• B.Tech in Electronics and Communication Engineering from WBUT in the year of 2005

• M.Tech in Mechatronics from IIEST, Shibpur in the year of 2009

• PhD in Engineering from NIT Silchar in the year of 2020

Signal Processing, Natural Language Processing, Speech recognition, Spoken language identification, Speech translation, Artificial Intelligence and Machine learning, Deep learning, Speaker recognition

• "A pre-classification-based language identification for Northeast Indian languages using prosody and spectral features" , C China Bhanja, MA Laskar, RH Laskar, Circuits, Systems, and Signal Processing 38 (5), 2266-2296.

• "Deep residual networks for pre-classification based Indian language identification", CC Bhanja, D Bisharad, RH Laskar, Journal of Intelligent & Fuzzy Systems 36 (3), 2207-2218.

• "Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points", CC Bhanja, MA Laskar, RH Laskar, S Bandyopadhyay, Journal of King Saud University-Computer and Information Sciences (2019)

• "Modelling multi-level prosody and spectral features using deep neural network for an automatic tonal and non-tonal pre-classification-based Indian language identification system", C China Bhanja, MA Laskar, RH Laskar, Language Resources and Evaluation 55 (3), 689-730.

• "Cascade convolutional neural network‐long short‐term memory recurrent neural networks for automatic tonal and nontonal preclassification‐based Indian language identification",Chuya China Bhanja, Mohammad A. Laskar, Rabul H. Laskar, Expert System, (2020)

• "Speaker-Phrase-Specific Adaptation of PLDA Model for Improved Performance in Text-Dependent Speaker Verification", MA Laskar, CC Bhanja, RH Laskar, Circuits, Systems, and Signal Processing 40 (10), 5127-5151

• "Formants and Prosody-Based Automatic Tonal and Non-tonal Language Classification of North East Indian Languages", CC Bhanja, MA Laskar, RH Laskar, Smart Computing Paradigms: New Progresses and Challenges, 169-179

• "Spectral feature based automatic tonal and non-tonal language classification" ,Alice Celin Alphonsa, Chuya China Bhanja, Azharuddin Laskar, Rabul Hussain Laskar ,2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Pages1271-1276, IEEE

• "Automatic Classification of Indian Languages into Tonal and Non-tonal Categories Using Cascade Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) Recurrent Neural Network", CC Bhanja, D Bisharad, RH Laskar, Published in International Conference on Signal Processing and Communications (SPCOM),IEEE

• "A comparative study of discriminative approaches for classifying languages into tonal and non-tonal categories at syllabic level", B Choudhury, CC Bhanja, TS Choudhury, RH Laskar, A Pramanik, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), IEEE

• Working as a project Engineer in Electromech India Limited, Durgapur, from July 2005 to June 2007.

• Working as a Lecturer in Electrical Engineering Department of Dr. B.C. Roy Engg. College, Durgapur from 8^th August 2009 to 30^th June 2010.

• Working as an Assistant Professor in Electrical Engineering Department of Dr. B.C. Roy Engg. College, Durgapur from 1^st July 2010 to 6^th February 2013.

• Research experience as a PhD Scholar in the field of Signal Processing, Data Science, Machine Learning and Deep Learning in the department of Electronics & Communication Engineering, National Institute of Technology Silchar from February 2014.

• IEEE student membership in signal processing society.

• Attended IEEE authorship workshop 2015, NIT Silchar, 15th February 2015.

• Attended 4th International Symposium on Intelligent System s Technologies and Applications held on 19-22th September, 2018, PES Institute of Technology Bangalore South campus, Bangalore.

• Attended International Conference on Signal Processing and Communications, IISC Bangalore, 16-19 July 2018.

• Planning Value added course for the development of the students.

• Arranged workshop in Brainware University on recent trends in Mechatronics and Robotics.

• Recipient of MHRD monthly scholarship during PhD programme from February 2014 to February 2019.

• Obtained Best Paper Award for the paper titled, “Deep Residual Networks for Pre-Classification Based Indian Language Identification” in 4^th International Symposium on Intelligent System s Technologies and Applications held on 19-22th September, 2018, PES Institute of Technology Bangalore South campus, Bangalore.