DP
DR RABINARAYAN PANDA
Garden City University, GIET University, Lincoln University College, Purdue Global, NEW WORLD GROUP OF INSTITUE SAUDI ARABIA
Research areas: Computer Science · Computer Vision and Pattern Recognition · Handwritten Text Recognition Techniques · Vehicle License Plate Recognition · Hand Gesture Recognition Systems
About
Having 19 years of experience in the filed of teaching and research. Completed PhD with good expertise knowledge in Image processing , computer vision , cloud technology and Machine learning. Currently a research scholar of
Employment
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Garden City University Associate Professor2025 - 2026
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GIET University RESEARCH SCHOLAR2020 - 2026
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NEW WORLD GROUP OF INSTITUE SAUDI ARABIA Assistant Professor2015 - 2025
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THE OXFORD COLLEGE OF ENGINEERING BANGALORE Assistant Professor2012 - 2015
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THE KRUPANIDHI INSTITUTE OF MANAGEMENT Assistant Professor2008 - 2011
Education
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Lincoln University College POST DOC RESEACH2026 - Present
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Purdue University Global PG IN DEVOPS2024 - 2025
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GIET University PHD2020 - 2026
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Berhampur University MTECH IN COMPUTER SCIENCE AND ENGINEERING2009 - 2011
- 2002 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
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- Assessing the Role of Game-Based Learning in Improving Academic Achievement and Student Motivation Save
- Streamlining Colorectal Cancer Classification using Synergistic SVM-InceptionV3 Approach Save
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- Dimensional engineering of perovskite absorbers: Bridging 2D/3D material for enriching efficiency of 30% Save
- Numerical modeling of CZTS based heterostructured solar cell for high efficiency PV performance Save
- An Adaptive Queue Partitioning Approach for Load Balancing to Improve QoS in Cloud Computing Systems Save
- An Interpretable Hybrid CNN Framework for Severity Classification of Cardiovascular Diseases Using ECG Data Save
- Comparative Analysis and the performance with Transfer Learning Model for Handwritten Marathi characters recognition Save
- Comparative Analysis of CNN and Transfer Learning for Handwritten Odia Character Recognition Save
- Evaluating CNN and Transfer Learning Models for Handwritten Odia Character Recognition Save
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- A Benchmark Dataset for Odia Handwritten Characters and its Recognition Save
- Chronological Evolution: Development and Identification of an Odia Handwritten Character Dataset Using Deep Learning Save
- Implementation of Customized Convolutional Neural Networks for Handwritten Marathi Character Recognition Save
- Diabetes Mellitus Prediction Through Interactive Machine Learning Approaches Save
- The nonleptonic decays of <italic>b</italic>-flavored mesons to <italic>S</italic>-wave charmonium and charm meson states Save
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- CNN Based Handwritten Odia Character Recognition Save