This talk will feature discussions on how AI is impacting networking operations and new challenges it will help solve as data continues to grow in wired and wireless networks. In addition we will discuss how quantum internet will grow out of these current networking application.
AI in general has brought many impacts in many fields. In networking we also see major advantages of employing AI to find unknown patterns in our data sets and how we can improve these. As we strive to improve wide area networks and wireless networks, we also see new developments in quantum networks growing out of current networking infrastructures, using new technologies to allow for coexistence of both optic and quantum channels on current infrastructure.
I am a Computer Networking and AI Scientist and currently serve as Group Lead to ORNL’s Quantum Networking and Communications Group. My research focuses on 'Engineering Self-Driving Networks', exploring AI/ML solutions for improving network performance, flexibility and high-speed distributed data transfers for science. Involving themes of deep learning, software engineering and complex networks, I have developed solutions for optimizing data movement, TCP/IP protocols, learning controllers for Wide area network (WANs), wireless/5G (& Beyond) and Quantum networked devices. My research impacts DOE’s infrastructure used for high-energy physics, neutron science, materials science, biology, ecology, smart grids and nuclear energy applications
