Ming C. Lin
Ming C. Lin | |
|---|---|
| Nationality | American |
| Alma mater | Berkeley |
| Known for | Lin-Canny algorithm |
| Scientific career | |
| Fields | Computer scientist |
| Institutions | North Carolina |
| Doctoral advisor | John F. Canny |
Prof. Ming C. Lin is the Beverly W. Long[1] Distinguished Professor of Computer Science at the University of North Carolina at Chapel Hill.[2][3] She was previously an assistant professor at the Naval Postgraduate School and North Carolina Agricultural and Technical State University. She is the co-author of the Lin-Canny closest features algorithm.[4] Her research interests are in physically-based modeling, haptics, robotics, 3D computer graphics, computational geometry, and interactive computer simulation.[2] She is the Associate Editor in Chief of IEEE Transactions on Visualization and Computer Graphics.[5]
References
- ^ "Beverly Whitaker Long". The NCA Women Leaders Project. National Communication Association. Retrieved February 3, 2010.
- ^ a b "Faculty Biography: Ming C. Lin". People. Department of Computer Science, University of North Carolina at Chapel Hill. Retrieved February 3, 2010.
- ^ "Ming Lin". A K Peters. Retrieved February 3, 2010.
- ^ "Lin-Canny Closest Features Algorithm". Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Retrieved February 3, 2010.
- ^ "About TVCG". IEEE Transactions on Visualization and Computer Graphics. IEEE Computer Society. Retrieved February 3, 2010.
External links
- Ming C. Lin home page at the Department of Computer Science, University of North Carolina at Chapel Hill
- GAMMA research group at the Department of Computer Science, University of North Carolina at Chapel Hill
- Template:Dblp name
See also
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