Raghunath Dey
Raghunath Dey
Assistant Professor
Dr. Raghunath Dey is currently working as an Assistant Professor in School of Computer Engineering Department, KIIT Deemed to be University, Bhubaneswar, Odisha. He has done M.E. in Information Technology from Jadavpur University, Kolkata, W.B. in the year 2012. Dr. Dey received his PhD award from IIIT Bhubaneswar, Odisha in the year 2022. He has more than eleven years of teaching experience. He has published many research publications in peer- reviewed journals such as Multimedia Tools and Applications, ACM Transactions on Asian and Low-Resource Language Information Processing, etc. Dr. Dey also has done a patent under IP Australia in the year 2021. He has delivered presentations at many international conferences. His area of research lies in Pattern Recognition, Machine Learning, and Offline Handwritten Character Recognition.
Profile Links
Email :
[email protected]
Google Scholar :
https://scholar.google.com/citations?hl=en&user=U9LxQMgAAAAJ&view_op=list_works&sortby=pubdate
Social Links
Research Interests
Pattern Recognition, Machine Learning, and Offline Handwritten Character Recognition.
Awards & Honours
Memberships
OITS
Pattern Recognition, Machine Learning, and Offline Handwritten Character Recognition.
Awards & Honours
- Best Paper award from International Conference on Machine Intelligence and Data Science Applications (2021). Springer. Held at UPES, Dehradun, Uttarakhand, India.
- Best Presenter award from International Conference On Interdisciplinary Research in Technology & Management (2022). IEEE. Held at IEM and UEM, Kolkata, India.
Memberships
OITS
Journals/Conferences :
1. Dey, R., Balabantaray, R. C., & Mohanty, S. (2021). Sliding window based off-line handwritten text recognition using edit distance. Multimedia Tools and Applications, 1-28.
2. Dey, R., Balabantaray, R.C. An efficient feature representation strategy for offline computer synthesized font characters using multivariate filter based feature selection technique. Int. j. inf. tecnol. (2021). https://doi.org/10.1007/s41870-021-00780-1
3. Dey, R., Balabantaray, R. C., & Piri, J. (2022). Similarity evaluation among several benchmark handwritten latin digits datasets. International Journal of Information Technology,
14(6), 2803-2813.
4. Piri, J., Mohapatra, P., & Dey, R. (2022). Investigating association relationship between fetal heart rate parameters from cardiotocography employing multi-objective evolutionary
algorithms. International Journal of Information Technology, 14(4), 1923-1935.
5. Dey, R., Balabantaray, R. C., & Mohanty, S. (2022). Offline Odia handwritten character recognition with a focus on compound characters. Multimedia Tools and Applications, 81(8), 10469-10495.
6. Piri, J., Mohapatra, P., & Dey, R. (2022). Investigating association relationship between fetal heart rate parameters from cardiotocography employing multi-objective evolutionary algorithms. International Journal of Information Technology, 14(4), 1923-1935.
7. Dey, R., & Balabantaray, R. C. (2023). Development of a Benchmark Odia Handwritten Character Database for an Efficient Offline Handwritten Character Recognition with a
Chronological Survey. ACM Transactions on Asian and Low-Resource Language Information Processing.
8. Dey, R., Balabantaray, R. C., & Samanta, S. (2023). Recognition of handwritten characters from Devanagari, Bangla, and Odia languages using transfer-learning-based VGG-16 networks. The Imaging Science Journal, 1-14.
Conferences
1. Dey, R., & Balabantaray, R. C. (2019, December). A novel sliding window approach for offline handwritten character recognition. In 2019 International conference on information
technology (ICIT) (pp. 178-183). IEEE.
2. Dey, R., Balabantaray, R. C., & Piri, J. (2020, July). A robust handwritten digit recognition system based on sliding window with edit distance. In 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (pp. 1-6). IEEE.
3. J. Piri, P. Mohapatra and R. Dey, "Fetal Health Status Classification Using MOGA - CD Based Feature Selection Approach," 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2020, pp. 1-6, doi: 10.1109/CONECCT50063.2020.9198377.
4. Dey, R., & Balabantaray, R. C. (2021). A Reduced Feature Representation Scheme for Offline Handwritten Character Recognition. In Data Engineering and Intelligent Computing (pp. 629- 637). Springer, Singapore.
5. Dey, R., & Balabantaray, R. C. (2021). Offline Computer-Synthesized Font Character Recognition Using Machine Learning Approaches. In Proceedings of International Conference
on Machine Intelligence and Data Science Applications (pp. 635-647). Springer, Singapore.
6. J. Piri, P. Mohapatra and R. Dey, "Multi-objective Ant Lion Optimization Based Feature Retrieval Methodology for Investigation of Fetal Wellbeing," 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021, pp. 1732-1737, doi: 10.1109/ICIRCA51532.2021.9544860.
7. R. Dey, R. C. Balabantaray, J. Piri and D. Singh, "Offline Natural Scene Character Recognition Using VGG16 Neural Networks," 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021, pp. 946-951, doi: 10.1109/ICIRCA51532.2021.9544539.
8. Dey, R., Balabantaray, R. C., Mohanty, S., Singh, D., Karuppiah, M., & Samanta, D. (2022, February). Approach for Preprocessing in Offline Optical Character Recognition (OCR). In 2022 Interdisciplinary Research in Technology and Management (IRTM) (pp. 1-6). IEEE.
9. Dey, R., Balabantarayy, R. C., & Piriz, J. (2021, December). A Script Independent Hybrid Feature Extraction Technique for Offline Handwritten Devanagari and Bangla Character Recognition. In 2021 IEEE 18th India Council International Conference (INDICON) (pp. 1-7). IEEE.
10. Singh, D., Khan, A. U., Dey, R., Mishra, A., & Nanda, P. K. (2021, December). IoT Based Municipality Drinking Water System through NFC and SCADA. In 2021 19th OITS International Conference on Information Technology (OCIT) (pp. 478-483). IEEE.
1. Dey, R., Balabantaray, R. C., & Mohanty, S. (2021). Sliding window based off-line handwritten text recognition using edit distance. Multimedia Tools and Applications, 1-28.
2. Dey, R., Balabantaray, R.C. An efficient feature representation strategy for offline computer synthesized font characters using multivariate filter based feature selection technique. Int. j. inf. tecnol. (2021). https://doi.org/10.1007/s41870-021-00780-1
3. Dey, R., Balabantaray, R. C., & Piri, J. (2022). Similarity evaluation among several benchmark handwritten latin digits datasets. International Journal of Information Technology,
14(6), 2803-2813.
4. Piri, J., Mohapatra, P., & Dey, R. (2022). Investigating association relationship between fetal heart rate parameters from cardiotocography employing multi-objective evolutionary
algorithms. International Journal of Information Technology, 14(4), 1923-1935.
5. Dey, R., Balabantaray, R. C., & Mohanty, S. (2022). Offline Odia handwritten character recognition with a focus on compound characters. Multimedia Tools and Applications, 81(8), 10469-10495.
6. Piri, J., Mohapatra, P., & Dey, R. (2022). Investigating association relationship between fetal heart rate parameters from cardiotocography employing multi-objective evolutionary algorithms. International Journal of Information Technology, 14(4), 1923-1935.
7. Dey, R., & Balabantaray, R. C. (2023). Development of a Benchmark Odia Handwritten Character Database for an Efficient Offline Handwritten Character Recognition with a
Chronological Survey. ACM Transactions on Asian and Low-Resource Language Information Processing.
8. Dey, R., Balabantaray, R. C., & Samanta, S. (2023). Recognition of handwritten characters from Devanagari, Bangla, and Odia languages using transfer-learning-based VGG-16 networks. The Imaging Science Journal, 1-14.
Conferences
1. Dey, R., & Balabantaray, R. C. (2019, December). A novel sliding window approach for offline handwritten character recognition. In 2019 International conference on information
technology (ICIT) (pp. 178-183). IEEE.
2. Dey, R., Balabantaray, R. C., & Piri, J. (2020, July). A robust handwritten digit recognition system based on sliding window with edit distance. In 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (pp. 1-6). IEEE.
3. J. Piri, P. Mohapatra and R. Dey, "Fetal Health Status Classification Using MOGA - CD Based Feature Selection Approach," 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2020, pp. 1-6, doi: 10.1109/CONECCT50063.2020.9198377.
4. Dey, R., & Balabantaray, R. C. (2021). A Reduced Feature Representation Scheme for Offline Handwritten Character Recognition. In Data Engineering and Intelligent Computing (pp. 629- 637). Springer, Singapore.
5. Dey, R., & Balabantaray, R. C. (2021). Offline Computer-Synthesized Font Character Recognition Using Machine Learning Approaches. In Proceedings of International Conference
on Machine Intelligence and Data Science Applications (pp. 635-647). Springer, Singapore.
6. J. Piri, P. Mohapatra and R. Dey, "Multi-objective Ant Lion Optimization Based Feature Retrieval Methodology for Investigation of Fetal Wellbeing," 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021, pp. 1732-1737, doi: 10.1109/ICIRCA51532.2021.9544860.
7. R. Dey, R. C. Balabantaray, J. Piri and D. Singh, "Offline Natural Scene Character Recognition Using VGG16 Neural Networks," 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021, pp. 946-951, doi: 10.1109/ICIRCA51532.2021.9544539.
8. Dey, R., Balabantaray, R. C., Mohanty, S., Singh, D., Karuppiah, M., & Samanta, D. (2022, February). Approach for Preprocessing in Offline Optical Character Recognition (OCR). In 2022 Interdisciplinary Research in Technology and Management (IRTM) (pp. 1-6). IEEE.
9. Dey, R., Balabantarayy, R. C., & Piriz, J. (2021, December). A Script Independent Hybrid Feature Extraction Technique for Offline Handwritten Devanagari and Bangla Character Recognition. In 2021 IEEE 18th India Council International Conference (INDICON) (pp. 1-7). IEEE.
10. Singh, D., Khan, A. U., Dey, R., Mishra, A., & Nanda, P. K. (2021, December). IoT Based Municipality Drinking Water System through NFC and SCADA. In 2021 19th OITS International Conference on Information Technology (OCIT) (pp. 478-483). IEEE.