Chandan Misra, 2020, A Fast Scalable Distributed Kriging Algorithm using Spark Framework, Springer

Chandan Misra, 2020, Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark, IEEE

Chandan Misra, 2010, A New Framework to Preserve Tagore Songs, IOS Press, India

C. Misra, O. H. S. Sahoo, S. Tripathy, and S. Mathur, "Clustered Diagonal Segment Format (CDSF): A Practical and Memory-Efficient Storage for Sparse Diagonal and Banded Matrices", in 2025 IEEE 32st International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW), Hyderabad, India, 2025, pp. 98-99

Misra, C., Chakraborty, A., & Dutta, S. (2025, December). Preserving and Retrieving Hindustani Music Notation: A Symbolic Music Processing Architecture for Digital Libraries. In 2025 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 344-347). IEEE.

Misra C., and Chattopadhyay S. (2023, November 13-17). SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet [Oral Presentation]. CMMR 2023, Tokyo, Japan

, 2022, SangeetTEX: A LaTeX Engine for Transcribing and Rendering Indic Music,

, 2021, SangeetXML: An XML Format for Score Retrieval for Indic Music,

, 2020, On Distributed Solution for Simultaneous Linear Symmetric Systems,

, 2020, An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices,

, 2018, SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark,

, 2017, SprIntMap: A System for Visualizing Interpolating Surface using Apache Spark,

, 2016, Swaralipi: A Framework For Transcribing and Rendering Indic Music Sheet,

, 2014, A Demonstration of GeomSMS: An SMS Framework for Sharing Geospatial Features,

Music Generation in the AI Era