THESES AND PROJECTS SUPERVISION
Post-Doctoral
Research/Research Associate/Senior Research Fellow/Junior Research
Fellow/Project Research Scientist-II Supervision:
1. Mohit Khamele, Design and development of internet of
medical things and AI-based mental health alert system with smartphone
application using ear-electroencephalogram waves and Photoplethysmography vital
physiological measurements (ICMR project), April, 2025 to present (Project
Research Scientist-II (Non-medical)).
2. Vivek Kumar Singh, Automated classification system for
human emotions based on physiological signals (CSIR project), August, 2024 to
September, 2024 (Senior Research Fellow).
3. Aditya Nalwaya, Development of an affordable wearable
IoT-GPS enabled intelligent vital signs monitor for smart health monitoring
services (ICMR Project), April, 2024 to June, 2024 (Research Associate-I).
4. Achinta Mondal, Development of an affordable wearable
IoT-GPS enabled intelligent vital signs monitor for smart health monitoring
services (ICMR Project), February, 2022-June, 2024 (Junior research fellow).
5. Nabasmita Phukan, Development of an affordable wearable IoT-GPS enabled
intelligent vital signs monitor for smart health monitoring services (ICMR
Project), March, 2022-February, 2024 (Senior research fellow).
6. Aditya Nalwaya, Automated classification system for
human emotions based on physiological signals (CSIR project), March,
2021-March, 2024 (Senior research fellow).
7. Himanshu Singh, Development of an affordable wearable
IoT-GPS enabled intelligent vital signs monitor for smart health monitoring
services (ICMR Project), June, 2023-December, 2023 (Research associate-I).
8. Shailesh Mohine, Development of an affordable wearable
IoT-GPS enabled intelligent vital signs monitor for smart health monitoring
services (ICMR Project), February, 2022-October, 2022 (Research associate-I).
9. Vipin Gupta, Development of new methodologies for
analysis and classification of epileptic seizure EEG signals (CSIR project),
June, 2016-December, 2018 (Research associate).
10. Manish Sharma, Automated classification of biomedical
signals based on time-frequency localized wavelet filter banks, December
2015-December 2016 (Post-doctoral fellow).
Ph. D. Thesis
Supervision:
Completed:
1. Achinta Mondal, Electrocardiogram noise detection and
classification methods for quality-aware cardiac health monitoring, January
2026 (Submitted). (with Dr. M. Sabarimalai Manikandan, IIT Palakkad)
2. Yamalakonda Venu Gopal, Nonlinear state estimation in chaotic systems and
applications, September 2025 (Submitted) (with Dr. Appina Balasubramanyam and
Dr. Abhinoy Kumar Singh, IIT Patna)
3. Makam Kiran Kumar, Automated electromyogram signal
classification frameworks based on singular spectrum analysis variants, March
2026.
4. Nabasmita Phukan, Deep learning and signal processing-based methods for detection
of life-threatening cardiac arrhythmias, November 2025. (with Dr. M.
Sabarimalai Manikandan, IIT Palakkad)
5. Vivek Kumar Singh, Methods for analysis and
classification of non-stationary signals based on eigenvalue decomposition of
Hankel matrix, October 2025.
6. Aditya Nalwaya, Automated human emotion identification
frameworks using non-stationary physiological signals, August 2025.
7. Kumari Jyoti, Memristive
crossbar array-based frameworks for image analysis and classification, May
2025. (with Prof. Shaibal Mukherjee)
8. Shailesh Vitthalerao
Bhalerao, Sparse spectrum enabled swarm decomposition for brain signal
processing, March 2025.
9. Kritiprasanna Das, Multivariate iterative filtering
for multichannel EEG signal processing, November 2024.
10. Amrit Panda, Hyperspectral image processing for
chronic myeloid leukemia diagnosis. (with Dr. Neeta Devi Sinnappah-Kang,
Christian Medical College Ludhiana, India), August 2024.
11. Dada Saheb Ramteke, Automated methods for gearbox
fault diagnosis using advanced signal processing techniques. (with Prof.
Anand Parey), January 2024.
12. Arti Anuragi, Improving automated analysis and leaning
of EEG signals for brain disorders detection using Fourier-Bessel series
expansion based empirical wavelet transform. (at NIT Raipur, with Dr. Dilip
Singh Sisodia), December 2023.
13. Pradeep Kumar Chaudhary, Fourier-Bessel series
expansion for medical image processing, May 2023.
14. Akanksha Tiwari, Angular disparity and dimensionality
in mental rotation: Characteristics of saccadic eye movement and
electroencephalogram, February 2022. (with Dr. Sanjram
Premjit Khanganba)
15. Vipin Gupta, Fourier-Bessel domain based new methods
for automated classification of EEG signals, January 2022.
16. Rahul Sharma, Biomedical signal processing using
higher order statistics, September 2020. (at IIT Kanpur, with Prof. P. Sircar)
17. Shishir Maheshwari, Advanced image analysis techniques
for automated glaucoma diagnosis using retinal fundus images, July 2020. (with
Dr. V. Kanhangad)
18. Anurag Nishad, Tunable-Q wavelet transform based
filter banks for non-stationary signals analysis and classification, July 2019.
19. Mohit Kumar, Automated diagnosis methods for heart
diseases using flexible analytic wavelet transform, February 2019.
20. Rishi Raj Sharma, Non-stationary signal processing
techniques based on eigenvalue decomposition of Hankel matrix, November 2018.
21. Abhijit Bhattacharyya, Advanced wavelet transforms
based EEG signal processing methods for epilepsy diagnosis, October 2018.
22. Abhay Upadhyay, New methods based on variational mode
decomposition for speech signal analysis, November 2017.
23. Dinesh Bhati, Design of time-frequency localized
three-band wavelet filter banks and applications in EEG signal analysis,
February 2017. (at IIT Bombay, with Prof. V.M. Gadre)
24. Rajeev Sharma, Automated identification systems based
on advanced signal processing techniques applied on EEG signals, February 2017.
25. Shivnarayan Patidar, Tunable-Q wavelet transform based methodologies for analysis
and classification of cardiac signals, May 2015.
26. Pooja Jain, Noise resilient speech signal analysis
using non-stationary signal processing techniques, April 2015.
27. Varun Bajaj, Analysis and classification of EEG
signals using novel features based on non-stationary signal decompositions,
February 2014.
In Progress:
1. Ashok Mahato, Improved empirical Fourier decomposition
methods for EEG signal processing.
2. Alavala Siva Sankar Reddy, Dynamic mode decomposition-based methods for
non-stationary signal processing.
3. Amishi Vijay, Fourier-Bessel series expansion-based
flexible analytic wavelet transform for speech signal analysis and processing
for medical applications. (with Dr. Appina Balasubramanyam and Dr. Nitya
Tiwari, IIT Bhubaneswar)
4. Avni Majawadia Jain,
Two-dimensional signal decomposition methods for biomedical image processing.
5. Krishnakant Sharma, New methods based on
non-stationary signal analysis and machine learning for brain-computer
interface.
6. Kamlesh Kumar, Signal processing and machine learning
based frameworks for detection of neurological disorders.
7. Gaurav Shivaji Datkhile, Signal processing and machine
learning for diagnosis of cardiovascular diseases.
8. Mohit Khamele, EEG-based methods for diagnosis of
neurological disorders.
9. Bunty Jat, Artificial intelligence in signal
processing framework for analysis and classification of biomedical signals.
M.S. (by
Research) Thesis Supervision:
Completed:
1. Vaibhav Mishra, Power quality assessment based on
eigenvalue decomposition and singular value decomposition of Hankel matrix,
July 2023.
In Progress:
1. Sobhan Bhowmick, Time-frequency analysis based
automated human activity recognition.
M. Tech. Thesis Supervision:
Completed:
1. Krishna Kumar Mishra, Human activity recognition (HAR)
using FMCW radar, May 2025.
2. Shirly Susan Bethapudi, Fourier-Bessel domain-based
band-limited entropies for automated detection of human emotions, June 2023.
3. Akah Precious C, Imagined speech EEG-based BCI using
dynamic mode decomposition, June 2023.
4. Richa Kumari, Stock market price prediction based on
cubature Kalman filter, June 2023.
5. Sunilkumar Ainwad, Motor imagery EEG based brain-computer interfacing using
Fourier-Bessel series expansion, June 2022.
6. Mohnish Narayan Belani, Local wavelet pattern based
glaucoma detection from fundus images, June 2022.
7. Rahul Krishna, EEG signal classification based on
graph signal processing, June 2022.
8. Muktagucha Naga Viswanath, Automated sleep apnea detection from ECG signals
based on flexible analytic wavelet transform, June 2020.
9. Borra Jeevan Teja, Automated method based on TQWT for
the classification of alcoholism using EEG signals, June 2020.
10. Rishita Sharma, Windowed FBSE-EWT method for
non-stationary signal analysis, June 2020.
11. Manoj Tripathi, EEG based automated identification of
schizophrenia from FBSE-EWT technique, June 2020.
12. Richa Singh, Automated classification system for
normal and ALS EMG signals based on iterative filtering, July 2019.
13. Rajat Katiyar, Determination of respiratory and
heart rates from PPG signals using FBSE-EWT method, July 2019.
14. Preeti Meena, Reduction of cross terms in
Wigner-Ville distribution using variational mode decomposition, July 2019.
15. Piyush Varshney, Iterative filtering based
automated detection of epileptic seizure EEG signals, July
2018. (with Dr. S.K. Vishvakarma).
16. Puneet Jain, New approaches for speech
enhancement based on variational mode decomposition and iterative filtering
with applications of subspace approach, July 2018. (with Dr. S.K.
Vishvakarma)
17. Pratishtha Chandra, Eigenvalue decomposition based
analysis and classification for electromyogram signals, July 2018.
18. Lokesh Singh, Improved empirical wavelet transform for
non-stationary signal analysis using Fourier-Bessel series expansion, July
2018.
19. Avinash Kalyani, Cross-terms free time-frequency
representation using empirical wavelet transform and Wigner-Ville distribution,
June 2018.
20. Ashish Kumar, Automated detection of congestive heart
failure based on the eigenvalue decomposition of HRV signals, June 2017.
21. Kapil Swarnkar, Classification of focal and non-focal
electroencephalogram signals using recurrence plot method, June 2016.
22. Surabhi Sood, Analysis and development of integrated
index for diagnosis of coronary artery disease based on heart rate signals,
June 2016.
23. Satyartha Sharma, Detection of atrial fibrillation in electrocardiogram signals
using tunable-Q wavelet transform, June 2016.
24. Aswani Kumar Tiwari, Retinal blood vessel image
segmentation and classification of epileptic seizure EEG signals for
computer-aided diagnosis, June 2016. (with Dr. V. Kanhangad)
25. Omkishor Sahu, Automated classification of magnetic resonance brain images using
bi-dimensional empirical mode decomposition, June 2015. (with Dr. V. Kanhangad)
26. V. Hari Rohit, Performance analysis of resource
allocation types in LTE, July 2009. (at IIIT Hyderabad with Dr. R.
Govindarajulu, Dr. S. Kalyanasundaram, and Mr. V. Kamble)
27. Ashish Patwari, A proportional fair scheduling
algorithm for cooperative transmission in OFDMA networks, July 2009. (at IIIT
Hyderabad with Dr. R. Govindarajulu, Dr. S. Kalyanasundaram, and Mr. N. Balamurli)
In Progress:
1. Bhavesh Mishra, Imagined-speech EEG detection system
for brain-computer interface.
2. Prajjwal Sanskar, Human emotion identification system
based on physiological signals and face images.
B. Tech. Project Supervision:
Completed:
2. M. Mahith Sai Reddy, Human walk identification using
sliding mode singular spectrum analysis and quantum convolutional neural
network, December 2025.
3. Aman Sanjay Poddar, Hybrid framework for automated
human activity recognition system, December 2025.
4. Khushi Chandnani, Automated emotion recognition using
phase-time plot based on FBSE-EWT modes, May 2025. (with Dr. Kanchan Cecil,
Jabalpur Engineering College, Jabalpur under Inbound Program)
5. Kilaru Jaya Divya, Automated eye movement
classification system based on EOG using multivariate FBSE-EWT technique,
December 2024.
6. Arvapalli Vagdevi, Automated drowsiness detection from EEG signals, December
2024.
7. Sajan Swaroop Reddy, Multivariate FBSE-EWT-based SSVEP
detection in mobile environment for brain-computer interface application,
December 2024.
8. Madhusudhan Reddy, Visual object identification from
physiological signals, December 2024.
9. Rajaputhra Shivani, Automated eye movement classification system based on EMG of
EOM using synchrosqueezed wavelet transform, December 2023.
10. Gnana Swaroop Chintada, ECG based biometric
identification system using dynamic mode decomposition and machine learning,
December 2023.
11. Bhamidipati SV Shashanka, Automated cognitive reading task
classification using swarm decomposition from electroencephalogram signals,
December 2023.
12. Padma Harshith, Automated approach for human emotion
detection using biomedical signals, December 2023.
13. Akruti Taori, Automated identification of normal and
abnormal speech signals using synchrosqueezed wavelet transform, December 2023.
14. Shreya Deep, Two-dimensional tunable-Q wavelet
transform based skin cancer detection, November 2022.
15. Patnam Harshey, Iterative filter-based technique for heart sound detection,
November 2022.
16. Sunchu Jahnavi, Synchrosqueezed wavelet transform based tachycardia ECG signal
classification, November 2022.
17. Sai Pranavee K, Biometric identification based on EEG
signals, November 2022.
18. Vineet Tripathi, Objective loudness growth prediction
using tone-burst auditory brainstem responses, November 2022. (with Dr. Nitya
Tiwari)
19. Vardhan Paliwal, Age prediction based on EEG signals,
November 2022. (with Dr. Vasily Vakorin, Simon Fraser University, Canada)
20. Kashish Bansal, Automated muscular diseases
identification from EMG signals, November 2022. (with Dr. Gourinath Banda)
21. Aahan Tyagi, Complex signal analysis using
Fourier-Bessel series expansion based empirical wavelet transform, May 2022.
22. Sonu Yadav, Automated classification of normal and
glaucoma fundus images using EWT method, May 2021.
23. Varun Patil, FAWT based automated detection of sleep
apnea using EEG signals, May 2021.
24. Abhishek Vashishtha, Singular spectrum analysis for
automated detection of epilepsy using EEG signals, May 2021.
25. Chethan N., Pitch frequency determination from speech
signals based on FBSE-EWT method, May 2021.
26. Pankaj Verma, Study on effects of chanting on EEG
signal rhythms, December 2019.
27. Anmay Kumar, Fundamental frequency determination for
speech signals of Vedic mantras, December 2019.
28. Himali Singh, Sliding-mode singular spectrum analysis
for sleep apnea detection using ECG signals, December 2019.
29. Mayur Dahyabhai Chopda,
Automated identification of human emotions based on non-stationary EEG signal
processing, December 2018.
30. Anmol Mansingh, Automated screening of sleep apnea
from ECG signals using digital Taylor-Fourier transform, December 2018.
31. Banka Nithin, Automated screening of sleep apnea from
ECG signals using digital Taylor-Fourier transform, December 2018.
32. Addepalli Hari Narayana, Infrared image processing for
IoT module using NIR spectroscopy, December 2017. (with Mr. Pravin Kumar
Angolkar, Analog Devices India Pvt. Ltd., Bangalore)
33. Swastik Gupta, Automated classification of focal and
non-focal EEG signals using Fourier-Bessel series expansion, December 2017.
(with Dr. M. Tanveer)
34. Konduri Hari Krishna, Automated classification of
focal and non-focal EEG signals using Fourier-Bessel series expansion, December
2017. (with Dr. M. Tanveer)
35. Tanvi Priya, Computer-aided detection of non-focal and
focal EEG signals using flexible analytic wavelet transform, December 2016.
36. Abhishek Kumar Yadav, Computer-aided detection of
non-focal and focal EEG signals using flexible analytic wavelet transform,
December 2016.
37. Abhinav Tripathi, Automated classification of abnormal
EMG signals using tunable-Q wavelet transform, December 2016.
38. Dhaivat Janmejay Joshi, Automated classification of
abnormal EMG signals using tunable-Q wavelet transform, December 2016.
39. Archit Mathur, Detection of glottal closure instants
from voiced speech signals using the Fourier-Bessel series expansion, May 2015.
40. Naveen Chaudhary, Detection of glottal closure
instants from voiced speech signals using the Fourier-Bessel series expansion,
May 2015.
41. Meet Shah, Classification of epileptic seizure EEG
signals using reconstructed phase space of intrinsic mode functions, May 2015.
42. Sumit Saurav, Classification of epileptic seizure EEG
signals using reconstructed phase space of intrinsic mode functions, May 2015.
43. Pakala Avinash, Classification of normal and diabetic
RR interval signals using empirical mode decomposition, May 2015.
44. Kora Shashank, Classification of normal and diabetic
RR interval signals using empirical mode decomposition, May 2015.
45. Harish Padigala, Singular
value decomposition based method for AM-FM signal enhancement, May 2014.
46. Rahul Shivaji Pawar, Design of adaptive doppler filter
bank for ground based radars, May 2014.
47. Sanjay Kumar Meena, Comparison study of image
enhancement techniques, May 2014. (with Prof. A. Vijesh)
48. Vimal Kumar Meena, Image enhancement using various
filtering techniques, May 2014. (with Prof. A. Vijesh)
49. Arvind Kumar Meena, Determination of instantaneous
fundamental frequency from speech signals, May 2014.
50. Devendra Kumar Meena, Determination of instantaneous
fundamental frequency from speech signals, May 2014.
51. Sachin Londhe, Detection of human emotions based on
EEG and ECG signals, May 2014.
52. Kishan Soni, Detection of human emotions based on EEG
and ECG signals, May 2014.
53. Abhishek Kumar, Detection of human emotions based on
EEG and ECG signals, May 2014.
54. Suhani, Classification of normal, seizure, and
seizure-free EEG signals, May 2014.
55. Manila Chaudhary, Classification of normal, seizure,
and seizure-free EEG signals, May 2014.
56. Aakash Gupta, Vehicle license plate recognition, May
2013. (with Prof. R. Bodade, MCTE Mhow)
57. Deepak Yadav, Vehicle license plate recognition, May
2013. (with Prof. R. Bodade, MCTE Mhow)
58. Pritesh Kanani, Vehicle license plate recognition, May
2013. (with Prof. R. Bodade, MCTE Mhow)
59. Varun Joshi, Applications of fractional calculus in
signal processing, May 2013. (with Prof. A. Vijesh)
60. Anamika Patel, Emotion recognition using EEG signals,
May 2013.
61. Saransh Chhabra, Fourier-Bessel expansion based
features for speaker identification, November 2009. (at IIIT Hyderabad with
Prof. R.N. Biswas)
62. Ronak Bajaj, Fourier-Bessel expansion based features
for speaker identification, November 2009. (at IIIT Hyderabad with Prof. R.N.
Biswas)