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. He has more than fourteen 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 and technical institutions. 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.
Administrative Responsibility
Pattern Recognition, Machine Learning, and Offline Handwritten Character Recognition.
Administrative Responsibility
- Program Officer, NSS, SCE, KIIT
- FIC-Google Developer Group (GDG), KIIT
- 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.
Awards & Honours
Memberships
OITS
Journals/Conferences :
1.Dey, R., Piri, J., Acharya, B., Das, P. P., Gerogiannis, V. C., & Kanavos, A. (2025). A hybrid evolutionary fuzzy ensemble approach for accurate software defect prediction. Mathematics, 13(7), Article 1140. https://doi.org/10.3390/math13071140
2.Dey, R., Ray, A. K., Srivastava, A., Sharma, D. K., Pratyush, & Piri, J. (2025). Sentiment analysis using machine learning techniques with a digital dataset survey. In 2025 5th International Conference on Emerging Systems and Intelligent Computing (ESIC) (pp. 410–414). https://doi.org/10.1109/ESIC64052.2025.10962638
3.Dey, R., Piri, J., Behera, D. K., & Khan, A. U. (2024). A time efficient offline handwritten character recognition using convolutional extreme learning machine. Imaging Science Journal, 72(6), 736–748. https://doi.org/10.1080/13682199.2023.2223011
4.Dash, P. R., Balabantaray, R. C., & Dey, R. (2024). An approach for handwritten alphanumeric character recognition: Leveraging CNN for accurate recognition. In 1st International Conference on Cognitive Green and Ubiquitous Computing (IC CGU). https://doi.org/10.1109/IC-CGU58078.2024.10530699
5.Payal, P., Dey, R., Senapati, R., Piri, J., & Mohanty, S. (2024). Medicare: A telemedicine healthcare website. In International Conference on Circuit Power and Computing Technologies (ICCPCT) (pp. 1477–1482). https://doi.org/10.1109/ICCPCT61902.2024.10673273
6.Panda, A. K., Dash, A., Johari, K., Das, S., & Dey, R. (2024). Enhancing the efficacy of virtual study spaces in the age of online learning. In 2024 4th International Conference on Emerging Systems and Intelligent Computing (ESIC) (pp. 620–625). https://doi.org/10.1109/ESIC60604.2024.10481657
7.Johari, K., Das, S., Anupama, M. S., Meghna, Saha, D., Dey, R., & Piri, J. (2024). Navigating financial complexity: The role of a tailored finance tracker application for small businesses. In 1st International Conference on Pioneering Developments in Computer Science and Digital Technologies (IC2SDT) (pp. 344–349). https://doi.org/10.1109/IC2SDT62152.2024.10696814
8.Sarangi, A., Dey, R., Ghosh, A., Tiwari, H. K., & Kumar, A. (2024). Crop price prediction using machine learning algorithms. In IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE). https://doi.org/10.1109/ICSPCRE62303.2024.10675197
9.Rout, S. P., Dey, R., Jha, A., Gupta, M., Kumar, R., Singh, H., & Piri, J. (2024). Investigating the role of machine learning for heart disease prediction. In 10th International Conference on Electrical Energy Systems (ICEES). https://doi.org/10.1109/ICEES61253.2024.10776847
10.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, 22(6), Article 3583988. https://doi.org/10.1145/3583988
11.Piri, J., Mohapatra, P., Dey, R., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2023). Literature review on hybrid evolutionary approaches for feature selection. Algorithms, 16(3), Article 167. https://doi.org/10.3390/a16030167
12.Dey, R., & Balabantaray, R. C. (2022). Similarity evaluation among several benchmark handwritten Latin digits datasets. International Journal of Information Technology (Singapore), 14(6), 2803–2813. https://doi.org/10.1007/s41870-022-01076-8
13.Dey, R., Balabantaray, R. C., & Mohanty, S. (2022). Sliding window based off-line handwritten text recognition using edit distance. Multimedia Tools and Applications, 81(16), 22761–22788. https://doi.org/10.1007/s11042-021-10988-9
14.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 (Singapore), 14(4), 1923–1935. https://doi.org/10.1007/s41870-022-00909-w
15.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. https://doi.org/10.1007/s11042-022-12148-z
16.Dey, R., Balabantaray, R. C., Mohanty, S., Singh, D., Karuppiah, M., & Samanta, D. (2022). Approach for preprocessing in offline optical character recognition (OCR). In International Conference on Interdisciplinary Research in Technology and Management (IRTM). https://doi.org/10.1109/IRTM54583.2022.9791698
17.Dey, R., Balabantaray, R. C., & Samanta, S. (2022). Recognition of handwritten characters from Devanagari, Bangla, and Odia languages using transfer-learning-based VGG-16 networks. Imaging Science Journal, 70(2), 61–74. https://doi.org/10.1080/13682199.2022.2163348
18.Dey, R., & Balabantaray, R. C. (2021). An efficient feature representation strategy for offline computer synthesized font characters using multivariate filter-based feature selection technique. International Journal of Information Technology (Singapore), 13(5), 1733–1743. https://doi.org/10.1007/s41870-021-00780-1
19.Piri, J., Mohapatra, P., & Dey, R. (2021). Multi-objective ant lion optimization based feature retrieval methodology for investigation of fetal wellbeing. In 3rd International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 1732–1737). https://doi.org/10.1109/ICIRCA51532.2021.9544860
20.Dey, R., Balabantaray, R. C., Piri, J., & Singh, D. (2021). Offline natural scene character recognition using VGG16 neural networks. In 3rd International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 946–951). https://doi.org/10.1109/ICIRCA51532.2021.9544539
21.Dey, R., Balabantarayy, R. C., & Piriz, J. (2021). A script independent hybrid feature extraction technique for offline handwritten Devanagari and Bangla character recognition. In 2021 IEEE 18th India Council International Conference (INDICON). https://doi.org/10.1109/INDICON52576.2021.9691708
22.Singh, D., Khan, A. U., Dey, R., Mishra, A., & Nanda, P. K. (2021). IoT based municipality drinking water system through NFC and SCADA. In 2021 19th OITS International Conference on Information Technology (OCIT) (pp. 478–483). https://doi.org/10.1109/OCIT53463.2021.00098
23.Dey, R., Balabantaray, R. C., & Piri, J. (2020). A robust handwritten digit recognition system based on sliding window with edit distance. In CONECCT 2020 6th IEEE International Conference on Electronics, Computing and Communication Technologies (Article 9198385). https://doi.org/10.1109/CONECCT50063.2020.9198385
24.Piri, J., Mohapatra, P., & Dey, R. (2020). Fetal health status classification using MOGA-CD based feature selection approach. In CONECCT 2020 6th IEEE International Conference on Electronics, Computing and Communication Technologies (Article 9198377). https://doi.org/10.1109/CONECCT50063.2020.9198377
25. Dey, R., & Balabantaray, R. C. (2019). A novel sliding window approach for offline handwritten character recognition. In 2019 International Conference on Information Technology (ICIT) (pp. 178–183). https://doi.org/10.1109/ICIT48102.2019.00038
1.Dey, R., Piri, J., Acharya, B., Das, P. P., Gerogiannis, V. C., & Kanavos, A. (2025). A hybrid evolutionary fuzzy ensemble approach for accurate software defect prediction. Mathematics, 13(7), Article 1140. https://doi.org/10.3390/math13071140
2.Dey, R., Ray, A. K., Srivastava, A., Sharma, D. K., Pratyush, & Piri, J. (2025). Sentiment analysis using machine learning techniques with a digital dataset survey. In 2025 5th International Conference on Emerging Systems and Intelligent Computing (ESIC) (pp. 410–414). https://doi.org/10.1109/ESIC64052.2025.10962638
3.Dey, R., Piri, J., Behera, D. K., & Khan, A. U. (2024). A time efficient offline handwritten character recognition using convolutional extreme learning machine. Imaging Science Journal, 72(6), 736–748. https://doi.org/10.1080/13682199.2023.2223011
4.Dash, P. R., Balabantaray, R. C., & Dey, R. (2024). An approach for handwritten alphanumeric character recognition: Leveraging CNN for accurate recognition. In 1st International Conference on Cognitive Green and Ubiquitous Computing (IC CGU). https://doi.org/10.1109/IC-CGU58078.2024.10530699
5.Payal, P., Dey, R., Senapati, R., Piri, J., & Mohanty, S. (2024). Medicare: A telemedicine healthcare website. In International Conference on Circuit Power and Computing Technologies (ICCPCT) (pp. 1477–1482). https://doi.org/10.1109/ICCPCT61902.2024.10673273
6.Panda, A. K., Dash, A., Johari, K., Das, S., & Dey, R. (2024). Enhancing the efficacy of virtual study spaces in the age of online learning. In 2024 4th International Conference on Emerging Systems and Intelligent Computing (ESIC) (pp. 620–625). https://doi.org/10.1109/ESIC60604.2024.10481657
7.Johari, K., Das, S., Anupama, M. S., Meghna, Saha, D., Dey, R., & Piri, J. (2024). Navigating financial complexity: The role of a tailored finance tracker application for small businesses. In 1st International Conference on Pioneering Developments in Computer Science and Digital Technologies (IC2SDT) (pp. 344–349). https://doi.org/10.1109/IC2SDT62152.2024.10696814
8.Sarangi, A., Dey, R., Ghosh, A., Tiwari, H. K., & Kumar, A. (2024). Crop price prediction using machine learning algorithms. In IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE). https://doi.org/10.1109/ICSPCRE62303.2024.10675197
9.Rout, S. P., Dey, R., Jha, A., Gupta, M., Kumar, R., Singh, H., & Piri, J. (2024). Investigating the role of machine learning for heart disease prediction. In 10th International Conference on Electrical Energy Systems (ICEES). https://doi.org/10.1109/ICEES61253.2024.10776847
10.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, 22(6), Article 3583988. https://doi.org/10.1145/3583988
11.Piri, J., Mohapatra, P., Dey, R., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2023). Literature review on hybrid evolutionary approaches for feature selection. Algorithms, 16(3), Article 167. https://doi.org/10.3390/a16030167
12.Dey, R., & Balabantaray, R. C. (2022). Similarity evaluation among several benchmark handwritten Latin digits datasets. International Journal of Information Technology (Singapore), 14(6), 2803–2813. https://doi.org/10.1007/s41870-022-01076-8
13.Dey, R., Balabantaray, R. C., & Mohanty, S. (2022). Sliding window based off-line handwritten text recognition using edit distance. Multimedia Tools and Applications, 81(16), 22761–22788. https://doi.org/10.1007/s11042-021-10988-9
14.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 (Singapore), 14(4), 1923–1935. https://doi.org/10.1007/s41870-022-00909-w
15.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. https://doi.org/10.1007/s11042-022-12148-z
16.Dey, R., Balabantaray, R. C., Mohanty, S., Singh, D., Karuppiah, M., & Samanta, D. (2022). Approach for preprocessing in offline optical character recognition (OCR). In International Conference on Interdisciplinary Research in Technology and Management (IRTM). https://doi.org/10.1109/IRTM54583.2022.9791698
17.Dey, R., Balabantaray, R. C., & Samanta, S. (2022). Recognition of handwritten characters from Devanagari, Bangla, and Odia languages using transfer-learning-based VGG-16 networks. Imaging Science Journal, 70(2), 61–74. https://doi.org/10.1080/13682199.2022.2163348
18.Dey, R., & Balabantaray, R. C. (2021). An efficient feature representation strategy for offline computer synthesized font characters using multivariate filter-based feature selection technique. International Journal of Information Technology (Singapore), 13(5), 1733–1743. https://doi.org/10.1007/s41870-021-00780-1
19.Piri, J., Mohapatra, P., & Dey, R. (2021). Multi-objective ant lion optimization based feature retrieval methodology for investigation of fetal wellbeing. In 3rd International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 1732–1737). https://doi.org/10.1109/ICIRCA51532.2021.9544860
20.Dey, R., Balabantaray, R. C., Piri, J., & Singh, D. (2021). Offline natural scene character recognition using VGG16 neural networks. In 3rd International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 946–951). https://doi.org/10.1109/ICIRCA51532.2021.9544539
21.Dey, R., Balabantarayy, R. C., & Piriz, J. (2021). A script independent hybrid feature extraction technique for offline handwritten Devanagari and Bangla character recognition. In 2021 IEEE 18th India Council International Conference (INDICON). https://doi.org/10.1109/INDICON52576.2021.9691708
22.Singh, D., Khan, A. U., Dey, R., Mishra, A., & Nanda, P. K. (2021). IoT based municipality drinking water system through NFC and SCADA. In 2021 19th OITS International Conference on Information Technology (OCIT) (pp. 478–483). https://doi.org/10.1109/OCIT53463.2021.00098
23.Dey, R., Balabantaray, R. C., & Piri, J. (2020). A robust handwritten digit recognition system based on sliding window with edit distance. In CONECCT 2020 6th IEEE International Conference on Electronics, Computing and Communication Technologies (Article 9198385). https://doi.org/10.1109/CONECCT50063.2020.9198385
24.Piri, J., Mohapatra, P., & Dey, R. (2020). Fetal health status classification using MOGA-CD based feature selection approach. In CONECCT 2020 6th IEEE International Conference on Electronics, Computing and Communication Technologies (Article 9198377). https://doi.org/10.1109/CONECCT50063.2020.9198377
25. Dey, R., & Balabantaray, R. C. (2019). A novel sliding window approach for offline handwritten character recognition. In 2019 International Conference on Information Technology (ICIT) (pp. 178–183). https://doi.org/10.1109/ICIT48102.2019.00038