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,December 8th, 2022
Time: 4:30PM-5:30PM PDT
Contact:Raeiszadehanahita@cityuniversity.edu
Advisors
DR. Sam Chung
Professor, School of Technology
& Computing
(CY 685)
& Computing
(CY 685)
Dr. Ali Khamesipour
Assistant Professor, School of Technology & Computing
(CS 687 )
(CS 687 )
Dr. Sion Yoon
Assistant Professor, School of Technology & Computing
(CS 665 )
(CS 665 )
Dr. Brian Maeng
Associate Professor, School of Technology & Computing
(DS 687 & DIT 699)
(DS 687 & DIT 699)
Kendra Schraml
Assistant Professor, School of Technology & Computing
(CS 497)
(CS 497)
Darron Johnson
Assistant Professor, School of Technology & Computing
(CS 497)
(CS 497)
Session Chairs
Anahita Raeiszadeh
Veerendra Jagatha
Alekhya Malla
Christopher Sharp
Shravya Nangineni
Yared Shewarade
Mahathi Vucha
Sakshi Desai
Presenters
Name : Rima Akileh
Course: CY 685
Incident Response and Triage
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.
Name : Marissa Horner
Course: CS 687
Smart Homes and Home Security: How Smart Are They?
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.
Name : Chi-Hsuan Chiang
Course: CS 687
Construction of Java Enterprise Development Management
Description: This Capstone aims to complete this topic by understanding Java’s development management tool – Maven- and comparing and analyzing enterprise open-source software.
Name : Annette Fulce
Course: CY 685
Keylogging: Why are my keystrokes being recorded Short Description of the topic
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.
Name : Winter Wells
Course: CY 685
Beyond Awareness Training
Description: Emerging Trends on How to Build a Culture of Security Within Organizations.
Name : Taylor Pelchat
Course: DS 687
Modern Deep Neural Networks for Video Game Recommendation Systems
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.
Name: Khurram Shahzad
Course: CY 685
Network Policies
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
Name: Ip Chan
Course: CS 687
Collaborative Online Judge Service for Coding Practice with Multiple User
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.
Name: Jennifer Jamiel
Course: CS 497
Speech-to-Text
Description: Speech-to-text in regard to usage in the education field for ADHD students and the accuracy rates as a risk.
Name : Anh Nguyen
Course: CS 687
A Testing Framework to Compare Full-Stack Web Development Technologies for Beginning-Level Developers
Description: The main goal is to provide a testing framework to compare two simple web apps built using MEAN and MERN stack.
.
Name: Pascal Seva
Course: DS 687
Beer Recommender using Collaborative Filtering
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.
Schedule
Main Room & Session 01
Session 02
Session 03
Session 04
Session 05
Main Room & Session 01
| 4:30 PM – 4:35 PM | Greeting & Announcement _____________________________________________ | Advisor: Dr. Sam Chung Chair: Anahita Raeiszadeh Veerendra Jagatha 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 | |
Session 02
4:35 PM – 4:55 PM | Presenter 1: Marissa Horner Topic: Smart Homes and Home Security: How Smart Are They? _____________________________________________ | Chair: Shravya Nangineni Christopher Sharp Teams link: Session 02 Presentation: 15 Minutes Q& A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Taylor Pelchat Topic: Modern Deep Neural Networks for Video Game Recommendation Systems _____________________________________________ | |
Session 03
| 4:35 PM – 4:55 PM | Presenter 1: Winter Wells Topic: Beyond Awareness Training _____________________________________________ | Chair: Yared Shewarade Teams link: Session 03 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Khurram Shahzad Topic: Network Policies _____________________________________________ | |
|
Session 04
| 4:35 PM – 4:55 PM | Presenter 1: Jennifer Jamiel Topic: Speech-to-Text _____________________________________________ | Chair: Mahathi Vucha Teams link: Session 04 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Pascal Seva Topic: Beer Recommender using Collaborative Filtering _____________________________________________ | |
|
Session 05
| 4:35 PM – 4:55 PM | Presenter 1: Anh Nguyen Topic: A Testing Framework to Compare Full-Stack Web Development Technologies for Beginning-Level Developers _____________________________________________ | Chair: Sakshi Desai
Teams link: Session 05 Presentation: 15 Minutes Q& A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Ip Chan Topic: Collaborative Online Judge Service for Coding Practice with Multiple User _____________________________________________ | |