Faculty Details
Dr. Gopal Thapa
Associate Professor & Deputy Registrar(Admin& Acad) Department of Computer Applications
- Ph.D, Computer Science and Engineering (Video Processing), SMIT, 2017
- M Tech, IT, SMIT, 2009
- M.Sc Physics, Computer Applications, SMIT, 2007
- B.Sc, Physics, Sikkim Govt. College, 1995
- Sikkim Manipal Institute of Technology, Associate Professor , April 2024 - Present.
- Sikkim Manipal Institute of Technology, Assistant Professor II, , 2010 - March 2024
- EIILM University, Lecturer, Teaching, 6 months
- ICFAI University, Sikkim, Asst. Professor, Lab Programmer, 2 years
- Area of Interest Video and Image Processing, Artificial Intelligence, Cloud Computing
- Area of Expertise DBMS, DIP, C++, Python
- Area of Research Video and Image Processing
AREAS OF INTEREST, EXPERTISE AND RESEARCH
- Teacher guardian of students.
- Guide for BTech, MCA and BCA students in their mini and major projects.
- Department Lab Coordinator
- Department Budget Coordinator
- Departmental Academic Board Member
Gopal Thapa is Assistant Professor II in the Department of Computer Applications at SMIT.
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Video compression techniques: A survey
August 01, 2010 | Gopal Thapa (On deputation to SMU)
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Object base fast motion estimation and compensation algorithm for surveillance video compression
December 03, 2014 | Gopal Thapa (On deputation to SMU) | Kalpana Sharma | M.K Ghose
In surveillance systems, the storage requirements for video archival are a major concern because of recording of videos continuously for long periods of time, resulting in large amounts of data. Therefore, it is essential to apply efficient compression techniques for compressing surveillance video. International Journal of Signal Processing, Image Processing and Pattern Recognition
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Hierarchical coding structure for video coding and its applicability in Scalable Video Coding
August 07, 2013 | Gopal Thapa (On deputation to SMU) | Dipendra Dhakal | Kiran Gautam | Bishal Pradhan | Ashis Pradhan
A wavelet based hierarchical coding structure has been proposed which selects best matched reference frame for the current frame to be encoded based on the mean square error (MSE) in the group of picture (GOP). International Journal of Computer Application
