My current research mainstream is Applied Mathematics for Energy Systems which intersects between control systems, power and energy systems, and optimization, through collaboration with WPI-I2CNER. Particularly, I focus on problems in smart grid, multi-agent systems, and distributed optimization and control, where there are many emergent and challenging issues arising from the integration of stochastic and intermittent renewable energy sources, the control approaches for demand response and real-time pricing, the detection and protection against cyber-attacks, etc. Those complex problems may be handled by utilizing a combination of several applied mathematical tools including dynamical systems, nonlinear optimization, graph theory, nonlinear systems, and machine learning. Furthermore, I am also interested in iterative learning control, robust control, and optimal control, which are important tools to address many other interesting problems of realistic systems.