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
Description: The purpose of this internship was to create an incident response and triage process for a team in the Threat Detection and Response department at Nordstrom.
Description: This project looks at integrated smart home and home security systems and how safe they are for the user. Most people, even if they don’t use the devices, have an opinion on the safety of the devices and what they would and would not have in their home. There have also been news reports of things going awry with these devices in users’ homes. This project will examine the background of how these devices works, look into the breaches that have been in the news and their resolution, test the open-source code available from the service providers, and analysis the results.
Description: This Capstone aims to complete this topic by understanding Java’s development management tool – Maven- and comparing and analyzing enterprise open-source software.
Description:Keylogging programs are used to retrieve or attempt to retrieve confidential information. This act is malicious and seeks to steal computer users’ confidential information by monitoring keystrokes.
Description: Emerging Trends on How to Build a Culture of Security Within Organizations.
Description: The project scope was to create a content- and knowledge-based neural network that uses games that a user has already played to predict whether or not a user would like games that are newly introduced to the market. Similar to how Netflix may recommend a new show or movie to you based on what you have watched in the past.
Description: The project t focuses on some of the network policies and how we can strengthen them to prevent breaches also lack security policies allow unwanted visitors to gain access
Description: The project is to design a collaborative Online judge system, the collaborative online judge is a full-stack web app supporting collaborative online code editing, compiling, execution and result judgment. This collaborative-online-judge-system is a full-stack project with an Angular-based front end, NodeJS based restful API, and docker-based code execution engine.
Description: Speech-to-text in regard to usage in the education field for ADHD students and the accuracy rates as a risk.
Description: The main goal is to provide a testing framework to compare two simple web apps built using MEAN and MERN stack.
Description: With several hundred new breweries opening every year, beer drinkers with discerning palates have more options than ever. The motivation behind this project — to utilize machine learning and available data to create a beer recommendation engine that can curate a customized list of recommendations. With the use of collaborative filtering, the engine is able to provide accurate and robust recommendations to the user.
|4:30 PM – 4:35 PM
Greeting & Announcement
Advisor: Dr. Sam Chung
Chair: Anahita Raeiszadeh
Teams link: Main
|4:35 PM – 4:55 PM
Presenter 1: Rima Akileh
Topic: Incident Response and Triage
Chair: Alekhya Malla
Teams link: Session 01
Presentation: 15 Minutes
Q& A: 5 minutes
|4:55 PM – 5:15 PM
Presenter 2: Chi-Hsuan Chiang
Topic: Construction of Java Enterprise Development Management
|5:15 PM – 5:35 PM
Presenter 3: Annette Fulce
Topic: Keylogging; why are my keystrokes being recorded Short Description of the topic