Machine Learning Methods for Evaluating Public Crisis: Meta-Analysis. - Izunna Okpala; Shane E. Halse; Jess Kropczynski (CSCI, 2022)

Perception Analysis: Pro- and Anti- Vaccine Classification with NLP and Machine Learning. - Izunna Okpala; Guillermo Romera Rodriguez; Weibing Zheng; Shane E. Halse; Jess Kropczynski (HICSS, 2022)

A Semantic Approach to Negation Detection and Word Disambiguation with Natural Language Processing. - Izunna Okpala; Guillermo Romera Rodriguez; Andrea H. Tapia; Shane E. Halse; Jess Kropczynski (NLPIR, 2022)

Evaluation of User Perception on Biometric Fingerprint System. - Jones Yeboah; Victor Adewopo; Sylvia Worlali Azumah; Izunna Okpala (CoRR, 2022)

The Framework For The Discipline Of Software Engineering in Connection to Information Technology Discipline. - Jones Yeboah; Izunna Okpala; Sylvia Worlali Azumah; Victor Adewopo; Hazem Said (CoRR, 2022)

Exploration of Various Machine Learning Techniques for Identifying and Mitigating DDoS Attacks. - Olufunsho I. Falowo; Izunna Okpala; Emmanuel Kojo; Sylvia Worlali Azumah; Chengcheng Li (PST, 2023)

A Framework for Perception Analysis of Social Media Data During Disease Outbreaks: Uncovering Patterns of Resentment Towards Bats. - Izunna Okpala; Guillermo Romera Rodriguez; Chaeeun Han; Melissa Meierhofer; Stefano Mammola; Shane E. Halse; Jess Kropczynski; Joseph Johnson (HICSS, 2024)

Human-Centered Agentic Framework for Machine Learning Modeling in Finance. - Izunna Okpala; Ashkan Golgoon; Arjun Ravi Kannan (SOSE, 2025)

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews. - Izunna Okpala; Ashkan Golgoon; Arjun Ravi Kannan (CoRR, 2025)