Reverse Engineering March Madness Selection Committee Bracketology

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
GitHub

Deterministic Observability Framework for Multi-Agent LLM Systems

Multi-agent LLM systems operating across heterogeneous free-tier providers exhibit failure modes that cannot be characterized with existing orchestration tools. Provider rate limits, cascading retries ...
IEEE

End-to-End Deterministic Network Slicing: A Profit-Driven Optimization Framework with Domain-Specific Algorithms

Abstract: With the rapid evolution of 5G/6G networks, deterministic services such as the Industrial Internet, vehicular communications, and immersive applications impose stringent end-to-end (E2E) ...
IEEE

On Resolving Non-Preemptivity in Multitask Scheduling: An Optimal Algorithm in Deterministic and Stochastic Worlds

Abstract: The efficient scheduling of multi-task jobs across multiprocessor systems has become increasingly critical with the rapid expansion of computational systems. This challenge, known as ...