Conference Session

Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aditi Verma, University of Michigan; Katie Snyder, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion

establishment of the Global Forum on Nuclear Education, Science, Technology, and Policy. Aditi holds undergraduate and doctoral degrees in Nuclear Science and Engineering from MIT. Her work, authored for academic as well as policymaking audiences, has been published in Nuclear Engineering and Design, Nature, Nuclear Technology, Design Studies, Journal of Mechanical Design, Issues in Science and Technology, Bulletin of the Atomic Scientists, and Inkstick. Aditi enjoys hiking with her dog, reading speculative fiction, and experimenting in the kitchen.Dr. Katie Snyder, University of Michigan Dr. Snyder is a lecturer for the Program in Technical Communication at the University of Michigan. She teaches design, ethics, and

Conference Session

Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hua Chai, University of New South Wales ; Jayashri Ravishankar, University of New South Wales; Inmaculada Tomeo-Reyes, University of New South Wales

Tagged Divisions

Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion

chemical processes. Laboratory experiments in green chemistry and Practice field trips to waste management facilities will be used to demonstrate eco-friendly processes. Discipline “3P” components (Policy – Pedagogy – Practice) Policy Data privacy, cybersecurity, AI regulations. Covering cybersecurity, data protection Computer Science and Pedagogy regulations, and AI ethics. Engineering Conducting coding workshops

Conference Session

Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mohammad Abu Rafe Biswas, The University of Texas at Tyler; Aaditya Khanal, The University of Texas at Tyler; Prabha Sundaravadivel, The University of Texas at Tyler

Tagged Divisions

Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion

-engineering related problems using AI and ML. Italso discusses the importance of understanding the ethics of AI in engineering, expertise of AI, modelingphysics using AI, and differences between AI and traditional statistics. Finally, a paper describes a softwarepackage based on neural network and expert system technology that emulates the interview and evaluationprocess to measure the intellectual development of engineering students [10].This work-in-progress study sought to incorporate analysis of renewable energy and sustainabilityapplications using ML techniques. There, the objectives of this work-in-progress study are: 1. Develop and implement a project-based learning course to model and analyze renewable energy systems