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Manoj Kumar Mukul (On Special Leave)

Contact Us

Email - mkm@bitmesra.ac.in
Phone - +91- 8987512413

JOURNAL AND CONFERENCE

Journal Publications

  1. Ojha, M.K., Mukul, M.K. A Novel Approach Based on EMD to improve the Performance of SSVEP Based BCI System. Wireless Personal Communications, Vol.: 118, PP: 2455-2467 (2021) [SCIE]
  2. Ojha, M.K., Mukul, M.K. Detection of Target Frequency from SSVEP Signal Using Empirical Mode Decomposition for SSVEP Based BCI Inference System. Wireless Personal Communications, Vol.: 116, PP: 777-789 (2021) [SCIE]
  3. Ojha M.K, Mukul M.K:  Frequency Recognition in SSVEP- based BCI using EMD CCA Technique, International Journal of Advanced Science and Technology Vol. 29, No. 12s, pp. 1029-1036, (2020) [SCOPUS]
  4. Bhattacharyya, S., Mukul, M.K., Luhach, A.K. et al. Motor imagery-based neuro-feedback system using neuronal excitation of the active Synapses, Ann. Telecommun. (2019) [SCIE]
  5. Ojha M.K, Mukul M.K: et al.: ‘Frequency Detection of Single channel Steady State Visual Evoked Potential using Canonical correlation Analysis’’ International Journal of Recent Technology and Engineering (IJRTE), pps. 136-139, Volume-8 Issue-3S2, October (2019) [ISSN: 2277-3878] [SCOPUS]
  6. Bhattacharyya, S., Mukul, M.K. Reactive frequency band-based movement imagery classification. Journal of Ambient Intelligence and Humanized Computing (2018)[SCIE] 
  7. Bhattacharyya, S., Mukul, M.K., “Time-Frequency Series Based Movement Imagery Classification” International Journal of Biomedical Engineering and Technology, (2018), Vol.27 No.1/2, pp.151 - 165 DOI: 10.1504/IJBET.2018.093103[SCOPUS]
  8. Bhattacharyya, S., Mukul, M.K.” Reactive Frequency Band based Real-Time Motor Imagery Classification” International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol.17, No. ½, pp:136-152, [2018] [SCOPUS]
  9. A. Alam, M. K. Mukul and P. Thakura, "Wavelet Transform-Based EMI Noise Mitigation in Power Converter Topologies," in IEEE Transactions on Electromagnetic Compatibility, vol. 58, no. 5, pp. 1662-1673, (2016). [SCIE]
  10. Bhattacharyya, S., Mukul, M.K “Cepstral Coefficients Based Multivariate Gaussian Probability Density Function as a Feature for Real Time Movement Imagery Classification”, International Journal of Engineering and Technology (IJET), Engg. Journals Publications, pp.: 117-123, Vol 8, No.1, (2016) [Google Scholar]
  11. A. Alam, M. K. Mukul and P. Thakura: "Stability Analysis and Reliability Evaluation of a Z-Source Inverter" International Journal of Power Electronics (IJPELEC), Vol. 7, No. 1/2, (2015) [SCOPUS] 
  12. M.K Mukul,” Combined Effect of Blind Source Separation and Common Spatial Pattern, International Journal of Applied Engineering Research. Research India Publishers, Volume 10, Number 8, pp. 22691-22701, (2015). [  SCOPUS ]
  13. Manoj Kumar Mukul & Fumitoshi Matsuno (2011) Feature Extraction from Subband Brain Signals and Its Classification, SICE Journal of Control, Measurement, and System Integration, 4:5, 332-340, DOI: 10.9746/jcmsi.4.332 [Taylor and Francis Group] [SCOPUS]

 

Conference Papers

(Peer-Reviewed)

  1. Mukesh Kumar Ojha and Manoj Kumar Mukul, “Recognition Of SSVEP-BCIs System Using EMD Based Threshold Detection Method “ICIMMI-2019 during 14-15 December 2019 at Poornima Institute of Engineering & Technology, Jaipur.
  1. S. Anand and M. K. Mukul, "Early Epileptic Seizure Detection," 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2019, pp. 1-7, doi: 10.1109/ICCCNT45670.2019.8944429.
  1.  P. Singh, M. K. Mukul and R. Prasad, "Enhancement of Bone Conducted Speech Signal by Wavelet Transform," 2018 International Conference on Signal Processing and Communications (SPCOM), 2018, pp. 317-321, doi: 10.1109/SPCOM.2018.8724391.
  2.  A. Anand and M. K. Mukul, "Comparison of STFT based direction of arrival estimation techniques for speech signal," 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2016, pp. 200-205, doi: 10.1109/RTEICT.2016.7807812.
  3.  A. Anand and M. K. Mukul, "Comparative analysis of different direction of arrival estimation techniques," 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2016, pp. 343-347, doi: 10.1109/RTEICT.2016.7807839.
  1. S. Mrinalee and M. K. Mukul, "Performance analysis of the MIMO system using the chaos shift keying," 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2016, pp. 1824-1828, doi: 10.1109/RTEICT.2016.7808150.
  2. S. Mrinalee and M. K. Mukul, "Performance analysis of the MIMO system using the chaos shift keying," 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2016, pp. 1824-1828, doi: 10.1109/RTEICT.2016.7808150.
  3.  S. Kumar, A. Dash and M. K. Mukul, "Design and development of low-cost EOG acquisition circuit for HMI application," 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), 2015, pp. 192-197, doi: 10.1109/SPIN.2015.7095398.
  4.  S. C. Machavarapu, M. K. Mukul and D. Kumar, "EEG classification based on variance," 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), 2014, pp. 1-4, doi: 10.1109/ICGCCEE.2014.6922216.
  5.   M. K. Mukul and F. Matsuno, "Movement imagery classification based on subband BSS," 2011 IEEE/SICE International Symposium on System Integration (SII), 2011, pp. 240-245, doi: 10.1109/SII.2011.6147453.
  6.   M. K. Mukul and F. Matsuno, "EEG filtering based on BSS algorithm and its modification for BCI," 2011 8th Asian Control Conference (ASCC), 2011, pp. 880-885.
  7.   M. K. Mukul and F. Matsuno, "Comparative study between subband and standard ICA/BSS method in context with EEG signal for movement imagery classification," 2010 IEEE/SICE International Symposium on System Integration, 2010, pp. 341-346, doi: 10.1109/SII.2010.5708349.
  8.  M. K. Mukul and F. Matsuno, "Rhythmic components of spatio-temporally decorrelated EEG signals based Common Spatial Pattern," 2010 IEEE/SICE International Symposium on System Integration, 2010, pp. 335-340, doi: 10.1109/SII.2010.5708348.
  9.   M. K. Mukul and F. Matsuno, "Three — Channel electro-encephalogram (EEG) signal analysis by independent component analysis and classification by linear discriminant analysis," Proceedings of SICE Annual Conference 2010, 2010, pp. 449-458.
  10.   M. K. Mukul and F. Matsuno, "Relative spectral power (RSP) and temporal RSP as features for movement imagery EEG classification with linear discriminant analysis," Proceedings of SICE Annual Conference 2010, 2010, pp. 439-448.
  11.  Manoj Kumar Mukul, Rajkishore Prasad , Fumitoshi Matsuno,"Removal of Electro-oculogram (EOG) Artifacts from Multi-channel EEG Time- Series data by Independent Component Analysis, "Proc. of Second International conference  on the Intelligent Human computer Interaction , pp.231-238, January 2010.
  12. M. K. Mukul, R. Prasad and F. Matsuno, "Relative spectral power and power spectral density changes in motor rhythm for movement imagination," 2009 ICCAS-SICE, 2009, pp. 1611-1616.
  13. M. K. Mukul and F. Matsuno, "EEG de-noising based on wavelet-transforms and Extraction of Sub-band Components related to movement imagination," 2009 ICCAS-SICE, 2009, pp. 1605-1610.
  14.  Manoj Kumar Mukul, Fumitoshi Matsuno, "Extraction of Rhythmic Information from Non-invasively Recorded EEG Signal Using IEEE Standard 1057 algorithm", Proc. of First International conference on the Intelligent Human computer Interaction, IIIT Allahabad India, pp.125-130, January 2009. DOI: 10.1007/978-81-8489-203-1_10, Print ISBN: 978-81-8489-404-2, 
  15.   M. K. Mukul, R. Prasad, M. M. Choudhary and Fumitoshi Matsuno, "Steering of camera by stepper motor towards active speaker using microphone array," 2008 SICE Annual Conference, 2008, pp. 19-24, doi: 10.1109/SICE.2008.4654615.