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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Preston K Sellards, Marshall University; Mathew Allen, Marshall University; Pingping Zhu, Marshall University; Ben Taylor, Marshall University

Linux is used for firmware compilation, Windows is used for debugging and visualizing what is happening with the program. OpenCV is an open-source software library that provides tools for computer vision and machine learning. This toolbox enables us to use drones and AI to automatically detect wildfires. With OpenCV that are certain detection methods, one of them being color segmentation. Color Segmentation uses HSV color space to isolate fire like colors, masks are then created for each color (like red, orange, and yellow) and then combined to highlight what represents a wildfire. OpenCV also uses contour analysis, which allows for data to be filtered

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Punya A Basnayaka, Cuyahoga Community College, School of Advanced Manufacturing, Engineering and Computer Science

Tagged Topics

Diversity

Paper ID #49469Inclusion of Sustainability into a First-Year Engineering Technology CourseDr. Punya A Basnayaka, Cuyahoga Community College, School of Advanced Manufacturing, Engineeringand Computer Science Punya Basnayaka (she/her/hers) is an Associate professor of Mechanical Engineering Technology at the Cuyahoga Community College, OH, where she teaches Mechanical Engineering Technology courses and Pre-Engineering courses. She has been involved with ABET accreditation process in preparing the self study report and course evaluation,. Additionally she is a member of the inaugural faculty learning community (FLC) for

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Xu Gao, Marshall University; Pingping Zhu, Marshall University; Mohammed Ferdjallah, Marshall University

on blood cell images, the methods are validated for versatility and can be extended to other imaging modalities, such as MRI, CT, and X-ray. This work advances the field by simplifying the adoption of state-of-the-art segmentation models in medical practice, bridging the gap between advanced computer vision techniques and clinical applications. Github: https://github.com/james-gaoxu/ Segmentation-on-medical-Images-colab.git I. I NTRODUCTION The advent of computer vision and deep learning has significantly impacted various fields, with medical imaging standingout as a major beneficiary. Medical image segmentation, a critical technique for diagnosing and planning

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Brian Krug, Grand Valley State University; Chirag Parikh, Grand Valley State University; Elora Mae Ferrie, Grand Valley State University

13pioneering effort and novel contribution to engineering education and outreach. Themethodologies and design principles established by this project can serve as a foundation forsimilar projects in the future, broadening its educational impact across institutions.References[1] T. Hamrita, W. Potter and B. Bishop, “Robotics, Microcontroller and Embedded Systems Education Initiatives at the University of Georgia An Interdisciplinary Approach” Computer Science Education, 2005[2] P. Rakshith, S. Shankar, N. Goutham, G. Savyasachi and R. Avinash, “Effective Implementation of Project based Learning in Microcontroller Course,” Journal of Engineering Education Transformations, Volume number 36, January 2023, Special Issue, eISSN 2394-1707[3] Emma

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Jundong Liu, Ohio University; Trevor Joseph Bihl, Air Force Research Laboratory; Daniel Masami Nagura, Ohio University

5epochs to compute their average scores. The results are summarized in Table 1. In this context, ascore of 800 points is considered excellent performance. From the data presented in Fig. 4 and Ta-ble 1, it is clear that incorporating human gameplay significantly enhances both the training speedand the overall performance of the RL-based racing car training solution. RL with Human Experience RL without Human Experience Average Score 859.81 515.21 Table 1: Average scores of the RLHE and RL-alone models, respectively.4 ConclusionsIn this work, we introduced RLHE as a novel approach to overcoming the limitations of tradi-tional reinforcement learning

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Lynn Dudash, University of Mount Union

strategies in a flipped classroom,” J. Comput. Assist. Learn., vol. 36, no. 1, pp. 70–88, 2020, doi: 10.1111/jcal.12392.[15] W.-J. Shyr and C.-H. Chen, “Designing a technology-enhanced flipped learning system tofacilitate students’ self-regulation and performance,” J. Comput. Assist. Learn., vol. 34, no. 1, pp.53–62, 2018, doi: 10.1111/jcal.12213.[16] V. S. G. Silverajah, S. L. Wong, A. Govindaraj, M. N. Md. Khambari, R. W. B. O. K.Rahmat, and A. R. M. Deni, “A Systematic Review of Self-Regulated Learning in FlippedClassrooms: Key Findings, Measurement Methods, and Potential Directions,” IEEE Access, vol.10, pp. 20270–20294, 2022, doi: 10.1109/ACCESS.2022.3143857.[17] L. Tomas, N. (Snowy) Evans, T. Doyle, and K. Skamp, “Are first year students ready

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Daron Marshall Weekley, Marshall University; Jace A McPherson-Duckworth, Marshall University; Anastasiia Sukhanova, Marshall Community & Technical College; Ananya Jana, Marshall University

Sukhanova, Marshall Community & Technical CollegeDr. Ananya Jana, Marshall University ©American Society for Engineering Education, 2025 Evaluating the Suitability of Different Intraoral Scan Resolutions for Deep Learning-Based Tooth Segmentation Daron Weekley1 , Jace Duckworth1 , Anastasiia Sukhanova1 , Ananya Jana1 , 1 Department of Computer Sciences and Electrical Engineering, Marshall University, Huntington, WV, USA Corresponding author: jana@marshall.eduAbstractIntraoral scans are widely used in digital dentistry for tasks such as dental restoration, treatmentplanning, and orthodontic procedures. These scans contain detailed topological

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Yousef Sardahi, Marshall University; Asad Salem

Tagged Topics

Diversity

Paper ID #49484Student Learning Through Engineering Design: Developing a Safe RecoilIndication System for Military ApplicationsDr. Yousef Sardahi, Marshall University Dr. Yousef Sardahi, an Associate Professor at Marshall University’s Mechanical and Industrial Engineering Department, completed his Ph.D. at the University of California, Merced, in 2016. His research primarily focuses on control system design and multi-objective optimization.Asad Salem ©American Society for Engineering Education, 2025 Student Learning Through Engineering Design: Developing a Safe Recoil Indication

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Trevor Joseph Bihl, Wright State University; Terry Lynn Oroszi, Wright State University; Subhashini Ganapathy, Wright State University; Jeffrey B. Travers, Wright State University

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Diversity

, 2023.[33] R. Harirforoush, "The benefits of design-project learning approach in an engineering course.," 2024 ASEE North Central Section Conference, pp. 1-8, 2024.[34] S. Turner, M. Pérez-Quiñones and S. Edwards, "Peer review in CS2: Conceptual learning and high-level thinking," ACM Transactions on Computing Education (TOCE), vol. 18, no. 3, pp. 1-37, 2018.[35] S. Turner and M. Pérez-Quiñones, "Exploring peer review in the computer science classroom.," arXiv preprint arXiv:0907.3456., 2009.[36] P. Wankat, "The role of homework," 2001 American Society for Engineering Education Annual Conference & Exposition, pp. 1-7, 2001.[37] G. Di Battista, P. Eades, R. Tamassia and I. Tollis, "Algorithms for drawing graphs: an annotated

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Yousef Fazea, Marshall University; Yousef Sardahi, Marshall University; Asad Salem

Tagged Topics

Diversity

Engineering Students at Marshall University in the Post-Pandemic Era Yousef Fazea1*, Yousef Sardahi2, Asad Salem31 Department of Computer Sciences and Electrical Engineering, Marshall University, One John Marshall Dr., Huntington, WV 25755; yousef.fazea@marshall.edu2 Department of Mechanical and Industrial Engineering, One John Marshall Dr., Huntington, WV 25755; sardahi@marshall.edu3 Department of Mechanical and Industrial Engineering, One John Marshall Dr., Huntington, WV 25755; salema@marshall.eduAbstractSince the outbreak of the COVID-19 pandemic, asynchronous online learning has become aprominent method of education, yet its impact on student satisfaction remains inconclusive

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Romain Kazadi Tshikolu, University of Detroit Mercy; Alan S Hoback, University of Detroit Mercy

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Conference on Engineering and production design education9 - 10 September 2021, via Design, via University College, Herning, DenmarkAlper Aslan, Problem- based learning in live online classes: Learning achievement, problem-solving skill,communication skill, and interaction, Computers & Education 171 (2021) 104237Lin, KY., Wu, YT., Hsu, YT. et al. Effects of infusing the engineering design process into STEM project-basedlearning to develop preservice technology teachers’ engineering design thinking. IJ STEM Ed 8, 1 (2021).https://doi.org/10.1186/s40594-020-00258-9https://www.semiconductors.org/chipping-away-assessing-and-addressing-the-labor-market-gap-facing-the-u-s-semiconductor-industry, consulted on January 6, 2025Amegah A. et al., https

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Ernest David Cartwright Sr., Marshall University

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Paper ID #49758Work in Progress: A two-way learning street: Near-peer college studentsenhance high school after-school STEM club opportunitiesMr. Ernest David Cartwright Sr., Marshall University As the oldest of four in a single-parent household near Dayton, Ohio, my upbringing instilled a deep sense of responsibility and resilience. Growing up, I developed a passion for math and science, which shaped my academic pursuits and guided my career path. I earned my Bachelor’s and Master’s degrees in Mechanical Engineering from the University of Dayton, where I honed my analytical and problem-solving skills. I then worked for

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Seyed Mohammad Seyed Ardakani P.E., Ohio Northern University; Julia Kamatali, Ohio Northern University

Horldt Outstanding Teaching Award.Miss Julia Kamatali, Ohio Northern University Julia Kamatali is an undergraduate student in Computer Engineering at Ohio Northern University (ONU). Her research focuses on integrating gamification into engineering education to enhance student engagement. She is currently designing and developing an escape room game using Unreal Engine 5 as a learning tool for Statics courses that aims to provide an engaging alternative to traditional textbook homework. She is also researching current approaches to gamified learning environments and their application in education. ©American Society for Engineering Education, 2025 Work In Progress: Gamified Escape

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Tina Johnson Cartwright, Marshall University; Julie Lynn Snyder-Yuly, Marshall University; Wook-sung Yoo, Marshall University; Husnu Saner Narman, Marshall University

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, Bioinformatics, Dentistry, Dental Informatics programs at various public and private universities with more than 15 years of administrative experience as a chair/program director and 25 years of teaching, research, service, and industrial experiences.Husnu Saner Narman, Marshall University Dr. Husnu S. Narman is an Associate Professor in the Department of Computer Sciences and Electrical Engineering at Marshall University. Previously a post-doctoral fellow at Clemson University, his research interests include distributed computing, cyber-physical systems, machine learning applications, social networks, and advanced learning technologies. He has secured around $3.5 million in funding as PI or Co-PI and has over 60 peer

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Edward Jesse Sizemore III, Marshall University; Trevor Joseph Bihl, Marshall University

logical operations of a quantum computer and is used to directly modelquantum computing processes. Every time a user plays QuantumMoves it creates a solutionwhich appears on the game developers/researchers end as data describing the movement of alaser beam and quality of the solution. The challenges in the game are based on closely modelingcutting-edge research problems in quantum computing. Both FoldIt and Quantum Moves areexamples of games funded by CitizenScience [43]. Screenshots of Foldit, Quantum Moves, aswell as those of CrazyGames, DeepTraffic and ALE are shown in Figure 5.Figure 5. Screenshots of Deep Traffic, Foldit, Quantum Moves, Crazy Games, and Arcade Learning EnvironmentFuture Gamification in Power

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Baqer Aljabr, The University of Toledo; Mohammad Elahinia, The University of Toledo

Tagged Topics

Diversity

effectiveness. To address the challenges andimprove program participation, the findings suggested creating a short video, hiring a graduateassistant, leveraging existing connections, and conducting feedback.5. Discussion Working with robots and automation systems enhances technical skills and proficiencyenhancing a distinct factor that is crucial in today’s world of strategic thinking and analyticalmindsets. Secondly, if STEM clubs have a well-trained AI model, it will also be able to generatean increase in the interest level of the students in STEM areas. Under such a situation, developingclubs is crucial since it enables students to learn computer science in an enjoyable and secureenvironment. They also often serve as a gateway directly into

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Dylan Lester, Marshall University; Pingping Zhu, Marshall University; Husnu Saner Narman, Marshall University; Ammar Alzarrad, Marshall University

Engineering at Marshall University. Previously a post-doctoral fellow at Clemson University, his research interests include distributed computing, cyber-physical systems, machine learning applications, social networks, and advanced learning technologies. He has secured around $3.5 million in funding as PI or Co-PI and has over 60 peer-reviewed publications. Dr. Narman has received several awards, including the Weisberg Service Award, Academy of Distinguished Teachers Award, and Marshall University Distinguished Artists and Scholars Junior Category Award.Ammar Alzarrad, Marshall University Dr. Alzarrad is an Assistant Professor in the Department of Civil Engineering at Marshall University. He graduated with dual bachelor’s

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Mathew Allen, Marshall University; Ben Taylor, Marshall University; Pingping Zhu, Marshall University; Preston K Sellards, Marshall University

. Whiletraditional drone control methods, such as joysticks and remote controllers, have been effective,they often lack the flexibility and ease of use required for a seamless user experience, especiallyin changing or complex environments. As drones become more integrated into sectors, such assearch and rescue, entertainment, and human-computer interaction, the need for more accessibleand responsive control mechanisms has become more apparent. In particular, the ability to controldrones through natural human gestures presents a promising solution to enhance user interactionand improve operational efficiency. Recent advancements in computer vision and machine learning have opened new possibilitiesfor gesture-based control systems. By using a drone’s

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Roberto Andre Mossi, Gannon University; Ramakrishnan Sundaram, Gannon University

. Graphics 5.4.4 Unreal Used for creating a graphic Is able to handle complex computing and Engine visualization of the entities high performantWorld GenerationFor this case it was obvious that the entities will require to have a world where they can navigate to. With that on mindat the beginning I thought about doing a generic static world where they could run around freely and learn how to playthe game by themselves. But It came to me that at some point they might be very good at playing the game but with nomore room of growth then the world they taught themselves in constantly. So for this to be solved I knew that I wouldhave required to make new worlds at some point so they can

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Aiman S Kuzmar, Islamic University of Madinah, Saudi Arabia

Engaging Undergraduate Students in Solving Real Roadway Problems at the Campus of the Islamic University of MadinahAbstract:Undergraduate research is an excellent teaching tool in engineering education. Service learningis another beneficial educational technique in engineering. A brief introduction on bothundergraduate research and service learning is presented along with a summary of their benefits.This paper is on combining these two tactics in a senior highway engineering course in the civilengineering curriculum at the Islamic University of Madinah.The CE 3742 undergraduate Highway Engineering course at the Islamic University of Madinahhad a mandatory research component in its proceedings in the span of the past ten years

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Rick Hill, University of Detroit Mercy; Vanessa Burrows, University of Detroit Mercy; Linda Slowik PhD

Tagged Topics

Diversity

emulating these successful examples isthat their implementation can be costly and resource intensive.Over the past three years, a team at University of Detroit Mercy has initiated the Science &Engineering Equity Development (SEED) scholars program with 30 engineering and computerscience students. This pilot program has leveraged existing on-campus resources and externalindustrial partners to implement a range of high-impact practices in a financially sustainablemanner. Preliminary outcomes have shown promising results in that 87% of SEED programparticipants have been retained to engineering and computer science one year after entry toDetroit Mercy compared to a rate of 63% for our comparison group. Furthermore, SEEDprogram participants have

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Benjamin Lubina, Gannon University; Ramakrishnan Sundaram, Gannon University

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Paper ID #49582Advancing WiFi-based Imaging: An Approach for Real-Time Object Detectionand ClassificationBenjamin Lubina, Gannon University Benjamin Lubina is an MBA student and Cybersecurity Graduate at Gannon University. He founded and ran the school Cyber Defense Club for 3 years, competed in challenges and competitions, and published several papers in the fields of machine learning and sensor interpretation. He has 5+ years of experience with software development, cyber risk assurance, and data analysis.Dr. Ramakrishnan Sundaram, Gannon University Dr. Sundaram is a Professor in the Electrical and Computer Engineering

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Sudipta Chowdhury, Marshall University; Ammar Alzarrad, Marshall University; Sungmin Youn, University of Texas at El Paso

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Diversity

as OR spectrum, Computers and Operations Research, International Journal of Disaster Risk Reduction, Sustainable Cities and Society, Applied Soft Computing, Mathematics, and IEEE systems.Ammar Alzarrad, Marshall University Dr. Alzarrad is an Assistant Professor in the Department of Civil Engineering at Marshall University. He graduated with dual bachelor’s degrees in Civil Engineering and Business Administration from the University of South Alabama. He received his M.Sc. and Ph.D. in Civil Engineering from The University of Alabama. Before assuming his current position, he was an Assistant Professor in the Department of Civil Engineering and Construction at Bradley University. Prior to joining academia, Dr. Alzarrad

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Kastriot Palokaj, Eastern Michigan University; Justin Barnet Brock, Eastern Michigan University; Elizabeth Selby, Eastern Michigan University; Mussa Geyre, Eastern Michigan University; Ethan Victor Harper, Eastern Michigan University; Nicholas B Cote, Eastern Michigan University; John Losee, Eastern Michigan University; Daoud Sidibe Sambimana, Eastern Michigan University; Qin Hu, Eastern Michigan University

Paper ID #49537Slow Moving Vehicle Automation Through an Affordable RetrofitKastriot Palokaj, Eastern Michigan University Kastriot Palokaj is an electric engineering senior student at Eastern Michigan University. He has experience with computer vision as well as computerized devices used to improve daily life of people with disabilities.Justin Barnet Brock, Eastern Michigan UniversityElizabeth Selby, Eastern Michigan UniversityMussa Geyre, Eastern Michigan UniversityEthan Victor Harper, Eastern Michigan UniversityNicholas B Cote, Eastern Michigan UniversityJohn Losee, Eastern Michigan UniversityDaoud Sidibe Sambimana, Eastern

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Aniruddha Maiti; Samuel Adewumi; TEMESGEN ALEMAYEHU TIKURE; Zichun Wang; Niladri Sengupta; Anastasiia Sukhanova, Marshall Community & Technical College; Ananya Jana, Marshall University

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Diversity

public use and modification.It also applies reinforcement learning to improve logical reasoning.Some key features of DeepSeek R1 are as follows: • Reinforcement Learning-Based Training: The model improves its reasoning ability through reinforcement learning [5]. • Open-Source Access: Multiple versions, including DeepSeek R1-Zero and smaller distilled models, are available. • Lower Computational Cost: It performs at a level similar to OpenAI’s o1-1217 but requires fewer resources. • Community Involvement: The open-source nature allows AI researchers to modify and build on the model. • Benchmark Performance: The DeepSeek R1 technical report shows its competitive perfor- mance on standard reasoning and text

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Susie Huggins, West Virginia University; Robin A.M. Hensel, West Virginia University; Manar Yamany, West Virginia University; Lizzie Santiago, West Virginia University; Akua B. Oppong-Anane, West Virginia University; Atheer Almasri, West Virginia University; Todd R Hamrick, West Virginia University; Carter Hulcher, West Virginia University

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Paper ID #49533EngineerFEST: Building Community and Engagement Among First-Year EngineeringStudentsMs. Susie Huggins, West Virginia University Huggins currently works for the Fundamentals of Engineering program at West Virginia University. She is working on her PhD in Education a lifelong dream. Huggins is an advocate of STEM learning in the K-12 arena as well as a proponent of after school programing to help build the workforce of the Technological Revolution. She is particularly interested in Appalachian kindergarten teachers’ perceptions of STEM.Dr. Robin A.M. Hensel, West Virginia University Robin A. M. Hensel, Ed.D., is

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Fatma Outay, College of Technological Innovation, Zayed University; Haroon Malik, Marshall University

Paper ID #49755WhatsPhish: WhatsApp AI Phishing Detector ChatbotDr. Fatma Outay, College of Technological Innovation, Zayed UniversityHaroon M, Marshall University ©American Society for Engineering Education, 2025 WhatsPhish: AI Powered WhatsApp Phishing Detector Chatbot Muna Abdulla Ahmed Abdelrahman1, Hasa Mohammed Abdulla Alblooshi1, Awatef Adel Ali Ibrahim1, Fatma Outay1, Haroon Malik2 1 Zayed University, Dubai, UAE 2 College of Engineering and Computer Sciences

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Omar Ahmed Raheem Al-Shebeeb, West Virginia University; Austin Harper; Ahmed Shoyeb Raihan, West Virginia University

Evaluation, CAD Toolpath Simulation, Advanced Manufacturing Technologies,Operator Training Optimization1. Research Objectives and ScopesThis paper served as a vehicle to prepare students for working with smart manufacturing technologiesusing three exercises to support their learning. These exercises aimed to develop student’s proficiencywith creating butt, tee, and lap joints using the Miller MobileArc™ AR Welding System. Students alsoused computer aided design (CAD) software, Fusion360, to generate a plasma cutter toolpath for partdesigns provided through eCampus. Once the data for AR welding and plasma cutting tool paths wascollected, a computational analysis was performed to evaluate energy consumption, material depositionrate, and deposited

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Shuyu Wang, The Ohio State University; Rachel Louis Kajfez, The Ohio State University

learning outcomes. There areboth overlapping and differing areas of emphasis among these studies. Notably, team-basedskills and communication skills have been addressed in multiple studies [7], [12], [14], [29],[32], [35], [39]. Furthermore, some studies have also considered systems thinking, criticalthinking, empathy, metacognition, and intercultural competencies [7], [31], [40], [44].Team-based skills are one of the competencies that have been mentioned, and the integrationof team-based learning is the most used approach in the identified literature. Despite of thevariation of student groups participating in these transdisciplinary courses, most of the studiesfound in literature applied team-based learning in their projects [12], [14], [29], [32

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Jarod Max Banzon, Marshall University; Mohammed Ferdjallah, Marshall University

Paper ID #49516Random Walk Modeling and Simulation Analysis of Coal Fly Ash CompoundsSettling in West VirginiaJarod Max Banzon, Marshall UniversityMohammed Ferdjallah, Marshall University Dr. Mohammed Ferdjallah is an Assistant Professor in the Department of Computer Science & Electrical Engineering at Marshall University. Dr. Mohammed Ferdjallah received his PhD degree in Electrical and Computer and MS degree in Biomedical Engineering from The University of Texas Austin. He also received his MD degree from the International University of the Health Sciences. He has a multidisciplinary expertise in image & signal