My research deals with the large-scale design and automation of high-speed low-latency services / applications for clients by utilizing the 5G+ wireless network architectures. More specifically, I am interested in transactive models which allocate the network resources and services to the clients based on their individual preferences and data sharing policies. I focus on designing low complexity scheduling algorithms which ensure network wide coordination among the servicing nodes of the network operator and provide timely and feasibe recommendations to the clients. I have a keen interest in optimization techniques and deep reinforcement learning techniques. Some key issues addressed by my team include client behavior modeling, faster learning under uncertainty, scalability, privacy, data caching and maintenance, and network-wide service provisioning. Presently, my research scholars have taken up some important research problems in the vehicular edge networking.