Hannan

Hannan

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Portfolio

IoT-Based Geophysical Monitoring System

Published:

Design and implementation of a distributed IoT monitoring system for geophysical applications. The system integrates edge computing, machine learning, and wireless sensor networks for real-time structural health monitoring. Features include low-power operation, cloud-based data aggregation, and web-based dashboard for monitoring and analysis.

Physics-Informed Neural Networks for Wave Propagation

Published:

Development of physics-informed neural networks (PINNs) for solving elastic wave propagation problems. The project includes implementation of wave equation constraints, adaptive sampling strategies, and validation on synthetic and field datasets. Results show significant improvements in computational efficiency compared to traditional finite difference methods.