معرفی
Professor Sung-Hyuk Cha is affiliated with Pace University's Seidenberg School of CSIS, where he has been a faculty member since 2001. His academic career includes promotions to Associate Professor (2007-2013) and Professor (2013-present).
- Education: PhD in Computer Science (SUNY Buffalo, 2001), MS (Rutgers, 1996), BS (Rutgers, 1994)
- Professional Memberships: AAAI, IEEE, IEEE Computer Society, IS&T, Korean-American S&E Association (Council Member)
His research focuses on Document Analysis, Pattern Recognition, Data Mining, and Distance Measures with applications in biometric authentication, computer vision, and algorithm design. He developed the dichotomy model for handwriting individuality and contributed to pattern recognition in MATLAB.
His publications include work on phylogenetic tree optimization and graph theory problems, reflecting his interest in computational methods. Recent presentations at IEEE conferences and the Machine Intelligence Day (2019) highlight his engagement with the academic community.
- Scientific Awards:
- Faculty Leadership Award (2019)
- Faculty Leadership Award (2004)
He has served on multiple research committees and outreach programs, including as Committee Chair for Machine Intelligence Day 2019.
