Dr. R. K.  Chaurasiya

Department Electronics & Telecom. Engineering
Designation Assistant Professor
Educational Qualification B. Tech - MANIT Bhopal, M.E. - IISc Bangalore, PhD - NIT Raipur
E-Mail rkchaurasiya@nitrr.ac.in
Contact Number 9165971639
Areas of Interest

Pattern Recognition, Machine Learning, Data Mining, Brain-Computer Interfacing, Optimization, Data Structures

  • SCI Journals:

1. Chaurasiya, Rahul Kumar, Narendra D. Londhe, and Subhojit Ghosh. "A Novel Weighted Edit Distance-Based Spelling Correction Approach for Improving The Reliability of Devanagari Script-Based P300 Speller System." IEEE-Access Journal, 4 (2016): 8184-8198. DOI: 10.1109/ACCESS.2016.2614494

2. Chaurasiya, Rahul Kumar, Narendra D. Londhe, and Subhojit Ghosh. "Binary DE-Based Channel Selection and Weighted Ensemble of SVM Classification for Novel Brain–Computer Interface Using Devanagari Script-Based P300 Speller Paradigm." International Journal of Human–Computer Interaction (Taylor and Francis) 32.11 (2016): 861-877. DOI: http://www.tandfonline.com/doi/abs/10.1080/10447318.2016.1203047

3. Chaurasiya, Rahul Kumar, Narendra D. Londhe, and Subhojit Ghosh. "Multi-objective Binary DE algorithm for Optimizing the Performance of Devanagari Script-Based P300 Speller." Biocybernetics and Biomedical Engineering (Elsevier).37.3 (2017): 422-431. DOI: https://doi.org/10.1016/j.bbe.2017.04.006

  • International Conferences:

1. Sneha Agrawal, Rahul Kumar Chaurasiya. “Ensemble of SVM for Accurate Traffic Sign Detection & Recognition”. ACM’s International Conference on Graphics and Signal Processing (ICGSP 2017), NTU, Singapore, 2017.

2. Sneha Agrawal, Rahul Kumar Chaurasiya. “Automatic Traffic Sign Detection and Recognition Using Moment Invariants and Support Vector Machine”. Accepted in International Conference on Recent Innovations in Signal processing and Embedded systems (RISE-2017), MANIT-Bhopal, 2017.

3. Vibhore Bhatnagar, Nikhil Yede, Rahul Singh Keram, and R. K. Chaurasiya. "A modified approach to ensemble of SVM for P300 based brain computer interface." IEEE International Conference on Advances in Human Machine Interaction (HMI)2016. DOI: 10.1109/HMI.2016.7449163

4. Harsh Bhagwani, and Rahul Kumar Chaurasiya. “Step Wise LDA on Averaged ERPs for Faster and Efficient Brain-Computer Interfacing.” IEEE International Conference on Human Computer Interactions (ICHCI'16)2016. DOI: 10.1109/HMI.2016.7449163

5. R. K. Chaurasiya, N. D. Londhe, and S. Ghosh. “An Efficient P300 Speller System for Brain-Computer Interface”. IEEE International Conference on Signal Processing, Computing and Control–2015. DOI: 10.1109/ISPCC.2015.7374998

6. R. K. Chaurasiya, Khushbu Jain et al. “Epileptic Seizure Detection using HHT and SVM”. IEEE International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO) – 2015. DOI: 10.1109/EESCO.2015.7253660

7. R. K. Chaurasiya, N. D. Londhe, and S. Ghosh. “Statistical Wavelet Features, PCA and SVM Based Approach for EEG Signals Classification”. The XIII International Conference on Data Mining and Computational Intelligence, London, United Kingdom, 2015. DOI: http://waset.org/Publication/statistical-wavelet-features-pca-and-svm-based-approach-for-eeg-signals-classification/10000595

8.Y. K. Sen, R. K. Chaurasiya, and Shrish Verma. "A Novel pattern recognition model for real-time voice data input." Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference-. IEEE, 2014. DOI: 10.1109/CONFLUENCE.2014.6949338

9. R. K. Chaurasiya, and Vishakha Chourasia. "High Dynamic Range Imaging for Dynamic Scenes." IEEE Fourth International Conference on Communication Systems and Network Technologies (CSNT), 2014. DOI: 10.1109/CSNT.2014.172

10. R. K. Chaurasiya, and K. R. Ramakrishnan. "High Dynamic Range Imaging." IEEE International Conference on Communication Systems and Network Technologies (CSNT), 2013., DOI: 10.1109/CSNT.2013.27

  • Google-Scholar Link:


Other Info.
  • Sponsored Research Project :
    • Title- Development of efficient Devanagari Script Input Based P300 Speller system for Brain-Computer Interface.
    • Sponsored by- Dept. of Science and Technology (DST), GoI.
    • Duration- 3 years (2016-19)
    • Approximate Cost-27 Lacs
  • Work Experience :
    • 2011-2012: Software Developer in Brocade Communications
    • 2013-Present: Assistant Professor in NIT, Raipur.
  • Educational Qualification:
    • Ph.D. in Electrical Engineering.- NIT, Raipur
    • M.E.  in System Science and Automation- IISc, Bangalore.
    • B. Tech.  in Electronics and Communication Engineering- MANIT, Bhopal.
  • Other Achievements/ Awards:
    • GATE (2009) Qualified with AIR 165 (99.61 percentile). 
    • AIEEE (2005) Qualified with AIR 1899 and State Rank 96.
    • Merit Holder in X and XII Examinations.
    • Received Summer Research Fellowship SRF-2015 (for faculty) by Indian Academy of Science, Bangalore for carrying research-work at IISc, Bangalore (May-July, 2015).
    • Receipant of Best Paper award in ICACSET-2017, organized at Kochi, India in March-2017.
  • Foreign Visits:
    • London, United Kingdom (2015) for attending XIII International Conference on Data Mining and Computational Intelligence.
    • Singapore (2017) for attending ACM's Int. Conf. on Graphics and Signal Processing at NTU, Singapore.
  • Short Term Training Program Organized & co-ordinated:
    • One week STTP on “Digital Image Processing, Pattern Recognition and Applications” at NIT Raipur (07-11 March, 2016).
    • One week STTP on “Advanced Optimization and Applications” at NIT Raipur (03-07 August, 2015)
    • One week STTP on “MACHINE LEARNING” at NIT Raipur (28 Aug-01 Sep, 2017).
    • Second STTP on “MACHINE LEARNING” at NIT Raipur (18-22 Dec 2017).
  • Courses Taught:
    • Pattern Recognition
    • Automatic Control Systems
    • Data Structure
  • Professional Membership:
    • Life member of IETE and IAN (Indian Academy of Neuroscience)