This is a past event.

Title: AI-Native Decision Systems for Networked and Cyber-Physical Infrastructure

A Fellow of the ACM, IEEE, and AAIA, Anwar Walid is a recognized leader in cyber-physical systems, AI, distributed systems, and cybersecurity, with a career spanning industrial research and academia. As Director of Network Intelligence and Distributed Systems Research at Bell Labs, he led multiple research departments. His contributions include technologies such as Multipath TCP, recognized with the ACM SIGCOMM Networking Systems Award and widely deployed, as well as large-scale AI systems serving users worldwide. He has secured research funding from DARPA and NSF and holds 20 patents in networking, computing, and cybersecurity. He is also an Adjunct Professor at Columbia University, where he has developed and taught graduate courses.

In this seminar, Anwar Walid will present a perspective on decision-making in networked and cyber-physical systems, from control and reinforcement learning to AI-native decision systems. The talk introduces a shift toward decision systems that specify objectives and constraints at runtime, enabling dynamic behavior reconfiguration without redesign. Drawing on real-world systems and AI-based sequence models embedded within control loops, the seminar will explore how this approach enables more flexible and reliable decision-making and will conclude by outlining how the AI-native decision paradigm enables adaptive and scalable cyber-physical systems.