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. 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).

5. 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).

6. Vipin Gupta, Development of new methodologies for analysis and classification of epileptic seizure EEG signals (CSIR project), June, 2016-December, 2018 (Research associate).

7. 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. Amrit Panda, Hyperspectral image processing for chronic myeloid leukemia diagnosis. (with Dr. Neeta Devi Sinnappah-Kang, Christian Medical College Ludhiana, India), June, 2023 (Submitted)

2. Dada Saheb Ramteke, Automated methods for gearbox fault diagnosis using advanced signal processing techniques. (with Prof. Anand Parey), January, 2024.

3. 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.

4. Pradeep Kumar Chaudhary, Fourier-Bessel series expansion for medical image processing, May, 2023.

5. Akanksha Tiwari, Angular disparity and dimensionality in mental rotation: Characteristics of saccadic eye movement and electroencephalogram, February, 2022. (with Dr. Sanjram Premjit Khanganba)

6. Vipin Gupta, Fourier-Bessel domain based new methods for automated classification of EEG signals, January, 2022.

7. Rahul Sharma, Biomedical signal processing using higher order statistics, September, 2020. (at IIT Kanpur, with Prof. P. Sircar)

8. Shishir Maheshwari, Advanced image analysis techniques for automated glaucoma diagnosis using retinal fundus images, July, 2020. (with Dr. V. Kanhangad)

9. Anurag Nishad, Tunable-Q wavelet transform based filter banks for non-stationary signals analysis and classification, July, 2019.

10. Mohit Kumar, Automated diagnosis methods for heart diseases using flexible analytic wavelet transform, February, 2019.

11. Rishi Raj Sharma, Non-stationary signal processing techniques based on eigenvalue decomposition of Hankel matrix, November, 2018.

12. Abhijit Bhattacharyya, Advanced wavelet transforms based EEG signal processing methods for epilepsy diagnosis, October, 2018.

13. Abhay Upadhyay, New methods based on variational mode decomposition for speech signal analysis, November, 2017.

14. 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)

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

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

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

18. 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. Kritiprasanna Das, Multivariate iterative filtering for EEG signal processing.

3. Makam Kiran Kumar, New methods for electromyogram signal processing.

4. Shailesh Bhalerao, Sparse spectrum enabled swarm decomposition for brain signal processing.

5. Aditya Nalwaya, Nonlinear chirp mode decomposition-based methodologies for emotion recognition using physiological signals.

6. Ashok Mahato, Improved Fourier decomposition methods for brain-computer interfacing.

7. Alavala Siva Sankar Reddy, EEG based brain-computer interfacing from multi-modalities.

8. Yamalakonda Venu Gopal, Estimation and filtering for dynamic control system. (with Dr. Appina Balasubramanyam and Dr. Abhinoy Kumar Singh, IIT Patna)

9. Kumari Jyoti, Memristive device based implementation of signal processing methods. (with Dr. Shaibal Mukherjee) 

10. Amishi Vijay, Automated classification of speech signals for medical applications. (with Dr. Appina Balasubramanyam)

11. Achinta Mondal, Quality-aware bio-signal processing for smart health monitoring. (with Dr. M. Sabarimalai Manikandan, IIT Palakkad)

12. Nabasmita Phukan, Intelligent systems for vital sign monitoring for smart healthcare. (with Dr. M. Sabarimalai Manikandan, IIT Palakkad)

13. Avni Majawadia Jain, Biomedical signal analysis and classification.

14. Krishnakant Sharma, New methods for Brain-computer interface.

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)

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)