Research Experience
Worked as a JRF and SRF before joining the college.

Research Guidance
Co-Supervisor of two PhD candidates at CSE dept. Jadavpur University, Kolkata.

Area of Specialization
Digital  Signal Processing, Pattern Recognition.

Area of Research Interest
Biomedical Signal Processing. Fractals, Chaos and Non-linear Dynamics.
 

Journals
Sarkar R, Choudhury S, Dutta S, Roy A, Saha SK. Recognition of emotion in music based on deep convolutional neural network. Multimedia Tools and Applications, 2019.
Sarkar R, Mondal A, Singh A, Saha SK. Automatic Identification of Tala from Tabla Signal. In Transactions on Computational Science XXXI (pp. 20-30), 2018.

Sarkar R, Naskar SK, Saha SK. Raga identification from Hindustani classical music signal using compositional properties. Computing and Visualization in Science. 2017:1-12.
Sarkar R, Bhaduri A, Bhaduri S, et al. Chaos Based Quantitative Risk Assessment of Cardiac Dysfunction. Chem Inform. 2016.
 

Conference Proceedings
R Sarkar, N Biswas, S Chakraborty, “Music Genre Classification Using Frequency Domain Features”, EAIT, 2018.
R Sarkar, S Dutta, A Roy, SK Saha, “Emotion Based Categorization of Music Using Low Level Features and Agglomerative Clustering”, NCVPRIPG, 2017.
Sarkar R, Saha SK. Singer based classification of song dataset using vocal signature inherent in signal. In NCVPRIPG, (pp. 1-4), 2015.
Sarkar R, Saha SK. Music genre classification using EMD and pitch based feature. In ICAPR, (pp. 1-6), 2015.

Book Chapter
R Sarkar, A Singh, A Mondal, SK Saha, “Automatic Extraction and Identification of Bol from Tabla Signal”, ACSS 2017.

Book
S Bhaduri, R Sarkar, A Bhaduri, “Chaos based on quantitative risk assessment of cardiac dysfunction”, LAP LAMBERT Academic Publishing (May 19, 2017), ISBN 978-3330319868

Instructor
Certificate Course on Introduction to Latex. (2024)
Certificate Course on Python for Applied Data Science. (2022)

Nodal Officer
Centralized Admission Portal, Department of Higher Education, WB
Kanyashree Prakalpa, WB