Rasikh Tariq is a Research Professor at Institute for the Future of Education, Tecnologico de Monterrey. He holds a degree in Mechanical Engineering and a professional license in Mechatronics Engineering, as well as postgraduate degrees (Master¿s and Doctorate) in Engineering with a specialization in Renewable Energy. His research spans engineering applications for multi-criteria optimization of machines and industrial processes, the design of social systems for human learning, and technologies for the digital twinning of both machines and social systems. The unifying element in his interdisciplinary research is the application of machine learning across physical, chemical, environmental, social, and educational domains. His current research interests focus on capacity building in computational and programming thinking for storytelling, particularly among higher education students, with thematic emphasis on energy, the environment, climate change, and energy transition. One of the main pathways for this work is through open-access digital education platforms, with a particular emphasis on Educational Data Mining. He leads projects related to inclusive educational platforms on electric vehicles, a repository for complex thinking, and computational thinking in Sustainable Development Goals scenarios. Another significant project explores the transformative experiences of indigenous Mayan communities through informal educational approaches, integrating green energy technologies to build scalable energy communities. The social, environmental, technological, and economic impact of his research has been recognized with SNII Level II distinction by the Government of Mexico (2024) and the Tecnos Award by the Government of Nuevo León (2025).