School of Technology and Computing
Applied Research Symposium
Fall 2022

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)
Dr. Ali Khamesipour
Assistant Professor, School of Technology & Computing
(CS 687 )
Dr. Sion Yoon
Assistant Professor, School of Technology & Computing
(CS 665 )
Dr. Brian Maeng
Associate Professor, School of Technology & Computing
(DS 687 & DIT 699)
Kendra Schraml
Assistant Professor, School of Technology & Computing
(CS 497)
Darron Johnson
Assistant Professor, School of Technology & Computing
(CS 497)
Session Chairs

Anahita Raeiszadeh

Veerendra Jagatha

            Alekhya Malla 

         Christopher Sharp

         Shravya Nangineni     

Yared Shewarade

              Yared Shewarade

Mahathi Vucha

Sakshi Desai

Presenters
Rima Akileh

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. 

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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.

profile

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.

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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.

Winter Wells

Name : Winter Wells

Course: CY 685

Beyond Awareness Training

Description: Emerging Trends on How to Build a Culture of Security Within Organizations.

 
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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.

kurrum shahzad

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 

IP Chan

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.

 
 
Jeniffer Jamiel

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.

 
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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.

 

 

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Pascal Seva

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

Contact Us

raeiszadehanahita@cityuniversity.edu