Dr. Ram Bilas Pachori

Associate Professor

Discipline of Electrical Engineering

Indian Institute of Technology Indore, Simrol 453552, Indore, Madhya Pradesh, India

Email: pachori@iiti.ac.in

Telephone: 0091-732-4306-593

Office: 1A-203, Academic Pod, Nearby Library

International Conference on Machine Intelligence and Signal Processing (MISP 2017), December 22-24, 2017 at IIT Indore

Research Interests

         Biomedical Signal Processing

         Non-stationary Signal Processing

         Speech Signal Processing

         Brain-Computer Interface

         Computer-aided Medical Diagnosis

         Signal Processing Applications

Courses Taught at IIT Indore

         EE701: Time-Frequency Analysis

         EE604: Soft Computing Techniques

         EE641: Advanced Signal Processing

         EE740: Speech Signal Processing

         EE104: Basic Electronics and Electrical Engineering

         EE154: Basic Electronics and Electrical Engineering Lab

         EE202: Signals and Systems

         EE102: Introduction to Electrical and Electronic Circuits

         EE304: Digital Signal Processing

         EE307: Communication Systems

         IC211: Experimental Engineering Lab

         EE356: Communications Lab

         EE642: Wireless Communication

         EE 644: Image Processing

Education

         Ph.D. in Electrical Engineering from Indian Institute of Technology Kanpur, Kanpur, India, 2008.

         M. Tech. in Electrical Engineering from Indian Institute of Technology Kanpur, Kanpur, India, 2003.

         B.E. in Electronics and Communication Engineering with Honors from Rajiv Gandhi Technological University, Bhopal, India, 2001.

Work Experience

         Working as Associate Professor at Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India from September 2013 to present.

         Worked as Visiting Scholar at Intelligent Systems Research Centre, School of Computing and Intelligent Systems, University of Ulster, Magee Campus, Northern Ireland, UK from 01 December, 2014 to 31 December, 2014.

         Worked as Assistant Professor at Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India from December 2009 to September 2013.

         Worked as Assistant Professor at Communication Research Center, International Institute of Information Technology, Hyderabad, India from April 2008 to November 2009.

         Worked as Post-Doctoral Fellow in the Charles Delaunay Institute, FRE CNRS 2848, System Modelling and Dependability Laboratory, University of Technology of Troyes, Troyes, France from April 2007 to March 2008.

Sponsored and Consultancy Projects

         Analysis and classification of EEG signals based on nonlinear and non-stationary signal models, Department of Science and Technology (DST), Duration: Three Years (2012-2015). (Awarded Excellent grade by DST Expert Committee in the review of the project) (Principal Investigator)

         Development of new methodologies for analysis and classification of epileptic seizure EEG signals, Council of Scientific and Industrial Research (CSIR), Duration: Three years (2015-2018). (Principal Investigator)

         Analysis of coronary artery disease by signal processing through MATLAB, Professional Group of Conferences (PGC), Visakhapatnam, India, Duration: 20 months (Starting from March 2017). (Consultant)

         Development of a portable acoustic sensor based canine pregnancy detection system and biomarker-based canine pregnancy test kit, Department of Biotechnology (DBT), Duration: Two Years (2017-2019). (Co-Principal Investigator)

Publications [Google Scholar] [Research Gate] [DBLP]

Books and Book Chapters

       R. Sharma and R.B. Pachori, Automated classification of focal and non-focal EEG signals based on bivariate empirical mode decomposition, In: M.H. Kolekar and V. Kumar (Eds.) Biomedical Signal and Image Processing in Patient Care, IGI Global, 2017, Book Chapter.

       R.B. Pachori, R. Sharma, and S. Patidar, Classification of normal and epileptic seizure EEG signals based on empirical mode decomposition, In: Q. Zhu and A.T. Azar (Eds.) Complex System Modelling and Control through Intelligent Soft Computations, Studies in Fuzziness and Soft Computing, Springer International Publishing, Switzerland, 2015, Book Chapter.

       S. Patidar and R.B. Pachori, Classification of heart disorders based on tunable-Q wavelet transform of cardiac sound signals, In: A.T. Azar and S. Vaidyanathan (Eds.) Chaos Modelling and Control Systems Design, Studies in Computational Intelligence, Springer International Publishing, Switzerland, 2015, Book Chapter.

       V. Bajaj and R.B. Pachori, Detection of human emotions using features based on the multiwavelet transform of EEG signals, In: A.E. Hassanien and A.T. Azar (Eds.) Brain-Computer Interfaces: Current Trends and Applications, Intelligent Systems Reference Library, Springer International Publishing, Switzerland, 2015, Book Chapter.

       R.B. Pachori and P. Sircar, Non-stationary signal analysis: Methods based on Fourier-Bessel representation, LAP LAMBERT Academic Publishing, Saarbrucken, Germany, ISBN: 978-3-8433-8807-8, 2010, Book.

Selected Journal Papers

         A. Upadhyay, M. Sharma, and R.B. Pachori, Determination of instantaneous fundamental frequency of speech signals using variational mode decomposition, Computers and Electrical Engineering, In press, 2017.

         M. Sharma, R.B. Pachori, and U.R. Acharya, A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension, Pattern Recognition Letters, In press, 2017.

         V. Gupta, T. Priya, A.K. Yadav, R.B. Pachori, and U.R. Acharya, Automated detection of focal EEG signals using features extracted from flexible analytic wavelet transform, Pattern Recognition Letters, In press, 2017.

         R. Sharma, R.B. Pachori, and A. Upadhyay, Automatic sleep stages classification based on iterative filtering of electroencephalogram signals, Neural Computing and Applications, In press, 2017.

         A. Bhattacharyya and R.B. Pachori, A multivariate approach for patient specific EEG seizure detection using empirical wavelet transform, IEEE Transactions on Biomedical Engineering, In press, 2017. (Listed in the popular articles of IEEE Transactions on Biomedical Engineering Journal).

         A. Bhattacharyya, M. Sharma, R.B. Pachori, P. Sircar, and U.R. Acharya, A novel approach for automated detection of focal EEG signals using empirical wavelet transform, Neural Computing and Applications, In press, 2017.

         A.K. Tiwari, R.B. Pachori, V. Kanhangad, and B.K. Panigrahi,  Automated diagnosis of epilepsy using key-point based local binary pattern of EEG signals,  IEEE Journal of Biomedical and Health Informatics, In press, 2017.

         R. Sharma, M. Kumar, R.B. Pachori, and U.R. Acharya, Decision support system for focal EEG signals using tunable-Q wavelet transform, Journal of Computational Science, vol. 20, pp. 52-60, May 2017.

         M. Sharma, P.V. Achuth, R.B. Pachori, and V.M. Gadre, A parameterization technique to design joint time-frequency optimized discrete-time biorthogonal wavelet bases, Signal Processing, vol. 135, pp. 107-120, June 2017.

         S. Maheshwari, R.B. Pachori, and U.R. Acharya, Automated diagnosis of glaucoma using empirical wavelet transform and correntropy features extracted from fundus images, IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 03, pp. 803-813, May 2017.

         M. Sharma, A. Dhere, R.B. Pachori, and V.M. Gadre, Optimal duration-bandwidth localized antisymmetric biorthgonal wavelet filters, Signal Processing, vol. 134, pp. 87-99, May 2017.

         A. Bhattacharyya, R.B. Pachori, A. Upadhyay, and U.R. Acharya, Tunable-Q wavelet transform based multiscale entropy measure for automated classification of epileptic EEG signals, Applied Sciences, vol. 7 (4), 385, pp. 01-18, April 2017.

         A.K. Tiwari, V. Kanhangad, and R.B. Pachori, Histogram refinement for texture descriptor based image retrieval, Signal Processing: Image Communication, vol. 53, pp. 73-85, April 2017.

         A. Upadhyay and R.B. Pachori, Speech enhancement based on mEMD-VMD method, Electronics Letters, vol. 53, issue 07, pp. 502-504, March 2017.

         A. Bhattacharyya, R.B. Pachori, and U.R. Acharya, Tunable-Q wavelet transform based multivariate sub-band fuzzy entropy with application to focal EEG signal analysis, Entropy, vol. 19 (3), 99, pp. 01-14, March 2017.

         D. Bhati, M. Sharma, R.B. Pachori, and V.M. Gadre, Time-frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classification,  Digital Signal Processing, vol. 62, pp. 259-273, March 2017.

         M. Kumar, R.B. Pachori, and U.R. Acharya, Use of accumulated entropies for automated detection of congestive heart failure in flexible analytic wavelet transform framework based on short-term HRV signals, Entropy, vol. 19 (3), 92, pp. 01-21, February 2017.

         M. Sharma, A. Dhere, R.B. Pachori, and U.R. Acharya, An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks,  Knowledge-Based Systems, vol. 118, pp. 217-227, February 2017.

         S. Patidar, R.B. Pachori, A. Upadhyay, and U.R. Acharya, An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism,  Applied Soft Computing, vol. 50, pp. 71-78, January 2017.

         M. Kumar, R.B. Pachori, and U.R. Acharya, Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals, Biomedical Signal Processing and Control, vol. 31, pp. 301-308, January 2017.

         D. Bhati, M. Sharma, R.B. Pachori, S.S. Nair, and V.M. Gadre, Design of time-frequency optimal three-band wavelet filter banks with unit Sobolev regularity using frequency domain sampling, Circuits, Systems & Signal Processing, vol. 35, issue 12, pp. 4501-4531, December 2016.

         M. Kumar, R.B. Pachori, and U.R. Acharya, An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals, Expert Systems with Applications, vol. 63, pp. 165-172, November 2016.

         M. Sharma, D. Bhati, S. Pillai, R.B. Pachori, and V.M. Gadre, Design of time-frequency localized filter banks: Transforming non-convex problem into convex via semidefinite relaxation technique, Circuits, Systems & Signal Processing, vol. 35, issue 10, pp. 3716-3733, October 2016.

         M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori, S.V.G. Ravindranath, S. Kher, and S.M. Oak, Empirical mode decomposition based detection of bend induced error and its correction in a Raman fiber distributed temperature sensor, IEEE Sensors Journal, vol. 16, no. 5, pp. 1243-1252, March 2016.

         R.B. Pachori and A. Nishad, Cross-terms reduction in Wigner-Ville distribution using tunable-Q wavelet transform, Signal Processing, vol. 120, pp. 288-304, March 2016.

         R.B. Pachori, M. Kumar, S. Kora, P. Avinash, and U.R. Acharya, An improved online paradigm for screening of diabetic patients using RR interval signals, Journal of Mechanics in Medicine and Biology, vol. 16, no. 1, 1640003, 23 pages, February 2016.

         S. Sood, M. Kumar, R.B. Pachori, and U.R. Acharya, Application of empirical mode decomposition-based features for analysis of normal and CAD heart rate signals, Journal of Mechanics in Medicine and Biology, vol. 16, no. 1, 1640002, 20 pages, February 2016.

         O. Sahu, V. Anand, V. Kanhangad, and R.B. Pachori, Classification of magnetic resonance brain images using bi-dimensional empirical mode decomposition and autoregressive model, Biomedical Engineering Letters, vol. 5, issue 4, pp. 311-320, December 2015.

         P. Jain and R.B. Pachori, An iterative approach for decomposition of multi-component non-stationary signals based on eigenvalue decomposition of the Hankel matrix, Journal of the Franklin Institute, vol. 352, issue 10, pp. 4017--4044, October 2015.

         A.S. Hood, R.B. Pachori, V.K. Reddy, and P. Sircar, Parametric representation of speech employing multi-component AFM signal model, International Journal of Speech Technology, vol. 18, issue 03, pp. 287-303, September 2015.

         R. Sharma, R.B. Pachori, and U.R. Acharya, An integrated index for the identification of focal electroencephalogram signals using discrete wavelet transform and entropy measures, Entropy, vol. 17, issue 8, pp. 5218-5240, July 2015.

         A. Upadhyay and R.B. Pachori, Instantaneous voiced/non-voiced detection in speech signals based on variational mode decomposition, Journal of the Franklin Institute, vol. 352, issue 7, pp. 2679-2707, July 2015. (Best Research Paper Award 2016, IIT Indore).

         S. Patidar, R.B. Pachori, and U.R. Acharya, Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals, Knowledge-Based Systems, vol. 82, pp. 1-10, July 2015.

         R.B. Pachori, P. Avinash, K. Shashank, R. Sharma, and U.R. Acharya, Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals, Expert Systems with Applications, vol. 42, issue 9, pp. 4567-4581, June 2015.

         S. Patidar, R.B. Pachori, and N. Garg, Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals, Expert Systems with Applications, vol. 42, issue 7, pp. 3315-3326, May 2015.

         M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori, S.V.G. Ravindranath, S.M. Kher, and S.M. Oak, Empirical mode decomposition based dynamic error correction in SS covered 62.5/125 m optical fiber based distributed temperature sensor, Optics & Laser Technology, vol. 67, pp. 107-118, April 2015.

         R. Sharma, R.B. Pachori, and U.R. Acharya, Application of entropy measures on intrinsic mode functions for the automated identification of focal electroencephalogram signals, Entropy, vol. 17, issue 2, pp. 669-691, February 2015. (Selected as a featured paper of the Entropy journal in 2015).

         R. Sharma and R.B. Pachori, Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions, Expert Systems with Applications, vol. 42, issue 3, pp. 1106-1117, February 2015.

         T.S. Kumar, V. Kanhangad, and R.B. Pachori, Classification of seizure and seizure-free EEG signals using local binary patterns, Biomedical Signal Processing and Control, vol. 15, pp. 33-40, January 2015.

         M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori, S.V.G. Ravindranath, S.M. Kher, and S.M. Oak, Raman optical fiber distributed temperature sensor using wavelet transform based simplified signal processing of Raman backscattered signals, Optics & Laser Technology, vol. 65, pp. 14-24, January 2015.

         S. Patidar and R.B. Pachori, Classification of cardiac sound signals using constrained tunable-Q wavelet transform, Expert Systems with Applications, vol. 41, issue 16, pp. 7161-7170, November 2014.

         P. Jain and R.B. Pachori, Event-based method for instantaneous fundamental frequency estimation from voiced speech based on eigenvalue decomposition of Hankel matrix, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 22. issue 10, pp. 1467-1482, October 2014. (Best Research Paper Award 2015, IIT Indore).

         R.B. Pachori and S. Patidar, Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions, Computer Methods and Programs in Biomedicine, vol. 113, issue 2, pp. 494-502, February 2014. (Included in the Best Papers of Year 2014 from Computer Methods and Programs in Biomedicine Journal).

         V. Joshi, R.B. Pachori, and A. Vijesh, Classification of ictal and seizure-free EEG signals using fractional linear prediction, Biomedical Signal Processing and Control, vol. 9, pp. 1-5, January 2014. (Listed in the most cited papers of Biomedical Signal Processing and Control Journal).

         V. Bajaj and R.B. Pachori, Automatic classification of sleep stages based on the time-frequency image of EEG signals, Computer Methods and Programs in Biomedicine, vol. 112, issue 3, pp. 320-328, December 2013.

         S. Patidar and R.B. Pachori, Segmentation of cardiac sound signals by removing murmurs using constrained tunable-Q wavelet transform, Biomedical Signal Processing and Control, vol. 8, issue 6, pp. 559-567, November 2013.

         V. Bajaj and R.B. Pachori, Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals, Biomedical Engineering Letters, vol. 3, issue 1, pp. 17-21, March 2013.

         P. Jain and R.B. Pachori, Marginal energy density over the low frequency range as a feature for voiced/non-voiced detection in noisy speech signals, Journal of the Franklin Institute, vol. 350, issue 4, pp. 678-716, May 2013.

         V. Bajaj and R.B. Pachori, Classification of seizure and nonseizure EEG signals using empirical mode decomposition, IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 6, pp. 1135-1142, November 2012. (Listed in the popular articles of IEEE Transactions on Information Technology in Biomedicine Journal).

         A. Parey and R.B. Pachori, Variable cosine windowing of intrinsic mode functions: Application to gear fault diagnosis, Measurement, vol. 45, issue 3, pp. 415-426, April 2012.

         R.B. Pachori and V. Bajaj, Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition, Computer Methods and Programs in Biomedicine, vol. 104, issue 3, pp. 373-381, December 2011. (Listed in the most cited papers of Computer Methods and Programs in Biomedicine Journal).

         R.B. Pachori and P. Sircar, Analysis of multicomponent AM-FM signals using FB-DESA method, Digital Signal Processing, vol. 20, pp. 42-62, January 2010.

         R.B. Pachori and P. Sircar, EEG signal analysis using FB expansion and second-order linear TVAR process, Signal Processing, vol. 88, no. 2, pp. 415-420, February 2008.

         R.B. Pachori and P. Sircar, A new technique to reduce cross terms in the Wigner distribution, Digital Signal Processing, vol. 17, no. 2, pp. 466-474, March 2007.

Selected Conference Papers

         A.K. Tiwari, V. Kanhangad, and R.B. Pachori, Retinal vessel segmentation using second-order image moments , 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 11-15, 2017 Jeju Island, Korea.

         P. Gaur, J.S. Bornot, G. Prasad, H. Wang, and R.B. Pachori, Decoding of multi-direction wrist movements using multivariate empirical mode decomposition, MEG UK 2017, March 22-24, 2017, Oxford, UK.

         G. Kaushik, P. Gaur, G. Prasad, H. Wang, and R.B. Pachori, An MEG based multi-direction wrist movements analysis using empirical mode decomposition and multivariate empirical mode decomposition, MEG UK 2017, March 22-24, 2017, Oxford, UK.

         R.R. Sharma and R.B. Pachori, A new method for non-stationary signal analysis using eigenvalue decomposition of the Hankel matrix and Hilbert transform, International Conference on Signal Processing and Integrated Networks, February 11-12, 2017, Noida, India.

         D. Joshi, A. Tripathi, R. Sharma, and R.B. Pachori, Computer-aided detection of abnormal EMG signals based on tunable-Q wavelet transform, International Conference on Signal Processing and Integrated Networks, February 11-12, 2017, Noida, India.

         S. Patidar and R.B. Pachori, Tunable-Q wavelet transform based optimal compression of cardiac sound signals, IEEE Tencon Conference, November 22-25, 2016, Singapore.

         P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, A multivariate empirical mode decomposition based filtering for subject independent BCI, 27th Irish Signals and Systems Conference, June 21-22, 2016, Derry, UK.

         P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, Enhanced motor imagery classification in EEG-BCI using multivariate EMD based filtering and CSP features, International Brain-Computer Interface (BCI) Meeting, May 30th-June 3rd, 2016, California, USA.

         P. Gaur, J.S. Bornot, G. Prasad, H. Wang, and R.B. Pachori, An MEG based BCI for classification of multi-direction wrist movements using empirical mode decomposition, MEG UK 2016, March 21-23, 2016, York, UK.

         A. Upadhyay and R.B. Pachori, A new method for determination of instantaneous pitch frequency from speech signals, IEEE Signal Processing and Signal Processing Education Workshop, 09-12 August, 2015, Salt Lake City, Utah, USA.

         P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface, The International Joint Conference on Neural Networks, 12-17 July, 2015, Killarney, Ireland.

         M. Shah, S. Saurav, R. Sharma, and R.B Pachori, Analysis of epileptic seizure EEG signals using reconstructed phase space of intrinsic mode functions, 9th IEEE International Conference on Industrial and Information Systems, 15-17 December, 2014, Gwalior, India.

         S. Patidar, R.B. Pachori, and N. Garg, Detection of septal defects from cardiac sound signals using tunable-Q wavelet transform, IEEE 19th International Conference on Digital Signal Processing, 20-23 August, 2014, Hong Kong.

         T.S. Kumar, V. Kanhangad, and R.B. Pachori, Classification of seizure and seizure-free EEG signals using multi-level local patterns, IEEE 19th International Conference on Digital Signal Processing, 20-23 August, 2014, Hong Kong.

         R. Sharma, R.B. Pachori, and S. Gautam, Empirical mode decomposition based classification of focal and non-focal EEG signals, IEEE International Conference on Medical Biometrics, 30 May-01 June, 2014, Shenzhen, China.

         V. Bajaj and R.B. Pachori, Human emotion classification from EEG signals using multiwavelet transform, IEEE International Conference on Medical Biometrics, 30 May-01 June, 2014, Shenzhen, China.

         P. Jain and R.B. Pachori, GCI identification from voiced speech using the eigen value decomposition of Hankel matrix, IEEE 8th International Symposium on Image and Signal Processing and Analysis, pp. 371-376, 04-06 September, 2013, Trieste, Italy.

         S. Patidar and R.B. Pachori, A continuous wavelet transform based method for detecting heart valve disorders using phonocardiograph signals, International Conference on Convergence and Hybrid Information Technology, CCIS 310, pp. 513-520, 23-25 August, 2012, Daejeon, South Korea.

         V. Bajaj and R.B. Pachori, Separation of rhythms of EEG signals based on Hilbert-Huang transformation with application to seizure detection, International Conference on Convergence and Hybrid Information Technology, LNCS 7425, pp. 493-500, 23-25 August, 2012, Daejeon, South Korea. (Best Paper Award).

         V. Bajaj and R.B. Pachori, EEG signal classification using empirical mode decomposition and support vector machine, International Conference on Soft Computing for Problem Solving, AISC 131, pp. 623-635, 20-22 December, 2011, Roorkee, India.

         A. Parey and R.B. Pachori, Modified empirical mode decomposition process for improved fault diagnosis, 8th IFToMM International Conference on Rotor Dynamics, pp. 261-265, 12-15 September, 2010, Seoul, Korea.

         R.B. Pachori and S.V. Gangashetty, AM-FM model based approach for detection of glottal closure instants, IEEE International Conference on Information Science, Signal Processing and their Applications, pp. 266-269, 10-13 May, 2010, Kuala Lumpur, Malaysia.

         R.B. Pachori and S.V. Gangashetty, Detection of voice onset time using FB expansion and AM-FM model, IEEE International Conference on Information Science, Signal Processing and their Applications, 149-152, 10-13 May, 2010, Kuala Lumpur, Malaysia.

         P. Sircar, R.B. Pachori, and R. Kumar, Analysis of rhythms of EEG signals using orthogonal polynomial approximation, ACM International Conference on Convergence and Hybrid Information Technology, pp. 176-180, 27-29 August, 2009, Daejeon, South Korea.

         R.B. Pachori, D. Hewson, H. Snoussi, and J. Duchene, Postural time-series analysis using empirical mode decomposition and second-order difference plots, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 537-540, 19-24 April, 2009, Taipei, Taiwan.

         R.B. Pachori and P. Sircar, Modeling of multicomponent AM-FM signals using FB expansion and linear TVAR process, 16th European Signal Processing Conference, 25-29 August, 2008, Lausanne, Switzerland.

         R.B. Pachori and P. Sircar, Speech analysis using Fourier-Bessel expansion and discrete energy separation algorithm, IEEE Digital Signal Processing Workshop and Workshop on Signal Processing Education, pp. 423-428, 24-27 September, 2006, Wyoming, USA.

         R.B. Pachori and P. Sircar, Analysis of multicomponent nonstationary signals using Fourier-Bessel transform and Wigner distribution, 14th European Signal Processing Conference, 04-08 September, 2006, Florence, Italy.

         R.B. Pachori and P. Sircar, A novel technique to reduce cross terms in the squared magnitude of the wavelet transform and the short time Fourier transform, IEEE International Workshop on Intelligent Signal Processing, pp. 217-222, 01-03 September, 2005, Faro, Portugal.

Postdoctoral Researcher:

         Manish Sharma (Ph.D., IIT Bombay), Automated classification of biomedical signals based on time-frequency localized wavelet filter banks, December 2015 to December 2016.

Ph.D. Thesis Supervision

Completed:

         Varun Bajaj, Analysis and classification of EEG signals using novel features based on non-stationary signal decompositions, February 2014.

         Pooja Jain, Noise resilient speech signal analysis using non-stationary signal processing techniques, April, 2015.

         Shivnarayan Patidar, Tunable-Q wavelet transform based methodologies for analysis and classification of cardiac signals, May, 2015.

         Rajeev Sharma, Automated identification systems based on advanced signal processing techniques applied on EEG signals, February 2017.

         Dinesh Bhati, Design of time-frequency localized three-band wavelet filter banks and applications in EEG signal analysis, February 2017. (jointly with Prof. V.M. Gadre at IIT Bombay).

         Abhay Upadhyay, New methods based on variational mode decomposition for speech signal analysis, Thesis submitted, June 2017.

In Progress:

         Abhijit Bhattacharyya, Advanced wavelet transform based approaches for analysis and classification of electroencephalogram signals.

         Mohit Kumar, Flexible analytic wavelet transform based methodologies for analysis and classification of heart signals.

         Anurag Nishad, Improved non-stationary signal analysis techniques based on tunable-Q wavelet transform.

         Rishi Raj Sharma, Non-stationary signal analysis and processing.

         Vipin Gupta, New methodologies for automated classification of brain signals.

         Amrit Panda, New methodologies for analysis and classification of biomedical images.

         Shishir Maheshwari, Biomedical image processing. (jointly with Dr. V. Kanhangad).

         Akanksha Tiwari, Cognitive Rehabilitation based on micro spatial parameters of video games. (jointly with Dr. Sanjram Premjit Khanganba).

         Mamta Dalal, Machine learning algorithms for biomedical applications. (jointly with Dr. M. Tanveer).

         Dada Saheb Ramteke, Gear fault diagnosis using advanced signal processing techniques. (jointly with Dr. A. Parey).

M.Tech. Thesis Supervision

Completed:

         Ashish Patwari, A proportional fair scheduling algorithm for cooperative transmission in OFDMA networks, July 2009. (jointly with Dr. R. Govindarajulu, Dr. S. Kalyanasundaram, and Mr. N. Balamurli).

         V. Hari Rohit, Performance analysis of resource allocation types in LTE, July 2009. (jointly with Dr. R. Govindarajulu, Dr. S. Kalyanasundaram, and Mr. V. Kamble).

         Omkishor Sahu, Automated classification of magnetic resonance brain images using bi-dimensional empirical mode decomposition, June, 2015. (jointly with Dr. V. Kanhangad).

         Aswani Kumar Tiwari, Retinal blood vessel image segmentation and classification of epileptic seizure EEG signals for computer-aided diagnosis, June, 2016. (jointly with Dr. V. Kanhangad).

         Satyartha Sharma, Detection of atrial fibrillation in electrocardiogram signals using tunable-Q wavelet transform, June, 2016.

         Surabhi Sood, Analysis and development of integrated index for diagnosis of coronary artery disease based on heart rate signals, June, 2016.

         Kapil Swarnkar, Classification of focal and non-focal electroencephalogram signals using recurrence plot method, June, 2016.

In Progress:

         Ashish Kumar, Automated detection of congestive heart failure based on the eigenvalue decomposition of HRV signals.

         Avinash Kalyani, Cross-terms free Wigner-Ville distribution for non-stationary signal analysis.

         Lokesh Singh Bhilala, Multivariate approach for automated classification of electroencephalogram signals.

         Pratishtha Chandra, Automated identification system for classification of electromyogram signals.

         Puneet Jain, Signal processing algorithms and their implementation (jointly with Dr. S.K. Vishvakarma).

         Piyush Varshney, Signal processing algorithms and their implementation (jointly with Dr. S.K. Vishvakarma).

B.Tech. Project Supervision

Completed:

         Ronak Bajaj and Saransh Chhabra, Fourier-Bessel expansion based features for speaker identification, November 2009. (jointly with Dr. R.N. Biswas).

         Anamika Patel, Emotion recognition using EEG signals, May 2013.

         Varun Joshi, Applications of fractional calculus in signal processing, May 2013. (jointly with Dr. A. Vijesh).

         Aakash Gupta, Deepak Yadav, and Pritesh Kanani, Vehicle license plate recognition, May 2013. (jointly with Dr. R. Bodade).

         Suhani and Manila Chaudhary, Classification of normal, seizure, and seizure-free EEG signals, May 2014.

         Sachin Londhe, Kishan Soni, and Abhishek Kumar, Detection of human emotions based on EEG and ECG signals, May 2014.

         Arvind Kumar Meena and Devendra Kumar Meena, Determination of instantaneous fundamental frequency from speech signals, May 2014.

         Vimal Kumar Meena, Image enhancement using various filtering techniques, May 2014. (jointly with Dr. A. Vijesh).

         Sanjay Kumar Meena, Comparison study of image enhancement techniques, May 2014. (jointly with Dr. A. Vijesh).

         Rahul Shivaji Pawar, Design of adaptive doppler filter bank for ground based radars, May 2014.

         Harish Padigala, Singular value decomposition based method for AM-FM signal enhancement, May 2014.

         Pakala Avinash and Kora Shashank, Classification of normal and diabetic RR interval signals using empirical mode decomposition, May 2015.

         Shah Meet akshaykumar and Sumit Saurav, Classification of epileptic seizure EEG signals using reconstructed phase space of intrinsic mode functions, May 2015.

         Archit Mathur and Naveen Chaudhary, Detection of glottal closure instants from voiced speech signals using the Fourier-Bessel series expansion, May 2015.

         Abhinav Tripathi and Dhaivat Janmejay Joshi, Automated classification of abnormal EMG signals using tunable-Q wavelet transform, December 2016.

         Tanvi Priya and Abhishek Kumar Yadav, Computer-aided detection of non-focal and focal EEG signals using flexible analytic wavelet transform, December 2016.

In Progress:

         Konduri Hari Krishna, Applications of machine learning algorithms for automated classification of focal EEG signals. (jointly with Dr. M. Tanveer).

         Swastik Gupta, Applications of machine learning algorithms for automated classification of epileptic seizure EEG signals. (jointly with Dr. M. Tanveer).

         Addepalli Hari Narayana, Modular IOT platform for consumer markets. (jointly with Mr. Pravin Kumar Angolkar, Analog Devices India Pvt. Ltd., Bangalore).

Administrative Experience

         Nodal Officer, Rashtriya Avishkar Abhiyan, Scheme of MHRD from June 2015 to present.

         Convener, Discipline Under-Graduate Committees, Electrical Engineering, IIT Indore, from August 2011 to present.

         Convener, Scholarship-cum-Eligibility Committee, IIT Indore, from August 2011 to present.

         Course Coordinator of M. Tech. in Communications and Signal Processing, IIT Indore, from April 2013 to June 2015.

         Chairman of GATE, IIT Indore, from November 2011 to July 2013.

         Chairman of Rajbhasha Hindi Karyanbayan Samiti, IIT Indore, from April 2010 to December 2011.

Professional Activities

         Senior Member of the Institute of Electrical and Electronic Engineers (IEEE), Member of the Institution of Electronics and Telecommunication Engineers (IETE).

         Reviewer in National and International Journals: IEEE Transactions on Signal Processing, IEEE Transactions on Information Technology in Biomedicine, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Biomedical Engineering, IEEE Sensors Journal, IEEE Transactions on Geoscience and Remote Sensing, WSEAS Journals, IETE Technical Review Journal, Journal of Circuits, Systems and Signal Processing, Signal Processing, Mechanical Systems and Signal Processing, Digital Signal Processing, EURASIP Journal on Advances in Signal Processing, Journal of Computational Science, Journal of Visual Communication and Image Representation, Neural Computing and Applications, European Transactions on Telecommunications, Applied Mathematics and Computation, Measurement, International Journal of Adaptive Control and Signal Processing, Circuits and Systems, Journal of Signal and Information Processing, Computers in Biology and Medicine, Biomedical Engineering Letters, Optics & Laser Technology, The Scientific World Journal, Expert Systems with Applications, Journal of Medical Imaging and Health Informatics, IEEE Transactions on Neural Systems & Rehabilitation Engineering, Medical & Biological Eng & Computing, IEEE Transactions on Neural Networks and Learning Systems.

         Editorial board member of Journal of Intelligent Systems (2012 to 2015)

         Editor in the editorial board of IETE Technical Review journal (May 2017 to present)