Dr. Gil-Jin Jang is a professor at Kyungpook National University, South Korea. He received his B.S. and M.S. degree in computer science from the Korea Advanced Institute of Science and Technology (KAIST), Daejon, South Korea in 1997 and 1999, respectively. He also received his Ph.D. degree in the same department in February 2004. From 2004 to 2006, he was a research staff at the Samsung Advanced Institute of Technology, and, from 2006 to 2007, he worked as a research engineer at Softmax, Inc. in San Diego. From 2008 to 2009, he joined the Shiley Eye Center at University of California, San Diego as a postdoctoral scholar. From November 2009 to February 2014, he was an assistant professor at the School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST). Dr. Jang's research interests include deep learning and machine learning theories, acoustic signal processing, blind signal separation, speech recognition and enhancement, and biomedical signal processing.
Research Keywords & Expertise
Deep Learning
Speech Enhancement
Speech Signal Processi...
Speech Emotion Recogni...
sound and music comput...
Fingerprints
18%
Deep Learning
Short Biography
Dr. Gil-Jin Jang is a professor at Kyungpook National University, South Korea. He received his B.S. and M.S. degree in computer science from the Korea Advanced Institute of Science and Technology (KAIST), Daejon, South Korea in 1997 and 1999, respectively. He also received his Ph.D. degree in the same department in February 2004. From 2004 to 2006, he was a research staff at the Samsung Advanced Institute of Technology, and, from 2006 to 2007, he worked as a research engineer at Softmax, Inc. in San Diego. From 2008 to 2009, he joined the Shiley Eye Center at University of California, San Diego as a postdoctoral scholar. From November 2009 to February 2014, he was an assistant professor at the School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST). Dr. Jang's research interests include deep learning and machine learning theories, acoustic signal processing, blind signal separation, speech recognition and enhancement, and biomedical signal processing.