PhD researcher in Signal Processing and Machine learning at IIT Delhi 🤖

I am a PhD candidate at IIT Delhi, specializing in AI-driven signal processing and multi-modal learning. My research focuses on structural vibration-based recognition, and I am supported by the PMRF Fellowship. I earned my MTech in Mechatronics and Robotics from IIEST Shibpur with a GATE Fellowship. I have published my work in IEEE Signal Processing Letters, IEEE Sensors Letters, and top conferences like ICASSP, SENSYS (Poster). I hold multiple patents in seismic-based sensing applications and received the IEEE SPS Fellowship (2024). Beyond research, I have industry experience as a Deep Learning Engineer and have taught as a guest lecturer at JNU and course instructor at Delhi University. My expertise spans machine learning, computational perception, embedded systems, and robotics. I have led teams in developing real-time AI applications for predictive maintenance, gait recognition, and cognitive load estimation. I actively contribute to open-source AI research and mentor students in sensor-based machine learning projects. I am proficient in Python, C/C++, TensorFlow, and PyTorch, and actively volunteer my expertise through workshops and mentoring programs. I have attended specialized programs in Machine Learning at ETH Zurich and the University of Genoa, Italy.

Education

Ph.D. in Signal Processing and Machine Learning (2022 - Present)
Indian Institute of Technology Delhi
Thesis: An Exploratory study in Human Cognition, movement and Locomotion using non-invasive sensors
PMRF Fellowship and IEEE SPS Fellowship Recipient
M.Tech in Mechatronics and Robotics (2019 - 2021)
Indian Institute of Engineering Science and Technology, Shibpur
Thesis: Human Action Recognition using vibration and vision sensors
GATE Fellowship recipient