Students Supervision
Ph.D. Students supervised/ In progress
As supervisor
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.
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
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
Sakshi Korpade (Completed, Title: Graph domain machine learning approaches for the emotion recognition and brain-computer interface applications), BITS Pilani, Hyderabad campus, 2021.
Ayush Jain (Completed, Title: Graph domain deep learning approaches for the emotion recognition and brain-computer interface applications), BITS Pilani, Hyderabad campus, 2021.
Ashish Padhi (Completed, Title: Compressive sensing driven ECG Telemetry system for Healthcare Monitoring), BITS Pilani, Hyderabad campus, 2020.
Yakkati Rajesh Reddy (Completed, Title: Automated modulation classification using multiscale deep learning), BITS Pilani, Hyderabad Campus, 2020.
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
Adnan Altaf (Project Title: A novel deep CNN model deployed on Android device for real-time detection of breast cancer using Thermogram images, 2024)
Soumil Hooda (Project Title: An IoT enabled deep learning-based Approach for Detection of Atrial Fibrillation from 12-lead ECG Signals, 2024)
Harshit Juneja and Rishabh Mittal (Project Title: A smartphone enabled Deep Learning System to detect pulmonary diseases using Lungs sound signals, Dec, 2023)
Rya Sanovar, (Project Title: An IoT and Edge enabled deep neural network architecture for Bone Fracture detection using X-ray images, Dec, 2023)
Aditya Vinod, (Project Title: An IoT and Edge enabled deep neural network architecture for cancer detection using ultrasound images, Dec, 2023)
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)
Shirish Visweswar, (Project Title: A smartphone enabled Deep learning approach to Detect Myocardial infarction using ECG traces), Dec, 2023
Anurag Gade, (Project Title: Multiscale Domain Interpretable deep Learning for thermogram image analysis), 2023.
Harika Manda (Project Title: Time-Frequency Domain Modified Vision Transformer for 12-lead ECG data analysis, 2023)
Satvik BhaskarPandit, (Project Title: Multiscale Deep Representation Learning for the Detection of Myocardial infarction using 12-lead ECG), 2022.
Abhay Patwari, (Project Title: Ramanujan Transform Domain Deep Learning Approach for Atrial Fibrillation Detection using 12-lead ECG signals), 2022.
Jay Karhade (Project Title: Development of Multichannel Multiscale two-stage Deep CNN for the detection and localization of Myocardial Infarction using VCG signals), 2021.
Tejas Radhakrishnan (Project Title: Time-Frequency domain Deep CNN for the detection of Atrial Fibrillation using ECG signals), 2021.
Abhishek Varshney (Project Title: Recurrent neural network for the classification mental arithmetic tasks using various entropy features extracted from EEG signals), 2021.
Daksh Maheswari (Project Title: Deep Neural Network for the emotion recognition using Multichannel EEG signals), 2020.
Piyush Jain (Project Title: Deep Neural Network for the detection of Hypertension using ECG Signals), 2020.
Rohan Panda, (Project Title: Detection of Shockable Ventricular Arrhythmia from ECG signal using FFREWT filter bank and deep CNN), 2020.
Sahil Jain (Project Title: Development of Multivariate sliding mode singular spectrum analysis Algorithm for the Decomposition of Multisensor Time series), 2020.
Srirangan M (Project Title: Time-Frequency domain CNN for the Classification of Focal and Non-Focal EEG Signals), 2019.
Siddharth T (Project Title: Classification of Focal and Non-Focal EEG Signals using Sliding Mode Singular Spectrum Analysis), 2019.
Viswabhargav CH (Project title: Detection of sleep apnea from EDR and Heart rate signals using sparse residual entropy features), 2018.