THESES AND PROJECTS SUPERVISION
Post-Doctoral
Research/Research Associate/Senior Research Fellow/ Junior Research Fellow
Supervision:
1. Achinta Mondal, Development of an affordable wearable IoT-GPS enabled
intelligent vital signs monitor for smart health monitoring services (ICMR
Project), February, 2022-present (Junior research
fellow).
2. Nabasmita Phukan, Development of an affordable wearable
IoT-GPS enabled intelligent vital signs monitor for smart health monitoring
services (ICMR Project), March, 2022-present (Senior
research fellow).
3. Aditya Nalwaya, Automated
classification system for human emotions based on physiological signals (CSIR
project), March, 2021-present (Senior research
fellow).
4. 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).
5. Vipin Gupta, Development of new methodologies for
analysis and classification of epileptic seizure EEG signals (CSIR project), June, 2016-December, 2018 (Research associate).
6. 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. Pradeep Kumar Chaudhary, Fourier-Bessel series
expansion for medical image processing, December, 2022
(Submitted).
2. Akanksha Tiwari, Angular disparity
and dimensionality in mental rotation: Characteristics of saccadic eye movement
and electroencephalogram. (with Dr. Sanjram Premjit Khanganba), February, 2022.
3. Vipin Gupta, Fourier-Bessel domain based new methods
for automated classification of EEG signals, January,
2022.
4. Rahul Sharma, Biomedical signal processing using
higher order statistics. (at IIT Kanpur, with Prof. P.
Sircar), September, 2020.
5. Shishir Maheshwari, Advanced image analysis techniques
for automated glaucoma diagnosis using retinal fundus images. (with Dr. V. Kanhangad), July, 2020.
6. Anurag Nishad, Tunable-Q wavelet transform based
filter banks for non-stationary signals analysis and classification, July, 2019.
7. Mohit Kumar, Automated diagnosis methods for heart diseases
using flexible analytic wavelet transform, February,
2019.
8. Rishi Raj Sharma, Non-stationary signal processing
techniques based on eigenvalue decomposition of Hankel matrix, November, 2018.
9. Abhijit Bhattacharyya, Advanced wavelet transforms based EEG signal processing methods for epilepsy
diagnosis, October, 2018.
10. Abhay Upadhyay, New methods based on variational mode
decomposition for speech signal analysis, November,
2017.
11. 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).
12. Rajeev Sharma, Automated identification systems based
on advanced signal processing techniques applied on EEG signals, February, 2017.
13. Shivnarayan Patidar, Tunable-Q wavelet transform based methodologies for analysis
and classification of cardiac signals, May, 2015.
14. Pooja Jain, Noise resilient speech signal analysis
using non-stationary signal processing techniques, April,
2015.
15. Varun Bajaj, Analysis and classification of EEG
signals using novel features based on non-stationary signal decompositions, February, 2014.
In Progress:
1. Vivek Kumar Singh, Improved eigenvalue decomposition
for non-stationary signal analysis.
2. Kritiprasanna Das, Multivariate non-stationary signal analysis
techniques for biomedical applications.
3. Makam Kiran Kumar, Electroencephalogram signals processing.
4. Shailesh Bhalerao, Automated
diagnosis methods for human brain diseases.
5. Aditya Nalwaya, Automated
detection of human emotions using physiological signals.
6. Ashok Mahato, Non-stationary
signal processing.
7. Amrit Panda, Hyperspectral image processing for
biomedical applications. (with Dr. Neeta Devi Sinnappah-Kang, Christian Medical College Ludhiana, India)
8. 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).
9. Yamalakonda Venu Gopal, Estimation
and filtering for dynamic control system. (with Dr. Abhinoy Kumar Singh).
10. Dada Saheb Ramteke, Gear fault diagnosis based on
advanced signal processing techniques. (with Prof.
Anand Parey).
11. Kumari Jyoti, Memristive device based implementation of signal processing methods. (with Dr. Shaibal Mukherjee).
12. Amishi Vijay, Speech enhancement techniques with applications for hearing
impaired. (with Dr. Nitya Tiwari).
13. Achinta Mondal, ECG and PPG signal processing for smart health monitoring.
14. Nabasmita Phukan, Human activity recognition for
healthcare application.
15. Alavala Siva Sankar Reddy, EEG based brain-computer interfacing from speech and
visual imageries.
M. Tech. Thesis Supervision:
Completed:
1. Sunilkumar Ainwad, Motor imagery EEG based
brain-computer interfacing using Fourier-Bessel series expansion, June, 2022.
2. Mohnish Narayan Belani, Local wavelet pattern based glaucoma detection from fundus images, June,
2022.
3. Rahul Krishna, EEG signal classification based on
graph signal processing, June, 2022.
4. Muktagucha Naga Viswanath, Automated sleep apnea detection from ECG signals
based on flexible analytic wavelet transform, June,
2020.
5. Borra Jeevan Teja, Automated method based on TQWT for
the classification of alcoholism using EEG signals, June, 2020.
6. Rishita Sharma, Windowed FBSE-EWT method for non-stationary signal
analysis, June, 2020.
7. Manoj Tripathi, EEG based automated identification of
schizophrenia from FBSE-EWT technique, June, 2020.
8. Richa Singh, Automated classification system for
normal and ALS EMG signals based on iterative filtering, July,
2019.
9. Rajat Katiyar, Determination
of respiratory and heart rates from PPG signals using FBSE-EWT method, July, 2019.
10. Preeti Meena, Reduction of cross terms in Wigner-Ville distribution using
variational mode decomposition, July, 2019.
11. Piyush Varshney, Iterative filtering based
automated detection of epileptic seizure EEG signals, July,
2018. (with Dr. S.K. Vishvakarma).
12. 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).
13. Pratishtha Chandra, Eigenvalue decomposition based
analysis and classification for electromyogram signals, July, 2018.
14. Lokesh Singh, Improved
empirical wavelet transform for non-stationary signal analysis using
Fourier-Bessel series expansion, July, 2018.
15. Avinash Kalyani, Cross-terms free time-frequency representation using empirical
wavelet transform and Wigner-Ville distribution, June,
2018.
16. Ashish Kumar, Automated detection of congestive heart
failure based on the eigenvalue decomposition of HRV signals, June, 2017.
17. Kapil Swarnkar,
Classification of focal and non-focal electroencephalogram signals using
recurrence plot method, June, 2016.
18. Surabhi Sood, Analysis and
development of integrated index for diagnosis of coronary artery disease based
on heart rate signals, June, 2016.
19. Satyartha Sharma, Detection of atrial fibrillation in electrocardiogram signals
using tunable-Q wavelet transform, June, 2016.
20. 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)
21. Omkishor Sahu, Automated classification of magnetic
resonance brain images using bi-dimensional empirical mode decomposition, June, 2015. (with Dr. V. Kanhangad)
22. 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)
23. 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. Shirly Susan Bethapudi,
Graphical signal processing and machine learning for medical applications.
2. Akah Precious C, Multivariate signal processing and machine learning for
medical applications.
3. Richa Kumari, Predictive analysis in financial
modelling (with Dr. Abhinoy Kumar Singh)
B. Tech. Project Supervision:
Completed:
1. Shreya Deep, Two-dimensional tunable-Q wavelet
transform based skin cancer detection, November, 2022.
2. Patnam Harshey, Iterative filter-based technique for
heart sound detection, November, 2022.
3. Sunchu Jahnavi, Synchrosqueezed wavelet transform
based tachycardia ECG signal classification, November,
2022.
4. Sai Pranavee K, Biometric
identification based on EEG signals, November, 2022.
5. Vineet Tripathi, Objective loudness growth prediction
using tone-burst auditory brainstem responses, November,
2022. (with Dr. Nitya Tiwari)
6. Vardhan Paliwal, Age
prediction based on EEG signals, November, 2022. (with Dr. Vasily Vakorin, Simon Fraser University, Canada)
7. Kashish Bansal, Automated muscular diseases identification from EMG signals, November, 2022. (with Dr. Gourinath Banda).
8. Aahan Tyagi, Complex signal analysis using Fourier-Bessel series expansion
based empirical wavelet transform, May, 2022.
9. Sonu Yadav, Automated classification of normal and glaucoma fundus images
using EWT method, May, 2021.
10. Varun Patil, FAWT based automated detection of sleep
apnea using EEG signals, May, 2021.
11. Abhishek Vashishtha,
Singular spectrum analysis for automated detection of epilepsy using EEG
signals, May, 2021.
12. Chethan N., Pitch frequency determination from speech signals based on FBSE-EWT
method, May, 2021.
13. Pankaj Verma, Study on effects of chanting
on EEG signal rhythms, December, 2019.
14. Anmay Kumar, Fundamental frequency determination for speech signals
of Vedic mantras, December, 2019.
15. Himali Singh, Sliding-mode singular spectrum analysis for sleep
apnea detection using ECG signals, December, 2019.
16. Mayur Dahyabhai Chopda, Automated identification of human emotions
based on non-stationary EEG signal processing, December,
2018.
17. Anmol Mansingh and
Banka Nithin, Automated screening of sleep
apnea from ECG signals using digital Taylor-Fourier transform, December, 2018.
18. 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).
19. Swastik Gupta and Konduri
Hari Krishna, Automated classification of focal and non-focal EEG signals using
Fourier-Bessel series expansion, December, 2017. (with Dr. M. Tanveer).
20. Tanvi Priya and Abhishek Kumar Yadav, Computer-aided
detection of non-focal and focal EEG signals using flexible analytic wavelet
transform, December, 2016.
21. Abhinav Tripathi and Dhaivat
Janmejay Joshi, Automated classification of abnormal
EMG signals using tunable-Q wavelet transform, December,
2016.
22. Archit Mathur and Naveen Chaudhary, Detection of glottal closure instants from
voiced speech signals using the Fourier-Bessel series expansion, May, 2015.
23. Shah Meet akshaykumar and Sumit Saurav, Classification of epileptic seizure EEG
signals using reconstructed phase space of intrinsic mode functions, May, 2015.
24. Pakala Avinash and Kora
Shashank, Classification of normal and diabetic RR interval signals using
empirical mode decomposition, May, 2015.
25. Harish Padigala, Singular
value decomposition based method for AM-FM signal
enhancement, May, 2014.
26. Rahul Shivaji Pawar, Design of adaptive doppler filter
bank for ground based radars, May, 2014.
27. Sanjay Kumar Meena, Comparison study of image
enhancement techniques, May, 2014. (with
Dr. A. Vijesh)
28. Vimal Kumar Meena, Image enhancement using various
filtering techniques, May, 2014. (with
Dr. A. Vijesh)
29. Arvind Kumar Meena and Devendra Kumar Meena,
Determination of instantaneous fundamental frequency from speech signals, May, 2014.
30. Sachin Londhe, Kishan Soni, and Abhishek Kumar, Detection of human emotions based
on EEG and ECG signals, May, 2014.
31. Suhani and Manila Chaudhary, Classification of normal,
seizure, and seizure-free EEG signals, May, 2014.
32. Aakash Gupta, Deepak Yadav, and Pritesh Kanani, Vehicle license plate recognition, May, 2013. (with Prof. R. Bodade, MCTE Mhow)
33. Varun Joshi, Applications of fractional calculus in signal
processing, May, 2013. (with
Dr. A. Vijesh)
34. Anamika Patel, Emotion recognition using EEG signals, May, 2013.
35. Ronak Bajaj and Saransh
Chhabra Fourier-Bessel expansion based features for
speaker identification, November, 2009. (at IIIT
Hyderabad with Prof. R.N. Biswas)