• Speech and Music Signal Processing
• Instrumentation and Robotics

International Journals:

• Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave and Kartik Mahto, “Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson’s disease prediction,” Computer Speech and Language, Vol.69, 101216, 2021[SCIE-Index]
• Karan, Biswajit, Sitanshu Sekhar Sahu, and Kartik Mahto. "Hilbert spectrum analysis for automatic detection and evaluation of Parkinson’s speech." Biomedical Signal Processing and Control 61 (2020): 102050.[SCI-index]
• Karan, Biswajit, Sitanshu Sekhar Sahu, and Kartik Mahto. "Parkinson disease prediction using intrinsic mode function based features from speech signal." Biocybernetics and Biomedical Engineering 40.1 (2020): [SCI-index]
• Kumari Rambha Ranjan, Kartik Mahto, “A Review:  A Singer Identification and Analysis of Musical Performance”, International Journal of Latest Engineering Research and Applications, 02, 11-16(2017)
• Mahto K., Solanki S.S., and Chakraborty S., “Automatic extractions of notes and their onsets from Indian classical music signal,” International Journal of Applied Engineering Research, vol. 9, No. 21, 2014.
•  Chakraborty S.,  Ranganayakulu R., Chauhan S., Solanki S.S., and Mahto K., “Given a raga recording, can we scientifically verify which school of Vadi-Samvadi selection is supported by the artist?,” International Journal of Computers & Technology, vol. 4 No. 2, March-April, 2013.
• Chakraborty S., Shukla R. K., Mahto K.,  Solanki S.S., Chauhan S., Loveleen, and Krishnapriya K., “ On analyzing the melodic Structure of a north Indian raga through an ARIMA model,” International Journal of Advanced Science, Engineering and Technology. vol.1, Issue 1, 2012,
• Chakraborty S., Solanki S.S, Roy S., Chauhan S., Tripathy S. S., and Mahto K. , “A statistical approach to modeling Indian classical music performance,” International Journal of Computational Cognition, vol. 9, No. 4, December 2011.
• Chakraborty S.,  Krishnapriya K., Loveleen, Chauhan S., Solanki S. S., and Mahto K., “Melody revisited: Tips from Indian music theory,” International Journal of Computational Cognition, vol. 8, No. 3, September 2010
• Chakraborty S.,  Ranganayakulu R., Chauhan S., Solanki S.S., and Mahto K., “A statistical analysis of raga Ahir Bhairav,” Journal of  Music and Meaning  vol. 8, Sec. 4, Winter 2009. 
• Chakraborty S.,  Ranganayakulu R., Chauhan S., Solanki S.S., and Mahto K., “An interesting comparison between a morning raga with an evening one using graphical statistics,” Philomusica online, vol. 7, No. 1, 200

International Conferences:

• D. H. Mundri, S. S. Solanki and K. Mahto, "An approach to finding the most suitable algorithm for noise reduction in a Neonatal cry signal," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-4, doi: 10.1109/ICCCNT56998.2023.10307902.
• Karan, Biswajit, Sitanshu Sekhar Sahu, and Kartik Mahto. "Stacked auto-encoder based Time- frequency features of Speech signal for Parkinson disease prediction." 2020 International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2020
• Karan, Biswajit, Kartik Mahto, and Sitanshu Sekhar Sahu. "Detection of Parkinson disease using variational mode decomposition of speech signal." 2018 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2018.
• Kamlesh Kishore, Kartik Mahto and Arvind Kumar, “Automatic Raga Classification Based on THAAT”, IRF International Conference Kolkata, 26th Feb. 2017
• Mahto K., Hota A., Solanki S.S., and Chakraborty S., “A study on artist similarity using projection pursuit and MFCC,” International Conference on “Computing for Sustainable Global Development”, 5th– 7th March, 2014 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA).
• Solanki S. S., Tripathy S. S., Roy S., Mahto K., and  Chakraborty S., “Raga identification using probabilistic neural network (PNN),” International Symposium on Frontiers of Research in Speech and Music, FRSM-09, IIITM Gwalior, India.
• Chakraborty S.,  Shukla R. K., Kumari M., Krishnapriya K., Loveleen , Chauhan S., Solanki S.S., and Mahto K., “A statistical analysis of raga Bageshree,” International Symposium on Frontiers of Research in Speech and Music, FRSM-09, IIITM Gwalior, India.

•  "Intelligent Speech Processing in the Time-Frequency Domain." Intelligent Speech Signal Processing. Academic Press, 2019. 153-173.(BOOK CHAPTER)
• "Signal Analysis of Hindustani Classical Music”,  Springer Publications.