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Effectiveness of Using Artificial Intelligence and Social Media to Support Non-Profit organization for Fundraising.
No full textAdvisor: Prof. Dan Tenney.
UB RISE 2023, Department of Tehnology Management, School of Engineering, University of Bridgeport.Non-profit organizations often struggle to attract donors and engage with them effectively, particularly through social media where their presence may be lacking. This research will investigate how non-profit organizations can use artificial intelligence (Al) and social media to enhance their fundraising efforts and build stronger relationships with donors. The study utilized a quantitative methodology with a sample size of 50 non-profit organizations, and data was collected from open sources, such as social media, Google reviews, and Glassdoor reviews. The researchers will use natural language processing (NLP) to analyze the collected reviews and identify positive or negative sentiments. The expected outcomes of the study are to demonstrate the potential benefits of Al-powered tools, such as chatbots and sentiment analysis, to streamline fundraising processes, improve donor experiences, and increase fundraising effectiveness and efficiency. By adopting Al and social media strategies, non-profits can leverage positive sentiment to promote the success of fundraising campaigns and address negative sentiment to make improvements to fundraising efforts
An Analysis of Innocence Network Organizations
No full textUB Rise 2025
College of Science and SocietyWrongful convictions remain a critical issue within the United States criminal justice system. The Innocence Network is a collective of innocence organizations dedicated to addressing wrongful convictions, currently comprising 60 member organizations. Despite the growth of these organizations, limited research has systematically examined their characteristics and the work they perform. To gain a better understanding of these organizations, including the types of work they engage in and their eligibility criteria for case acceptance, this study conducted a content analysis of the official websites of 30 Innocence Network member organizations. The findings reveal significant variation in organizations’ caseloads, number of successful exonerations, services offered, and eligibility criteria. These results have important implications for exonerees, advocacy organizations, researchers, and policymakers
Breast Cancer Detection with Quanvolutional Neural Networks
No full textUB Rise 2025
Department of Electrical and Computer EngineeringThe primary contribution of this research is the implementation of quantum convolutional layers as feature extractors in a neural network model, aimed at capturing robust features from ultrasound breast images for breast cancer detection. Our proposed method utilizes angle encoding for data mapping and employs quantum circuits with a fixed sequence of parameterized gates, incorporating quantum convolutional layers with a 3 × 3 kernel size
Proposed Research: Is There a Relationship Between IoT Adoption and Use and Cybersecurity Breaches in a Domestic Setting?
No full textUB Rise 2025
The Ernest C. Trefz School of BusinessThe Internet of Things (IoT) has gained prominence, connecting common everyday objects and devices to the Internet (e.g. home appliances, thermostats, watches etc.). Currently there are over 15 billion Internet connected IoT devices worldwide and this number is projected to double by 2030. While the growth in IoT devices adoption and use is happening, it does introduce new risks and challenges to cybersecurity and these devices may be affected by cybersecurity and privacy risks differently than conventional information technology (IT) devices do. Is There a Relationship Between IoT Adoption and use and Cybersecurity Breaches in a Domestic Setting?
A review of the literature suggests that the increased adoption of IoT devices broadens the network security landscape and in so doing increases the likelihood of a network security breach. Mediating this relationship is the security practice that the user puts in place and the extent to which the user can demonstrate self-efficacy is moderating the relationship. The review also considered factors such as demographic (age, level of education, etc.), internet usage habits, network infrastructure/design (firewall, VPN, IDS. etc.) as control variable impacting the relationship (see figure 1). This Literature review presents significant findings that will help homeowners create safe networks, leverage cybersecurity techniques to empower themselves in creating secure and resilient home networks. It provide actionable insights that could lead to improved product design and or regulatory standards (Baiyere et al., 2020;
Astute Support System with Voice Feedback for Visually Impaired and Blind Assistance
No full textUB Rise 2025
Computer Science and Engineering DepartmentVisual impairment affects millions of individuals worldwide, creating daily challenges in object recognition and independent navigation. Traditional assistive tools such as white canes and guide dogs offer limited support for real-time object identification. This paper presents an astute support system designed to assist visually impaired and blind individuals through real-time object detection and voice feedback. The proposed system utilizes a YOLO-based computer vision model for object detection, OpenCV for real-time video processing, and Google Text-to-Speech to provide immediate auditory feedback to the user. The system captures live video input, processes each frame to identify objects exceeding a confidence threshold, and verbally announces detected objects in real time. Experimental results demonstrate high detection accuracy, with Intersection over Union values exceeding 0.90 for common objects and real-time performance maintained across low-resource devices. The proposed solution offers an affordable, user-friendly, and scalable assistive technology that enhances safety, mobility, and independence for visually impaired and blind individuals
The Intersection of AI, Creativity, and Design Thinking: Implications for Artists, Artworks, and Museums
No full textUB Rise 2025
College of Engineering, Business, & Education
Technology Management DepartmentInvestigates AI's influence on creativity, design thinking, and divergent thinking in art, artists, and museum organizations. Examines whether AI enhances or limits creativity, affects artistic originality, and functions as a tool, collaborator, or disruptor. Addresses the research gap by exploring AI's underexamined role in art and museum curation, extending beyond business and design contexts
Christopher Nolan’s Oppenheimer: An Atomic Gaze
No full textUB Rise 2025
College of Science and SocietyThe 2023 film Oppenheimer dramatizes the life story of J. Robert Oppenheimer, the physicist who headed the American effort to develop the atomic bombs that brought an end to World War II and decimated Japanese civilians in Hiroshima and Nagasaki, ushering in the nuclear age. The film cuts back and forth between his life story as a gifted, budding scientist to the Red Scare 1950s when his government security clearance is revoked over concern for his former associations with Communists and his opposition to the hydrogen bomb
Aligning University Education with Industry Needs Through Cross-Functional Teamwork
No full textUB Rise 2025
School of Business & School of Engineering
University of Bridgeport, Bridgeport, CTUniversities and corporations are organized in hierarchies in which each division or department has its own expertise and associated culture that shape their goals and objectives. While this segregation encourages focused expertise and knowledge, it often hinders collaboration across departments, resulting in negative effects on organizational success. Previous academic research described this as mutual incomprehension between two cultures—the arts versus the sciences. In the corporate world, scholars identified a similar cultural clash in the U.S. automobile industry between technical and financial departments, referred to as “Car Guys vs Bean Counters,” which was considered a major factor in the financial crisis of the 1970s and 1980s. This communication gap can often be interpreted as uncooperativeness, leading to failure. To address this problem, five professors at the University of Bridgeport are conducting graduate-level multidisciplinary courses within the Business and Engineering Schools. In these courses, students from different disciplines and backgrounds collaborate on team projects related to course material. The goal is to better prepare students for corporate environments by equipping them with the skills necessary to collaborate across multiple divisions, departments, and disciplines
Design and Optimization of a Lightweight Drone using Additive Manufacturing with Topology and Parametric Optimization
No full textDepartment of Mechanical Engineering
School of Engineering
UB Rise 2025This research focuses on the design, optimization, and fabrication of a lightweight drone using Additive Manufacturing (AM) with Topology and Parametric Optimization. Finite Element Analysis (FEA) facilitated a 65% weight reduction while maintaining structural integrity and optimal flight performance. Polylactic Acid (PLA) was chosen for its lightweight properties and 3D printability. Topology optimization minimized material usage in non-load-bearing regions, while parametric optimization refined the geometry for improved aerodynamics. Flight testing validated the feasibility of AM in efficient drone design, demonstrating its potential in sustainable aerospace applications
Empowering Students with AI: Intelligent Systems for Academic and Campus Life Support
No full textDepartment of Academic & Campus Technology Services
UB Rise 2025This project aims to develop an AI-powered university chatbot using LLaMA2-7b-hf and AWS SageMaker for model training, fine-tuning, and deployment. The chatbot efficiently handles queries on courses, fees, faculty, facilities, and student services, bridging gaps in traditional university helpdesk systems. With Retrieval-Augmented Generation (RAG) and the Milvus vector database, it ensures fast and accurate responses. AWS SageMaker streamlines model optimization and scaling, reducing operational complexity. Additionally, the chatbot supports multilingual queries, improving accessibility for a diverse student body. It also features continuous learning mechanisms, refining responses based on user interactions and feedback. While challenges include AI biases, real-time data updates, and resource demands, this project enhances AI-driven educational support, offering a scalable, cloud-based solution for universities