[2020][C] U. Parasrampuria, C. Misra and S. Bhattacharya, An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices, 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 5798-5800, doi: 10.1109/BigData50022.2020.9378361.
[2020][C] C. Misra, U. Parasrampuria, S. Bhattacharya and S. K. Ghosh, On Distributed Solution for Simultaneous Linear Symmetric Systems, 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 5780-5782, doi: 10.1109/BigData50022.2020.9377840.
[2020][J] C. Misra, S. Bhattacharya, & S. K. Ghosh, A fast scalable distributed kriging algorithm using Spark framework. International Journal of Data Science and Analytics 10, 249–264 (2020). https://doi.org/10.1007/s41060-020-00215-3.
[2020][J] C. Misra, S. Bhattacharya and S. K. Ghosh, Stark: Fast and Scalable Strassen’s Matrix Multiplication Using Apache Spark, in IEEE Transactions on Big Data, vol. 8, no. 3, pp. 699-710, 1 June 2022, doi: 10.1109/TBDATA.2020.2977326.
[2018][C] C. Misra, S. Haldar, S. Bhattacharya, and S. K. Ghosh. 2018. SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. In Proceedings of the 19th International Conference on Distributed Computing and Networking (ICDCN '18). Association for Computing Machinery, New York, NY, USA, Article 16, 1–10. https://doi.org/10.1145/3154273.3154300.
[2016][BC] Misra, C., Bhattacharya, S., Ghosh, S.K. (2018). SprIntMap: A System for Visualizing Interpolating Surface Using Apache Spark. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-10-8636-6_33
[2014][C] C. Misra, A. Dasgupta. and S. K. Ghosh, A demonstration of GeomSMS: an SMS framework for sharing geospatial features, In Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '14), 2014, Dallas, Texas, USA, pp. 573–576. https://doi.org/10.1145/2666310.2666372.
My Ph.D. Thesis under Prof. Soumya K. Ghosh and Prof. Sourangshu Bhattacharya
Distributed matrix computations for Large Scale Spatial Interpolation on Big Data Platforms
[2024][J] Misra, C., & Chattopadhyay, S., Graph Representation of RaagBase: A Unique Dataset for Hindustani Music, Submitted in Journal of New Music Research
[2023][C] C. Misra, and S. Chattopadhyay, SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet, In Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research (CMMR '23), Tokyo, Japan, 2023, pp. 257-264.
[2022][C] Misra, C. SANGEETTEX: A LATEX ENGINE FOR TRANSCRIBING AND RENDERING INDIC MUSIC, In Proceedings of the 7th International Conference on Technologies for Music Notation and Representation (TENOR '22), Marseille, France, 2022, pp. 85-91.
[2021][C] Misra, C. SangeetXML: An XML Format for Score Retrieval for Indic Music, In Proceedings of the 3rd ACM International Conference on Multimedia in Asia (MMAsia '21), Association for Computing Machinery, New York, NY, USA, Article 66, 1–5. https://doi.org/10.1145/3469877.3493697
[2016][C] C. Misra, T. Chakrabarty, B. Bhattacharya, and A. Basu, SWARALIPI: A FRAMEWORK FOR TRANSCRIBING AND RENDERING INDIC MUSIC SHEET, In Proceedings of the 2nd International Conference on Technologies for Music Notation and Representation (TENOR '16), Cambridge, UK, 2016, pp. 33-45.
[2010][J] C. Misra, B. Bhattacharya, and A. Basu, A new framework to preserve Tagore songs, World Digital Libraries, vol. 3, no. 1, pp. 63-72, June 2010, doi: 10.3233/WDL-120055
My MS (By Research) Thesis under Prof. Anupam Basu and Prof. Baidurya Bhattacharya
A Software System for Transcribing and Rendering Indic Music System