Research Interest
Advances in intelligent autonomies lead to the individualization of machines which calls into question the viability of the conventional centralized control system on which we depend heavily. My research objective is to discover solutions to harmonize complex systems involving interactions between diverse intelligent entities. My primary areas of research interest are decentralized traffic management, multi-agent planning, and safe human-machine collaborative systems. I am keen to conduct a theoretical investigation into the practical factors (uncertain, adversarial environment) of implementing decentralized control methods in a multi-agent system, with special emphasis on a safety-critical system. This includes ATM, future air mobility, and human interactive autonomies.
The advancement of intelligent autonomy will increase demand for multi-agent system research, making these topics more promising. Numerous incident reports indicate that disagreements between humans and machines had a significant role in causing confusion. In my perspective, the most major issue in these instances is the absence of redundancy; we lack a 'being' that can support either side of the opposing entities. (No one can judge who is lying when two individuals disagree in a segregated space) Exploring the possibilities of intelligent machines (learning-based), different from the conventional analogous machines, collaborating as a third entity in such a system would be an intriguing subject.
