Ph.D. Students supervised/ In progress

As supervisor

1. Shaswati Dash (Tentative Thesis title: Multiscale domain Machine Learning and Deep Learning Approaches for the analysis and Classification of EEG Signals (2021- ), Status: Ongoing)

2. Pranjali Gajbhiye (Thesis title: Multiscale Hybrid Approaches for the elimination of various artifacts from EEG signals (2018-2021) Status: Completed and Thesis defended on 3rd December, 2021)

As Co-supervisor

3. Samit Kumar Ghosh (Thesis title: Time-Frequency domain Machine learning approaches for the detection of Heart valve Disorders using PCG Signals (2018-2022), Status: Completed and Thesis submitted)

ME/M-Tech Students Supervised

1. Sakshi Korpade (Completed, Title: Graph domain machine learning approaches for the emotion recognition and brain-computer interface applications), BITS Pilani, Hyderabad campus, 2021.

2. Ayush Jain (Completed, Title: Graph domain deep learning approaches for the emotion recognition and brain-computer interface applications), BITS Pilani, Hyderabad campus, 2021.

3. Ashish Padhi (Completed, Title: Compressive sensing driven ECG Telemetry system for Healthcare Monitoring), BITS Pilani, Hyderabad campus, 2020.

4. Yakkati Rajesh Reddy (Completed, Title: Automated modulation classification using multiscale deep learning), BITS Pilani, Hyderabad Campus, 2020.

5. Sourav Panigrahi (Graduated, M-Tech Project Title- "Estimating Loss of Clinical Information in ECG Signal During Transmission for Tele-Healthcare Monitoring Applications"), Siksha O Anusandhan, 2018.

BE/BTech Students Supervised

1. Abhay Patwari, (Project Title: Ramanujan Transform Domain Deep Learning Approach for Brain-Computer Interface Applications), 2022.

2. Jay Karhade (Project Title: Development of Multichannel Multiscale two-stage Deep CNN for the detection and localization of Myocardial Infarction using VCG signals), 2021.

3. Tejas Radhakrishnan (Project Title: Time-Frequency domain Deep CNN for the classification of ECG signals), 2021.

4. Abhishek Varshney (Project Title: Recurrent neural network for the classification of EEG signals using various entropy features), 2021.

5. Daksh Maheswari (Project Title: Deep Neural Network for the emotion recognition using Multichannel EEG signals), 2020.

6. Piyush Jain (Project Title: Deep Neural Network for the Classification of ECG Signals), 2020.

7. Rohan Panda, (Project Title: Detection of Shockable Ventricular Arrhythmia from ECG signal using FFREWT filter bank and deep CNN), 2020.

8. Sahil Jain (Project Title: Development of Multivariate sliding mode singular spectrum analysis Algorithm for the Decomposition of Multisensor Time series ), 2020.

9. Srirangan M (Project Title: Time-Frequency domain CNN for the Classification of Focal and Non-Focal EEG Signals), 2019.

10. Siddharth T (Project Title: Classification of Focal and Non-Focal EEG Signals using Sliding Mode Singular Spectrum Analysis), 2019.

11. Viswabhargav CH (Project title: Detection of sleep apnea from EDR and Heart rate signals using sparse residual entropy features), 2018.