Aboud Onji is a Mexican engineer, researcher and communications specialist. Strategist and expert in energy management, public administration models and the application of AI in organizational innovation. He has extensive experience in improving communication in corporate and government organizations. In addition to being a member of the Spanish association of communication managers DIRCOM since 2021, Aboud is an expert geopolitical analyst in the Middle East and international politics. He speaks Arabic, Spanish, French and English.
He is a professor at different universities in Mexico.
AI projects
Artificial intelligence is not GPT Chat; this is one of its uses, but AI is much more! This page provides a quick and basic summary of some of Aboud Onji's research on AI and its applications.
Consumer Happiness in the Purchase of Electric Vehicles: a Fuzzy Logic Model
This study analyzes customer happiness in acquiring an electric vehicle, considering pleasure as an ambiguous language term that conventional models have inadequately incorporated. This research was conducted using a fuzzy Delphi method survey targeting a specific consumer group and two fuzzy inference systems: a multi-input single-output FIS model and an FIS Tree employing a hierarchical fuzzy inference structure, which leverages the survey's training data to optimize the models using different machine learning algorithms... (Lee el artículo completo)
Use FACTS elements to improve energy exchange between countries in response to the high penetration of variable renewable energy
Integrating Variable Renewable Energy sources (VRE) into Electric Power System (EPS) requires optimizing the synergy between VRE characteristics, PES flexibility elements, and local Electric Market operations. However, during advanced integration phases, where VRE accountsfor a significant portion of the system’s energy, and in the face of stability issues caused by energy excess, cross- border energy exchange appears to be one of the most effective solutions for Energy Management..... (Read full paper)