those from technical institutions, benefit more from Abstract - Project Based Learning (PBL) has emerged as hands-on experiences where they can see, hear, and a transformative methodology in engineering and interact with concepts in real time [1]. For example, if technology education, addressing the evolving needs of students in a CNC machining course only learned how students and the demands of modern industry. By to write G-code without ever seeing how the machine immersing students in real world challenges, PBL executes it, their understanding of CNC mechanisms enables them to design, implement, and evaluate solutions while developing critical technical and
applications such as interface studies, heat transfer,calculated with interatomic potential or molecular evaporation, and diffusion processes[8]. The SPC/Edynamics force fields. [1] [2] model is a widely used three-site model for MD simulations and the monte Carlo method of liquid water.Water in nanopores plays an important role in MD It was introduced by Berendsen et al, It is an improvedsimulations, which represent the behavior of molecules in model of the SPC water model by incorporating self-different conditions and force fields and in various polarization methods and thermal and
inhibit theprocessing and real-time insights. Using qualitative research organization from harvesting the potential of their data to themethodology, the study analyzes case studies and literature to complete value while taking well-timed, well-informedcompare effective integration strategies. The findings from the decisions [1].research are that businesses whose data initiatives are aligned to Moreover, integrating analytical and operational informationorganizational objectives achieve enhanced analytic capabilities, requires the deployment of robust frameworks that provide theenhanced decision-making, and long-term competitive capabilities of interoperability and scalability
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA.Wildfire Detection Using Vision Transformer Models Sailesh Adhikari[1], Navarun Gupta[2], Xingguo Xiong[2], Ahmed El-Sayed[2] [1]Department of Computer Science, [2]Department of Electrical and Computer Engineering, University of Bridgeport, Bridgeport, CT 06604Abstract-The increasing danger of wildfires to human settlements andnatural ecosystems emphasizes the critical need for sophisticateddetection systems. This study explores the use of deeplearning architectures called Vision
the guidance of NIST AI Risk Management Electronic Frontier Foundation (EFF) [1], or many years,Framework, an AI security management strategy and Vygotsky’s students have contended with invasive technologies in schools.sociocultural theory, a transformative pedagogy, this study These have included student monitoring software, remoteexplores how AIOEP can mitigate the risks and concerns proctoring tools, learning management systems, cameras, facialintroduced by GenAI in academia while cultivating both students recognition, and biometric systems. AI detection software is aand educators the effective and ethical use of GenAI. new, dangerous tool added to this list. Tools like
pharmaceutical treatment, achieving automated epilepsymanagement, potentially leading to more rapid and effective acteristic. The treatment options available to patients withseizure suppression. epilepsy do not work for one-third of people with drug- The implementation utilizes the MPU6050 accelerometer for resistant epilepsy (DRE), thus requiring different therapeuticactivity recognition and AD8232 for ECG activity recognition, approaches [1]. Ethical standards endorse Vagus Nerve Stim-combining these data with ECG readings to minimize false ulation (VNS) as an effective treatment solution for
plant. It possesses unique physical propertiesthat make it an ideal bio-aggregate for construction. As alightweight and eco-friendly material, hempcrete offers thermalinsulation, moisture regulation, and carbon sequestration, furtherenhancing its sustainability profile [1]. Fig. 1. Cross-section of a cannabis stalk, showing its hollow core and inner fibers (hemp hurd), approximately 2 inches in length.Hemp, like other crops, is considered a carbon-negative materialdue to its ability to absorb CO₂ from the atmosphere during growth.The lime binder in hempcrete further enhances carbonsequestration through carbonation, where lime absorbs CO₂ as
call," play a crucial role in communication among big and conservationists with a powerful tool to track reproductivecats, particularly for territorial marking and mate attraction. cycles of endangered species and develop conservationResearch by [1] and [2] demonstrates the feasibility of methods. Increasing the reach of this research through a digitalclassifying big cat vocalizations based on frequency, platform can be a major step in the conservation efforts ofharmonics, and behavioral contexts. These studies underscore endangered species [6].the potential of vocalization analysis to provide insights intoreproductive cycles, stress levels, and social dynamics withoutthe need for physical interaction
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA.A Novel Platform for Evaluating Nurses’ Trust in AI- based Biomedical Tools Boluwatife E. Faremi[1], Javier O. Pinzon-Arenas[1], Amir Mohammad Karimi Forood[1], Josef Kundrát[1], Hugo F. Posada-Quintero[1], Ann Marie Hoyt-Brennan[2], Wendy A. Henderson[2] [1]Department of Biomedical Engineering, University of Connecticut, Storrs, CT [2]Penn Nursing, University of Pennsylvania, Philadelphia, PA Abstract—AI-based biomedical engineering tools are essential to
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
brainstorming process by enabling designers to ask smarterPratt and McLaughlin [3] concurred with this definition and questions and generate more ideas (Nguyen & Nguyen, 2024).stated that business innovation is an organization’s process forworkflows, methods, services/products, and/or introducing new However, traditional design remains essential in the conceptideas. Innovation and invention are frequently used generation (divergent thinking) and concept selectioninterchangeably; however, this is erroneous. The two terms are (convergent thinking) phases. The effectiveness ofclosely linked but not interchangeable [3]. Drucker [1] brainstorming can be enhanced by combining it with
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach Lakshmi Aishwarya Malladi[1], Navarun Gupta[2], Ahmed El-Sayed[2], Xingguo Xiong[2] Department of Computer Science, University of Bridgeport, [1] Bridgeport, CT 06604, USA [2] Department of Electrical and Computer Engineering, University of Bridgeport, Bridgeport, CT
ofcommunity college setting. The 1-dimensional DNA/amino information in a random trial. The recent success ofacid sequences on PubMed serve as signal examples of Generative AI diffusion model of text to image technologyinformation content analysis using Shannon entropycalculations. The extension to 2-dimensional image offers much inspiration for STEM students to learn aboutentropy calculations could use the Solar Dynamics random processes in research projects beyond the regularObservatory data
solutions to complexstrategic business approach required to implement AI in technical questions. Of course, there are caveats.product development. Successful AI adoption requires This paper seeks to illustrate the power of artificialaligning technology with organizational goals, ensuring that intelligence (AI) systems, particularly LLMs, to significantlyinnovation leads to both improved product outcomes and accelerate the processes of design, engineering, andcompetitive advantages. The project will demonstrate how manufacturing within the context of a genericAI can accelerate time-to-market, increase the reassurance aerospace/automotive component, as shown in Fig. 1. Further, itof
ods for performance enhancement for example-based single- image super-resolution (SISR), where one of them was data Image super-resolution (SR) is a key challenge in computer augmentation. They found consistent improvements acrossvision that reconstructs high-resolution (HR) images from their models and datasets, using rotation and flipping. However,equivalent low-resolution (LR) images [1]. they only evaluated geometric distortions using traditional SR Although SR has made great strides in recent years with the models [11], [12]. Feng et al. [9] tested a method calledemergence of deep learning, its
(AI) has enhance learning experiences. Additionally, concerns over AI’sintroduced transformative opportunities in education, ranging potential to exacerbate existing educational inequities—suchfrom automated grading and intelligent tutoring to person- as disparities in access to AI resources or biases in AI-alized learning and curriculum design [1]. These tools have generated recommendations—underscore the need for inclu-the potential to revolutionize teaching and learning, offering sive and responsible AI policies.educators new ways to enhance efficiency, engage students,and provide adaptive support tailored to individual needs. II. L ITERATURE R
maintaining ainformed the design of AI-related interventions introduced consistent and effective structure. The key components of theduring the course. Further details on the pre-semester survey framework are as follows:can be found in the Results and Findings section. 1) Establish GuidelinesC. Integration of AI Tools. This component establishes the foundation for the eth- AI tools were integrated into the course to enhance learning ical and effective use of AI tools, introduced at theoutcomes while promoting critical thinking and ethical aware- beginning of the course and reinforced throughout vari
C OMPARISON OF AI P OLICIES IN H IGHER E DUCATIONtasks [13]. Research highlights that AI-driven adaptive learn-ing systems can increase student engagement and performance, University AI Usage Policy Privacy Protectionallowing course content to be tailored based on individual Strategylearning patterns [7]. However, the use of AI also introduces Columbia Univer- AI Governance Ethical Usechallenges regarding data privacy and security [3]. Unautho- sity [1] Policy and Institutionalrized access, potential misuse of student data, and compliance
careers. Keywords—ARG Model, retention, undergraduate research • Objective 1: Increase the persistence of Hispanic students enrolled in computer science I. INTRODUCTION and engineering degree programs in their first Fostering Hispanic Achievement in Computer Science and two years of study.Engineering with Affinity Research Group Model (Project • ·Objective 2: Increase the engineering self- 6. To collaborate effectively with a team to solve a efficacy of Hispanic
health foundation by integrating an AI accelerator 'Hailo' [9], which a around the world. For instance, In 2025, wildfires in Los promising result has been achieved for advanced data analysis Angeles devastated neighborhoods, with 7,900 buildings and a vision based system for fire verification, culminating in a damaged in the Eaton Fire [1]. The continuous increase and comprehensive, scalable, robust, and efficient wildfire detection intensity of previously mentioned events, provided and derived solution for humanity. by climate change and altered land management practices, open the door for the development of innovative and robust study for II
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA.Study of microstructure of iron species in plants using X-ray absorption spectroscopy David Lee[1], Mashtura Rahman[1], Shivansh Sharma[1], Michael Ventourat,[1] Julianne Torreno[1], Nealesh Guha[1], Tak Choi David Cheung[1], Guozheng An[1], Sunil Dehipawala[1], Lexi Robinson[2], Harsh Rajapakse[3] [1]Physics Department, Queensborough Community College Bayside, NY 11364 [2]Gateway Community College, New Haven, CT 06510 [3]Chemistry Department, Medgar Evers College
: participation. Ha3: There is a presence of a specific significance within therelationship involving the development of scalablecompetencies involving teacher leadership and OPDparticipation. 1.1 Significance of the Study This study is significant as it will contribute to the existingliterature on the online professional development of high schoolteachers in Saudi Arabia. Understanding the dynamics ofinnovation, the integration of technology, and teacher leadershipin Saudi Arabia’s distinctive cultural and educational landscape Figure 1: Internal versus External Validity Biases as they Relate to Target,can inform strategies that are culturally sensitive and Study, and Analysis
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, Bridgpeort, CT, USA. Arduino-ESP32 based Smart Irrigation System Ahmed Hassebo Kevin B. Montes1, and Erick Cabrera2 Electrical and Telecomm Engineering Technology Computer Engineering Technology NYC College of Technology - CUNY NYC College of Technology - CUNY Brooklyn, NY Brooklyn, NY 1 Ahmed.Hassebo10@citytech.cuny.edu
independent and self-directed learning. The keyThermal power (CSTP) systems [1- 7]. Heliostats track the educational values learned through these activities includesun’s movement and reflect sunlight to a specific target, a deep understanding of optics, where students explore lightoften a solar receiver or a central tower, where the reflected reflection, concentration, and sun-tracking systems. Insunlight is used to generate energy. A heliostat system addition, they apply thermodynamics principles to optimizerequires a blend of engineering principles—optics, control energy efficiency and improve sunlight collection. Thesystems, materials science, and mechanical design
, [1]. This increase in tuition has placed increasing financialthe total amount of funds, and the number of students who pressure on college students and their families to find methodsreceived external scholarships, both before and after the to pay for their undergraduate education [2]. Often, manyinitiative was implemented. In this context, four strategies were students turn to student loans and/or part-time employmentidentified to communicate opportunities for external scholarships while attending school to cover the cost of tuition [3].to students: 1) using a department Canvas shell; 2) emailing However, evidence has shown that this can result in aadvisory bulletins; 3) using social media; and 4) placing
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
. Misuse swimming pools, retaining walls, domes, dam linings, isof AI can lead to incorrect decision-making. However, instead of challenging. The author was looking for some advanced topicsconsidering AI as proscribed, it can be utilized in research areas to initiate a civil engineering student research project onespecially developing hypothesis and reviewing literature. To application of concrete in complex structures, which was to begenerate a theoretical or experimental research, the researchers started within a week. The author explored ChatGPT [1] to findmust review a series of technical articles. It takes longer if those some suitable topics. At first it was asked that “Can you listarticles are selected
creativity module made our team more aware of creativeCreatively to Drive Innovation was applied to a senior design thinking, but the module’s activity itself did not havebiomedical engineering design course in which a doctor from any major influence on our strategy. A few critiques we hadthe school of medicine challenged a team of five students to on the KEEN module include:design a pelvimetry model training tool to improve obstetricoutcomes. Pelvimetry is the practice of measuring the 1. The module was very wordy and quite dry. There wasdimensions of a woman’s pelvis to determine the preferred a lot of lecture-like material but not a lot of advice as to howmethod of childbirth
—Artificial intelligence (AI) significantly impacts are widely used today. ITS includes 1-on-1 tutoring,education by introducing virtual assistants for personalized virtual teaching assistants, and adaptive learninglearning and advanced tracking systems for students and systems. AI-powered language learning platforms areteachers. These technological advancements bring notable among the most used tools due to their effectiveness.benefits, such as tailored educational experiences and Advancements in AI enable personalized learning, real-efficient monitoring, but they also raise significant