UG Students

B. Tech. Project Supervision:

Completed:

1. Ayush Kumar Awasthi, Pairwise electroencephalogram signals-based automated emotion identification system, December 2025.

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)