Ph.D. Students supervised/ In progress

As supervisor

1.  Ms. Archana Penchala  (Tentative thesis Title: Deep Learning Methods Implemented on Edge Devices for Automated Detection of Retinal Diseases using Fundus and OCT Images (as Sole supervisor, Status: Ongoing from 15/01/2024).

2. Ms. Shaswati Dash (Tentative Thesis title: Multiscale domain Machine Learning Approaches for the analysis and Classification of EEG Signals (2021- ),  Status: Thesis to be submitted on Dec, 2024)

Presently working as Data Analyst, DatAIsm pvt ltd, Pune, India.

3. Dr. 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)

Presently working as Neuroscientist, AI Research Center, Woxsen University, Hyderabad.

As Co-supervisor

4. Dr. Samit Kumar Ghosh (Thesis title: Automated detection of Heart valve Disorders using Time-Frequency Analysis of PCG Signal (2018-2022), Status: Completed and Thesis defended on 17th August,  2022)

Presently working as Post Doc, Khalifa University, Dubai

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. Adnan Altaf (Project Title: A novel deep CNN model deployed on Android device for real-time detection of breast cancer using Thermogram images, 2024)

2. Soumil Hooda (Project Title: An IoT enabled deep learning-based Approach for Detection of Atrial Fibrillation from 12-lead ECG Signals, 2024) 

3. Harshit Juneja and Rishabh Mittal (Project Title: A smartphone enabled Deep Learning System to detect pulmonary diseases using Lungs sound signals, Dec, 2023)

4. Rya Sanovar, (Project Title: An IoT and Edge enabled deep neural network architecture for Bone Fracture detection using X-ray images, Dec, 2023)

5. Aditya Vinod, (Project Title: An IoT and Edge enabled deep neural network architecture for cancer detection using ultrasound images, Dec, 2023)

6. Prabhav Guddati, (Project Title: FPGA Implementation of deep neural network models and hardware accelerators for detection of Pulmonary diseases using chest X-ray images, Dec, 2023)

7. Shirish Visweswar, (Project Title: A smartphone enabled Deep learning approach to Detect Myocardial infarction using ECG traces), Dec, 2023

8. Anurag Gade, (Project Title: Multiscale Domain Interpretable deep Learning for thermogram image analysis), 2023.

9. Harika Manda (Project Title: Time-Frequency Domain Modified Vision Transformer for 12-lead ECG data analysis, 2023)

10. Satvik BhaskarPandit, (Project Title: Multiscale Deep Representation Learning for the Detection of Myocardial infarction using 12-lead ECG), 2022.

11. Abhay Patwari, (Project Title: Ramanujan Transform Domain Deep Learning Approach for Atrial Fibrillation Detection using 12-lead ECG signals), 2022.

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

13. Tejas Radhakrishnan (Project Title: Time-Frequency domain Deep CNN for the detection of  Atrial Fibrillation using ECG signals), 2021.

14. Abhishek Varshney (Project Title: Recurrent neural network for the classification mental arithmetic tasks using various entropy features extracted from EEG signals), 2021.

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

16. Piyush Jain (Project Title: Deep Neural Network for the detection of Hypertension using ECG Signals), 2020.

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

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

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

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

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