CCNCPS 2026 Keynote Talk: Interactive Massive-Scale Graph Analytics for Cyber-Physical Systems
Abstract
Cyber-physical systems such as power grids, transportation networks, industrial control systems, and sensor deployments generate massive interaction data that can be represented as evolving graphs. This keynote presents interactive, high-performance graph analytics for detecting anomalies, cascading failures, intrusions, and sensor degradation using Arkouda and Arachne. The talk explains how distributed Python-based analytics, sparse graph structures, and parallel graph algorithms can support real-world cyber-physical monitoring at massive scale.
| Date | Sep 15, 2026 11:00 AM – 12:30 PM |
| Event | 2026 IEEE International Conference on Communication, Computing, Networking, and Control in Cyber-Physical Systems (CCNCPS) |
| Location | Dubai, United Arab Emirates |
Bio:
Prof. David A. Bader is a Distinguished Professor and founder of the Department of Data Science and inaugural Director of the Institute for Data Science at New Jersey Institute of Technology. He is a Fellow of IEEE, ACM, AAAS, and SIAM, a recipient of the IEEE Sidney Fernbach Award, and a leading expert in high-performance computing, graph analytics, cybersecurity, and computational genomics. He has co-authored more than 400 scholarly papers and is recognized for pioneering Linux supercomputing and large-scale graph analytics.