Work Experience
Advisor: Prof. Tapan K. Gandhi, IIT Delhi
Topic: Wearable Assistive Technologies and AI-Driven Approaches for Sleep Apnea Detection and Monitoring
Advisor: Prof. Tapan K. Gandhi, IIT Delhi and AIIMS Delhi
Topic: 3D Motion Perception in Patients with Eye-Movement Disorders.
Education
Electrical Engineering
Advisor: Prof. Tapan K. Gandhi and Prof. Prathosh AP
Research: Wearable Assistive Technologies and AI-Driven Approaches for Sleep Apnea Detection and Monitoring
CGPA: 9/10
Electrical Engineering
Advisor: Prof. Uttama Lahiri
Research: Design of Portable, Individualized Audio, Visual and Tactile Cueing Modules.
CGPA: 8.83/10
Electrical Engineering
Teaching Assistance
Sem 1: (Aug-Dec, 2023), Course: ELL305- Computer Architechture,
Advisor: Prof. Saurabh Gandhi, Prof. Tapan K. Gandhi
Sem 2: (Jan-Apr, 2024), Course: ELP101- Intro. to Electrical Engg.,
Advisor: Prof. Gourab Ghatak and others
Sem 2: (Jan-Apr, 2025), Course: ELP101- Intro. to Electrical Engg.,
Advisor: Prof. Ranjan K. Malik and others
2. M.Tech Teaching Assistance - IIT GN
[Dec-2018] - [Dec-2020]Sem 2: (Jan-Apr, 2019), Course: EE101- Electrical and Electronics Lab,
Advisor: Prof. S. Rajendran , 1st year Students-BTech
Sem 1: (Aug-Dec, 2019), Course: EE431- Electrical Systems Lab,
Advisor: Prof. Joycee M. Mekie, 4th Year Students-BTech
Sem 2: (Jan-Apr, 2020), Course: EE101- Electrical and Electronics Lab,
Advisor: Prof. S. Rajendran , 1st year Students-BTech
Sem 1: (Aug-Dec, 2020), Course: EE431- Electrical Systems Lab,
Advisor: Prof. Joycee M. Mekie, 4th Year Students-BTech
Selected Course Work
Computational Neuroscience,
Digital Image Processing,
Mathematical Foundations of Co,
Computational Perception & Co.,
Advanced Machine Learning,
Research Writing
Nanoscale Device Engineering
Mathematical Foundations for Computer Vision and Graphics
Electronic Instrumentation
Number Theory
Digital Control Systems
Artificial Intelligence
Writing
Mathematical Methods in Engineering
Electric Vehicle Technology
Sanskrit Literature
Advanced Numerical Methods in Engineering
Mathematics ( In total 8 courses)
Introduction to Computing
Introduction to Analog and Digital Systems
Electronic Devices
Signal and Systems
Digital Systems and Microprocessor
Digital Signal Processing
Probability and Random Processes
Advanced Signal Processing
Control Theory
Power Electronics
Physics of Transistor
Programming Language :
MATLAB
Python
Software/Hardware Knowledge:
Arduino (Teensy, UNO, Nano, MEGA)
Logisim-evolution
Psychopy
Psychtoolbox
Brain Vision Wired EEG System
MentaLab
EEGLab
Diptrace
Eagle (PCB Designing Software)
Latex
ADInstruments 8 Channel Wireless EEG System.
Delsys Trigno wireless electromyography (EMG) based solutions for monitoring human movement.
eq02 lifemonitor system