RWU Computer Science Major Senior Design Presentations Spring 2025

#Technical #Student #Presentations

You are invited to attend the Roger Williams University Computer Science Senior Design Team Fall Semester presentations of their AY 2024-2025 year-long capstone project on May 6^th, 2025 at 2:00 PM Eastern. The Spring Semester builds off of Fall and focused on Implementation. Presentations will begin at 2:10 and each is about 20-25 minutes in length. The order of presentations is listed below and a Zoom link is provided for remote access. Times are approximate

2:10 PM:  Advising: This is the third phase of a multi-year effort to assist students and advisors in planning future courses.  The current system provides the courses a student needs to take, but not their order or prerequires.  Registration often becomes a stressful and frustrating time.  This student-focused system allows students to better anticipate how their courses align semester by semester.  Through drag and drop, students can see the impact of “what-if” planning as they think about moving courses around among semesters. Client Dr. Anne Anderson. Team Nikki Gardiner, Gabriel T. Gwiazda, Nick Vieira.

2:40 NUWC Configuration Management Database (CMDB) project establishes a robust system integrating scripts, graphical user interfaces (GUI), and file generation capabilities tailored for effective configuration management for security applications. The CMDB centralizes information on data structures for security keys, relationships, and configurations, supporting streamlined decision-making and project file generation. Scripts automate data synchronization and validation processes, ensure data integrity and reliability across the CMDB. GUI interfaces will empower users with intuitive tools to visualize and manage configuration data effectively. The system will produce reports and documentation, facilitating compliance and security requirements. Clients Kevin Dowty, and Alex Kasparek Team Isabel Cyr, Luca Martinez, Jack Noyes, Liam Reynolds.

3:10 AOA Deployment: This multi-year project leverages Bluetooth Low Energy (BLE) Angle of Arrival (AOA) technology and AI for building a solution that finds the accurate locations of equipment/people in indoor spaces carrying BLE tags. This project involves backend development and creating machine learning models.  The goal of this project is to consume the data to find the accurate location of BLE tags. This is the second year of the project. The devices are already programmed to send data through an IoT network; AI models are also trained to determine the location of the tags, In this phase, the focus will be on the deployment of the models and increasing the accuracy of the AI model. The project will also explore dynamically placed locators as well as the static locators currently in place. Clients Dr Issa Ramaji and Dr Sonya Cates. Team: Kyle Deleyer, Louis Sader, Derek J. Trevens, Jack Bielawa

3:40 Deep-CV: Computer vision enables machines to extract meaningful information from digital images, videos, and other visual objects. Real-world implications are enormous, benefiting several industries, ranging from security, energy and utilities, and manufacturing to medical imaging, DNA sequencing, and automotives.  This project aims to build a Python based integrated computational framework for implementing state-of-the-art deep learning models, such as CNN and CNN-LSTM.  Theoretical/mathematical aspects of the model architectures are analyzed and entire deep learning models, implementation pipeline is constructed using PyTorch APIs, Python classes, and functions. Includes data extraction and visualization, resizing and normalization, input preparation, model construction and implementation, performance evaluation and hyperparameter tuning, and model selection and validation. The best performing model configuration is identified out of several constructed models using empirical results and robust theoretical analysis. Special focus is given for validating and optimizing written code to increase the efficiency of the software. Client Dr. Hum Bhandari Team: Maria Mangiameli, Tabitha Sylvia, Gokdeniz Tingur.

Anthony Ruocco is inviting you to a scheduled Zoom meeting.

Topic: RWU Computer Science Senior Design Final Presentations
Time: May 6, 2025 02:00 PM Eastern Time (US and Canada)
Join Zoom Meeting
https://rwu.zoom.us/j/95397176499?pwd=m6kS8cBWlio1oJP0eiob63fQmRYYM8.1

Meeting ID: 953 9717 6499
Passcode: 368591

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