THESES AND PROJECTS SUPERVISION
Post-Doctoral
Research/Research Associate/Senior Research Fellow/ Junior Research Fellow
Supervision:
1. Vivek Kumar Singh, Automated classification system for
human emotions based on physiological signals (CSIR project), August, 2024 to
September, 2024 (Senior Research Fellow).
2. 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).
3. 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).
4. 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).
5. Aditya Nalwaya, Automated classification system for
human emotions based on physiological signals (CSIR project), March,
2021-March, 2024 (Senior research fellow).
6. 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).
7. 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).
8. Vipin Gupta, Development of new methodologies for
analysis and classification of epileptic seizure EEG signals (CSIR project),
June, 2016-December, 2018 (Research associate).
9. 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. Kumari Jyoti, Memristive crossbar array-based
frameworks for image processing in biomedical imaging via machine learning,
October, 2024. (with Prof. Shaibal Mukherjee) (To be submitted).
2. Shailesh Vitthalerao Bhalerao, Sparse spectrum enabled
swarm decomposition for brain signal processing, September, 2024 (To be
submitted).
3. Kritiprasanna Das, Multivariate iterative filtering
for multichannel EEG signal processing, July, 2024 (Submitted).
4. Amrit Panda, Hyperspectral image processing for chronic
myeloid leukemia diagnosis. (with Dr. Neeta Devi Sinnappah-Kang, Christian
Medical College Ludhiana, India), August, 2024.
5. Dada Saheb Ramteke, Automated methods for gearbox
fault diagnosis using advanced signal processing techniques. (with Prof.
Anand Parey), January, 2024.
6. 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.
7. Pradeep Kumar Chaudhary, Fourier-Bessel series
expansion for medical image processing, May, 2023.
8. Akanksha Tiwari, Angular disparity and dimensionality
in mental rotation: Characteristics of saccadic eye movement and
electroencephalogram, February, 2022. (with Dr. Sanjram Premjit Khanganba)
9. Vipin Gupta, Fourier-Bessel domain based new methods
for automated classification of EEG signals, January, 2022.
10. Rahul Sharma, Biomedical signal processing using
higher order statistics, September, 2020. (at IIT Kanpur, with Prof. P. Sircar)
11. Shishir Maheshwari, Advanced image analysis techniques
for automated glaucoma diagnosis using retinal fundus images, July, 2020. (with
Dr. V. Kanhangad)
12. Anurag Nishad, Tunable-Q wavelet transform based
filter banks for non-stationary signals analysis and classification, July,
2019.
13. Mohit Kumar, Automated diagnosis methods for heart
diseases using flexible analytic wavelet transform, February, 2019.
14. Rishi Raj Sharma, Non-stationary signal processing
techniques based on eigenvalue decomposition of Hankel matrix, November, 2018.
15. Abhijit Bhattacharyya, Advanced wavelet transforms
based EEG signal processing methods for epilepsy diagnosis, October, 2018.
16. Abhay Upadhyay, New methods based on variational mode
decomposition for speech signal analysis, November, 2017.
17. 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)
18. Rajeev Sharma, Automated identification systems based
on advanced signal processing techniques applied on EEG signals, February,
2017.
19. Shivnarayan Patidar, Tunable-Q wavelet transform based
methodologies for analysis and classification of cardiac signals, May, 2015.
20. Pooja Jain, Noise resilient speech signal analysis
using non-stationary signal processing techniques, April, 2015.
21. 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 processing.
2. Makam Kiran Kumar, New methods for electromyogram
signal processing.
3. Aditya Nalwaya, Nonlinear chirp mode decomposition-based
methodologies for emotion recognition using physiological signals.
4. Ashok Mahato, Improved Fourier decomposition methods
for brain-computer interfacing.
5. Alavala Siva Sankar Reddy, EEG based brain-computer
interfacing from multi-modalities.
6. Yamalakonda Venu Gopal, Estimation and filtering for
dynamic control system. (with Dr. Appina Balasubramanyam and Dr. Abhinoy Kumar
Singh, IIT Patna)
7. Amishi Vijay, Automated classification of speech
signals for medical applications. (with Dr. Appina Balasubramanyam and Dr.
Nitya Tiwari, IIT Bhubaneswar)
8. Achinta Mondal, Quality-aware bio-signal processing
for smart health monitoring. (with Dr. M. Sabarimalai Manikandan, IIT Palakkad)
9. Nabasmita Phukan, Intelligent systems for vital sign
monitoring for smart healthcare. (with Dr. M. Sabarimalai Manikandan, IIT
Palakkad)
10. Avni Majawadia Jain, Biomedical signal analysis and
classification.
11. Krishnakant Sharma, New methods for
Brain-computer interface.
12. Kamlesh Kumar, Machine learning and applications
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. Shirly Susan Bethapudi, Fourier-Bessel domain-based
band-limited entropies for automated detection of human emotions, June, 2023.
2. Akah Precious C, Imagined speech EEG-based BCI using
dynamic mode decomposition, June, 2023.
3. Richa Kumari, Stock market price prediction based on
cubature Kalman filter, June, 2023.
4. Sunilkumar Ainwad, Motor imagery EEG based
brain-computer interfacing using Fourier-Bessel series expansion, June, 2022.
5. Mohnish Narayan Belani, Local wavelet pattern based
glaucoma detection from fundus images, June, 2022.
6. Rahul Krishna, EEG signal classification based on
graph signal processing, June, 2022.
7. Muktagucha Naga Viswanath, Automated sleep apnea
detection from ECG signals based on flexible analytic wavelet transform, June,
2020.
8. Borra Jeevan Teja, Automated method based on TQWT for
the classification of alcoholism using EEG signals, June, 2020.
9. Rishita Sharma, Windowed FBSE-EWT method for
non-stationary signal analysis, June, 2020.
10. Manoj Tripathi, EEG based automated identification of
schizophrenia from FBSE-EWT technique, June, 2020.
11. Richa Singh, Automated classification system for
normal and ALS EMG signals based on iterative filtering, July, 2019.
12. Rajat Katiyar, Determination of respiratory and
heart rates from PPG signals using FBSE-EWT method, July, 2019.
13. Preeti Meena, Reduction of cross terms in
Wigner-Ville distribution using variational mode decomposition, July, 2019.
14. Piyush Varshney, Iterative filtering based
automated detection of epileptic seizure EEG signals, July,
2018. (with Dr. S.K. Vishvakarma).
15. 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)
16. Pratishtha Chandra, Eigenvalue decomposition based
analysis and classification for electromyogram signals, July, 2018.
17. Lokesh Singh, Improved empirical wavelet transform for
non-stationary signal analysis using Fourier-Bessel series expansion, July,
2018.
18. Avinash Kalyani, Cross-terms free time-frequency
representation using empirical wavelet transform and Wigner-Ville distribution,
June, 2018.
19. Ashish Kumar, Automated detection of congestive heart
failure based on the eigenvalue decomposition of HRV signals, June, 2017.
20. Kapil Swarnkar, Classification of focal and non-focal
electroencephalogram signals using recurrence plot method, June, 2016.
21. Surabhi Sood, Analysis and development of integrated
index for diagnosis of coronary artery disease based on heart rate signals,
June, 2016.
22. Satyartha Sharma, Detection of atrial fibrillation in
electrocardiogram signals using tunable-Q wavelet transform, June, 2016.
23. 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)
24. Omkishor Sahu, Automated classification of magnetic
resonance brain images using bi-dimensional empirical mode decomposition, June,
2015. (with Dr. V. Kanhangad)
25. 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)
26. 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. Krishna Kumar Mishra, Human activity recognition from
FMCW radar signals.
B. Tech. Project Supervision:
Completed:
1. Rajaputhra Shivani, Automated eye movement
classification system based on EMG of EOM using synchrosqueezed wavelet
transform, December, 2023.
2. Gnana Swaroop Chintada, ECG based biometric
identification system using dynamic mode decomposition and machine learning,
December, 2023.
3. Bhamidipati SV Shashanka, Automated cognitive reading
task classification using swarm decomposition from electroencephalogram
signals, December, 2023.
4. Padma Harshith, Automated approach for human emotion
detection using biomedical signals, December, 2023.
5. Akruti Taori, Automated identification of normal and
abnormal speech signals using synchrosqueezed wavelet transform, December,
2023.
6. Shreya Deep, Two-dimensional tunable-Q wavelet
transform based skin cancer detection, November, 2022.
7. Patnam Harshey, Iterative filter-based technique for
heart sound detection, November, 2022.
8. Sunchu Jahnavi, Synchrosqueezed wavelet transform
based tachycardia ECG signal classification, November, 2022.
9. Sai Pranavee K, Biometric identification based on EEG
signals, November, 2022.
10. Vineet Tripathi, Objective loudness growth prediction
using tone-burst auditory brainstem responses, November, 2022. (with Dr. Nitya
Tiwari)
11. Vardhan Paliwal, Age prediction based on EEG signals,
November, 2022. (with Dr. Vasily Vakorin, Simon Fraser University, Canada)
12. Kashish Bansal, Automated muscular diseases
identification from EMG signals, November, 2022. (with Dr. Gourinath Banda)
13. Aahan Tyagi, Complex signal analysis using
Fourier-Bessel series expansion based empirical wavelet transform, May, 2022.
14. Sonu Yadav, Automated classification of normal and
glaucoma fundus images using EWT method, May, 2021.
15. Varun Patil, FAWT based automated detection of sleep
apnea using EEG signals, May, 2021.
16. Abhishek Vashishtha, Singular spectrum analysis for
automated detection of epilepsy using EEG signals, May, 2021.
17. Chethan N., Pitch frequency determination from speech
signals based on FBSE-EWT method, May, 2021.
18. Pankaj Verma, Study on effects of chanting
on EEG signal rhythms, December, 2019.
19. Anmay Kumar, Fundamental frequency
determination for speech signals of Vedic mantras, December, 2019.
20. Himali Singh, Sliding-mode singular spectrum
analysis for sleep apnea detection using ECG signals, December, 2019.
21. Mayur Dahyabhai Chopda, Automated
identification of human emotions based on non-stationary EEG signal
processing, December, 2018.
22. Anmol Mansingh and
Banka Nithin, Automated screening of sleep apnea from ECG signals
using digital Taylor-Fourier transform, December, 2018.
23. 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)
24. 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)
25. Tanvi Priya and Abhishek Kumar Yadav, Computer-aided
detection of non-focal and focal EEG signals using flexible analytic wavelet
transform, December, 2016.
26. Abhinav Tripathi and Dhaivat Janmejay Joshi, Automated
classification of abnormal EMG signals using tunable-Q wavelet transform,
December, 2016.
27. Archit Mathur and Naveen Chaudhary, Detection of
glottal closure instants from voiced speech signals using the Fourier-Bessel
series expansion, May, 2015.
28. Shah Meet akshaykumar and Sumit Saurav, Classification
of epileptic seizure EEG signals using reconstructed phase space of intrinsic
mode functions, May, 2015.
29. Pakala Avinash and Kora Shashank, Classification of
normal and diabetic RR interval signals using empirical mode decomposition,
May, 2015.
30. Harish Padigala, Singular value decomposition based
method for AM-FM signal enhancement, May, 2014.
31. Rahul Shivaji Pawar, Design of adaptive doppler filter
bank for ground based radars, May, 2014.
32. Sanjay Kumar Meena, Comparison study of image
enhancement techniques, May, 2014. (with Dr. A. Vijesh)
33. Vimal Kumar Meena, Image enhancement using various
filtering techniques, May, 2014. (with Dr. A. Vijesh)
34. Arvind Kumar Meena and Devendra Kumar Meena,
Determination of instantaneous fundamental frequency from speech signals, May,
2014.
35. Sachin Londhe, Kishan Soni, and Abhishek Kumar,
Detection of human emotions based on EEG and ECG signals, May, 2014.
36. Suhani and Manila Chaudhary, Classification of normal,
seizure, and seizure-free EEG signals, May, 2014.
37. Aakash Gupta, Deepak Yadav, and Pritesh Kanani,
Vehicle license plate recognition, May, 2013. (with Prof. R. Bodade, MCTE Mhow)
38. Varun Joshi, Applications of fractional calculus in
signal processing, May, 2013. (with Dr. A. Vijesh)
39. Anamika Patel, Emotion recognition using EEG signals,
May, 2013.
40. Ronak Bajaj and Saransh Chhabra Fourier-Bessel
expansion based features for speaker identification, November, 2009. (at IIIT
Hyderabad with Prof. R.N. Biswas)
In Progress:
1. Kilaru Jaya Divya, Automated detection of eye
movements.
2. Arvapalli Vagdevi, Automated drowsiness detection from
physiological signals.
3. Sajan Swaroop Reddy, Brain-computer interface in
mobile environment.
4. Madhusudhan Reddy, Visual object identification from
physiological signals.