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. Yamalakonda Venu Gopal, Nonlinear state estimation in chaotic systems and
applications, August, 2025 (To be submitted) (with Dr. Appina Balasubramanyam
and Dr. Abhinoy Kumar Singh, IIT Patna)
2. Nabasmita Phukan, Deep learning and signal processing-based methods for detection
of life-threatening cardiac arrhythmias, June, 2025. (Submitted) (with Dr. M.
Sabarimalai Manikandan, IIT Palakkad)
3. Makam Kiran Kumar, Automated electromyogram signal
classification frameworks based on singular spectrum analysis variants, June,
2025. (Submitted)
4. Vivek Kumar Singh, Methods for analysis and
classification of non-stationary signals based on eigenvalue decomposition of
Hankel matrix, January, 2025. (Submitted)
5. Aditya Nalwaya, Automated human emotion identification
frameworks using non-stationary physiological signals, August, 2025.
6. Kumari Jyoti, Memristive
crossbar array-based frameworks for image analysis and classification, May,
2025. (with Prof. Shaibal Mukherjee)
7. Shailesh Vitthalerao
Bhalerao, Sparse spectrum enabled swarm decomposition for brain signal
processing, March, 2025.
8. Kritiprasanna Das, Multivariate iterative filtering
for multichannel EEG signal processing, November, 2024.
9. Amrit Panda, Hyperspectral image processing for
chronic myeloid leukemia diagnosis. (with Dr. Neeta Devi Sinnappah-Kang,
Christian Medical College Ludhiana, India), August, 2024.
10. Dada Saheb Ramteke, Automated methods for gearbox
fault diagnosis using advanced signal processing techniques. (with Prof.
Anand Parey), January, 2024.
11. 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.
12. Pradeep Kumar Chaudhary, Fourier-Bessel series
expansion for medical image processing, May, 2023.
13. Akanksha Tiwari, Angular disparity and dimensionality
in mental rotation: Characteristics of saccadic eye movement and
electroencephalogram, February, 2022. (with Dr. Sanjram
Premjit Khanganba)
14. Vipin Gupta, Fourier-Bessel domain based new methods
for automated classification of EEG signals, January, 2022.
15. Rahul Sharma, Biomedical signal processing using
higher order statistics, September, 2020. (at IIT Kanpur, with Prof. P. Sircar)
16. Shishir Maheshwari, Advanced image analysis techniques
for automated glaucoma diagnosis using retinal fundus images, July, 2020. (with
Dr. V. Kanhangad)
17. Anurag Nishad, Tunable-Q wavelet transform based
filter banks for non-stationary signals analysis and classification, July,
2019.
18. Mohit Kumar, Automated diagnosis methods for heart
diseases using flexible analytic wavelet transform, February, 2019.
19. Rishi Raj Sharma, Non-stationary signal processing
techniques based on eigenvalue decomposition of Hankel matrix, November, 2018.
20. Abhijit Bhattacharyya, Advanced wavelet transforms
based EEG signal processing methods for epilepsy diagnosis, October, 2018.
21. Abhay Upadhyay, New methods based on variational mode
decomposition for speech signal analysis, November, 2017.
22. 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)
23. Rajeev Sharma, Automated identification systems based
on advanced signal processing techniques applied on EEG signals, February,
2017.
24. Shivnarayan Patidar, Tunable-Q wavelet transform based methodologies for analysis
and classification of cardiac signals, May, 2015.
25. Pooja Jain, Noise resilient speech signal analysis
using non-stationary signal processing techniques, April, 2015.
26. 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. Achinta Mondal, Quality-aware ECG-signal processing
for smart health monitoring. (with Dr. M. Sabarimalai Manikandan, IIT Palakkad)
5. Avni Majawadia Jain,
Two-dimensional signal decomposition methods for biomedical image processing.
6. Krishnakant Sharma, New methods based on
non-stationary signal analysis and machine learning for brain-computer
interface.
7. Kamlesh Kumar, Signal processing and machine learning
based frameworks for detection of neurological disorders.
8. Gaurav Shivaji Datkhile, Signal processing and machine
learning for diagnosis of cardiovascular diseases.
9. Mohit Khamele, EEG-based methods for diagnosis of
neurological disorders.
10. 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.
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:
1. 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)
2. Kilaru Jaya Divya, Automated eye movement
classification system based on EOG using multivariate FBSE-EWT technique,
December, 2024.
3. Arvapalli Vagdevi, Automated drowsiness detection from EEG signals, December,
2024.
4. Sajan Swaroop Reddy, Multivariate FBSE-EWT-based SSVEP
detection in mobile environment for brain-computer interface application,
December, 2024.
5. Madhusudhan Reddy, Visual object identification from
physiological signals, December, 2024.
6. Rajaputhra Shivani, Automated eye movement classification system based on EMG of
EOM using synchrosqueezed wavelet transform, December, 2023.
7. Gnana Swaroop Chintada, ECG based biometric
identification system using dynamic mode decomposition and machine learning,
December, 2023.
8. Bhamidipati SV Shashanka, Automated cognitive reading
task classification using swarm decomposition from electroencephalogram
signals, December, 2023.
9. Padma Harshith, Automated approach for human emotion
detection using biomedical signals, December, 2023.
10. Akruti Taori, Automated identification of normal and
abnormal speech signals using synchrosqueezed wavelet transform, December,
2023.
11. Shreya Deep, Two-dimensional tunable-Q wavelet
transform based skin cancer detection, November, 2022.
12. Patnam Harshey, Iterative filter-based technique for heart sound detection,
November, 2022.
13. Sunchu Jahnavi, Synchrosqueezed wavelet transform based tachycardia ECG signal
classification, November, 2022.
14. Sai Pranavee K, Biometric identification based on EEG
signals, November, 2022.
15. Vineet Tripathi, Objective loudness growth prediction
using tone-burst auditory brainstem responses, November, 2022. (with Dr. Nitya
Tiwari)
16. Vardhan Paliwal, Age prediction based on EEG signals,
November, 2022. (with Dr. Vasily Vakorin, Simon Fraser University, Canada)
17. Kashish Bansal, Automated muscular diseases
identification from EMG signals, November, 2022. (with Dr. Gourinath Banda)
18. Aahan Tyagi, Complex signal analysis using
Fourier-Bessel series expansion based empirical wavelet transform, May, 2022.
19. Sonu Yadav, Automated classification of normal and
glaucoma fundus images using EWT method, May, 2021.
20. Varun Patil, FAWT based automated detection of sleep
apnea using EEG signals, May, 2021.
21. Abhishek Vashishtha, Singular spectrum analysis for
automated detection of epilepsy using EEG signals, May, 2021.
22. Chethan N., Pitch frequency determination from speech
signals based on FBSE-EWT method, May, 2021.
23. Pankaj Verma, Study on effects of chanting on EEG
signal rhythms, December, 2019.
24. Anmay Kumar, Fundamental frequency determination for
speech signals of Vedic mantras, December, 2019.
25. Himali Singh, Sliding-mode singular spectrum analysis
for sleep apnea detection using ECG signals, December, 2019.
26. Mayur Dahyabhai Chopda,
Automated identification of human emotions based on non-stationary EEG signal
processing, December, 2018.
27. Anmol Mansingh, Automated screening of sleep apnea
from ECG signals using digital Taylor-Fourier transform, December, 2018.
28. Banka Nithin, Automated screening of sleep apnea from
ECG signals using digital Taylor-Fourier transform, December, 2018.
29. 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)
30. Swastik Gupta, Automated classification of focal and
non-focal EEG signals using Fourier-Bessel series expansion, December, 2017.
(with Dr. M. Tanveer)
31. Konduri Hari Krishna, Automated classification of
focal and non-focal EEG signals using Fourier-Bessel series expansion,
December, 2017. (with Dr. M. Tanveer)
32. Tanvi Priya, Computer-aided detection of non-focal and
focal EEG signals using flexible analytic wavelet transform, December, 2016.
33. Abhishek Kumar Yadav, Computer-aided detection of
non-focal and focal EEG signals using flexible analytic wavelet transform,
December, 2016.
34. Abhinav Tripathi, Automated classification of abnormal
EMG signals using tunable-Q wavelet transform, December, 2016.
35. Dhaivat Janmejay Joshi, Automated classification of
abnormal EMG signals using tunable-Q wavelet transform, December, 2016.
36. Archit Mathur, Detection of glottal closure instants
from voiced speech signals using the Fourier-Bessel series expansion, May,
2015.
37. Naveen Chaudhary, Detection of glottal closure
instants from voiced speech signals using the Fourier-Bessel series expansion,
May, 2015.
38. Meet Shah, Classification of epileptic seizure EEG
signals using reconstructed phase space of intrinsic mode functions, May, 2015.
39. Sumit Saurav, Classification of epileptic seizure EEG
signals using reconstructed phase space of intrinsic mode functions, May, 2015.
40. Pakala Avinash, Classification of normal and diabetic
RR interval signals using empirical mode decomposition, May, 2015.
41. Kora Shashank, Classification of normal and diabetic
RR interval signals using empirical mode decomposition, May, 2015.
42. Harish Padigala, Singular
value decomposition based method for AM-FM signal enhancement, May, 2014.
43. Rahul Shivaji Pawar, Design of adaptive doppler filter
bank for ground based radars, May, 2014.
44. Sanjay Kumar Meena, Comparison study of image
enhancement techniques, May, 2014. (with Prof. A. Vijesh)
45. Vimal Kumar Meena, Image enhancement using various
filtering techniques, May, 2014. (with Prof. A. Vijesh)
46. Arvind Kumar Meena, Determination of instantaneous
fundamental frequency from speech signals, May, 2014.
47. Devendra Kumar Meena, Determination of instantaneous
fundamental frequency from speech signals, May, 2014.
48. Sachin Londhe, Detection of human emotions based on
EEG and ECG signals, May, 2014.
49. Kishan Soni, Detection of human emotions based on EEG
and ECG signals, May, 2014.
50. Abhishek Kumar, Detection of human emotions based on
EEG and ECG signals, May, 2014.
51. Suhani, Classification of normal, seizure, and
seizure-free EEG signals, May, 2014.
52. Manila Chaudhary, Classification of normal, seizure,
and seizure-free EEG signals, May, 2014.
53. Aakash Gupta, Vehicle license plate recognition, May,
2013. (with Prof. R. Bodade, MCTE Mhow)
54. Deepak Yadav, Vehicle license plate recognition, May,
2013. (with Prof. R. Bodade, MCTE Mhow)
55. Pritesh Kanani, Vehicle license plate recognition,
May, 2013. (with Prof. R. Bodade, MCTE Mhow)
56. Varun Joshi, Applications of fractional calculus in
signal processing, May, 2013. (with Prof. A. Vijesh)
57. Anamika Patel, Emotion recognition using EEG signals,
May, 2013.
58. Saransh Chhabra, Fourier-Bessel expansion based
features for speaker identification, November, 2009. (at IIIT Hyderabad with
Prof. R.N. Biswas)
59. Ronak Bajaj, Fourier-Bessel expansion based features
for speaker identification, November, 2009. (at IIIT Hyderabad with Prof. R.N.
Biswas)
In Progress:
1. Ayush Kumar Awasthi, Human emotion identification.
2. M. Mahith Sai Reddy, Human walk identification.
3. Aman Sanjay Poddar, Human activity recognition.