Collection

2025 Northeast Section Conference

Authors

Nusrat Zahan; Sidike Paheding

imagesaffect the performance of SR models, making it difficult to but also the extraction of valuable data, as discussed by Islamextract accurate information. Data augmentation is a key strategy et al. [3], indicating how much SR performance underwaterto address these issues, involving deliberate adjustments to a can be impacted by these distortions.dataset to improve its diversity. Such adjustments include imagerotation, flipping, s caling, b rightness, c ontrast, a nd saturation. Data augmentation (DA) has been proven as a successfulData augmentation plays a significant r ole, e specially i n deep solution to these challenges. In other words, data augmentationlearning applications with sparse training data

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2025 Northeast Section Conference

Authors

Eric P. Flynn; Arthur McAdams

connectionbetween material properties and machining techniques, and non-causal associations found in the text data it has been trained on.This data includes public technical literature, manuals,engineering guides, and other available information onmachining, materials science, and manufacturing processes.When presented with a specific task, such as machining NationalPipe Tapered (NPT) threads in aluminum, the LLM processesthe input query and uses its internal language and knowledgemodel to generate a response that is both contextually relevantand accurate based on its training. B. Optimization of Material and Design Machinability: Since the component will be CNC We are going to constrain the manifold to a

Collection

2025 Northeast Section Conference

Authors

Angela Gross; Victoria Christianson; Sally Dorer; Emaan Jivani; Mohak Kothari; Meghna Sridhar; Bala Maheswaran

many people who could benefit from them. To footedness, a BMI over 30, urban residence, and the use ofaddress these challenges, we developed SensoStep, a wearable, footwear in infancy. Age and gender also demonstrate someaffordable device designed to provide real-time data on foot association with older people and males being more at risk.pressure distribution and gait patterns, accessible to anyone. Diagnosis typically includes imaging tests done by aSensoStep uses force-sensing resistors embedded in a 3D-printedshoe insole to measure pressure at various points on the foot. This physician which can be time consuming and expensive. Flatinsole insert can be placed in any shoe. The

Collection

2025 Northeast Section Conference

Authors

Shashi Kiran Chandrappa; Sidike Paheding; Yu Cai Cai

analyzing code and nating extracted fields, aiding feature representation. The finalbehavior, identifying issues like session fixation and missing dataset reformat class labels as Normal and Anomaly to alignsecurity flags [8]. Despite their promise, LLMs face challenges with classification objectives. This approach enhances dataincluding interpretability and computational costs [9]. Hybrid structure, readability, and facilitates ML model training.methods combining LLMs with rule-based systems and loganalysis show potential for more reliable detection [10]. B. Ollama LLaMA (Large Language Model Meta AI) is a collection offoundation language models developed by Meta, ranging from Ollama is a versatile

Collection

2025 Northeast Section Conference

Authors

Seyedeh Elham Kamali; Reihaneh Samsami

), pp. 29-32. IEEE, 2023.4. Zhang, Ke, and Ayse Begum Aslan. "AI technologies for education: Recent research & future directions." Computers and Education: Artificial Intelligence 2 (2021): 100025.5. Pillay, Nelishia, B. T. Maharaj, and Gerdus van Eeden. "AI in engineering and computer science education in preparation for the 4th industrial revolution: A South African perspective." In 2018 World Engineering Education Forum-Global Engineering Deans Council (WEEF-GEDC), pp. 1-5. IEEE, 2018.6. How, Meng-Leong, and Wei Loong David Hung. "Educing AI- thinking in science, technology, engineering, arts, and mathematics (STEAM) education." Education Sciences 9, no. 3 (2019): 184.7. Qadir, Junaid

Collection

2025 Northeast Section Conference

Authors

Bushra Rayyan Qadri; Arthur McAdams; Peter Cavanaugh; Dan Tenney; Ali Baker

situation –operations, supply chain management, marketing and finance. regardless of cost, legacy, optics, etc.The school participates in many local competitions,conferences and career fairs which provide students with B. Professor Tenneycountless opportunities to grow. The school also hascollaborations with local industries, local family-owned Several business projects from the local community werebusinesses and contacts on the corporate level, which adds to brought into the classroom in 2024 and early 2025. They havethe overall expertise of the department and as a result, that of led to the following student, faculty, and business observations.the students

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut; Vraj Patel; Tina Huey

, while a more substantial portion (55%)remains a barrier to widespread adoption. Concerns over described their knowledge as intermediate to advanced. 37%student over-reliance on AI, data privacy, and the opacity of reported a basic level of familiarity with AI tools. Remarkably,algorithmic decision-making contribute to hesitation among 5% of the instructors reported having no knowledge in AIeducators [8], [3]. To foster trust in AI, scholars emphasize tools.the need for greater transparency, professional developmentinitiatives for educators, and robust institutional policies that B. Frequency of AI Tool Usagesafeguard academic integrity [5], [3]. The frequency of AI tool

Collection

2025 Northeast Section Conference

Authors

Mina Gaber Wahba Ibrahim; Xingguo Xiong; Navarun Gupta; Ahmed El-Sayed

power source. Wi-Fi Communication Initial attempts conducted using B. Baseline Sensor ReadingsMQTT and TCP/IP for data transmission were unsuccessful due Before conducting fire experiments, baseline readings wereto compatibility issues and error with the Arduino Uno R4 recorded to establish normal environmental conditions. TheWiFi. HTTP POST implemented were ultimately used to following average values were observed in a controlledtransmit data to the Raspberry Pi Flask server. environment without smoke or fire. The results are as follows: Sensor Calibration the SEN55 sensor required a warm-up Using Uno R4 WiFi board with external pull up resistors thatperiod

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

Mohamed Elwakil; Tooran Emami Ph. D.

EEM cohort emphasizedapplied engineering (e.g., energy systems, machinery, etc.). Thisdisciplinary contrast allowed a comparative analysis of learningoutcomes in technical versus interdisciplinary contexts. Fig 1. Magnitude in Improvement in Both Course IV. FINDINGS This section presents a detailed overview of the study’s B. Skills Assessmentsquantitative and qualitative results, highlighting how the We used discipline-specific tasks to evaluate appliedintervention differentially affected technical proficiency, proficiency. DB students were asked to craft normalized SQLperceived skill development, and overall

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut; Christina Smith, University of Connecticut; Faiyhaa-Sydra Saulat, University of Connecticut

fields: Towards a system and change perspective,”enhance learning experiences, it should complement—not re- ArXiv.org, 2024. [Online]. Available: https://arxiv.org/abs/2410.12795 [7] D. H. Jonassen, “Everyday problem solving in engineering: Lessonsplace—critical thinking, creativity, and interpersonal skills. for engineering educators,” Journal of Engineering Education, vol. 95,Overdependence on AI-generated solutions may hinder stu- no. 2, pp. 139–151, 2006.dents’ ability to develop independent problem-solving and [8] L. Liu, A. Ali, and B. Ojeme, “A framework for diversifying the artificial

Collection

2025 Northeast Section Conference

Authors

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

Critical Thinking, Digital Literacy, and [1]. It requires clarity and logical reasoning [3]. Cybersecurity Awareness Amid a rapidly changing digital environment, individuals B. Historical Foundations of Critical Thinkingmust function effectively, make informed decisions, and Foundations of critical thinking trace back to Socraticdefend themselves against emerging threats. Blurred work-life questioning, Platonic dialectics, Aristotelian logic, and Johnboundaries, constant digital engagement, and the psychological Dewey’s advocacy for inquiry-based learning, which hestrain of social media contribute to growing mental fatigue. viewed as essential to fostering informed

Collection

2025 Northeast Section Conference

Authors

David Lee; Mashtura Rahman; Shivansh Sharma; Michael Ventourat; Julianne Torreno; Nealesh Guha; Tak Choi David Cheung; Guozheng An; Sunil Dehipawala; Lexi Robinson; Harsh Rajapakse

-edgefeatures can be isolated. background By doing so, thisbackground edge was subtracted from the original pre-edge,leaving only the isolated pre-edge. Then intensity of pre-edge Fig 3: Pre-edge background removal. A- Original data, B- Fitted function to main absorption edge. Fig 1: Typical X ray absorption spectrum of iron containingsample. Fig.4: Background subtracted and normalized pre-edge features of iron oxide, soil, spinach and parsley. Fig. 2: X-ray absorption near edge

Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

, and include protocols for evaluatingsystems is accompanied by a spectrum of risks. The paper the effectiveness of these approaches.highlights several areas of concern, including the potential foralgorithmic bias, the misuse of AI for generating misleading orplagiarized content, and vulnerabilities related to data privacy B. Open Educational Practices (OEP)and cybersecurity. These issues are particularly relevant in Open Educational Resources (OER) are defined aseducational environments where the misuse of AI-generated learning, teaching, and research materials that are free tocontent can compromise academic integrity, and where access, reuse

Collection

2025 Northeast Section Conference

Authors

PS. Dhanasekaran

privacyconcerns. As AI increasingly enhances students' learning, time feedback, and intelligent administrative support.these innovations may overshadow critical ethical issues. AI-supported classrooms have been found to improveTeachers play a crucial role in ensuring that AI is used engagement and student achievement compared toethically in education, and their training needs to be traditional methods. Computer-based education is set tocomprehensive in addressing these concerns. AI transforms become an integral part of the 21st century, with AIeducation by focusing on students' needs and aiding playing a crucial role in this transformation. It is essentialeducators in developing personalized

Collection

2025 Northeast Section Conference

Authors

Gowtham Raj Vuppari; Navarun Gupta; Ahmed El-Sayed; Xingguo Xiong

UAV and satellite-based surveillance can also learning approach integrating Vision Transformers and RNNshelp to follow wildfires in real-time, therefore enhancing the for wildfire spread prediction," Applied Intelligence, vol. 54,effectiveness of emergency response. no. 7, pp. 1291-1305, 2021.Including multi-spectral, infrared, and night-time images in the [7] Roy, B., Singh, K., and Gupta, A., "A real-time wildfireWildfire Dataset will improve the model's capacity to identify detection system using Transformer-based deep learningfires under diverse circumstances. Synthetic data augmentation models," Sensors and Actuators A: Physical, vol. 314, p.methods are also capable of resolving class

Collection

2025 Northeast Section Conference

Authors

Uma Balaji

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Hands-On, Practice-Oriented Approach to Teaching Communication Systems Uma Balaji Electrical and Biomedical Engineering Fairfield University Fairfield, CT ubalaji@fairfield.edu Abstract— A Communication Systems course, offered as a engagement, a practice-oriented approach is essential,major elective for Electrical Engineering students

Collection

2025 Northeast Section Conference

Authors

Krystyna Gielo-Perczak; Gina DiGiacomo

currently a disparity between certain The HR/E design challenge results, and a review of thecomponents of HF/E education and the practical skills needed to related coursework materials, suggests that students will bettersuccessfully influence design ideas in industry. Most HF/E degree understand difficult concepts when they are presented in a visualproject requirements are purely analytical and systematic, and interactive way versus a classic textual representation. Thisleaving little room for creative thinking, which is a critical aspect insight, integrated into the KEEN e-module to inspire creativity,of ergonomic design innovation and research. This investigation could enhance the learning

Collection

2025 Northeast Section Conference

Authors

Marvin Gayle; Danny Mangra

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Enhancing Engineering Curricula Through Laboratory-based Learning: Pedagogical Approaches, Challenges, and Innovations Marvin Gayle, Danny Mangra Queensborough Community College The City University of New York [CUNY] Queens New York, USA Abstract—Laboratory-based instruction is a critical underscore ways to evaluate the effect of laboratory education oncomponent of engineering education. It

Collection

2025 Northeast Section Conference

Authors

Marlon Jost; Umme Hani Bootwala; Don Heiman; Haridas Kumuraku

of the relevant logical gate [4].young learners in logical problem-solving. The box featuresa series of switches and LEDs, and the user must find the II. DESIGNcorrect combination of flipped switches to activate all the This section details our key design choices, and the coreLEDs and unlock the box. A custom logic circuit, using components as listed in Table 1. Some concept art of the finalAND and NOT gates, encourages iterative problem-solving. product is shown on Fig. 1.Concealed within the box, this innovative circuit adds anunexpected level of challenge that is more than one may A. Logic Circuitinitially expect. The box is designed to provide hands-on

Collection

2025 Northeast Section Conference

Authors

Shinae Jang P.E.

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Enhancing Professionalism Education in Sophomore Engineering through Active Learning Shinae Jang School of Civil and Environmental Engineering University of Connecticut Storrs, United States Shinae.jang@uconn.edu Abstract—Professionalism education is a critical component This gap leaves students with limited opportunities to developof engineering curricula to

Collection

2025 Northeast Section Conference

Authors

Karissa Tilbury; Mohamad Musavi; Cary James; Alex Friess

Karissa.tilbury@maine.edu Cary James Alex Friess Department of Mechanical Engineering Department of Mechanical Engineering University of Maine University of Maine Orono, ME Orono, ME Cary.james@maine.edu Wilhelm.friess@maine.edu Abstract The NSF S-STEM grant is a funding opportunity torecruit, retain, and promote low income (Pell-grant eligible), I. INTRODUCTIONhigh-performing

Collection

2025 Northeast Section Conference

Authors

Haneen Alzahrani; Arthur C. McAdams

amcadams@bridgeport.edu I. INTRODUCTIONAbstract: Innovation, the process by which new ideas are Discussions continue about whether creativity is genetic, talent,generated, is at the heart of human progress, changing how we a symptom of a mental disorder, or shaped by environment andcreate, solve problems, and express ourselves. New products,refined processes, or artistic advancements—creativity is an society. Creativity spans fields such as art, medicine,essential part of this evolution. Creativity generates new ideas, and engineering, technology, and

Collection

2025 Northeast Section Conference

Authors

Elizabeth O'Connell; Sarath Chandra Kumar Jagupilla; Muhammad Hajj

and Ocean Engineering Abstract— As college costs increase, students and their compared to the 2023-2024 academic year. During a 30-yearfamilies are under increasing pressure to find supplements to period, the tuition and fee price for full-time students athelp cover undergraduate education costs. This study examines private nonprofit four-year institutions has risen from $24,840the impact of department-level communications on securing in 1994-1995 to its current level, presenting a 74.5% increasemore external scholarships to undergraduate engineeringstudents. It further analyzes the number of external scholarships

Collection

2025 Northeast Section Conference

Authors

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

Duclos, Gusteau College of Engineering and Information Science DeVry University New York, NY gduclos@devry.eduAbstract— Generative AI is a transformative branch of artificial existing training data. Large Language Models (LLMs), suchintelligence capable of creating new content, including text, as OpenAI's GPT series, power generative AI by identifyingimages, music, and code. While it offers significant