9th International Conference on Computational Vision and Robotics (ICCVR-2019)
(Date June 15-16, 2019 )Bhubaneswar
Organized by: I.I.M.T., Bhubaneswar, Odisha, India
Organising Committee
General Chair
Prof. (Dr.) Srikanta Patnaik,
SOA Deemed to be University,
Founder and Chairman
Interscience Institute of Management and Technology,
Bhubaneswar, India
Program Chair
Prof. Dr.Roumen Kountchev,
Faculty of Telecommunications,
Department of Radio Communications and Video Technologies
Technical University of Sofia, Bulgaria.
International Advisory Chair
Prof. Dr.Sc.Kazumi Nakamatsu,
School of Human Science and Environment
University of Hyogo, Japan
Prof. Dr. Nilanjan Dey,
Department of Information Technology,
Techno India College of Technology,
Kolkata, INDIA.
Organizing Chair
Prof. (Dr.) Sushanta Kumar Panigrahi,
Principal
Interscience Institute of Management and Technology,
Bhubaneswar, India
Dr. D. Jude Hemanth,
Associate Professor
ECE Department
Karunya University
Coimbatore-641114, India
Convenor
Mrs. Pragyan Nanda
Asst. Professor
Interscience Institute of Management and Technology,
Bhubaneswar, India
Co-ordinator
Mrs. Sroojani Mohanty, Asst. Professor
Interscience Institute of Management and Technology,
Bhubaneswar, India
Dr. D. Jude Hemanth,
Associate Professor
ECE Department
Karunya University
Coimbatore-641114, India
Convenor
Mrs. Pragyan Nanda
Asst. Professor
Interscience Institute of Management and Technology,
Bhubaneswar, India
Co-ordinator
Mrs. Sroojani Mohanty, Asst. Professor
Interscience Institute of Management and Technology,
Bhubaneswar, India
Submission Guidelines
- The submissions may be of any form out of the following:
- New algorithms with empirical, theoretical, psychological, or biological justification.
- Experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems.
- Applications of existing techniques that shed light on the strengths and weaknesses of the methods.
- New learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks.
- Development of new analytical frameworks that advance theoretical studies of practical learning methods.
- Computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.
Sponsored by
IIMT, Bhubaneswar (INDIA)
IRNet (INDIA)
Important Dates
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