My research interests lie in distributed deep learning, machine learning, distributed optimization algorithms, data analytics, time-series inference, large-scale building energy efficiency, and wind energy analytics. Currently I am focusing on developing data-driven-based techniques for smart building energy systems using deep learning and reinforcement learning. I love to apply mathematical knowledge and relevant approaches to solve practical science and engineering problems.