Email Address:

Organization: Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha

Qualification: Ph.D

Enrollment Number: 2024-05-30-5727

Office Address: Dr. Rama Ranjan Panda Assistant Professor Department of Computer Science and Engineering Jagamohan Nagar Jagamara Bhubaneswar, Odisha, 751030

Valid Till: 2029-05-30

Publications

Panda, R. R., & Nagwani, N. K. (2024). Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning. Knowledge and Information Systems, 66(3), 2135-2164.

Panda, R. R., & Nagwani, N. K. (2024). Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure. Applied Soft Computing, 150, 111048.

Panda, R. R., & Nagwani, N. K. (2023). An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes. Engineering Applications of Artificial Intelligence, 122, 106110.

Panda, R. R., & Nagwani, N. K. (2022). Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging. Knowledge and Information Systems, 64(11), 3081-3111.

Panda, R. R., & Nagwani, N. K. (2022). Classification and intuitionistic fuzzy set based software bug triaging techniques. Journal of King Saud University-Computer and Information Sciences, 34(8), 6303-6323.

Panda, R. R., & Nagwani, N. K. (2023). Fuzzy modelling techniques for improving multi-label classification of software bugs. International Journal of Innovative Computing and Applications, 14(3), 141-154.

Panda, R. R., & Nagwani, N. K. (2022). Ipsfs: intuitionistic, pythagorean, and spherical fuzzy similarity computation package in r. Software Impacts, 14, 100424.

Panda, R. R., & Nagwani, N. K. (2021). Multi-label software bug categorisation based on fuzzy similarity. International Journal of Computational Science and Engineering, 24(3), 244-258.

Panda, R. R., & Nagwani, N. K. (2023, December). Intuitionistic Fuzzy Set Based Ensemble Approaches for Software Bug Triaging. In 2023 OITS International Conference on Information Technology (OCIT) (pp. 120-125). IEEE.

Panda, R. R., & Nagwani, N. K. (2022, November). An improved software bug triaging approach based on topic modeling and fuzzy logic. In Proceedings of Third DoSCI 2022 (pp. 337-346).

Panda, R. R., & Nagwani, N. K. (2023). Fuzzy Logic Based Computational Technique for Analyzing Software Bug Repository. In Computational Intelligence Applications for Software Engineering Problems (pp. 97-118).

Rathoriya, P., Panda, R. R., & Nagwani, N. K. (2022, June). A Novel Approach for Bug Triaging Using TOPSIS. In International Conference on Frontiers of Intelligent Computing: Theory and Applications (pp. 125-135).

Rathoriya, P., Panda, R. R., & Nagwani, N. K. (2022, March). A Clustering and TOPSIS-Based Developer Ranking Model for Decision-Making in Software Bug Triaging. In International Conference on MISP (pp. 139-150).

Sharma, H., Panda, R. R., & Nagwani, N. K. (2021, August). SPIN: a novel hybrid dimensionality reduction technique for cervical cancer risk classification. In 2021 8th International Conference SPIN (pp. 516-521). IEEE.

Gopu, P., Panda, R. R., & Nagwani, N. K. (2021). Time series analysis using ARIMA model for air pollution prediction in Hyderabad city of India. In 3rd ICSCSP 2020, Volume 1 (pp. 47-56).

Dutta, A., Pooja, G., Jain, N., Panda, R. R., & Nagwani, N. K. (2021). A hybrid deep learning approach for stock price prediction. In Machine Learning for Predictive Analysis: Proceedings of ICTIS 2020 (pp. 1-10).

Dutta, A., Nayak, A., Panda, R. R., & Nagwani, N. K. (2020, July). A Neuro Fuzzy System Based Inflation Prediction of Agricultural Commodities. In 2020 11th ICCCNT (pp. 1-6). IEEE.

Panda, R. R., & Nagwani, N. K. (2019, December). Software bug categorization technique based on fuzzy similarity. In 2019 IEEE 9th International Conference on Advanced Computing (IACC) (pp. 1-6). IEEE.

Panda, R. R., Gouda, B. S., Patro, D., & Panigrahi, T. (2015, September). Optimal path finding algorithm using neighbor position in a Wireless Ad Hoc Network. In 2015 IC4 (pp. 1-5).

Panda, R. R., Gouda, B. S., & Panigrahi, T. (2014, December). Efficient fault node detection algorithm for wireless sensor networks. In 2014 ICHPCA (pp. 1-5). IEEE.

Panda, R. R., & Reza, M. (2014, January). Optimization of buffer overflow probability in jackson queueing networks using mamdani fuzzy inference system. In 2014 2nd ICBIM) (pp. 92-98). IEEE.

Murarka, P. R., Reza, M., & Panda, R. R. (2014). Analysis of Multithreading in Java for Symbolic Computation on Multicore Processors. In ETCC 2014, March 22-23, 2014 (pp. 305-313). Springer India.

Panda, R. R., & Reza, M. (2013, October). Analysis and estimation of overflow probability in Jackson queueing networks. In 2013 C2SPCA (pp. 1-6). IEEE.