School of Technology and Computing
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,June 08th, 2023
Time: 4:30PM-5:30PM PST
Contact:Raeiszadehanahita@cityuniversity.edu
Advisors
DR. Sam Chung
Professor, School of Technology
& Computing
(CY 685)
& Computing
(CY 685)
DR. Brian Maeng
Associate Professor, School of Technology & Computing (DS 687 & DIT 699)
Greg Surber
Associate Professor, School of Technology & Computing (CY 665)
Dr. Ali Khamesipour
Assistant Professor, School of Technology & Computing
(CS 687 )
(CS 687 )
DARRON JOHNSON
Assistant Professor, School of Technology & Computing (CS 497)
Session Chairs
Teaching Assistants
Anahita Raeiszadeh
Yared Shewarade
Shravya Nangineni
Serkan Hiziroglu
Anna Kriuchkova
Presenters
Alumni
Name : Veerendra Jagatha
Course: CS 687
Cross-Platform App Development: A Comparative Study of PWAs and React Native Mobile Apps
Description: This research aims to compare the architecture, performance, and user experience of Progressive Web Apps (PWAs) and React Native mobile apps by converting a web application to both platforms using React framework. The study evaluates the challenges faced and modifications made during the conversion process and aims to provide developers with insights into the best approach for a specific use case.
Name: Alekhya Malla
Course: CS 687
Automating Descriptive Response Analysis using BERT language model
Description: This project involves utilizing BERT’s capabilities to process and understand natural language text and generate descriptive insights based on the given descriptive responses. BERT (Bidirectional Encoder Representations from Transformers) is a state-of-the-art language model developed by Google that excels at various natural language processing (NLP) tasks.
Internship at eFulgent
Course: CS 680
Description: Deploying a scalable and reliable real-time application for monitoring, log analytics, and website search using AWS
Name: Clément Karumuhinzi
Course: CY665
Spam and Malicious URLs Detection Using Machine Learning
Description: The purpose of this research is to propose a prototype web application to detect spam and malicious URLs in real time using Machine Learning.
Name: Deepti Venkatesh
Course: CS 497
Modern Consent Management and Data Sovereignty
Description: By leveraging digital wallets and verifiable credentials, individuals can create a personal data wallet that enables seamless, consent driven data usage. This approach may be able to foster a balanced relationship between businesses and users, eliminating the need for confusing pop-up consent pages or tabs, and potentially reducing consent fatigue. I’ll be creating a web demo of what could be done. There are some assumptions this demo will make, and some parts of the demo will not be coded due to knowledge limits and time constraints.
Name : Andre Idlebird
Course: CS 497
IoT In Healthcare: The Digital Angels
Description: The Internet of Things (IoT) has the potential to improve patient outcomes and help hospitals with nursing shortages. This technology can also be used to remotely monitor patients, minimizing the need for in-person care and allowing nurses to focus on more important activities. IoT can assist ease the strain on healthcare personnel in institutions with nurse shortages by automating regular operations, such as monitoring vital signs, and delivering notifications when action is required.
Name : Kristine Harris
Course: CS 687
AWS Cloud Advantages for the Federal Aviation Administration
Description: Presenting on the advantages of how the FAA could greatly benefit from using more cloud based technologies.
Name : Ranjit Das
Course: CS 687
Application Security Solution using Keycloak
Description: The purpose of this research paper is to show how an Open-source Identity and Access management (IAM) tool called Keycloak streamlines the authentication process for Codyssey Web Nepal application. Due to the nature of the Codyssey application, it needs a reliable application security tool to safeguard it against unauthorized access and data manipulation as well as a strong system to control client identities. This research paper will also cover the Keycloak capabilities that will enable a high-quality IAM system for application without having to develop complex software solutions, which can be expensive and time-consuming.
Name : Luis Linares Medina
Course: CS 687
Backend Legacy Data Migration to Cloud Platform
Description: The legacy of data migration is an important activity that helps to transform the architectural styles applied during a system’s design with the result of modernizing the system. With the constantly growing volume of data in the context of cloud applications deployed in geographically distributed systems, the issue of data management has turned to be an essential study to evaluate the performance of the cloud system.
Name : Mahathi Vucha
Course: CS 687
Text Detection using Image Processing
Description: The research introduces a two-step process for detecting and identifying text in intricate images. It combines a text localization stage for speed and size normalization with a machine learning text verification step based on background-independent features.
Name : Shelby Lynch
Course: CS497
Time Series Analysis of Tree Distribution
Description: Project discusses using time series analysis to understand how climate and other factors affect tree distributions over time.
Name : Fernando Mckenzie Gooden
Course: CS497
Exploring The Benefits of The Onion Router, Tails OS, and The Significance of Information Freedom
Description: The relevance of free speech and privacy on the internet will be explored through a case study of the Tails operating system and the Onion Router (TOR). The first section of the examination will discuss free expression and the importance of unrestricted access to information. In the second section, we’ll learn about Tails OS and how it can help you maintain your anonymity while using the internet. The examination will also emphasize the significance of recognizing and avoiding the security dangers associated with utilizing Tails OS. To accomplish this, a communication strategy to increase public awareness and backup plans for connectivity (such the use of virtual private networks) will need to be developed. In the end, the research will focus on what end users need to know about protecting their privacy and security while running Tails OS with TOR.
Name : Shingo Kise
Course: CS680
Internship at One Code Club
Description: Front-end projects that I got to work on during my internship
Name : Yin Yin Tan
Course: DS 687
An Artificial Intelligence Approach to Predicting Heart Disease in the United States
Description: Using AI/ML to predict heart disease, a leading cause of death for U.S. population
Name : Dare Fatade
Course: CS 687
Application Deployment in Cloud Computing
Description: The paper talks about introduction to AWS cloud and its benefits, followed by a discussion of the various deployment options available on the platform, including EC2 instances, Elastic Beanstalk, and Lambda functions. The paper also covers key considerations when deploying applications to AWS cloud, including security, scalability, and cost optimization.
Name : Vinithra Sankaran
Course: CS 687
Amazon EKS Deployment with Terraform and GitLab CI/CD
Description: This project utilizes GitLab’s review-apps to automate the deployment of Amazon EKS (Elastic Kubernetes Service) clusters using Terraform. The paper also covers the best practices and implementation of GitLab’s continuous integration and continuous deployment pipelines.
Name : Ian McGeoy
Course: CS 497
Information Consolidation Using Web Scraping With Go and Python
Description: Programming an RSS reader with the ability to create and display non-RSS sources. Programmed with Go back end and Python front end.
Name : Christopher Sharp
Course: CS 687
Accessibility in Computational Research in Physics and Astronomy
Description: Computation is a key part of modern scientific research in physics and astronomy. Two key bottlenecks in computational work are availability to resources and technical background to utilize resources. This paper seeks to address both facets. It shows how resource availability is problematic even in major collaborations and experiments, and contrasts that to lesser funding of smaller and disadvantaged schools to outline the framework of a possible solution using cloud computing resources. It also shows how software tools can better automate boilerplate features of scientific computing. It is hoped this may facilitate wider participation in physics and astronomy research by researchers especially at smaller, more disadvantaged schools.
Name : Shubhashree Bhattacharya
Course: CS 687
Multi-Cluster Kubernetes API Gateway: An Open-Source Solution for Scalable Microservice Architectures
Description: While there are many cloud provider API gateways such as Amazon API Gateway, Azure API gateway etc. and open-source API gateways available in the market such as Kong, Ambassador, Tyk API gateways, they mostly lack in providing a free open-source multi-cluster hybrid API management where user applications are deployed in multiple cloud and on-premises environment. This project aims to research and implement an API gateway in the multi-cluster Kubernetes environment in which multiple Kubernetes clusters are deployed and managed by API gateway. When the system load is high, the gateway steers traffic for multiple applications and load balances traffic. It enforces authorization and authentication policies to enforce security. When a service reaches the limit, the API gateway automatically stops the service from sending an upstream request and implements rate limiting to the services from a centralized place.
Name : Marie Aimee Karumuhinzi
Course: DS 687
Using Artificial Intelligence to Uncover Critical Divorce Predictors
Description: The objective of this project is to use machine learning techniques to identify critical factors that lead to divorce.
Name : Rima Akileh
Course: CY665
DevSecOps - The unattainable Golden Standard
Description: This white paper will discuss the DevSecOps framework, why is it challenging to implement, and best practices
Name : Bashar Abu-Hweij
Course: CS687
Identity and Access Management Solution for the LibreFoodPantry.org Project
This research examines the implementation of Keycloak Identity Access Management solution to secure the full stack of modern web applications, developed using MongoDB, Express, React, and Node technologies (MERN Stack), intended for use by the LibreFoodPantry.org community.
LibreFoodPantry.org is a free open-source framework, for schools and developers to contribute to projects related to food pantries.
The final solution provides an adaptable, high-quality, easy-to-build, and maintain, system for authenticating and authorizing users accessing food pantry web applications
Name : Adrian Wilkinson
Course: CS687
On the Benefits of a Proposed Method of Quantifying Complexity Induction for the Purpose of Generating Feedback Loop Parameters
Solving 2D recombinant challenges as quickly and as accurately as possible is well documented as a worthy goal. This work investigates the possible benefits of assimilating a specific controlled complexity induction approach inside of a feedback loop for purpose of assisting in solving these type problems. The well known TSP challenge was selected as the medium in which to perform this investigation. A readily controllable complexity induction method was developed. This control method was then aligned with a deterministic 2D TSP problem solution method: more specifically, with a nested triangles derived convex hulls solver employing both shortest-distance merge and inner-to-outer layer consumption criteria. Results show that when the subject complexity induction control method was woven into the aforementioned deterministic nested triangles solution method, the resultant reduced rigidity, learning based merge decisions do provide improved solutions. Additionally, there was clear evidence of healing ability regarding non-validating cross-over features associated with the purely deterministic derived solutions.
Schedule
Main Room & Session 01
Session 02
Session 03
Session 04
Session 05
Session 06
Session 07
Session 08
Main Room & Session 01
| 4:30 PM – 4:35 PM | Greeting & Announcement _____________________________________________ | Advisors: Dr. Sam Chung Dr.Sion Yoon Chair: Anahita Raeiszadeh Teams link: Main |
| 4:35 PM – 4:55 PM | Presenter 1: Veerendra Jagatha Topic: Cross-Platform App Development: A Comparative Study of PWAs and React Native Mobile Apps _____________________________________________ | Chair: Veerendra Jagatha Teams link: Session 01 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Clément Karumuhinzi Topic: Spam and Malicious URLs Detection Using Machine Learning _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Rima Akileh Topic: DevSecOps – The unattainable Golden Standard |
Session 02
4:35 PM – 4:55 PM | Presenter 1: Christopher Sharp Topic: Accessibility in Computational Research in Physics and Astronomy _____________________________________________ | Chair: Christopher Sharp Teams link: Session 02 Presentation: 15 Minutes Q& A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Shubhashree Bhattacharya Topic: Multi-Cluster Kubernetes API Gateway: An Open-Source Solution for Scalable Microservice Architectures _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Bashar Abu-Hweij Topic: Identity and Access Management Solution for the LibreFoodPantry.org Project |
Session 03
| 4:35 PM – 4:55 PM | Presenter 1: Mahathi Vucha Topic: Text Detection using Image Processing _____________________________________________ | Chair: Mahathi Vucha Teams link: Session 03 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Dare Fatade Topic: : Application Deployment in Cloud Computing _____________________________________________ | |
| 5:15 PM – 5:35 PM |
Presenter 3: Vinithra Sankaran Topic: Amazon EKS Deployment with Terraform and GitLab CI/CD |
Session 04
| 4:35 PM – 4:55 PM | Presenter 1: Alekhya Malla Topic 1: Automating Descriptive Response Analysis using BERT language model _____________________________________________ | Chair: Alekhya Malla Teams link: Session 04 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM |
Presenter 2: Shingo Kise Topic: Internship at One Code Club _____________________________________________ | |
| 5:15 PM – 5:35 PM |
Presenter 3: Alekhya Malla Topic 2: Internship at eFulgent |
Session 05
| 4:35 PM – 4:55 PM | Presenter 1: Shelby Lynch Topic: Time Series Analysis of Tree Distribution _____________________________________________ | Chair: Yared Shewarade Teams link: Session 05 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Fernando Mckenzie Gooden Topic: Exploring The Benefits of The Onion Router, Tails OS, and The Significance of Information Freedom _____________________________________________ | |
5:15 PM – 5:35 PM
|
Presenter 3: Deepti Venkatesh Topic: Modern Consent Management and Data Sovereignty
|
Session 06
| 4:35 PM – 4:55 PM |
Presenter 1: Kristine Harris Topic: AWS Cloud Advantages for the Federal Aviation Administration _____________________________________________ | Chair: Shravya Nangineni Teams link: Session 05 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM |
Presenter 2: Adrian Wilkinson Topic: On the Benefits of a Proposed Method of Quantifying Complexity Induction for the Purpose of Generating Feedback Loop Parameters _____________________________________________ | |
5:15 PM – 5:35 PM – |
Presenter 3: Ian McGeoy Topic: Information Consolidation Using Web Scraping With Go and Python |
Session 07
| 4:35 PM – 4:55 PM | Presenter 1: Andre Idlebird Topic: IoT In Healthcare: The Digital Angels _____________________________________________ | Chair: Serkan Hiziroglu Teams link: Session 06 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Marie Aimee Karumuhinzi Topic: Using Artificial Intelligence to Uncover Critical Divorce Predictors _____________________________________________ | |
| 5:15 PM – 5:35 PM |
Presenter 3: Yin Yin Tan Topic: An Artificial Intelligence Approach to Predicting Heart Disease in the United States
|
Session 08
| 4:35 PM – 4:55 PM | Presenter 1: Ranjit Das Topic: Application Security Solution using Keycloak _____________________________________________ | Chair: Anna Kriuchkova Teams link: Session 06 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Luis Linares Medina Topic: Backend Legacy Data Migration to Cloud Platform | |
|