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- 2024 ASEE North Central Section Conference
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Prakash NA Ranganathan, University of North Dakota; Jamison Jangula, University of North Dakota; Utku Kose, University of North Dakota; Neena Goveas, University of North Dakota; Shree Ram Abayankar Balaji, University of North Dakota
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Diversity
Dakota Grand Forks, North Dakota 58202Email: {prakash.ranganathan, jamison.jangula, utku.kose, neena.goveas, shree.balaji}@und.eduAbstractDigital transformation leading to rapid automation is creating significant changes in all aspects ofour lives. Unfortunately, today's interconnected digital networks have increased vulnerabilities andcyber threats. The frequency of cyber threats in critical infrastructures and across all applicationsectors has risen. Moreover, Artificial Intelligence (AI) has expanded the threat landscape to a newlevel by integrating sophisticated mechanisms (e.g., automated coding, deepfakes, socialengineering) capable of manipulating and exploiting humans, systems, or networks. There is anurgent
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Nicholas Brown, Western Michigan University; Johan Fanas Rojas, Western Michigan University; Alyssa K. Moon, Western Michigan University; Ali Alhawiti, Western Michigan University; Pritesh Yashaswi Patil, Western Michigan University; Parth Kadav, Western Michigan University; Kira Hamelink, Western Michigan University; Wendy R. Swalla, Western Michigan University; Zachary D. Asher, Western Michigan University
. IEEE; 2022. p. 1–4.16. Rojas, Johan Fanas, Patil Pritesh, Masterson Alexandra, Thomas Bradley, Zachary D. Asher. Automated Vehicle Lane Centering System Requirements Informed by Resilience Engineering and a Solution Using Infrastructure-Based Sensors. INCOSE 33rd Annual International Symposium 2023.17. Brown NE, Motallebiaraghi F, Ekti AR, Rojas CWJ, Ayantayo S. Evaluation of Autonomous Vehicle Sensing and Compute Load on a Chassis Dynamometer. In: 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023. IEEE; p. 7.18. Sharma S, Rojas JF, Ekti AR, Wang CR, Asher Z, Meyer R. Vehicle Lateral Offset Estimation Using Infrastructure Information for Reduced Compute Load. SAE Technical Paper; 2023.Proceedings
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- 2024 ASEE North Central Section Conference
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Bilal Alhawamdeh, Western Michigan University; M Muchson; Ahmad Mohammad Rasheed Al-Bodour, Western Michigan University
the report? sections Sustainability was stand-alone section in report 6. Quantitative or qualitative Environmental Quantitative incorporation of sustainability? Economic Qualitative Social 7. Source/ reference cited for sustainability concept Yes No 8. Sustain- Sustainable Agriculture, Sustainable Land Use, Industrial Ecology, Corporate ability Sustainability, Climate Change, Renewable Energy, Green Buildings, Sustainability Topics Infrastructure, Green Construction, LCA (Life Cycle Assessment), Material Flow
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Aiden James Landis, University of Pittsburgh; Robert J Kerestes, University of Pittsburgh; David V.P. Sanchez, University of Pittsburgh; Tony Lee Kerzmann, University of Pittsburgh
have in- cluded evaluating composting stations in Wilkinsburg, studying infrastructure resilience in Homewood, enabling community solar in PA, improving energy efficiency in McCandless Township, and improving water quality in our rivers. He teaches core Sustainability courses, labs in the Civil & Environmental Engineering Department, electives in the Innovation and Entrepreneurship program, the First-Year Engi- neering program, and International Study Abroad programs.Dr. Tony Lee Kerzmann, University of Pittsburgh Dr. Tony Kerzmann’s higher education background began with a Bachelor of Arts in Physics from Duquesne University, as well as a Bachelor’s, Master’s, and PhD in Mechanical Engineering from the
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- 2024 ASEE North Central Section Conference
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Christopher Gioia, Slippery Rock University; Samantha (Sami Bortz
, inclusive, diverse, and resilient communities.Students were assigned teams and tasked with creating their designs throughout the semester.Each team project was assessed through a final report and presentation delivered to the MCdirector and the class. A project grading rubric was provided for students to self-assess thequality of their work against the project expectations. Students also had access to an inspectionthermal imaging camera, anemometers, and various mechatronics sensors.There were several expected student learning outcomes from this project. It was expected thatthroughout the project students would be able to: 1. Use the engineering design process to produce solutions that meet specified needs with special consideration to