Improving event co-reference by context extraction and dynamic feature weighting. - Katie McConky; Rakesh Nagi; Moises Sudit; William Hughes (CogSIMA, 2012)

Optimizing Design Verification using Machine Learning: Doing better than Random. - William Hughes; Sandeep Srinivasan; Rohit Suvarna; Maithilee Kulkarni (CoRR, 2019)

MultiCall: A Transaction-batching Interpreter for Ethereum. - William Hughes; Alejandro Russo; Gerardo Schneider (BSCI, 2021)

Damage modeling framework for resilience hardening strategy for overhead power distribution systems. - William Hughes; Wei Zhang 210; Amvrossios C. Bagtzoglou; David W. Wanik; Osvaldo Pensado; Hao Yuan; Jintao Zhang (Reliab. Eng. Syst. Saf., 2021)

A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation. - William Hughes; Wei Zhang 210; Diego Cerrai; Amvrossios C. Bagtzoglou; David W. Wanik; Emmanouil N. Anagnostou (Reliab. Eng. Syst. Saf., 2022)

Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on the Power Grid. - Peter L. Watson; William Hughes; Diego Cerrai; Wei Zhang 210; Amvrossios C. Bagtzoglou; Emmanouil N. Anagnostou (IEEE Access, 2024)

Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model. - William Hughes; Peter L. Watson; Diego Cerrai; Xinxuan Zhang; Amvrossios C. Bagtzoglou; Wei Zhang 210; Emmanouil N. Anagnostou (Reliab. Eng. Syst. Saf., 2024)

Transmission Failure Prediction Using AI and Structural Modeling Informed by Distribution Outages. - Sita Nyame; William O. Taylor; William Hughes; Mingguo Hong; Marika Koukoula; Feifei Yang; Aaron Spaulding; Xiaochuan Luo; Slava Maslennikov; Diego Cerrai (IEEE Access, 2025)