• Ph D in Systems Engineering, Stevens Institute of Technology (2019)
• MS in Systems Engineering, The University of Texas at El Paso (2012)
• BS in Mechanical Engineering, The University of Texas at El Paso (2011)

• Using statewide transportation planning model to forecast demand for electric vehicle charging at stations along intercity highways International Journal of Transportation Science and Technology (2024), Michael Cruz, Ehsan Yahyazadeh Rineh, Sergio Luna, Ruey Long K. Cheu, Ziqi Song.
• Text-to-Model Transformation: Natural Language-Based Model Generation Framework Systems (in press), Sergio Luna.
• Development of a Digital Engineering Testing Framework for CUBESAT Applications The ITEA Journal of Test and Evaluation 45 3 (2024), Javier Martell, Anamika Siddique, Angel Flores-Abad, Roberto A. Osegueda, Sergio Luna, Ahsan Choudhuri, Joel Quintana.
• Evaluation of Maternal Patient Experience through Natural Language Processing Techniques: The Case of Twitter Data in the United States during Covid-19 Applied Sciences 14 19 (2024), Debapriya Banik, Sreenath Madathil, Sergio Luna, Amit J. Lopes.
• Enterprise Transformation and Cybersecurity: A Literature Review on Cyberattacks 2024 IEEE International Systems Conference (2024), Enoc Ferniza, Sergio Luna.
• Perceptions of Electric Vehicle Adoption Through Natural Language Processing and Machine Learning 2024 IEEE International Systems Conference (2024), Jesus A. Gutierrez Araiza, Ivonne Santiago, Sergio Luna.
• Smart Manufacturing for Underserved Workforce Development American Society for Engineering Education (2023), Amit Lopes, Ivan Renteria, Fashiar Rahman, Bill Tseng, Sergio Luna.
• Exploring Student Learning Experience of Systems Engineering Course Developed for Manufacturing and Industrial Engineering Graduates 2023 ASEE Annual Conference & Exposition (2023), Aditya Akundi, Immanuel Edinbarough , Md Fashiar Rahman, Amit J. Lopes, Sergio Luna.
• Exploring Systems Performance Using Modeling and Simulation – Project-based Study and Teaching 2023 ASEE Annual Conference & Exposition (2023), Md Fashiar Rahman, Aditya Akundi, Jakia Sultana, Tzu-Liang (Bill) Tseng, Amit J. Lopes, Sergio Luna.
• Cybersecurity Challenges in Electric Vehicles: An initial literature review and research agenda 2023 IEEE International Systems Conference (2023), Giordano Reyes Euceda, Aditya Akundi, Sergio Luna.
• Information entropy as a basis for classroom structural assessment IEEE International Systems Conference (2023), Aditya Akundi, Viviana Lopez, Sergio Luna.
• NATURAL RESOURCES MANAGEMENT FRAMEWORK FOR AGRICULTURAL IRRIGATION SYSTEMS OPTIMIZATION (2023), Juan Valentin Fernandez, Heidi Taboada, Adeeba Raheem, Amit Lopes, Ana Cram, Daniel Moriasi, Sergio Luna.
• Trends of systems engineering job postings and their implications for curriculum development American Society for Engineering Education (2022), Sergio Luna, Amit Lopes, Satya Aditya Akundi, Ahmed Bahabry.
• Social media and pandemic events: challenges for alert-warning systems IEEE System of Systems Conference (SOSE) (2022), Sergio Luna, Arleth Guerrero, Karen Gonzalez, Satya Aditya Akundi.
• Product Digital Quality Inspection using Machine Vision Systems–A Categorical Review IEEE System of Systems Engineering Conference (2022), Mark Reyna, Guadalupe Delgado, Sergio Luna, Satya Aditya Akundi, Erik Chumacero.
• Automated Quality Control System for Product Dimensional and Surface Analysis–An Industry Case Study IEEE Annual System of Systems Engineering Conference (SOSE) (2022), Satya Akundi, Mark Reyna, Sergio Luna, Eric C. .
• Online Model-based Systems Engineering (MBSE) Bootcamp: A Report on Two Day Workforce Development Workshop 2022 IEEE International Systems Conference (SysCon) (2022), Aditya Akundi, Oscar A. Mondragon, Mayra Ortiz, Bill Tseng, Sergio Luna, Viviana Lopez.
• Perceptions and the extent of Model-Based Systems Engineering (MBSE) use – An industry survey 2022 IEEE International Systems Conference (SysCon) (2022), Aditya Akundi, Wilma Ankobiah, Oscar A. Mondragon, Sergio Luna.
• Toward Industry 5.0 – Making sense of What Industry 5.0 is from a Text Mining Perspective Applied Systems Innovation (2022), Aditya Akundi, Daniel Euresti, Sergio Luna, Wilma A. , Amit J. Lopes, Immanuel Edinbarough.
• State of Industry 5.0—Analysis and identification of current research trends Applied System Innovation 5 (2022), Satya Aditya Akundi, Daniel Euresti, Sergio Luna, Wilma Ankobiah, Amit Lopes, Immanuel Edinbarough.

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