Collection

2025 Northeast Section Conference

Authors

Sailesh Adhikari; Navarun Gupta; Xingguo Xiong; Ahmed El-Sayed

Transformer (ViT) models forsatellite imagery-based wildfire identification. In comparison toconventional Convolutional Neural Networks (CNNs), ViT modelsare trained to detect early indications of wildfires with betteraccuracy and generalization using publicly accessible NASAsatellite image datasets. The project involves setting up theenvironment, preparing and preprocessing a wildfire dataset, andtraining a ViT model using PyTorch Library. The trained model isevaluated on test data to assess its accuracy and reliability.Additionally, attention maps are visualized to interpret the model’s Fig1: Wildfire.decision-making process. Results demonstrate the potential ofViT models in capturing complex patterns in satellite images

Collection

2025 Northeast Section Conference

Authors

Zebin Pepin; Douglas E. Dow

, concerts, and other large-crowd adaptability to real-time conditions. As event venues continueevents often experience long queues that contribute to visitor to increase in scale and complexity, a more sophisticateddissatisfaction. This dissatisfaction arises not only from extended automated queue management solution is required towait times but also from inaccurate wait-time estimates and dynamically adjust queue regulation and improve fairness.perceived line-cutting incidents. This project aimed to developand test prototype modules for an automated queuing system Numerous strategies have been implemented over theleveraging facial recognition to address these concerns. The years to manage

Collection

2025 Northeast Section Conference

Authors

Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz

C. Data CollectionEmma will try to minimize it. The traversal continues until it The study was a part of a larger initiative at a public K-8reaches a maximum depth or the game ends. Subsequently, the school located in a mid-sized city in the Northeast USA,algorithm evaluates the game state and returns a score based on involving five different projects, each with the objective ofwhether Emma won, lost, or tied. The score propagates back introducing AI concepts to students in an engaging exhibitionup the tree and guides Emma's decision on the best move. [34][35]. The students participating in this project were 1st,According to Fig. 4, it

Collection

2025 Northeast Section Conference

Authors

Safeena Khanam

. between the optimized approach, which provides clear and detailed answers, and the regular flow, where queries are directly IV. ARCHITECTURE OF PROJECT fed to the LLM. The below Fig. 1. Architecture and data flow are key TABLE 1. TEST QUERIESelements of the project. The sole goal is to maintain optimizedflow and feed relevant context to the pre-trained model from theknowledge graph and weigh in its relevance using memorycoefficient. Fig. 1. Architecture of Code The above TABLE 1. compares optimized

Collection

2025 Northeast Section Conference

Authors

Abdullah Al Hossain Newaz; Zheng Li

. TAA design, to closely resemble natural ankle biomechanicsMaking a prosthesis that fits people of all sizes, performs well, makes it unique. Better range of motion, less strain on nearbyand has a greater success rate with fewer failures is the aim. tissues, and flexibility to meet changing patient needs are allThe first step in the project is creating a computer-aided design made possible by its superior anatomical design, modularity,(CAD) model of a prosthetic ankle that functions and appears and longevity.[2] The increasing prevalence of ankle arthritislike a natural joint. The model will be examined using Finite emphasizes the necessity for effective and flexible remedies.Element Analysis (FEA) to determine how

Collection

2025 Northeast Section Conference

Authors

Rudra Mitra; Intiser Islam; Shariar Islam Saimon; Xingguo Xiong

-effect structure of the X-ray features classifying pneumonia with a recorded validation accuracy ofwith patient attributes (age, smoking history, and so on). A 87.92% and a loss of 0.2767 over three epochs of training.modality reconstruction module can use Structural Causal Models Therefore, while the model shows promise for diagnosis, the(SCMs) and Variational Autoencoders (VAEs) to predict the wider research vision, as already described in the proposal, willmissing data, so the features are realistic. These available and try to factor in the missing modalities using causal graphs andreconstructed modalities are combined and projected into a joint multilayer reconstruction in two different models

Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

able to distribute copies of the software used in class, thereby OSS further enhances the learning environment by offering reinforcing the concept that learning is a collaborative process.real-world experiences. Students working on open-source This approach not only makes educational resources moreprojects are not limited to classroom boundaries. They learn accessible but also instills the value of cooperation amongnew technologies and professional skills by collaborating learners.within active communities. Such projects offer opportunities todevelop communication, teamwork, and problem-solving skills Moreover, the use of free software reinforces socialwhile building a public portfolio of

Collection

2025 Northeast Section Conference

Authors

Uma Balaji

and explanation of mathematical derivations and conceptualhands-on experience. Through this approach, students gain a frameworks. Additionally, MATLAB simulations anddeeper understanding of key concepts such as modulation, laboratory exercises are integrated to reinforce theoreticalbandwidth, demodulation, and noise while also exploring concepts through hands-on learning experiences. Usingcommunication system design. This paper outlines the use of MATLAB and Simulink, students engage in interactivelaboratory demonstrations, hands-on activities, MATLAB exercises that provide a visual understanding of key topics.simulations, and projects to create an immersive learning These

Collection

2025 Northeast Section Conference

Authors

Mohammad Rafiq Muqri; Simon Obeid; Gusteau Duclos, DeVry University

computing 1. Deep Seek R1 can create a graphic image for any project. Evaluation practice based on legal and ethical (Generate Images) principles. 2. Which of the following is not a key feature of DeepSeek-R1? (Evaluate AI tools) SLO#5: Function effectively as a N/A member or leader of a team Teamwork engaged in activities appropriate to the program’s discipline

Collection

2025 Northeast Section Conference

Authors

ZANNATUN NAYEEM; Tauhid Uddin Mahmood; Dan Tenney

impacts customer relationship opportunities, and wasted valuable information are the resultsmanagement with opportunities lost due to inaccurate of this disconnect. To maximize the potential of efforts drivencustomer information and ineffective personalization efforts. by data, companies need to have well-delineated keyInaccuracies within the data undermine the validity of performance metrics (KPIs) that are aligned with companypredictive analysis, causing companies to base their market strategies, obtain executive support, and embed analysis of theanalysis and financial projections on faulty assumptions. data into daily functions. In closing the gap between the two,Substandard data

Collection

2025 Northeast Section Conference

Authors

PS. Dhanasekaran

pertinent to primary and secondary include specific goals for using AI in areas such aseducation, higher education, and engineering fields. personalized learning or teacher professionalRegarding educational and technological equity, open- development [6].source approaches to software and hardware projects,which are already revolutionizing product development IV. CONCLUSION(and product development education) globally (such asProcessing, Wiring, Arduino), should be applied to AI- Computer-based education is set to become a vital partbased systems and solutions. Whether AI is involved in of the 21st century, with AI playing a key role in thisthe future of engineering education will

Collection

2025 Northeast Section Conference

Authors

Jorge Paricio Garcia; Paul Spirito

in theconstraints are balanced, and mental images are externalized initial responses gathered from three classes: Human Factorsthrough sketches, drawings, and models. These representations for Industrial Design, Senior Design Project, and Design ofhelp sort information and generate new ideas. The design Textile-Based Wearable Healthcare Devices. The evaluationprocess is solution-focused and goal-oriented, done in iterative criteria were based on the students' engagement and outcomescycles of trial and error to refine solutions. using various AI tools introduced during the academic year 2024-25. The assessment focused on

Collection

2025 Northeast Section Conference

Authors

Karissa Tilbury; Mohamad Musavi; Cary James; Alex Friess

students in STEM disciplines. UMaine launched The Bureau of Labor Statistics projects a 3.9% growth ratethe NSF S-STEM funded Building Bridges to Engineering of engineering professionals in the United States over the nextStudents (BBEST) a program in 2023 to serve students studying 8 years. Furthermore, engineers enjoy the second lowestin any of the 12-ABET accredited engineering programs. We unemployment rate (2.5%) of all occupations [1]. More locallyhave recruited two of our three student cohorts and have foundthat monthly professional development workshops are an in Maine

Collection

2025 Northeast Section Conference

Authors

Saddam Alkhamaiesh; Peter Cavanugh

assessments of training effectiveness and workforce demandindicates that preparing technicians for this transition requires projections are needed to refine educational strategies andtargeted training programs and collaboration between align them with industry developments [24].government agencies, educational institutions, and industrystakeholders [11]. However, existing literature highlights gaps In conclusion, the literature underscores the importance ofin understanding these training programs' effectiveness and structured and adaptive training programs for EV technicians.regional variations [12]. While the NEVI program provides a foundation for workforce

Collection

2025 Northeast Section Conference

Authors

Chushun Wang; A. Umit Coskun; Kai-tak Wan

. Upon completion,However, the principles also apply to industry and research the user may click the “RESTORE SCREEN” button below theapplications where design parameters are required for Moody diagram to clear the graph window and all fields.optimization or pipe material selection. The new graphical If a user wishes to save their data for any reason, at anymethod allows for visualization of a previously abstract stage after all text fields are fixed, enter a name for the dataconcept, the primary goal for this project is to make a computer

Collection

2025 Northeast Section Conference

Authors

Seyedeh Elham Kamali; Reihaneh Samsami

Students recognize the potential of AI to makeapplied more practically within their curriculum. learning more efficient, improve educationalSuggestions included integrating AI into hands-on experiences, and provide hands-on applications that aretraining with tools like Building Information Modeling relevant to their future careers. However, there are(BIM) and machine learning for smarter design, significant concerns about AI's potential to diminishconstruction, and project management. This indicates a critical engineering skills such as problem-solving anddesire for AI applications that are directly relevant to analytical thinking. There is a strong call from

Collection

2025 Northeast Section Conference

Authors

Marvin Gayle; Danny Mangra

enhances the learning students’ performance, retention, and understanding.experience by allowing students to connect theoretical knowledgewith practical applications. This paper examines laboratory- Keywords—Experiential education; Inquiry-based learning;based pedagogy and how it enhances the Accreditation Board for Teamwork and collaboration; Project-based assessments.Engineering and Technology [ABET] -accredited EngineeringTechnology programs at Queensborough Community College[QCC]. Laboratory-based instruction, as a method of pedagogy, I. INTRODUCTIONcan be utilized across multiple varying engineering curricula. Lab

Collection

2025 Northeast Section Conference

Authors

Habibul Huq; Chayne Howard; Luke Brown; Raqibul Haque; Douglas Muratori; Mohammed Feroz Shaik; Danushka Bandara; Soyong Byun

. II. METHODOLOGYBioacoustic monitoring is heavily used in conservation. [3]and [4] highlight the effectiveness of bioacoustic analysis in The audio data for this project is collected from zootracking endangered species. [5] demonstrated the impact of enclosures like Beardsley Zoo housing big cats like Amurenvironmental conditions on calling activity in the leopards and tigers, where 16 one-hour audio recordings areMountaintop Frog, showing how animal vocalization might captured daily between 4 PM and 8 AM, the period whenvary under different conditions [4], [5]. Manual analysis of vocalization activity is most prominent.vocalizations is time-consuming and requires expertise, ashighlighted by [4

Collection

2025 Northeast Section Conference

Authors

Glenda R.S. Giordani; Rachmadian Wulandana; Felipe S. Oliveira

B. Moisture Transporttransfer heat across its body. Materials with high thermalconductivity coefficients transfer large amounts of heat. This Moisture transport in materials refers to the movement ofcoefficient depends on the components, porosity, pore size and moisture through a material's structure, which can occur as liquidfeatures as well as water ratio of the material [5]. In this project, water, water vapor, or a combination of both. This phenomenonthe thermal conductivity (k) is calculated from the well-known is critical in influencing thermal performance and structuralformula that relates heat transfer in Watts, and temperature integrity

Collection

2025 Northeast Section Conference

Authors

Nadia Albishi; Peter Cavanaugh

educational reforms, and it has been shown that there are gapsKnowledge (TPACK) Framework’, ‘Transformational in the successful application of change management practices,Leadership Theory’, and lastly ‘Adult Learning Theories’. All notably during the implementation and further investigationof these theories also develop an alignment with the research phases of educational initiatives. Vision 2030, one of the mostquestions.recent projects, combines social and economic activities, with educators in dynamic cycles, and giving help and assets. Toeducation playing a crucial role [11]. summarize, there are extensive deterrents to the viable execution

Collection

2025 Northeast Section Conference

Authors

Karen Garza; Nhat Pham; Junling Hu

ceilinginfrastructure to provide data transmission, storage, and vents/ducts, and other combination designs [6-11].computation. The exponential growth of demand for computingpower driven by artificial intelligence and cloud computing hasled to substantial increase in the number and scale of data centersworldwide. The continuous operation of data centers under highload generates a lot of heat, which requires efficient coolingsystems to remove heat to prevent servers shutting down orsuffering damage. Data centers are one of the most energy-intensive building types, consuming 4.4% of the total U.S.electricity use in 2023 and 6.7% to 12% as projected by 2028[1]. The average data center cooling system consumes nearly40% of the total energy usage in

Collection

2025 Northeast Section Conference

Authors

Haneen Alzahrani; Arthur C. McAdams

generative art versus audience artists creating orways to do art. Historically, artists have used and incorporated curating art with artificial intelligence.technological advances to create new artworks, resulting in newforms of art [12]. What are the opportunities and dilemmas artificial intelligence bringing to art? Do generated artworks question the definitionPainting with oil colors, using photography, or projecting of art? What challenges and critiques can art generated withdigital images were once outlandish ideas that reshaped artificial intelligence bring? What is the future trajectory of

Collection

2025 Northeast Section Conference

Authors

Paul Cotae; Nian Zhang; Onyinye Obioha-Val

,” IGAPSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 409-412, doi:10.1109/IGARSS.2019.8897920.[6] Li, J; Du, Q; Li, Y; Li, W. Hyperspectral Image Classification with Imbalanced Data Based on Orthogonal Complement Subspace Projection. IEEE Trans.Geosci. Remote Sens. 2018, 56,3838-3851.[7] Sun,T.; Jiao, L.; Feng, J.; Liu, F.; Zhang, x. Imbalanced Hyperspectral Image Classification Based on Maximum Margin. IEEE Geosci. Remote Sens.Lett.2015,12,522-526.[8] X. Zheng, J. Jia, J. Chen, S.Guo, L. Sun, and Y. Wang, Hyperspectral Image classification with imbalanced data based on semi-supervised learning, “Applied Sciences, Vol. 12, no. 8, p.3943

Collection

2025 Northeast Section Conference

Authors

Yegin Genc; Gonca Altuger-Genc; Akin Tatoglu

learning goals and provide the context for applying the particular Based on the abovementioned criteria, we discuss a four-step concept.assessment approach integrated into a self-directed learningprocess with AI. These assessment processes can, in turn,regulate student AI interaction and maximize student outcomes. TABLE II. EXAMPLE - BERNOULLI EQUATION (MID-CAREERThe assessment steps can be identified as step 1-Assessing ENGINEER), AI INTERACTION:readiness to learn; step 2- Assessing the learning goals; step 3- Engineer: " working on a hydraulic system design project andAssessing the student

Collection

2025 Northeast Section Conference

Authors

Tariq A. Alshugran; Lina H. Kloub, University of Connecticut

greater transparency and customization opportu- Recent initiatives highlight attempts to create privacy- nities. Universities can deploy these models within controlledpreserving AI frameworks tailored to education. For in- environments, ensuring compliance with regulatory policies.stance, projects focusing on federated learning aim to de- However, maintaining and securing open-source implemen-centralize AI model training, keeping sensitive student data tations requires significant technical expertise and resources,on local devices rather than sending it to external servers [5]. which may pose adoption challenges. Table II provides aAdditionally, open-source AI initiatives are gaining traction as

Collection

2025 Northeast Section Conference

Authors

Joseph P. Duszak; John F. Drazan; Cynthia A. Bautista

Knowledge This work was funded through the School of Engineering and Critical Thinking Skills in Code Blue Managementand Computing at Fairfield University and the Sapre Aude Among Undergraduate Nursing Students in Malaysia,”Fund. We would also like to thank the Egan School of Nursing Sage Open, vol. 11, no. 2, p. 21582440211007123, Apr.for their collaboration on this project. 2021, doi: 10.1177/21582440211007123. [12] M. Azizi, G. Ramezani, E. Karimi, A. A. Hayat, S. A. REFERENCES Faghihi, and M. H. Keshavarzi, “A comparison of the[1

Collection

2025 Northeast Section Conference

Authors

Gabriel Grant; Djedjiga Belfadel; David Haessig

to minimize steady-state error without introducing excessive The basement tuning methodology, developed by the oscillations or instability.UAV/software developer responsible for PIDtoolbox, was The final tuning parameter in the flight control PID loopemployed to fine-tune the flight control system's PID was the FeedForward gain, which handles the initiation andparameters. While the methodology was initially developed termination of movements based on stick commands. Thisfor indoor tuning, the tuning flights for this project were gain was also stepped from 0 to 200, and snap movements onconducted outdoors on private property in a controlled setting, each axis

Collection

2025 Northeast Section Conference

Authors

Teresa Piliouras; Steffi Crasto; Chinmay Dharap; Pui Lam Yu; Navarun Gupta

, making, while business training might prioritize and self-directed learning. Incorporating tools like AI- scenario-based leadership, risk assessment, and assisted personalized learning or experiential projects strategic thinking; bridges abstract concepts with practical significance. These approaches promote motivation and ownership o Public libraries, community centers, and online of learning while reinforcing the development of platforms can host free workshops on digital higher-order thinking skills vital in the modern world. literacy, critical thinking, and cybersecurity awareness to