My research focuses on Edge Intelligence, an emerging field at the intersection of artificial intelligence (AI), the Internet of Things (IoT), and edge computing. Specifically, I investigate intelligent devices and systems capable of processing data locally, reducing reliance on cloud-based services. My goal is to understand how these devices can seamlessly integrate into complex cyber-physical systems, ranging from intelligent traffic monitoring to emergency vehicle detection.

This includes exploring efficient machine learning and AI algorithms tailored for edge deployments, evaluating their trade-offs in terms of latency, energy efficiency, and computational cost. Additionally, I examine the broader impact of Edge AI on real-time decision-making and autonomous operations, particularly in environments where network constraints, security, and reliability are critical factors.

Beyond Edge Intelligence, I am also interested in Digital Twins, digital counterparts of physical systems. My research aims to enhance their usability beyond simple mirroring, enabling predictive modeling, adaptive control, and resilient system design. By integrating Digital Twins with Edge AI, I explore how distributed intelligence can improve system robustness, optimize resource allocation, and facilitate dynamic decision-making in real-world applications.

Please reach out to collaborate 😃