Paulraj is a Professor Emeritus of Electrical Engineering at Stanford University. He is a pioneer of MIMO wireless communications. He has won over a dozen awards, notably the Marconi Prize and Fellowship, 2014 and the IEEE Alexander Graham Bell Medal, 2011. In 1999, Paulraj founded Iospan Wireless Inc., acquired in by Intel Corporation in 2003. In 2004, Paulraj co-founded Beceem Communications Inc., acquired by Broadcom Corp. in 2010. During his 30 years in the Indian (Navy) (1961-1991), he founded three national level laboratories in India and headed one of India’s most successful military R&D projects – APSOH sonar.
Yong Jae is an Assistant Professor in Computer Science at the University of California, Davis. His lab works on computer vision and machine learning research, with a particular focus on recognition algorithms that can learn with minimal human supervision. Yong Jae received his PhD from the University of Texas at Austin and was a postdoctoral fellow at Carnegie Mellon University and UC Berkeley.
Machine Learning Researcher (firstname.lastname@example.org)
Heerang is a graduate school student in UNIST. He started working with Egovid since October 2018. He has majored Data Informatics at Korea Maritime and Ocean University (KMOU). His research concentration is in a privacy preserving algorithm with machine learning.
Machine Learning Reasearcher (email@example.com)
Hui Soo Kim is almost managing Egovid’s system part with great knowledge about computer science, getting a CS degree at Chonnam National University. He joined Egovid in October 2018. He is taking part in machine learning engineering with a microscopy project
Machine Learning Reasearcher (firstname.lastname@example.org)
Moohyun Oh is a machine learning researcher, who joined Egovid Nov 2018. He has a great background in technology with a degree of Mechanical Engineering in Seoul Nat’l Univ of Science & Technology. He participated in the 3D printer development project in the computational science research center at the Korea Institute of Science and Technology (KIST) as an intern. He is working as a privacy preserving machine learning engineer in Egovid.
Adjunct Machine Learning Researcher (email@example.com)
Myoung Un is a graduate school student in UNIST. She has been working with EgoVid for collaborative machine learning research since Aug. 2016. She demonstrated an extreme low resolution face detection technology with EgoVid in IEEE CVPR 2017.
Adjunct Machine Learning Researcher (firstname.lastname@example.org)
Jonggyu has been studying at UNIST, while achieving a combined Masters-PhD degree in Electrical Engineering. He is a collaborative deep learning researcher since Sep. 2018. He has been working on the microscopy project
Machine Learning Researcher (email@example.com)
Kiyoon studied machine learning algorithms and their implementation at EgoVid since Oct. 2016. He won prizes in Korea Supercomputing Challenge and Korea Olympiad in Informatics. He developed an extreme low resolution activity recognition deep learning algorithm and demonstrated its implementation in IEEE CVPR 2017. He is joining the University of Edinburgh for his MS degree in 2018.