Undergraduate researcher at IIT (BHU) working at the intersection of
Machine Learning, Robotics, Signal Processing, and Wireless Systems.
- Federated & Distributed Learning
- Computer Vision & Vision-Language Models
- LiDAR Perception & Autonomous Navigation
- EMG Signal Processing & Motor-State Forecasting
- Reinforcement Learning for Wireless / UAV Systems
🔹 TopoCo / Hierarchical Federated Learning
Topology-adaptive federated learning for UAV-IoT networks using primal-dual optimization, adaptive compression, dynamic client participation, and topology-aware client selection.
🔹 EMG Gait Forecasting
Muscle-synergy-based anticipatory gait forecasting using NMF, synergy dynamics, and neural sequence models.
🔹 LiDAR Traversability
ROS2/LiDAR perception pipeline using Patchwork++ and terrain analysis for autonomous navigation and traversability estimation.
🔹 UAV-RIS Reinforcement Learning
Deep reinforcement learning for joint optimization of RIS configuration, UAV positioning, transmit power, and wireless energy harvesting.
Programming: Python �� C++ · C · SQL · PySpark
ML/AI: PyTorch · Deep Learning · Computer Vision · Reinforcement Learning · NLP · Federated Learning
Robotics: ROS2 · LiDAR · OpenCV · RViz · Gazebo · CARLA · SUMO · Isaac Sim
Signal Processing: EMG · RF Signal Processing · NMF · Time-Series Analysis
Tools: Git · Docker · Linux · MATLAB · AutoCAD · Fusion 360
- Autonomous LiDAR perception and terrain traversability
- EMG-based anticipatory gait prediction
- Communication-efficient federated learning