Collection

2025 ASEE Annual Conference & Exposition

Authors

Taylor Mone Smith, University of Texas at Austin; Earl W. Huff Jr., University of Texas at Austin; Hansika Murugu, University of Maryland, College Park

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Computing and Information Technology Division (CIT)

based on homework assignments, weekly reflection journal entries,and a semester-long group project. The group project tasked students with practicing the human-centered design process to create a technological solution for an accessibility challenge of theirchoice. The project included several milestones: 1. team formation and initial topic proposal, 2.detailed project proposal submission, 3. two project check-ins with the instructor, 4. a midtermprogress report, 5. a 20-minute final presentation, 6. a completed artifact, and 7. a comprehensivefinal report. Peer evaluations were also conducted, allowing team members to assess oneanother’s contributions to the project.3. Research Study To gain a deeper understanding of how students

Conference Session

Computing and Information Technology Division (CIT) Technical Session 10

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nikunja Swain, South Carolina State University; Biswajit Biswal, South Carolina State University; Janmejay Mohanty, South Carolina State University

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Diversity

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Computing and Information Technology Division (CIT)

technology – Information Technology Fundaments (A Digital Badge Course) • IT project management – Project Management Fundamentals (A 3.5 hr Digital Badge Course) • User expérience design – User expérience Design Fundamentals (A Digital Badge Course) • Web development – Web Development Fundamentals (A Digital Badge Course)The Educator Category (https://skillsbuild.org/college-educators) provides educators with courseand other learning resources access to help the students meet the demands of the workforce ofthe future.The Organizations Category (https://skillsbuild.org/organizations-supporting-adult-learners)provides client access to digital training, project-based learning, and professional credentials,designed to help

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Iftekhar Ibne Basith, Sam Houston State University; Syed Hasib Akhter Faruqui, Sam Houston State University; Michael Tyler Johnson-Moore, Sam Houston State University

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Computing and Information Technology Division (CIT)

Engineering Education, 2025 WIP: Experimentation in control and communication methods for neuron-based adaptable robotics Michael Johnson-Moore, Syed Hasib Akhter Faruqui and Iftekhar Ibne Basith Department of Engineering Technology, Sam Houston State University, Huntsville, TXABSTRACTThis paper discusses the partial development of a modular robotic arm built around a physicalbidirectional tree-like architecture inspired by artificial neural network (ANN), intended for use inexperimentation with control and communication methods. This project when completed willprovide students with foundation and experience in developing modular robotics and ANNcontroller with the long-tern goal of developing smart prostheses

Conference Session

Computing and Information Technology Division (CIT) Technical Session 9

Collection

2025 ASEE Annual Conference & Exposition

Authors

Brendan Jacobs, The University of New England; Solina Quinton, University of Waterloo; Rania Al-Hammoud, University of Waterloo

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Computing and Information Technology Division (CIT)

time in Australia working on The SILO Project, an integrative STEM education resource for primary students. Solina has continued this work to focus on the Ontario curriculum, and her goal is to continue to connect with and further inspire students’ interest in STEM learning.Dr. Rania Al-Hammoud, University of Waterloo Rania Al-Hammoud is an associate professor teaching stream and the current associate chair of undergraduate studies at the civil & environmental engineering department at university of waterloo. Dr. Al-Hammoud has a civil engineering background with research focusing on materials and the rehabilitation of reinforced concrete structures. She also has passion for engineering education and has

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Derin Cayir, Florida International University; Mark Allen Weiss, Florida International University; Selcuk Uluagac, Florida International University

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Diversity

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Computing and Information Technology Division (CIT)

challenges. This paper introduces asecurity class on IoT which is designed and taught at Florida International University, Miami,Florida, USA with the goal to address this gap by integrating hands-on projects that enable bothgraduate and undergraduate students to help them practice security concepts on real devices intangible manners. This approach effectively helps bridge theoretical knowledge with practicalapplications. By implementing a bonus-based teaching approach, we aim to enhance learningoutcomes. We also evaluate the course’s effectiveness through student surveys conducted overfour years, which indicate significant improvements in student expertise and satisfaction with thecourse content and bonus activities. We share our lessons and

Conference Session

Computing and Information Technology Division (CIT) Technical Session 8

Collection

2025 ASEE Annual Conference & Exposition

Authors

Danushka Bandara, Fairfield University; Djedjiga Belfadel, Fairfield University

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Computing and Information Technology Division (CIT)

-solving. While these tools hold potential to enhance learning,they also pose significant challenges to academic integrity and the validity of traditional assessments.This study explores the redesign of assessments to address these challenges, focusing on scaffolded,multimodal, and real-time formats. Drawing from a graduate-level course in Machine Learning, theresearch examines student perceptions of traditional and redesigned assessments, their engagementlevels, and the role of GenAI. A mixed-methods approach, combining quantitative and qualitative data,was employed to analyze feedback from 12 students as a preliminary study. Results indicate thatredesigned assessments, particularly scaffolded projects, are more engaging and effective in

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jungsoo Lim, California State University, Los Angeles; Yilin Feng, California State University, Los Angeles; Babak Khollesi, East Los Angeles College, Monterey Park; Eun-young Kang, California State University, Los Angeles

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Computing and Information Technology Division (CIT)

interventions in the Fall of 2023, and we are now in the secondyear of the project. Most interventions have been rolled out, including pathways, articulation updates,course alignment for CS1, and community building. Since the implementation, we’ve seen a slightincrease in the number of transfer students from ELAC. Upon full implementation, we aim to see not onlya meaningful increase in computing transfer students from ELAC and other community colleges but alsoimproved post-transfer student success rates in the sequence courses at CSULA. The paper will presenttracked transfer rates, academic performance data in early programming courses, and a comparison ofoutcomes before and after implementing interventions.In parallel, our research aims to assess 1

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriel Eduardo Prieto, Florida International University; Neila Bennamane, Florida International University; Agoritsa Polyzou, Florida International University; Peter J Clarke, Florida International University

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Computing and Information Technology Division (CIT)

Paper ID #47018Exploring Collaborative Success of Undergraduate Students within a CyberlearningEnvironment Using GamificationMr. Gabriel Eduardo Prieto, Florida International University Gabriel E. Prieto received his BS in Computer Science from Florida International University (FIU) in 2022, and MS degree in Data Science & Artificial Intelligence from FIU in 2024. He is currently the lead iOS developer on an NIH-funded project and anticipates joining a startup company that will leverage the technology developed through this project.Neila Bennamane, Florida International University Neila has a Bachelors of Science in

Conference Session

Computing and Information Technology Division (CIT) Technical Session 8

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bing Wang, University of Connecticut; Suining He, University of Connecticut; Chuanrong Zhang, University of Connecticut; Abdul-Wassay Queeshi, University of Connecticut; Weidong Li, University of Connecticut; Sanguthevar Rajasekaran, University of Connecticut; Wei Wei, University of Connecticut; Elizabeth Howard, University of Connecticut

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Computing and Information Technology Division (CIT)

Science from the University of Massachusetts, Amherst in 2006. His research interests are computer networking, statistical analysis, performance evaluation, and machine learning.Dr. Elizabeth Howard, University of Connecticut Liz Howard is a Professor in the Department of Curriculum and Instruction at the University of Connecticut. Her research focuses on dual language education, and she has served as the PI or Co-Investigator of several large-scale projects exploring language and literacy outcomes, the development of sociocultural competence, effective program features, and teacher preparation in this context. She has also served as a senior advisor or external evaluator on a number of federally funded grants

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2025 ASEE Annual Conference & Exposition

Authors

Udayan Das, Saint Mary's College of California

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Computing and Information Technology Division (CIT)

instructor reflects this as demonstrated by student performance on a linkedlist implementation assignment as well as an unbalanced binary search tree implementation assignment. Bothassignments showed improved performance; and quicker submission times with more than half students turningin the unbalanced binary search tree assignment before the deadline. Finally, more students chose animplementation project as their final project, between the choice of completing an implementation project or aproject studying a data structure not covered in the course, than have typically done in the past. On this lastpoint, I will share experiences with the breakdown of students opting for one or the other from many semestersteaching data structures across several

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mudasser Fraz Wyne, National University; Alireza Farahani, National University; Lu Zhang, National University

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Computing and Information Technology Division (CIT)

students to tackle complex projects, often involving interdisciplinary applications infields such as medicine, finance, and environmental science. Graduate students also exploreinnovation and entrepreneurship, examining how AI can disrupt industries and create new businessmodels.Integrating AI into Computer Science (CS) and Information Systems (IS) programs enhancesstudent engagement, proficiency learning outcomes, and career readiness and prepares students toleverage AI responsibly and effectively in the global job market. This paper identifies key AI topicsand proposes how they can be seamlessly integrated into undergraduate and graduate curricula tooptimize learning and achieve critical educational outcomes.Keywords: Artificial Intelligence

Conference Session

Computing and Information Technology Division (CIT) Technical Session 8

Collection

2025 ASEE Annual Conference & Exposition

Authors

Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile; Marco Aguilera; Martin Ignacio Gil; Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile; Danilo Leal, Universidad Andres Bello; Claudia Bascur, Universidad Andres Bello, Santiago, Chile

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Computing and Information Technology Division (CIT)

the fundamentals of industrial processes at the School of Engineering, UNAB. She currently coordinates the Educational and Academic Innovation Unit at the School of Engineering (UNAB). She is engaged in continuing teacher training in active learning methodologies at the three campuses of the School of Engineering (Concepci´on, Vi˜na del Mar, and Santiago, Chile). She authored several manuscripts in the science education area, joined several research projects, participated in international conferences with oral presentations and keynote lectures, and served as a referee for journals, funding institutions, and associations.Ing. Danilo Leal, Universidad Andres Bello PhD in Statistics, Master in industrial engineering

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Caroline Crockett, University of Virginia

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Computing and Information Technology Division (CIT)

, autoencoder, fully connected layer, and validation data.The groups then rotate and draw a picture for their new concept. After one more rotation, studentsprepare to explain their new concept to the class, using only the information from the previousgroups. Once all groups present (1 minute each), the class discusses what made some definitionsand visualizations easier to understand and takeaways for their final project presentations.Perhaps the most surprising topics we cover in the intro ML are sparsity and dictionaries. Dictio-nary learning is mathematically advanced and even the general denoising problem is non-trivial foran arbitrary dictionary. However, the underlying concepts are attainable for early undergraduatestudents and the math is simple

Conference Session

Computing and Information Technology Division (CIT) Technical Session 8

Collection

2025 ASEE Annual Conference & Exposition

Authors

Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile; Matias Isaac Vargas

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Diversity

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Computing and Information Technology Division (CIT)

outcomes. For instance, Park's study highlights the importanceof structuring authentic learning tasks that encourage peer interactions, which can significantlyinfluence student engagement and performance. However, it is important to note that this studydid not find a direct relationship between behavioral interactions and performance scores. Itsuggests that peer interactions are beneficial but may not always correlate with improvedacademic outcomes[1]. This aligns with findings from Zen et al., who emphasize that project-based learning methodologies can enhance student engagement and academic achievement inonline settings[2]. Such insights are crucial for developing an effective OOP course that meetsthe varied needs of engineering

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alireza Kavianpour, DeVry University, Ontario,CA

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Computing and Information Technology Division (CIT)

projects, by providing alternate viewpoints and that will increaseteam’s performance.5- As a new freshman Student, by asking many primitive questions from the instructor. As theresult instructor will be more prepared for the harder questions from other students.6- As a Simulator in which students can practice their project presentations.7- As a Flashcard for practicing and preparing for exam.8- For collecting Feedback regarding lectures or course.9- As a Student Advisor, by providing teaching plan, submitting course incomplete applicationform, registration, course progress, pre-requisite requirement, etc.Creating these nine options requires several best practices to ensure that they are effective,ethical, and user friendly. You can also use

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nestor L. Osorio, Northern Illinois University; Abul K. M. Azad, Northern Illinois University

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Computing and Information Technology Division (CIT)

. Professor Azad has secured significant support for research and development projects and has published around 140 technical papers and five edited books. He holds leadership roles in various professional organizations and manages editorial responsibilities for several technical journals. Additionally, he reviews proposals for funding agencies in the US, Europe, and Australia and is actively involved in standardization initiatives for mobile robotics, the Internet of Things (IoT), and learning engineering. He has also served as a program evaluator for the Accreditation Board for Engineering and Technology (ABET). ©American Society for Engineering Education, 2025 An Examination of the

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Meghan Allen, University of British Columbia

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Computing and Information Technology Division (CIT)

my research. My experiencesbring a particular lens to this work. Others who had similar research goals may have broughtdifferent perspectives to the work or constructed different meaning from the study. I use thefirst-person in this paper to acknowledge that this research project is tightly related to who I am asa researcher.My theoretical perspective is interpretivism. I believe that interpretations are “contextuallydependent on the history and culture that influences how each individual interprets and makesmeaning of their world” [15, p. 1173]. Therefore, I recognize that each individual whoparticipates in an interaction or observes an action or event may come to their own interpretationand understanding.3 Literature ReviewTechnical

Conference Session

Computing and Information Technology Division (CIT) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Utsab Khakurel, Howard University; Danda B Rawat, Howard University

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Diversity

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Computing and Information Technology Division (CIT)

, accountability, and assurance; and 5) Finally, the ‘Experiential’module integrates these concepts through hands-on projects. This modular approach ensuresaccessibility to students from diverse backgrounds, allowing seamless integration into one ormultiple courses.2.1 ObjectivesThe primary goal of the interactive laboratories is to provide hands-on experience in key areas ofmachine learning and cybersecurity while introducing students to emerging researchdirections.The core objectives of these experiment-based labs are as follows: 1. Engage students in hands-on experiments to foster interest and active participation in the design, analysis, and research of AI and cybersecurity applications. 2. Develop, implement, and assess strategies for AI

Conference Session

Computing and Information Technology Division (CIT) Technical Session 10

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abdulmalek Al-Gahmi, Weber State University

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Diversity

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Computing and Information Technology Division (CIT)

-college information, student information systems(SIS), and Learning Management Systems (LMS).This paper concludes a research project focused on the sole use of Learning Management System(LMS) data for identifying struggling students. While we recognize the importance of other datasources, there are three main reasons for concentrating on LMS data in this project.First, Learning Management Systems are ubiquitous and widely used by higher-educationinstitutions across colleges and disciplines, to the point of becoming a standard component ofclassroom technology [15]. They provide a convenient and effective way to deliver learningmaterials to students.Second, although studies suggest that LMS platforms are underutilized [14], they remain centralto

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, State University of New York - Farmingdale; Alyssa Xiang

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Diversity

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Computing and Information Technology Division (CIT)

Workforce Supply and Demand Report by the U.S.Cybersecurity Workforce Data Initiative of the U.S Government (published in May of 2024) showsthat the cybersecurity workforce currently ranges between 164,000 and 3,492,000 workers out ofan estimated total of 161,052,000 workers in the United States [6]. Nationwide, the report by U.S.Bureau of Labor Statistics on Information Security Analyst (ISA) job category indicates a 33%projected percent increase in the employment from 2023 to 2033 while the average growth rate forall occupations is 4%. The expected employment increase from the year 2022 to 2033 is 59,100jobs [7]. As the number of employment opportunities increases, the university offerings ofcybersecurity related programs also increase therefore

Conference Session

Computing and Information Technology Division (CIT) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mengyuan Liu, Northeastern University; Jeongkyu Lee, Northeastern University

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Computing and Information Technology Division (CIT)

evident through his teaching of various computer science courses, ranging from data structures to advanced database systems. He founded the Multimedia Information Group Lab at San Jose (MIG Lab@SJ), which drives research in medical image analysis, SQL auto-grading, and enhancement of prediction models for ServoSphere projects. ©American Society for Engineering Education, 2025 [Work-In-Progress] An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI ScanAbstractMagnetic resonance imaging (MRI) enables non-invasive, high-resolution analysis of musclestructures. However, automated segmentation remains limited by high

Conference Session

Computing and Information Technology Division (CIT) Technical Session 10

Collection

2025 ASEE Annual Conference & Exposition

Authors

Donggil Song, Texas A&M University; ANNE LIPPERT, Prairie View A&M University

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Computing and Information Technology Division (CIT)

[8] within a regular course setting. Noexperimental treatment was applied in the research.Context and ParticipantsParticipants were recruited from two sections of an engineering technology course offered at apublic university in the southern United States. The course focused on computer networking forengineers, and both sections were taught by the same instructor. Experiential learning activities,including problem-solving tasks, group projects, and discussions that required experience andreflection [9], were adopted into the course.ProcedureParticipants reviewed course materials, including content areas and subtopics, to prepare forwriting a selected topic essay (a summary of the topic). The topic selection was coordinated withresearchers

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

James Weichert, Virginia Polytechnic Institute and State University; Hoda Eldardiry, Virginia Polytechnic Institute and State University

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Computing and Information Technology Division (CIT)

), unsupervised learning (clustering, anomaly detection), and neural networks.The two lectures in the module were presented at the end of the semester, after the course’s finalexam but the week before students gave presentations on their course-long group projects. Thisscheduling had two advantages: (1) the module could draw on the entirety of the course’stechnical material, and (2) students could focus on the module instead of worrying about studyingfor their final exam. The module was led by the first author of this paper, who was the course’sgraduate teaching assistant and whose research focuses on AI ethics and policy education.ParticipantsAlthough three-fourths of the students enrolled in ML 1 were graduate students in computerscience, the course

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jason M. Keith, Iowa State University of Science and Technology; Amin Amirlatifi, Mississippi State University; Sudip Mittal, Mississippi State University; Subash Neupane, Mississippi State University; HIMANSHU TRIPATHI, Mississippi State University

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Diversity

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Computing and Information Technology Division (CIT)

applications, Ma et al. [10] developed a bot forsoftware engineering which allowed for coverage of additional course material while providingadditional teaching assistants (both artificial and in person) support. The human TAs were able tobetter support group projects since the bots were able to effectively manage lower-levelquestions in a consistent, rapid manner. However, Schroeder [11] points to issues with limitationsof the bots in answering only common questions. Alsafari [12] gives an outline of the advent ofLLMs as powerful tools for higher education including student services and as teachingassistants. They argue that these tools are best poised at this time to handle complex studentqueries, which is the focus of our current

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

hongbo zhang, Middle Tennessee State University; Reshma Rajan, Middle Tennessee State University

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Computing and Information Technology Division (CIT)

the embodied learningsuch as physical interaction and sensory engagement therefore to discover the effectiveness of theembodied learning strategy. Additionally, it is known that LLM is also able to offer uniquestrength in understanding the sentiment of learner’s comments on the videos 24 . The use of LLMis known able to achieve over 90% of accuracy for sentiment analysis 24 . LLM has also exhibitedstrong strength in sentiment analysis showing a strong generalization capabilities of the sentimentfor the underlying of the tasks 25 . As such, the use of LLM for both video summary and videocomments sentiment analysis is able to understand learner’s response to embodied roboticslearning.The project aims to understand the user engagement of videos

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Prarthona Paul, University of Toronto; Chirag Variawa, University of Toronto

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Computing and Information Technology Division (CIT)

and Me: Collaborative Creativity in a Group Brainstorming with Generative AI," in American Society of Engineering Education Conference, Portland, 2024.[24] E. Aref, "Team Dynamics And Conflict Resolution: Integrating Generative AI in Project- Based Learning to Support Student Performance Team Dynamics And Conflict Resolution: Integrating Gen AI in Project Based Learning to Support Students' Performance," in American Society for Engineering Education Conference, Portland, 2024.[25] R. Rottner, "Iterative Learning: Using AI-Bots in Negotiation Training," in American Society for Engineering Education Conference, Portland, 2024.

Conference Session

Computing and Information Technology Division (CIT) Technical Session 10

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rajendran Swamidurai, Alabama State University; Uma Kannan, Alabama State University

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Computing and Information Technology Division (CIT)

2022 and again in theSpring 2023 semesters. Information was gathered about the types of students, the courseworkthey had completed and were still working on, their persistence, their 21st-century skills, howthey thought the course went, and how ready they felt for a career.Project Objectives: Students were asked to indicate the extent to which they agreed with each ofthe following statements related to the project goals and objectives. Overall, responses werepositive with the overall scale averaging 4.03 in 2022 and 3.79 in 2023. Students most stronglybelieved that their experiences at ASU enhanced their problem-solving skills (M=4.25 in 2022and M=4.0 in 2023) and they became more competent in developing working solutions to defendcyberspace

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tyler Clark, SageFox Consulting Group ; Rebecca Zarch, SageFox Consulting Group; Mikaela Hurd

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Computing and Information Technology Division (CIT)

Paper ID #46267Bridging the Gap: Exploring Concurrent Enrollment in External Online CoursesAmong Computer Science StudentsDr. Tyler Clark, SageFox Consulting GroupRebecca Zarch, SageFox Consulting Group Rebecca Zarch is an evaluator and a director of SageFox Consulting Group. She has spent almost 20 years evaluating and researching STEM education projects from K-12 through graduate programs.Mikaela Hurd ©American Society for Engineering Education, 2025 Bridging the Gap: Exploring Concurrent Enrollment in External Online Courses Among Computer Science StudentsAbstractThis work-in-progress

Conference Session

Computing and Information Technology Division (CIT) Technical Session 9

Collection

2025 ASEE Annual Conference & Exposition

Authors

Marjan Asadinia, California State University, Northridge; Sherrene Bogle, Cal Poly Humboldt; Rowena Quinn

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Diversity

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Computing and Information Technology Division (CIT)

before segueing into the construction of several classificationmodels for mental health metric prediction. This will be followed by the evaluation of our modelsin Section 4 before we conclude our work in Section 5. We will then finish with our planned futurework to improve our project in Section 6.2 Related WorksMachine learning and its applications within the field of mental health is currently a popular topicin research, with many works revolving around integration into diagnosis frameworks [9]. Crisisintervention is a large part of the field as well, with recent work showing that machine learninghas been valuable in clinical practice for caseload management and ameliorating risk [10]. Currentwork in the field of mental health with applied

Conference Session

Computing and Information Technology Division (CIT) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yug Patel, Missouri University of Science and Technology; Sanjana Shangle, University of Texas at Dallas; Asir Abrar, Missouri University of Science and Technology; Venkata Sriram Siddhardh Nadendla, Missouri University of Science and Technology; K Krishnamurthy, Missouri University of Science and Technology

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Computing and Information Technology Division (CIT)

Paper ID #49221BOARD #110: WIP: A Reconfigurable Testbed for Assessing Cognitive Workloadin N-back and Multi-Object Tracking TasksYug Patel, Missouri University of Science and Technology Yug Patel is an undergraduate student in Computer Science at the Missouri University of Science and Technology (MST). Yug has conducted research in both the Department of Computer Science and in the Department of Biology at MST, exploring the intersection of these fields through interdisciplinary projects. As a previous NSF-REU intern, Yug has gained valuable research experience and a deeper understanding of the applications of computer