Budapest University of Technology and Economics, HUNGARY, and DPAnalytics Solutions LLC, Houston, TX, USA. Lead Paper Presenter (3)– Digital Transformation, Artificial Intelligence, and Data Science for Development. He is a distinguished scholar and industry practitioner in the fields of software engineering, data science, and machine learning. He holds a Ph.D. in Software Engineering from Budapest University of Technology and Economics, alongside an M.Sc. in Telecommunications Engineering and a Postgraduate Diploma in Computer Science from University of Port Harcourt, and a B.Sc. in Computer Engineering from Rivers State University.

With over eight years of research and professional experience, his work spans large language models (LLMs), AI-driven vulnerability detection, optimization modeling, and enterprise information systems. Dr. Munonye currently serves as AI and Machine Learning Research Lead at DPAnalytics LLC, where he leads innovations in business process automation and financial data modeling.

His career also includes roles as a Data Scientist in Budapest, an AI Research Intern with ExxonMobil, and Lead Software Engineer at Eni Saipem, reflecting a strong integration of academic rigor and industry application.

Dr. Munonye has authored several peer-reviewed research papers, particularly in the areas of artificial intelligence and machine learning, with contributions covering microservices architecture, distributed systems, and advanced AI applications. His work has been presented at multiple international conferences, where he has actively contributed to global discussions on emerging technologies and innovations in AI. Through his research and professional engagements, he continues to make significant contributions to the advancement of AI and software engineering.