I. Courses Taught at BITS Pilani, Hyderabad Campus
(1) Signals and Systems (BE 2nd Year ECE/EEE/INSTR, 1 time, Feedback-9.41/10).
(2) Neural Network and Fuzzy Logic (BE 3rd Year ECE/EIE/EEE/CSE/IT, 5 times, average Feedback-9/10).
(3) Introduction to Artificial Neural Network (ME 1st year Communication/ Embedded system, 2 times, Feedback-9.68/10).
(4) Digital Signal Processing (BE, ECE/EIE/EEE students, 1 time)
II. Labs Handled at BITS Pilani, Hyderabad Campus
1. Signals and system using MATLAB (2 times, Feedback-9.09/10).
2. Neural Network and Deep Learning using MATLAB and Python (Feedback-7.46/10).
3. Digital Signal processing Lab using MATLAB (1 time)
III. Courses Taught at Previous University
(1) Introduction to Information Theory (EET3061, BTech 7th Sem, ECE)
(2) Introduction to MATLAB (MTH 3006, BTech 4th Sem, EEE and CSE)
IV. Teaching Assistant in Courses at IIT Guwahati
(1) Biomedical Signal Processing (EE 626, Course Instructor: Prof. Samarendra Dandapat, Branches: BTech 7th Sem, MTech 1st sem, PhD)
(2) Linear Algebra and Optimization (EE 504, Course Instructor: Prof. Samarendra Dandapat, Branches: MTech 1st sem, PhD)
(3) Probability and random Processes (EE 506, Course Instructor: Prof. Samarendra Dandapat, Branches: MTech 1st sem, PhD)
Ph.D. Students supervised/ In progress
As supervisor
Shaswati Dash (Tentative Thesis title: Multiscale domain Machine Learning and Deep Learning Approaches for the analysis and Classification of EEG Signals (2021- ), Status: Ongoing)
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
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
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
Abhay Patwari, (Project Title: Ramanujan Transform Domain Deep Learning Approach for Brain-Computer Interface Applications), 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 classification of ECG signals), 2021.
Abhishek Varshney (Project Title: Recurrent neural network for the classification of EEG signals using various entropy features), 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 Classification of 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.