Collection

2025 Northeast Section Conference

Authors

Basile Panoutsopoulos

. At the same time, we must ensurethat the student studies the material and develops critical andcreative thinking skills. “Students are early adopters and havebeen actively testing these tools,” says Johnny Chang, ateaching assistant at Stanford University pursuing a master’sdegree in computer science [4]. By learning how to use theavailable AI tools and resources, teachers can get theconfidence to navigate the challenges and seize theopportunities present and opening in this era [5].B. The Process The proposed approach lies around the central theme thatthe use of AI is welcomed and encouraged. The approach hasbeen tested twice and as with every active course, it willcontinue to be tested and refined this semester for the thirdtime. It

Collection

2025 Northeast Section Conference

Authors

Steven Bercik; Mehmet Furkan Baylan; Ansa Brew-Smith; Don Heiman; Bala Maheswaran; Haridas Kumarakuru

in which resistors were employed were thefor two matching inputs (0,0 or 1,1) and because the simplified user consoles, or switchboards, as displayed in Figs. 3 and 4.Boolean expressions were fully composed in terms of A̅ , B̅, C̅, Current-limiting resistors of 470 Ω were placed before purpleand D̅ (all LOW signals). Table 1 displays the truth table for LEDs, which would shine when their correspondingXOR gates, where A and B are inputs, and X is the output. pushbutton was pressed, acting as visual conformation of the players’ passcode/guess. A 1500 Ω resistor was also wired toC

Collection

2025 Northeast Section Conference

Authors

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

logic gates thatbit ripple counter and reversible shift registers. Specifically, we implement the following logic operations: (A, B, C). Aintend to design reversible SIPO (Serial-In Parallel-Out) and schematic representation of the Toffoli gate is shown inSISO (Serial-In Serial-Out) shift registers, critical for data Figure 1, where the input-output mapping is clearlymanipulation and storage in digital circuits. By proposing a demonstrated.systematic approach to the synthesis of reversible digitalcomponents, this study aims to contribute to the advancement ofsustainable, low-power computing technologies. Keywords—Reversible logic gates, energy-efficient circuits, flip-flops, ripple counter, shift registers

Collection

2025 Northeast Section Conference

Authors

Shashi Kiran Chandrappa, Fairfield University; Sidike Paheding, Fairfield University

for effective HSI classification by exploring and adaptability. Leveraging these strengths, we aim to addressboth standard and modified KAN approaches. Grounded in the the challenges of high dimensionality and complex structureKolmogorov-Arnold representation theorem, KANs provide a in HSI classification tasks.unique mathematical framework for adaptive function approxi-mation, capturing complex feature relationships with fewer archi- This study investigates the application of KAN Architecturetectural constraints. We evaluate KAN on benchmark datasets, with the activation function of B-Splines on popular HSIIndian Pines and Pavia University (PaviaU), analyzing the impact

Collection

2025 Northeast Section Conference

Authors

Shalini Jada; Xingguo Xiong; Ahmed El-Sayed; Navarun Gupta

non-technicalpowerful tools, offering a comprehensive view of affected users [17].areas and real-time monitoring capabilities [10]. Whencombined with advancements in artificial intelligence, these B. Comparison with Existing Methodstechnologies can revolutionize wildfire management [11]. Previous research has explored various AI-based wildfire detection methods, such as those using Sentinel-2 satellite imagery [2] and UAV-based multispectral imaging [4

Collection

2025 Northeast Section Conference

Authors

Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz

for children. The poster prominently featured and introduced the AIcharacters, Olivia, Emma, and Chris. This allowed the playersto familiarize themselves with the characters before diving into Fig. 2. Minimax decision tree illustrating the alternation between maximizerthe game. Each character had a unique identity and backstory. and minimizer nodes. Terminal nodes represent possible outcomes, withThis encouraged players to engage with them on a more decisions propagated upward to determine the optimal move.personal level. However, we intentionally omitted informationabout the characters' associated difficulty levels on the poster. B. Level of

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

-making product that cleans andobserve their projected effect on U.S. international student analyzes university data using Python libraries. Although ourenrollment. initial forecasts used ARIMA models, we are now transitioning The findings c an b e a pplied b y p olicymakers a nd recruiters to recurrent neural network (RNN) models to better captureto estimate economic returns, redistribute funding, or introduce complex, non-linear relationships.tax rebates. UNESCO can use the tool to organize programs andallocate funds for underrepresented regions. In the end, the tool The data driven

Collection

2025 Northeast Section Conference

Authors

Julianne Torreno; Nealesh Guha; Mashtura Rahman; Michael Ventouratos; David Lee; Shivansh Sharma; Sunil Dehipawala; Guozhen An; Tak Cheung

- skill learning projects, not necessarily student research projectsprogress. The classic 2015 publication had an illustration of which require new results. In any event, the skill learningadding noise to a ground-truth image, shown in Fig. 5 as B/W project students and research project students can be a singleimages of different noise levels [10]. learning community with faculty doing the organization. VI. DISCUSSION The faculty members aim to create a learning community

Collection

2025 Northeast Section Conference

Authors

Sunil Dehipawala; Guozhen An; Arkadiy Portnoy; Tak Cheung

ChatGPT.com at the bottom of theastronomy to physics accepted that emotion as a mental webpage. Please solve the following physics problem. Part A:construct is real, about 100 students in 5 classes in an An Atwood Machine with negligible mass for the pulley hadassessment. Maybe every student would still remember “going two vertical weights, 10 Newton on the right side and 70through puberty” as real. By the same token, inertia is real as a Newton on the left side. Find the acceleration. Part B: The 70mental construct for the effect of a constant forward speed after Newton weight was put on a smooth horizontal. Find thethe arrow leaves the bow. That is what the forward motion tells acceleration in this new

Collection

2025 Northeast Section Conference

Authors

Mashtura Rahman; Shivansh Sharma; Michael Ventourat; Julianne Torreno; Nealesh Guha; David Lee; Alec Kisselev; Tak Choi David Cheung; Sunil Dehipawala; Harsha Rajapakse

energydevice design in materials engineering and the study ofCarbonaccess database was found to be most beneficial in studentresearch. The results of Fe local environment study ofdifferent regions of a carrot plant indicate that the amount ofiron and immediate environment is different in differentregions. cFig1:X ray absorption near edge spectrum of iron oxide Fe2O3. Fig 2: X ray absorption near edge spectra of ( a)-carrot leaf ( b)- stem (c)- rootThe small absorption peak, as shown in Fig 1, before the mainabsorption edge is known as pre-edge

Collection

2025 Northeast Section Conference

Authors

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

the LED pulse circuit. The MCU GPIO Pin During operation, the program on the Arduino belongs to the Arduino.microcontroller controlled the MOSFET to pull currentthrough the LED. After waiting a brief period of time, focus, so it was ultimately not included in the final design.implemented using the Arduino’s delayMicrosecondsfunction, the current was switched off by applying a low B. Image Analysisvoltage to the gate. The Arduino then waited 2 seconds Image analysis was performed with ImageJ. Before anbefore beginning the process. By setting the delay to 10 µs, image could be analyzed, it was processed to

Collection

2025 Northeast Section Conference

Authors

ZANNATUN NAYEEM; Tauhid Uddin Mahmood; Dan Tenney

profitability. The researchpractical advice that can be implemented by organizations to underscores that firms utilizing predictive modellingimprove their capabilities of integrating data to ultimately lead experience improved financial performance andto better decisions and company performance. market adaptability. B. Research Methodology This research combines the lessons of these studies with case analysis to present a complete overview of best practice

Collection

2025 Northeast Section Conference

Authors

Alex Peebles

obtained on acceleration of points fixed on various pin-connected bodies,paper or using software such as MATLAB, directly addressing such as planar robotic arms, slider cranks, and four barour ABET performance indicator 1-B as mentioned above. mechanisms. They then move to analyzing the motion of points which translate on rotating bodies, such as a pin moving in a slot This paper describes efforts made by the author to improve or collar sliding on a shaft. Example problems include linearthe Analysis and Synthesis of Mechanisms course at the

Collection

2025 Northeast Section Conference

Authors

Noha Alharbi; Peter Cavanaugh

failures [40]. Cultural and gender biases further prevent II. LITERATURE SURVEY women from securing loans or financing [41].A. Obstacles Faced by Women Entrepreneurs B. Women Entrepreneurs and Technology Management (TM) Despite the opportunities to encourage women's entry into TM is the process of caring for technological techniquesthe labor market and their entrepreneurial work, many that can be used in various operating processes and activitieschallenges hinder their participation, most notably social within commercial and industrial institutions, making therestrictions that do not encourage women's economic company capable of

Collection

2025 Northeast Section Conference

Authors

Jorge Paricio Garcia; Paul Spirito

, but the front strap is noticeably missing on the shown concept,Fig. 4. AI-generated concepts for a body sensor sleeve, for 2-year-olds. “Fig. 7”.B. CPR forearm sleeve. Device to be worn in the arm and in part of the hand, to beused during CPR compressions on adults. The built-inaccelerometer helps users count compressions and maintaintempo, and the LEDs within the bracelet change colors to alertthe user to correct tempo and when to switch to breaths, “Fig.5”. A variety of AI tools were used to unsuccessfully obtain acredible solution when the hands are interlaced for CPRcompressions. Fig. 7. Horse sensor device, showing an original sketch, consecutive sketches

Collection

2025 Northeast Section Conference

Authors

Kristina Riesco; Yuna Ukawa; Pauline Alfreh; Eman Abdelfattah

the small sample size. The heatmap analysis further Fig. 10. Top 10 Country of Residence for Participants confirmed that there was almost no correlation between these variables and ASD, highlighting the challenges of drawingdefinitive conclusions from a dataset that is not large enough on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 2003-2011, 2022, Available: https://doi.org/10.1109/TNSRE.2022.3192431.to yield robust results. [7] B. Noris, M. Barker, J. Nadel, F. Hentsch, F

Collection

2025 Northeast Section Conference

Authors

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

itsets and hardens over time. This dual carbon-capturing effect—from both hemp and lime—makes hempcrete an effective long-Fig. 2. Cross-section of a cannabis stalk, showing its hollow core and inner Fig. 5. Pile of lime binderfibers (hemp hurd) on top, with the hemp stalk at the bottom. Approximately 4inches in length. B. Compositions of Hempcrete Samples This study examined hempcrete mixtures with a consistent hemp hurd amount while varying the binder composition and water

Collection

2025 Northeast Section Conference

Authors

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

the center with its weightsupported by the high-pressure antinode below. A modulatedfrequency is superimposed on the driving acoustics and isscanned over a range. At a threshold frequency, the levitateddroplet resonates depending on the fundamental fluid properties Figure 1. Experimental setupsuch as viscosity, surface tension, and size. Droplets of lowviscosity liquids (e.g. water) oscillate in the equatorial planeonly. The integral number of lobes observed is referred to as the B. Baseline behavior of fluid componentsmode number hereafter. The higher the mode number, the To establish the baseline behavior of pure liquid, 0.08 mLhigher the modulated frequency. Droplets of high-viscosity

Collection

2025 Northeast Section Conference

Authors

Christopher Brown; Sumith Yesudasan

and resilience of MMRTGs under relevant failed missions that utilized radioactive material as a powerconditions, with a focus on time-dependent shock load source. In the failed launch of the transit 5-BN-3application and structural response. navigational satellite the plutonium fuel onboard the satellite successfully dispersed itself into the atmosphere after the generator burned away on reentry [2]. The plutonium fuel ofthe nimbus B-1 weather satellite was able to be recovered approach that integrates electrical, thermodynamic, andand reused

Collection

2025 Northeast Section Conference

Authors

Peter F. Cavanaugh

aprocess, develop a process map and apply the concepts of value B. AI-Powered Risk Identification in Projectand waste to that process. The peer rating allows students to Managementsee how others have solved the problem and rate themselves Risk identification is a fundamental component ofrelative to their peers.) successful project execution. In this assignment, students would use AI-driven risk analysis tools to identify andF. Activity: Process Improvement of Paper Airplane categorize potential risks for a given project. They would then Manufacturing Process

Collection

2025 Northeast Section Conference

Authors

Kalyan Khatry; Reihaneh Samsami

aeducational utility. Fourier transform through equations, writing explanations, and representing visual graphs [6]. This is more engaging and In engineering education, this evolution means that AI is personalized, which ultimately improves learning outcomes.moving from a background analytic tool to a foregroundcreative partner in the learning process. For instance, whereprevious systems might have evaluated a student’s answer on a B. Personalized Assessment and Feedbackproblem set, Gen AI can now generate personalized hints, Traditional assessments often fail to capture thedetailed solutions, or

Collection

2025 Northeast Section Conference

Authors

Yegin Genc; Gonca Altuger-Genc; Akin Tatoglu

, the explanations for theto AI agents can include the details about the learning motivation foundational concepts can highlight their connections to controlto alter the instructional content dynamically. systems.TABLE III. EXAMPLE - LAPLACE TRANSFORM (STEM PROFESSIONAL), B. Case Study 2: Laplace Transform (STEM Professional) AI INTERACTION: In this case, we consider a mid-career professional studying STEM Professional: "I need a practical approach for signal processing Laplace Transforms for engineering applications focusing on applications

Collection

2025 Northeast Section Conference

Authors

Mamshad Musharaf Mohammed; Sumith Yesudasan

/jp5088493.[8] P. Mark and L. Nilsson, “Structure and Dynamics of the TIP3P, SPC, and SPC/E Water Models at 298 K,” J. Phys. Chem. A, vol. 105, no. 43, pp. 9954–9960, Nov. 2001, doi: 10.1021/jp003020w.[9] H. J. C. Berendsen, J. R. Grigera, and T. P. Straatsma, “The missing term in effective pair potentials,” J. Phys. Chem., vol. 91, no. 24, pp. 6269–6271, Nov. 1987, doi: 10.1021/j100308a038.[10]H. W. Horn et al., “Development of an improved four-site water model for biomolecular simulations: TIP4P-Ew,” The Journal of chemical physics, vol. 120, no. 20, pp. 9665–9678, 2004.[11]V. Molinero and E. B. Moore, “Water Modeled As an Intermediate Element between Carbon and Silicon,” J. Phys. Chem. B, vol. 113, no. 13, pp

Collection

2025 Northeast Section Conference

Authors

Navarun Gupta; Deana DiLuggo; Junling Hu; Abhilasha Tibrewal; Ahmed Elsayed; Theresa Bruckerhoff

B. Project Organizationthe New University of Bridgeport, describe ongoing outcomesand impacts with the overall goal of the project focusing on Project Achieve is developed around the Affinity Researchincreasing Hispanic students' retention, persistence and Group Model (ARG Model), a systematic research approachpreparedness as engineering and computer science majors, based on a set of practices built on a cooperative teamleading to increased degree attainment and future STEM

Collection

2025 Northeast Section Conference

Authors

Gabriel Grant; Djedjiga Belfadel; David Haessig

soldered onto the UART connections. Other peripherals, such as the video transmitter, Figure 8: All avionics mounted GPS module, and alarm beeper, were similarly attached to the flight controller (Figure 7,8). B. Step-by-Step Assembly Process and Challenges To ensure stable flight control even in adverse weather The assembly of the heavy-lift octocopter followed a conditions, all electronics were conformal coated before andsystematic process, beginning with the mounting of all eight after soldering (Figure 3). This

Collection

2025 Northeast Section Conference

Authors

Dinh Cuong Nguyen; Gregory Lovisolo; Dan Tenney

attrition using the IBM itself, without a clear understanding of how specific features,Employee Attrition dataset. The study will focus on Feature such as job satisfaction or work-life balance, influence theImportance, Partial Dependence Plots (PDPs), LIME (Local outcome. Therefore, the ability to not only predict but alsoInterpretable Model-agnostic Explanations), and Individual explain employee attrition is a significant gap in the existingConditional Expectation (ICE) to not only predict attrition but literature.also to explain the reasons behind these predictions. Byproviding clear explanations for predictions, this study aims to B. Machine Learning Explainability (MLX)offer HR professionals

Collection

2025 Northeast Section Conference

Authors

Nadia Albishi; Peter Cavanaugh

innovative in the classroom. Employing a quantitative correlational design, the study aims B. Backgroundto assess the relationships between the identified variableswithout presupposing specific outcomes. This approach ensures Saudi Arabia, with its rich cultural heritage, is strategicallyobjectivity and provides a data-driven basis for understanding investing in various educational programs and initiatives as partthe role of online professional development in equipping of Vision 2030. This comprehensive national initiativeteachers with the skills and leadership capacities necessary prioritizes the transformation of the education sector to fosterfor

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

Abdullah Al Hossain Newaz; Zheng Li

ankle X-ray of the patient. After that, the X-ray is examined to obtainthe measurements needed to create a new device that fitsprecisely. In contrast to conventional "one size fits all"implants, the Hintegra prosthesis focuses on attaining properligament tension and comes in a range of sizes. Detailed Fig.6. Foot Alignment During Walkingdimensions obtained from X-ray analysis served as thefoundation for the model developed in this work. Fig:4 [5] Fig.7. Free Body Diagram Fig.4. Hintegra Artificial Ankle showing different components Here, F N=1423N, F B=-1423N, θ = 19

Collection

2025 Northeast Section Conference

Authors

Rachmadian Wulandana

Students”, Forbes, February 26, 2025,integrate AI tools into a master's course has increased student https://www.forbes.com/sites/danfitzpatrick/2025/02/26/chatgpt-to-be-comfort as well as raised awareness of its ethical issues [17]. given-to-all-estonian-high-school-students/ [6] I. B. Bunjaku, S. Gagica, M. D. Kent, “Integrating Digital Tools in Several factors may contribute to the students’ low Engineering Education: Social Impact of Technological Integration”,engagement in using AI tools for their learning. First, students IFAC PapersOnline 58-3 (2024) p. 118 - 122are simply