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}