Exploratory Data Analysis for Airline Disruption Management. - Kolawole Ogunsina; Ilias Bilionis; Daniel DeLaurentis (CoRR, 2021)

Uncertainty Quantification and Propagation for Airline Disruption Management. - Kolawole Ogunsina; Marios Papamichalis; Daniel DeLaurentis (CoRR, 2021)

Fleet-Level Environmental Assessments for Feasibility of Aviation Emission Reduction Goals. - Kolawole Ogunsina; Hsun Chao; Nithin Jojo Kolencherry; Samarth Jain; Kushal Moolchandani; Daniel DeLaurentis; William A. Crossley (CoRR, 2022)

Enabling integration and interaction for decentralized artificial intelligence in airline disruption management. - Kolawole Ogunsina; Daniel DeLaurentis (Eng. Appl. Artif. Intell., 2022)

Relational dynamic Bayesian network modeling for uncertainty quantification and propagation in airline disruption management. - Kolawole Ogunsina; Marios Papamichalis; Daniel DeLaurentis (Eng. Appl. Artif. Intell., 2022)

Artificial Neural Network Modeling for Airline Disruption Management. - Kolawole Ogunsina; Wendy A. Okolo (J. Aerosp. Inf. Syst., 2022)

A Hashgraph-Inspired Consensus Mechanism for Reliable Multi-Model Reasoning. - Kolawole Ogunsina; Morayo A. Ogunsina (CoRR, 2025)