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PhD ongoing:
Avni Jain
Avni Jain
Research Area: Biomedical signal analysis and classification
Krishnakant Sharma
Krishnakant Sharma
Research Area: Brain-Computer Interface, Non-stationary Signal Analysis
Kamlesh Kumar
Kamlesh Kumar
Research Area: Non-stationary Signal Analysis, Machine Learning, Artificial Intelligence, Neurological Disease Detection, Linear Algebra
Gaurav Shivaji Datkhile
Gaurav Shivaji Datkhile
Research Area: Biomedical Signal Processing, Machine Learning, Control Systems
Mohit Khamele
Research Area: Health alert system,IoT, Time-Frequency Analysis, Biomedical Signal Processing
Title : Design and development of internet of medical things and AI-based mental health alert system with smartphone application using ear-electroencephalogram waves and hotoplethysmography vital physiological measurements (ICMR project).
Bunty Jat
Research Area: Artificial intelligence, BCI, IoT, Time-Frequency Analysis, AI For Biomedical Signal Processing
Title : Artificial intelligence in signal processing framework for analysis and classification of biomedical signals.
Naveen Kumar
Research Area: Biomedical signal analysis and classification for sleep monitoring. (with Dr. Ayush Tripathi)
Open seminar completed:
Research Area: Non-stationary signal, Mantra meditation, Neurological disease detection, BCI application
Siva Sankar Reddy
Siva Sankar Reddy
Research Area: Non-stationary signal processing and Time-Frequency analysis, Machine Learning.
(Jointly Supervised by Dr. Appina Balasubramanyam and Dr. Nitya Tiwari, IIT Bhubaneswar)
Research Area: Speech signal processing, Non-stationary signal analysis, Biomedical applications
PhD: Completed
Achinta Mondal, Electrocardiogram noise detection and classification methods for quality-aware cardiac health monitoring, January 2026 (Submitted). (with Dr. M. Sabarimalai Manikandan, IIT Palakkad)
Yamalakonda Venu Gopal, Nonlinear state estimation in chaotic systems and applications, September 2025. (Submitted) (with Dr. Appina Balasubramanyam and Dr. Abhinoy Kumar Singh, IIT Patna)
Makam Kiran Kumar, Automated electromyogram signal classification frameworks based on singular spectrum analysis variants, June 2025. (Submitted)
Nabasmita Phukan, Deep learning and signal processing-based methods for detection of life-threatening cardiac arrhythmias, November 2025. (with Dr. M. Sabarimalai Manikandan, IIT Palakkad)
Vivek Kumar Singh, Methods for analysis and classification of non-stationary signals based on eigenvalue decomposition of Hankel matrix, October 2025.
Aditya Nalwaya, Automated human emotion identification frameworks using non-stationary physiological signals, August 2025.
Kumari Jyoti, Memristive crossbar array-based frameworks for image analysis and classification, May 2025. (with Prof. Shaibal Mukherjee)
Shailesh Vitthalerao Bhalerao, Sparse spectrum enabled swarm decomposition for brain signal processing, March 2025.
Kritiprasanna Das, Multivariate iterative filtering for multichannel EEG signal processing, November 2024.
Amrit Panda, Hyperspectral image processing for chronic myeloid leukemia diagnosis, August 2024. (with Dr. Neeta Devi Sinnappah-Kang, Christian Medical College Ludhiana, India)
Dada Saheb Ramteke, Automated methods for gearbox fault diagnosis using advanced signal processing techniques, January 2024. (with Prof. Anand Parey)
Arti Anuragi, Improving automated analysis and leaning of EEG signals for brain disorders detection using Fourier-Bessel series expansion based empirical wavelet transform, December 2023. (at NIT Raipur, with Dr. Dilip Singh Sisodia)
Pradeep Kumar Chaudhary, Fourier-Bessel series expansion for medical image processing, May 2023.
Akanksha Tiwari, Angular disparity and dimensionality in mental rotation: Characteristics of saccadic eye movement and electroencephalogram, February 2022. (with Dr. Sanjram Premjit Khanganba)
Vipin Gupta, Fourier-Bessel domain based new methods for automated classification of EEG signals, January 2022.
Rahul Sharma, Biomedical signal processing using higher order statistics, September 2020. (at IIT Kanpur, with Prof. P. Sircar)
Shishir Maheshwari, Advanced image analysis techniques for automated glaucoma diagnosis using retinal fundus images, July 2020. (with Dr. V. Kanhangad)
Anurag Nishad, Tunable-Q wavelet transform based filter banks for non-stationary signals analysis and classification, July 2019.
Mohit Kumar, Automated diagnosis methods for heart diseases using flexible analytic wavelet transform, February 2019.
Rishi Raj Sharma, Non-stationary signal processing techniques based on eigenvalue decomposition of Hankel matrix, November 2018.
Abhijit Bhattacharyya, Advanced wavelet transforms based EEG signal processing methods for epilepsy diagnosis, October 2018.
Abhay Upadhyay, New methods based on variational mode decomposition for speech signal analysis, November 2017.
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)
Rajeev Sharma, Automated identification systems based on advanced signal processing techniques applied on EEG signals, February 2017.
Shivnarayan Patidar, Tunable-Q wavelet transform based methodologies for analysis and classification of cardiac signals, May 2015.
Pooja Jain, Noise resilient speech signal analysis using non-stationary signal processing techniques, April 2015.
Varun Bajaj, Analysis and classification of EEG signals using novel features based on non-stationary signal decompositions, February 2014.
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