School of Technology and Computing
Applied Research Symposium
Fall 2024

Hosted by CityU’s Center for Cybersecurity Innovation and School of Technology and Computing (STC), the Applied Research Symposium is open to faculty, professionals, and students from any discipline, university, or professional organization.  At the end of each quarter, any students who would like to share their projects including capstone courses will present their outcomes. This symposium will provide opportunities for students, researchers, and practitioners to discuss the influence and impact of the applied computing on the future of our planet and our society

Event details

Date: Thursday, Dec 12th, 2024
Time: 4:30PM-5:30PM PT
Contact: buianhthivan@cityu.edu

Advisors

DR. Brian Maeng
Professor,
School of Technology & Computing
(CS687)
DR. Sam Chung
Professor,
School of Technology & Computing
(CS680)
TJ Kim
Associate Faculty,
School of Technology & Computing
(CS687)
Dr . Patrick Offor
Associate Faculty,
School of Technology & Computing
(CY665)
Jemell Garris
Associate Faculty,
School of Technology & Computing
(CS497)
Session Chairs
Asia Shvets
Asia Shvets
Yogesh Goel
Yogesh Goel
Clark Jason Ngo
Jonathan Koerber
Kina Anh Bui
Ashwin Shastry Paturi
Presenters
Godwin Bime

Name : Godwin Bime

A Comparative Analysis of MFA and Google Sign-In for Mobile Applications: Implications for User Experience, Security, and Development Efficiency.

Course: CS687

Description: This topic is about types of authentication methods in mobile applications mainly email and password authentication enhanced with MFA and Google Sign-In. The topic is aimed solving the authentication problem of encouraging users and developers to adopt implementing Google Sign-In in their apps over email and password authentication enhanced with MFA because with Google Sign-In it’s just onclick provided you have a Google account already in your mobile device.

Dhrushal Gada

Name: Dhrushal Gada

Hybrid modeling for detecting credit card fraud

Course: CS497

Description: After observing past studies on detecting fraud in ML, i though to create my own iteration of models and potentially pair them to achieve greater efficiency and better performance. The main 4 models are as follows: Support vector machine, random forst classifier, feed-forward neural network, and convolutional neural network

Mamhood Kolawole

Name: Mamhood Kolawole

Implementing AI-Enhanced Zero Trust Architecture for Real-Time Threat Detection and Access Revocation in Government Networks.

Course: CY665

Description: Government networks are increasingly targeted by sophisticated cyberattacks. Traditional security models based on implicit trust are no longer sufficient. Insider threats, credential theft, and advanced persistent threats (APTs) are growing risks. The main objective of this paper is to explore how AI can strengthen Zero Trust Architecture by automating real-time threat detection and immediate access revocation in government settings.

Gloria Parker

Name: Gloria Parker

The Impact of Fast Fashion on the Environment

Course: CS497

Description: How fast fashion has been contributing to environmental degradation and how digitizing the textile industry could be a step in the right direction, by promoting sustainability and transparency in the supply chain.

Michael Hsiu

Name: Michael Hsiu

Comparing React Native and Flutter in mobile application development

Course: CS687

Description: Trying to figure out if React Native or Flutter is better for writing mobile apps, using metrics like application size and CPU usage to determine.

Mauricio Zamora Trujillo

Name: Mauricio Zamora Trujillo

Integrating Autonomous Mobile Robots with Human Workforces - A Case Study of the MiR500

Course: CS497

Description: Autonomous Mobile Robots (AMRs) are transforming modern industrial spaces by improving productivity, but the integration into environments where humans also work remains a challenge. This project will provide a series of guidelines and recommendations for smooth integration between human workforces and AMRs.

Gayatri Soni

Name: Gayatri Soni

Storefront Product

Course: CS680

Description: The Storefront product is comprehensive solution designed to help pharmacies establish their digital presence. It includes key functionalities for pharmacies to seamlessly register their business, manage product inventories, and prepare for online operations.

peperanicholas

Name : Nicholas Pepera

Location Analysis of Veterans Affairs (VA) Clinic Accessibility

Course: CS487 DL01

Description: This study investigates the limited availability of VA healthcare clinics in urban areas with high veteran populations, leading to overcrowding, delays, and adverse health outcomes. Using geospatial analysis and Power BI visualizations, it identifies underserved regions and proposes solutions like new clinic locations and expanded telemedicine. The findings highlight the urgent need to expand VA healthcare resources to improve access and outcomes for veterans.

Tyler Adams

Name: Tyler Adams

Scalable Waste Management IoT using ELK and Kubernetes

Course: CS687

Description: Improving waste management by utilizing automation to detect fullness of waste bins.  Various technologies such as Kubernetes and ELK are used to reliably deliver data insights in real time.  

Randell Smith

Name: Randell Smith

Smart Evacuation

Course: CS497

Description: Predicting impact of catastrophic storm events to mitigate damage and loss of life by being prepared for natural disasters. 

Name: Francisco Medina Ojeda

The impact of hacking with social engineering

Course: CS497

Description: Interactive webpage designed to educate users on social engineering threats and effective prevention techniques.

Matthew Webb

Name : Matthew Webb

Securing Enterprise Networks through Segmentation and Zero-Trust Principles to Reduce the Risks of Cyberthreats

Course: DS497

Description: Cyberattacks result in estimated losses to business of more than $264 billion per year, even as the number of security breaches continues to increase year-over-year. A critical component of a successful defense against cyberthreats is the way an information network is architected. Legacy, flat, network architectures are more susceptible to compromise and result in greater damage when breached. Implementing a segmented, zero-trust approach to network security has the potential to reduce the efficacy of cyberattacks; however, transitioning to a new network security paradigm must consider the human and operational impacts to ensure successful business outcomes.

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Name: Yining Wang

Stray dog adoption website

Course: CS687

Description: I built a web platform about stray dog adoption. This website can update any stray dog information and locate the stray dog. It helps more people pay close attention to stray dog problem and help decrease this problem. 

Jeff Mobley

Name: Jeff Mobley

Astrophotography Mosaic Project Manager

Course: CS497

Description: A full-stack web-based application that helps create and distribute the workload of acquiring data for an astrophotography mosaic. This solution can significantly reduce the time needed to complete the acquisition while simplifying the creation of the project and providing a platform for the group to collaborate.

User Icon

Name: Eric Hall

TBA

Course: CS497

Description: TBA

Schedule

Contact Us

buianhthivan@cityuniversity.edu