2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Utilizing Artificial Intelligence in Instigating a Research Project Shohana Iffat Civil Engineering Technology Farmingdale State College (SUNY) Farmingdale, NY, USA Email: iffats@farmingdale.edu Abstract— In today's world, artificial intelligence (AI) is being and Tesla Autopilot. AI can serve as a tool to quickly review autilized
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Project Team Bonding: Approaches, Activities, Analysis, and Advice Hugh L. McManus & B. Kris Jaeger-Helton Department of Mechanical and Industrial Engineering Northeastern University Boston, MA h.mcmanus@northeastern.edu Abstract—Capstone project teams of 4-5 students participated correlated student-designed
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Developing a Sustainable Engineering Mindset Through Heliostat Activities in Project-Based Learning Bala Maheswaran Meghna Sridhar Yiannis Levendis Hameed Metghalchi Electrical and Computer College of Engineering Mechanical and Industrial Mechanical and Industrial Engineering and FYE Northeastern University Engineering Engineering Northeastern University Northeastern University
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. A Student’s View on the Role of Project Based Learning in Engineering Technology Education: A Review Samuel Servati PS. Dhanasekaran Department of Mechanical Engineering Department of Mechanical Engineering Technology State University of New York Technology (SUNY Canton), Canton, NY USA. State University of New York (SUNY Canton), Serva101@canton.edu Canton, NY USA. dhanasekaran@canton.edu
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Atom local environment student research project using Synchrotron X-Ray absorption with training based on open access databases for materials science Mashtura Rahman[1], Shivansh Sharma[1], Michael Ventourat[1], Julianne Torreno[1], Nealesh Guha[1], David Lee[1], Alec Kisselev[1], Tak Choi David Cheung[1], Sunil Dehipawala[1], Harsha Rajapakse[2] [1]Physics Department, Queensborough Community College Bayside, NY 11364 [2]Chemistry Department Medgar Evers College of CUNY Brooklyn, NY 11225 Abstract—This Atom local environment using Synchrotron X- Cyle in life
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. The Impact of Social Media and Technology onEmpowering Saudi Women Entrepreneurs in NationalSocial Projects: Analytical Research in Accordance to the Saudi 2030 Vision Noha Alharbi Peter Cavanaugh Department of Technology Management, Department of Technology Management, School of Engineering School of Engineering University of Bridgeport University of Bridgeport
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Technology Management in the Age of AI Evaluating the Impact of AI on Graduate-Level Project Management and Process Improvement Courses Peter F. Cavanaugh Department of Technology Management University of Bridgeport Bridgeport, CT USA pcava@bridgeport.edu Abstract— Technology changes in general and Artificial
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Evaluation Report of Project Achieve: Fostering Hispanic Achievement in Computer Science and Engineering with Affinity Research Group Model Navarun Gupta, Deana DiLuggo, Junling Hu, Theresa Bruckerhoff Abhilasha Tiberwal, Ahmed Elsayed VP and Principal Evaluator University of Bridgeport Curriculum Research and Evaluation, Inc. Bridgeport, CT, USA Chaplin, CT, USA navarung@bridgeport.edu, ddiluggo@bridgeport.edu
entropy formula has been accepted project to substantiate students’ interest on Generative AIas a calculation to measure the amount of information in a should contain a “safe” research component with guaranteedrandom trial. The recent success of Generative AI diffusion new results and exploratory research without guarantee of anymodel of text to image technology offers much inspiration new results. We have identified the use of entropy as a researchfor STEM students to learn about random processes in tool in student projects. The Shannon entropy formula hasresearch projects beyond the regular classes in a been accepted as a calculation to measure the amount
] called it The Battle for the Soul ofeach of these five courses, students in different American Business, where he referred to the financialdisciplines and backgrounds work together on team projects executives as “bean counters” and referred to the engineers asrelated to course material. These multidisciplinary teams “car guys” [4]. In this comparison, he makes the distinctionexperience real-world between those who value profits and cost cutting with those who prioritize design and innovation. The result was a big loss
and creating a Additionally, high school students often have busy schedulesgeographical map of bike distribution to add more challenges. We that make it difficult to carve out time for extracurricularalso worked on web scraping projects for gaming to make learning activities. I realized that for the club to be successful, it neededfun. Our club invited professors and engineers to host seminars, to provide clear value and excitement to prospective members.providing research insights and inspiring members. I also led my Students had to see programming and AI as more than just anclub members in carrying out AI research activities and academic pursuit, but as a fun and engaging way to build
experiences of engineering designis inspired by a search for synergy between multimodal design students, and could also inform future studies related tocapacities (e.g. anthropometry, anatomy, and material creativity and learning.properties) and KEEN (Kern Entrepreneurial EngineeringNetwork), a learning resource program designed to foster Keywords: design; creativity; golden section; senior designcreative thinking in engineering. projects; human factors; ergonomics The KEEN Program’s resource, Integrated E-Learning I. INTRODUCTIONModule: Thinking Creatively to Drive
included AI- providing multiple means of engagement, representation, andintegrated homework assignments, the use of AI in brainstorm-ing, sourcing, and writing for group projects, leveraging AI to test expression, catering to diverse learning styles and abilities [6].student knowledge through interactive questioning and feedback, In this course, AI tools were integrated not only into individualand utilizing AI as an interview preparation tool. assignments but also into group projects, brainstorming ses- Pre- and post-semester surveys assessed changes in students’ sions, and feedback mechanisms. These interventions aimed toperceptions and utilization of AI tools, revealing increased con- help
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Learning Through Logic: An Educational Digital Guessing Game with LED FeedbackSteven Bercik1, Mehmet Furkan Baylan1, Ansa Brew-Smith1, Don Heiman1, Bala Maheswaran2, Haridas Kumarakuru1 1 Department of Physics, 2Department of Electrical and Computer Engineering Northeastern University, Boston, MA 02115 USA Abstract—This project introduces a digital guessing game, engaging, and fun, fostering an overall deeper understandingwhere player-1, the guesser, attempts to deduce a correct and appreciation of
Kevin.Balbuena@mail.Citytech.cuny.edu 2 Erick.Cabrera@mail.Citytech.cuny.edu Abstract—In response to the growing demand for efficient enterprise IoT market will expand at a compound annual growthwater management in agriculture, this research presents the rate (CAGR) of 19.4%, reaching $483 billion between 2022 anddevelopment of an Arduino-ESP32 based automated irrigation 2027 [1].system. The project integrates an Arduino microcontroller with anESP32 module to facilitate real-time data collection and control of Often described as machine-to-machine (M2M
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Unlock the Mystery: Puzzle Box Marlon Jost1,3, Umme Hani Bootwala1,2, Don Heiman1 and Haridas Kumuraku1 1 Department of Physics, 2Department of Chemical Engineering, 3Khoury College of Computer Science Northeastern University Boston, MA 02115 USA Abstract—This project develops an interactive are needed to power the chip, while the other legs are set to be anpuzzle box with an electronic locking mechanism to engage input or output
-corporate settings like schools, cannot actual user. We acknowledge that our system may not includeafford braille printers to accommodate the blind accessible input options for a blind user such as voice commandcommunity. Our team focused on this development gap to or a braille keyboard, as our proof of concept focuses entirelycreate a braille printer that would be affordable, compact, on the embossing element.and easy for personal use. Throughout this project, our team gained invaluable hands-on experience with various software and tools that
-followers), whilecontinuing to develop their ability to perform kinematic andkinetic calculations to analyze and design mechanical systems. Fig. 1. Comparison of trigonometric and vector approaches for analyzing a slider cranks kinematicsThe faculty within the department of Mechanical Engineering atas a function of the cranks angular position, 𝜃. Textbooks also software in their senior capstone project. Therefore, I use CREOteach students how to use graphical approaches, where velocity in this course for continuity, however other programs such aspolygons are sketched and measured using rulers and protractors SolidWorks or Inventor could be used as
creative solutions to real- professionals who possess not only technical expertise but alsoworld challenges. Teamwork is equally important, as engineers strong communication, problem-solving, and teamwork skills.often collaborate in multidisciplinary teams to achieve com- Employers seek candidates who can effectively collaboratewith AI systems, make informed decisions, and contribute AI tools enable engineering students to visualize and com-meaningfully to complex projects. municate ideas through images, diagrams, and models. At By integrating AI-powered learning tools into engineering Cornell University, students in the Fiber Science and Apparelcurricula
used to prepare students interested in disconnect between the students recruited in the DEI policyundergraduate research projects with online delivery modality in from students accepted in the Merit-based opportunity did nota community college setting. The AI based examples aimed to foster a single learning community in our experience.offer experiential experience in Machine Learning using Furthermore, our College Administration provides fullerdiscriminant analysis based on training statistics. A computer support for Excel and relatively less support for GPUvision module was developed to illustrate an application to the computers. In fact, our Physics Department updated ouranalysis of images of
]. mechanical engineering students utilize AI tools in their learning. The surveys, conducted at the end of fall semester, This simple study examines the utilization of AI tools by include a series of statements related to AI usage in learningstudents in their coursework for Heat Transfer and Finite the materials, doing homework and projects, conductingElement Analysis, seeking to understand how these research, etc. The survey allows students to indicate their leveltechnologies are being employed to support learning and of agreement or frequency of use on a structured scale. Byproblem-solving. The study was conducted using surveys
@my.bridgeport.edu jjhu@bridgeport.edu Abstract—The advent of electric vertical takeoff and carbon fiber composite body. The innovative design includeslanding (eVTOL) aircraft presents a transformative using the bottom frame as the landing gear and a race caropportunity in urban air mobility. With reference to Jetson One, inspired safety cell to protect the pilot [5].this project aimed to design a multi-rotor lightweight chassis frame Chassis is the central frame of a vehicle, carrying all theand body structure for one passenger eVTOL to enhance its
amcadams@bridgeport.eduAbstract— The integration of Artificial Intelligence (AI) Keywords—artificial intelligence; industry 5.0; automotiveinto engineering design presents a transformative engineering; design optimization; business strategy; educationopportunity to optimize processes, enhance outcomes, and and trainingreduce costs. This paper examines the application of AIthrough a design project from within the automotive I. INTRODUCTIONindustry, focusing on a “blank sheet” design approach for amanifold system. Utilizing AI, the project aims to not only In today’s rapidly evolving technological landscape, the
Computer Engineering Department of Electrical and Computer Engineering University of Bridgeport, Bridgeport, CT 06604 University of Bridgeport, Bridgeport, CT 06604 aelsayed@bridgeport.edu navarung@bridgeport.edu Abstract—Wildfires are increasingly destructive natural This paper aims to harness the capabilities of Convolutionaldisasters, exacerbated by climate change and human activities, Neural Networks (CNNs) for wildfire detection by integratingposing significant risks to ecosystems, human life, and satellite imagery and drone surveillance data. By leveraginginfrastructure. This project leverages
splints can be caused by improper gait.professional tools and everyday users. This project takes a steptoward making foot health technology more accessible, ensuring itis available to a broader audience. Around 10% of runners experience Achilles tendinopathy, with a lifetime risk of 50%. This injury is characterized by Introduction pain, swelling, and impaired function during walking.There are 26 bones, 33 joints and more than 100 muscles External risk factors include over training and trainingand tendons in the ankle and foot. With every step, the arch
-MACHINE SYSTEMS COURSE AND ROLE OF AI Along with the assignment write-up, students were asked tooutline the advantages and drawbacks of using AI for such A. HMS Course Profileacademic work. Of the 56 respondents, there were 115 open-ended responses indicating the merits of using Gen AI for this Human-Machine Systems (HMS) is a 5-credit senior-leveltype of project and 121 responses outlining the less effective and engineering course at Northeastern University, with multipleconcerning aspects of its use. The primary categories of positive assignments and laboratory sessions over a 15-week semester.responses reflected how students felt AI benefited them in This course focuses on the science behind safe
). EEM students showed constraints (e.g., foreign keys).a marked improvement of +1.98, while DB students improved EEM Students' skills assessment focused on crafting AIby +0.97. The Magnitude in Improvement chart (Fig 1) prompts to compare digital/analog sensors in solar energyhighlighted this disparity, with EEM’s gain surpassing DB’s systems (e.g., “Propose a solar energy system design withacross all competencies except problem-solving (Q3: EEM voltage/current sensors”). Rubrics emphasize practical+0.10 vs. DB -0.44). Open-ended responses contextualized feasibility and integration of theoretical concepts. Qualitativefeedback from the EEM skills assessment showed that project
personalized project work that AI cannot easily replicate – toalternate explanation for a complex circuit analysis problem, ensure that grades truly reflect student learning.offer real-time feedback, and even generate custom practicequestions mimicking one-on-one tutoring [5]. Advanced Additionally, tools for AI detection are emerging, but theirmultimodal Gen AI models process and generate images and accuracy is uncertain, and they raise ethical questions (e.g.,animations to support diverse learning styles. This multimodal false accusations or invasion of privacy if student submissionsare sent to third-party detectors). Therefore, the consensus in necessary. If a tool is to be used responsibly
through the use of air filtrationshape and coloration. Such attributes could lead to better systems, humidifiers, heating and cooling systems, airlocks,identification of contaminants. Multiple methods for and specialized equipment for personnel, such as smocks andmeasurements would enhance robustness. One potential head and foot coverings [2]. In current good manufacturingalternative method would be to use optical lenses and a camera practice (CGMP) guidelines, the Food and Drugto capture images of airborne PM for analysis. The objective of Administration (FDA) recommends the use of cleanroomsour project was to explore and develop methodologies for based on the International
strengthenresearch and enrich the minds of educational institutions. through mobility and services, adds $300 billion to the global This project tries to predict future enrolling international economy and $39 billion to the U.S. GDP.students by tracking some indicators which range from demo- This paper focuses on the design of a data-driven decision-graphics to economic health, visa policies to geopolitics. Historical making tool that can provide insights and recommendations fortrends of GDP, the alteration of a visa rule, and country-specific educational policymakers. This tool will be able to forecaststudent economic crisis are adjusted in it. Grounded on the statistics from Open Doors: International