Organizers: T. Hardjono & S. Pisharody
The pervasiveness of mission-critical networked systems in all domains requires boosting their resilience and security. The use of artificial intelligence (AI) algorithms enabled by high performance extreme computing offers the promise of predictive analytics on large collections of network system data both at the data center core and the deployed edge. Furthermore, unique statistical properties of networked data often require new sparse formulations of traditional AI algorithms into graph neural networks. This special session seeks contributions highlighting advances in the use of high performance computing to address problems in the network system space, building/boosting the resilience of networked systems, and the empirical study of cyber-network observables to inform AI algorithms. The session will include presentations of current research results in cyber analytics as well as potentially useful techniques from other fields.
Agenda
Date: September 15, 2025 (17:30-19:30)
Invited Talk: Developing Trust in the Supply Chain
Guy Fedorkow (Juniper/HPE)
Invited Talk: Using AI to Achieve Peak Supply Chain Health
Karyl Fowler (Tradeverifyd)
Invited Talk: Supply Chain Transparency as Entailment for Device Attestation
Ned Smith (Intel)
Towards an Algorithm-based Approach for Soft Error Tolerance using Interval Arithmetic [Outstanding Paper Award]
Larry Tang, Varun Kumar, Matt Ngaw, Siddharth Singh, Devdutt Nadkarni, Lohith Tummala, Ken Mai, Franz Franchetti (Carnegie Mellon Univ.)
Detecting Expert-Written Comments in Stack Exchange
Himani Musku (Carnegie Mellon Univ.), Alea Ritchie (Stanford Univ.), Nour Jedidi, Rohan Leekha, Courtland VanDam (MIT Lincoln Laboratory)
Strategic Cyber Defense via RL-Guided Combinatorial Auctions
Mai Pham, Vikrant Vaze, Peter Chin (Dartmouth Coll.)
AI-Powered Network Energy Optimization Machine Learning Approaches to Reducing Network Power Consumption
Het Mehta (Cisco Systems), Sambu Patach Arrojula (Samsung)