Research Profile

My research focuses on reliable, interpretable, and computationally efficient methods for communication, sensing, and data-driven engineering systems operating under uncertainty.

Machine Learning for Time-Series Data

Developing models for detection, classification, prediction, and anomaly detection in noisy temporal datasets.

Signal Processing & Low-SNR Systems

Designing algorithms that extract reliable information from real-world signals affected by noise, uncertainty, and variability.

Wireless Communications & Localization

Applying probabilistic models and machine learning to wireless localization, VLC, Wi-Fi, and communication systems.

AI-Driven Engineering Systems

Building reliable AI systems by combining domain knowledge, statistical modeling, and practical computational workflows.