
Poh Kok LOO
Profile
SIT Appointments
- Associate Professor– Present
- Deputy Programme Director, SIT-DP BEng (Hons) Systems Engineering (ElectroMechanical Systems)–
- Assistant Professor–
Education
- Doctorate of PhilosophyNational University of Singapore , Singapore
- Master's of Science (Computer and Information Science)National University of Singapore , Singapore
- Bachelor of Science (Computer Science) Magna Cum LaudeThe University of Tulsa , United States
Achievements
- The Ralph W. Veatch Award for Outstanding Scholastic Achievement in Mathematical and Computer Sciences, University of Tulsa
- Dean’s List, College of Engineering and Applied Sciences, University of Tulsa–
Professional Memberships
- Member, The Honor Society of Phi Kappa Phi, USA–
- Member, National Engineering Honor Society (Tau Beta Pi), USA–
Research
Research Interests
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Computer Vision
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Video and Image Analysis
Publication
Conferences
Y.T.Chong, P.K.Loo, Z.Q.Ding, “Knowledge Discovery through the Machine Learning of Farming Parameters and Yield Performance”, International Conference on Industrial Engineering & Engineering Management, Macau.
P.K. Loo and C.L.Tan, "Word Extraction using Irregular Pyramid", Document Recognition and Retrieval VII Conference, SPIE, San Jose, CA, USA.
P.K.Loo and C.L.Tan, “Using Irregular Pyramid for Text segmentation and Binarization of Gray Scale images”, 7th International Conference on Document Analysis and Recognition, Edinburgh, Scotland.
Z.Q.Ding, P.K.Loo, Y.T.Chong, “Fish Tracking by Machine Vision for Indoor Farming Systems”, Proceedings of the 4th World Engineers Summit, Singapore.
P.K.Loo and C.L.Tan, “Word and sentence extraction using irregular pyramid", 5th International Workshop on Document Analysis Systems, Princeton, New Jersey, USA.
P.K.Loo and C.L.Tan, “Adaptive Region Growing Color Segmentation for Text using Irregular Pyramid”, 6th International Workshop on Document Analysis Systems, Florence, Italy.
P.K.Loo and C.L.Tan, “Detection of Word Group based on Irregular Pyramid”, 6th International Conference on Document Analysis and Recognition, Seattle, Washington, USA.