미국내 한국인 컴퓨터공학 교수
구분이 직관적이진 않은데요, 미국대학에선 computer science 와 computer engineering 이 따로 있는 곳이 많습니다. 여기선 물론 두 군데 다 포함시켰구요, 수학을 하신 분들이 꽤 있습니다. 그리고, 우리가 흔히 알고 있는 top 20 학교 외에 공학과 컴퓨터가 특히 센 곳 대학들을 몇 군데 더 알아봤습니다 - Carnegie Mellon, Georgia Tech, Purdue, Illionois, Texas, Washington
California Institute of Technology (Caltech)
정순조: 카이스트, MIT
컴퓨터공학, 우주항공공학 겸임교수, NASA JPL (Jet Propulsion Laboratory) 연구교수
Columbia University
이재우: Columbia, Columbia
cloud computing, 월스트리트에서 재직하다가 “죄를 뉘우치기 위해” 학계로 다시 돌아왔다고 함
Cornell University
이동율 (Daniel Lee): Harvard, MIT
robotics, autonomy, 삼성연구소 부사장
서국원 (Edward Suh): 서울대, MIT
computer architecture, systems
Massachusetts Institute of Technology (MIT)
Yoon Kim: Cornell, Harvard
natural language processing and machine learning
Princeton University
Sebastian Seung (승현준): Harvard, Harvard
computational biology, machine learning, computational neuroscience
삼성연구소 소장
만 16세에 하바드 입학, 17세에 부터 하바드 대학원 수업 시작
Purdue University
박기홍: 서울대, Boston University
design and control issues in high-speed multimedia networks, scalable network security, and robust distributed systems
정창희: 서울대, Georgia Tech
computer architecture with a focus on performance, reliability, and security
University of California Berkeley
Yun S. Song: MIT, Stanford
mathematical and computational biology
University of California Los Angeles (UCLA)
김미령: 카이스트, University of Washington
software engineering for data analytics, debugging, testing, and optimization for big data systems
조정후: 서울대, Stanford
search engines, database systems, digital libraries, large-scale data management
University of Illinois Urbana-Champaign
김남성: 카이스트, University of Michigan
architecture and system technology for scalable computing
박용주: 서울대, University of Michigan
intelligent data-intensive systems using statistical and Artificial Intelligence techniques
University of Michigan
신강근: 서울대, Cornell
wireless/mobile computation and networks, security and dependability, cyber-physical systems, embedded real-time systems.
이의웅: Caltech, Carnegie Mellon
algorithms, computational complexity, graph theory, convex optimization
이홍락: 서울대, Stanford
machine learning, deep learning, AI, computer vision
University of Pennsylvania (UPENN)
이인섭: University of North Carolina, University of Wisconsin
cyber-physical systems, internet of Medical Things, autonomous systems
University of Texas
한미경: 카이스트, University of Texas
wireless networking, signal processing, mobile sensing, and health monitoring
김혜지: 카이스트, Stanford
information theory and machine learning
최은솔: Cornell, University of Washington
natural language processing
University of Washington
이수인: 카이스트, Stanford
AI applications for biology and medicine
오세웅: 서울대, Stanford
AI, machine learning, theory of computation
최예진: 서울대, Cornell
natural language processing, 위 Texas 최은솔의 지도교수
Yale University
Theo Kim: Cornell, University of North Carolina
physics-based simulation
