Collection

2025 Northeast Section Conference

Authors

Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz

child's poster as shown in Fig. 1. This promotional tool capturedlearning progress by identifying areas where students students' curiosity and encouraged interaction. The study tookplace at a public K-8 school in an urban setting. Students ahead), and a sophisticated evaluation function that considersparticipated in different grade levels. We introduced the game multiple strategic factors, such as board control and positionalto all groups through a brief one to two minutes session using advantage. We chose the Minimax algorithm because it isthe trifold poster. This short introduction was designed to spark effective for deterministic, turn-based games

Collection

2025 Northeast Section Conference

Authors

Marvin Gayle; Danny Mangra

opportunities including external sources. These may includefields despite laboratory resource challenges. industry partnerships that offer financial support in the form of grants, or awards to help underfunded academic institutions. The high cost for new oscilloscopes, Vector Network This can offset improvements needed for supplies andAnalyzers, spectrometers, and 3D printers can be a laboratory apparatus. Government agencies, both federal andprohibitively expensive acquisition for most, at times beyond local, also offer funding through grants and other programs.the limit of the reduced budget allocation. However, the

Collection

2025 Northeast Section Conference

Authors

Nadia Albishi; Peter Cavanaugh

evidence of its impact on courses related to OPD on the teachers of high school in Sauditeaching practices and leadership effectiveness [25]. The already Arabia for contributing to the readiness of organizationalexisting literature also focuses on the involvement of several technology and digital literacy proficiency?localized outcomes, which can often limit the generalizability of H01: There is a presence of no significance within thethe overall findings that are beyond the cohort outcomes. There improved skills of digital literacy and OPD participation whileis also a requirement for

Collection

2025 Northeast Section Conference

Authors

Lakshmi Aishwarya Malladi; Navarun Gupta; Ahmed El-Sayed; Xingguo Xiong

. [8] He, K., et al. "Deep Residual Learning for Image Recognition." CVPR, V. CONCLUSIONS AND FUTURE RESEARCH 2016. [9] Simonyan, K., et al. "Very Deep Convolutional Networks for Large-Scale Image Recognition (VGG16)." ICLR, 2015.The study proved the efficacy of a VGG16-based deep learning [10] Redmon, J., et al. "YOLO: Real-Time Object Detection." CVPR, 2016.model for wildfire identification, attaining 97.5% accuracy on [11] Ren, S., et al. "Faster R-CNN: Towards Real-Time Object Detection withthe D-FIRE dataset. Through the use of data augmentation and Region

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut

to responsibly incorporate AI tools into theirteaching practices. tools, with increased confidence in ethical considerations and a Keywords: Artificial Intelligence, Education, AI Tools, greater appreciation for their role in learning and professionalUniversal Design for Learning, Responsible AI, Educational development. This paper discusses the methods, results, andFramework, Technology Integration, Student Learning implications of integrating AI tools into coursework through an inclusive and ethical lens, offering valuable insights for ed- I. I

Collection

2025 Northeast Section Conference

Authors

Lorenzo Govoni; Coleman Hayes; Colin Jennings; Mia Lattin; Saara Sheth; Meghna Sridhar; Bala Maheswaran

solenoid turning off.paper lengthwise, and a carriage to move across the paper’swidth. To control the stylus’ movement across the page, weemploy a sliding rail and belt system. To advance the paper, acushioned roller is used. Both of these mechanisms will beactuated by Nema-17 stepper motors paired with DRV8825drivers. This approach has been proven effective in 3D printers,so we adapted it to fit our needs. Our project is unique due tothe nature of embossing braille – the stylus needs to haveenough force to leave an indent in thick paper but not too muchas to tear through it. For this reason, we use a solenoid with anend stop to precisely indent the paper each time. The tip of thesolenoid has the stylus on it. This entire process is controlled by

Collection

2025 Northeast Section Conference

Authors

Srilekha Bandla; Mukesh Reddy Jonnala; Peiqiao Wu; Sarosh Patel; Xingguo Xiong

therapeutic modalities in a com-motion detection. The integration of these sensors enables precise pact, cost-effective system. The approach shows promise indifferentiation between seizure events and normal physical activ- providing more timely and effective intervention for epilepsyities through machine learning algorithms, addressing a critical patients, potentially reducing seizure duration and severity whilelimitation in existing seizure detection systems. improving quality of life. The system’s novel contribution lies in its automated dual- Keywords—Epilepsy detection, machine learning, seizuremode intervention approach. A machine learning algorithm prediction, Convolutional

Collection

2025 Northeast Section Conference

Authors

Dinh Cuong Nguyen; Dan Tenney

]. Governmentsmanufacturer expectations as measured by the growth ofmanufacturer EV inventory and less than desired sales rate. This worldwide are promoting EV adoption through policies suchstudy conducts a systematic literature review using the as subsidies, tax incentives, and infrastructureAntecedent-Decision-Outcome (ADO) framework to analyze development[3]. Additionally, technological innovations, suchhundreds of research articles. The review identifies key as advancements in battery technology, are making EVs morebehavioral drivers, decision-making processes, and adoption accessible and appealing to consumers [4]. Despite theseoutcomes, offering insights into the theoretical and contextual

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

I. INTRODUCTION Abstract— Generative artificial intelligence (Gen AI) usesalgorithms to create new content including images, computer In academia and beyond, AI-generated material is highlycode, audio, presentations, simulations, animations, and more. In accessible with a relatively low-sloped learning curve, makinga Human-Machine Systems Engineering (HMS) course, the use it readily available to those with electronic devices and internetof Gen AI was discussed, addressed, and integrated with connections. Many students in higher education are now usingintentionality. The full infusion process in the course was gradual Gen AI extensively to construct written reports, summaries,and measured

Collection

2025 Northeast Section Conference

Authors

Chushun Wang; Mohammad E. Taslim; Kai-tak Wan

experimental setup. The acousticlevitator with a 3-D printed base is equipped with the accessories Figure 2 Top view of a 0.08mL water droplet inof sonic transducers and control using an Arduino nano and a resonance modes 3-6 and the characteristic frequencies.signal generator to generate the standing acoustic wave alongthe loading axis. Two high-speed cameras equipped with macro Figure 3 shows the resonance of oil droplets. The oil dropletlenses monitor the top and side views of the levitated droplet, exhibits planar oscillations of bending and reverting to aand a pipette delivers the droplet with precise control of volume. spherical shape. However, no oscillation modes were observedfor frequencies beyond 180

Collection

2025 Northeast Section Conference

Authors

Alexander Puttre; Vinh V. Vu; Mark Walsh; Brian Wadell; Douglas E. Dow

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

Collection

2025 Northeast Section Conference

Authors

SUPARSHYA BABU SUKHAVASI; Susrutha Babu Sukhavasi; Mohammad Jaheerabi; Venkata Durga Sunanda Gangula

avoltages. In contrast, the Counter circuit demonstrates a sharp wide range of industries from consumer electronics to large-rise in power consumption, especially beyond 3V, suggesting scale computing systems.a significant dependence on voltage levels which can be REFERENCESobserved in the Figure 26 and Table 3. These trends highlight [1] T. Toffoli, “Reversible computing,” in Automata, Languages andthe differing power efficiency characteristics of each circuit, Programming, Springer, 1980, pp. 632–644.which should be considered in low-power applications. [2] K. Veezhinathan, V. P. Arunachalam, and P

Collection

2025 Northeast Section Conference

Authors

SUPARSHYA BABU SUKHAVASI; Thanu Sri Gandham; Susrutha Babu Sukhavasi; Meruva Veera Venkata Bhargav

(Serial-In Parallel-Out) advantage of the Peres gate is its seamless integration intoregisters implemented using D-Flipflops. This research quantum computing[5][7]. This capability makes it a crucialinvestigates the effects of technology scaling, particularly the component in fault-tolerant quantum circuits, paving the way32nm CMOS process, and concludes that replacing for scalable and advanced quantum processors that areconventional logic with reversible gates significantly essential for the future of computation.enhances circuit efficiency and reduces power dissipation. Beyond quantum applications, the Peres gate plays a vitalThe findings suggest that reversible logic is well-suited

Collection

2025 Northeast Section Conference

Authors

Jorge Paricio Garcia; Paul Spirito

simple materials, allowed for rapid testing and problem in a nonlinear way that optimizes a positive humanrefinement before committing to more complex development outcome.” [4]. Additionally, beyond being able to process vaststages. This physical and iterative process is mostly understood amounts of data and patterns, perfecting this think-slicing in aas a process that is “inexpensive and can be done relatively way that could mimic intuition. However, Angell highlights aquickly” [1]. crucial limitation: AI lacks the capacity for true empathy, which is an essential element in designing effective

Collection

2025 Northeast Section Conference

Authors

Christopher Brown; Sumith Yesudasan

, throughCOMSOL Multiphysics is not typically used to simulate large the heat source liner and into the thermocouples. Each of theand highly complex objects such as the MMRTG. Due to theintricate nature of the MMRTG and its systems, which heat distribution blocks is attached to a thermoelectricinvolves a combination of electrical and thermodynamic module [5]. In total the MMRTG contains 768 thermocouplesprinciples, the modeling of such systems is more specialized which are divided into sixteen 16 x 4 arrays. Theand often requires custom solutions beyond the capabilities of thermocouples' cold sides are maintained by contact with theCOMSOL’s physics modules

Collection

2025 Northeast Section Conference

Authors

Shruti Brahma, University of New Haven; Siddhant Alhat Rajendra, University of New Haven; Ardiana Sula, University of New Haven

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

Collection

2025 Northeast Section Conference

Authors

Rachmadian Wulandana

provide a detailed and communication among educators and also with students.view of how students interact with AI in their engineering And more importantly, many tools allow learning to expandeducation. Findings reveal that students do not yet extensively beyond classroom time and space [6]. Dou found out theuse AI tools in their studies, despite their potential to improve integration of ERNIE Bot 4.0 in teaching of English forlearning outcomes. Many students are either unfamiliar with the Specific Purposes course in (ESP) has improved the teachingcapabilities of tools like ChatGPT or hesitant to fully incorporate proficiency of freshmen from Civil and Architecture of Beijingthem into their learning

Collection

2025 Northeast Section Conference

Authors

Dinh Cuong Nguyen; Gregory Lovisolo; Dan Tenney

numeric and categorical features. Numeric features are passed through without any transformation, while categorical featuresA. Data Description are transformed using One Hot Encoder, which creates binary The dataset used in this study is the IBM Employee columns for each category in the feature. This ensures thatAttrition dataset, which contains various attributes related to categorical variables are converted into a suitable format foremployee demographics, job characteristics, and work model input.environment. The dataset is used to predict employee attrition,whether an employee

Collection

2025 Northeast Section Conference

Authors

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

demographics, skill levels, and workforce demands by• Active Learning Techniques: Cultivating critical addressing each environment’s unique challenges and thinking requires moving beyond passive instruction. opportunities. For example: Active learning strategies—such as debates, case studies, role-playing, and problem-based learning o In k-12 settings, critical thinking can be (PBL)—directly engage students in analytical integrated into curricula in developmentally processes. Debates encourage evaluation of opposing appropriate ways. Elementary students build viewpoints. Case studies place students in real-world reasoning skills through

Collection

2025 Northeast Section Conference

Authors

Nusrat Zahan; Sidike Paheding

, 2014, Revised Selected Papers, R EFERENCES Part IV 12, Springer, 2015, pp. 111–126. [1] Y. Wang, W. Yang, X. Chen, et al., “Sinsr: Diffusion- [13] H. Zhang, M. Cisse, Y. N. Dauphin, and D. Lopez-Paz, based image super-resolution in a single step,” in Pro- “Mixup: Beyond empirical risk minimization,” arXiv ceedings of the IEEE/CVF Conference on Computer Vi- preprint arXiv:1710.09412, 2017. sion and Pattern Recognition, 2024, pp. 25 796–25 805. [14] C. Dong, C. C. Loy, K. He, and X. Tang, “Image [2] A. Awad, N. Zahan, E. Lucas, T. C. Havens, S. Pa- super-resolution using deep

Collection

2025 Northeast Section Conference

Authors

Shashi Kiran Chandrappa; Sidike Paheding; Yu Cai Cai

tion session security,” in 2nd Smart Cities Symposiumdetection. (SCS 2019), 2019, pp. 1–4. DOI: 10.1049/cp.2019.0178. All experiments are run on an ollama model inference with [3] A. O. Salau, E. D. Emmanuel, A. Alemran, C. K. Dixit,NVIDIA RTX A6000 graphic card with a dedicated 48 GB and S. L. Braide, “Exploring large language models forGPU. natural language processing,” in 2024 Second Interna- tional Conference Computational and Characterization

Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

, repurpose, adapt, and redistribute under openinadequate understanding of AI’s underlying risks may lead to licenses. Over time, the focus has shifted from merely creatinga false sense of security. and sharing OER to implementing practices that promote collaboration between educators and learners. These practices, The integration of ChatGPT in academic curricula known as Open Educational Practices (OEP), emphasize thatnecessitates a rethinking of traditional teaching methods. real learning happens through the active use of open contentEducators are now tasked with not only leveraging AI to rather than by