Sang-Bum Kim

Sang-Bum Kim is an accomplished expert in search quality and machine learning with extensive experience in the technology sector. Currently serving as Executive Director of Search Quality at Naver Corp. since June 2011, Sang-Bum Kim leads efforts in web page ranking modeling and large-scale image search utilizing deep learning techniques. Prior experience includes roles as Manager/Senior Research Engineer at SK Telecom, focusing on machine translation and mobile search, and as a Research Engineer at NHN, emphasizing web page ranking and spam detection. Additionally, Sang-Bum Kim contributed to the field as a Visiting Researcher at the Tokyo Institute of Technology, specializing in opinion mining, and as an Assistant Research Professor at Korea University, where the focus was on plagiarism detection. Sang-Bum Kim holds a PhD, MS, and BS in Computer Science from Korea University, with a strong foundation in advanced computational techniques.