School of Technology and Computing
Applied Research Symposium
Summer 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, Sep 5th, 2024
Time: 4:30PM-5:30PM PT
Contact: buianhthivan@cityu.edu

Advisors

DR. Brian Maeng
Professor,
School of Technology & Computing
(DS687)
DR. Sam Chung
Professor,
School of Technology & Computing
(CS687)
Michael Lahman
Michael Lahman
Professor,
School of Technology & Computing
(CS497)
Dr . Patrick Offor
Associate Faculty,
School of Technology & Computing
(CY665)
sherin aly
Sherin Aly
Associate Faculty,
School of Technology & Computing
(CS687)
Session Chairs
Asia Shvets
Asia Shvets
Yogesh Goel
Yogesh Goel
Chen Yuan
Chen Yuan
Jonathan Koerber
Jonathan Koerber
Kina Anh Bui
Kina Bui
Naveena Moddu
Naveena Moddu
Anh Nguyen
Anh Nguyen
Shahid Khan
Shahid Khan
Clark Ngo
Presenters
User Icon

Name : Anna Kriuchkova

Designing an LLM-Based Chatbot Based on Custom Tabular Data

Course: DS687

Description: This capstone project is focused on the analysis of capabilities of large language models to effectively incorporate tabular data to perform information retrieval and mathematical analysis. Existing techniques of format integration through serialization and prompt engineering will be assessed through a practical example of integrating spreadsheet reports as custom knowledge database for a GPT-based chatbot. Through this application, we intend to illustrate the state of LLMs and their integration with tabular data, as well as associated research available on this topic up to date, while attempting to identify novel effective methodologies.

User Icon

Name: Qamar Mahmood 

Cloud Migration

Course: CS497

Description: Cloud migration using tools and automation.

User Icon

Name: Dan Montague

Utilizing Linked Data to Map Cybersecurity Document Semantics

Course: CY665

Description: Exploratory study using assessment documents represented as graphs with nodes matched to the Linked Open Data Cloud using NLP. We examine the potential for path aggregation as a proxy for robust conceptual linkage between arbitrary pairs of documents such as SP800-53, CVE, and STIG.

User Icon

Name: Shingo Kise

A Case Study of an LLM-Empowered Internship Placement System

Course: CS687

Description: This project explores the integration of Large Language Models (LLMs) into an internship placement system to evaluate their effectiveness compared to traditional systems. A demo chatbot was developed to answer questions about internships using the ChatGPT API. By leveraging the advanced natural language processing capabilities of LLMs, the system aims to offer personalized and relevant information to users. The objective is to improve the effectiveness and efficiency of the internship placement process by offering specialized support and guidance, which helps students in securing internship opportunities more successfully.

User Icon

Name: Yared Shewarade

CryptoProphet: Building a Cryptocurrency Portfolio app with Integrated Market Predictive Models

Course: CS687

Description: CryptoProphet is a cutting-edge portfolio app that empowers investors with predictive insights into cryptocurrency markets. Using advanced machine learning models, including LSTM, GRU, and Bi-LSTM, it integrates an ensemble prediction system to provide accurate market forecasts.

This app solves the problem of market volatility by offering data-driven predictions, helping investors optimize their strategies and reduce risks. CryptoProphet makes informed investing accessible, ensuring you stay ahead in the dynamic world of cryptocurrencies.

User Icon

Course: CS687

Name: Giang Nguyen

Digital Order Form Web Application

Description: A web application for a digital order form was created to enhance the business workflow process and digital accuracy and reduce paper usage. This project aimed to improve the ordering process for internal staffs and sale representatives.

User Icon

Name: Kiet To

Augmented Reality (AR) in Education

Course: CS497

Description: This capstone involves integrating digital content into the real-world environment to enhance learning experiences. Through AR technology, students can interact with virtual objects overlaid with physical surroundings using devices like smartphones or AR glasses. This immersive approach enables educators to create engaging lessons that cater to various learning styles, fostering deeper understanding and retention of complex concepts.

User Icon

Name: Wella Coleman

GrammarLab: An Educational Mobile App for Parts of Speech Learning

Course: CS687

Description: GrammarLab is an innovative mobile app designed for grammar education, featuring AI-powered chatbot assistance, customizable quizzes, and a privacy-centric design. With user-friendly interfaces and personalized learning pathways, GrammarLab revolutionizes the learning experience by providing tailored grammar education for learners of all levels.

User Icon

Name: Umutbek Abdimanan Uulu

GreenSchedule (Crew Management System)

Course: CS687

Description: Landscaping businesses struggle with inefficiencies due to outdated, paper-based management systems. This project addresses the need for digital transformation in the industry by developing a dual-platform crew management system.

User Icon

Name: Brandi Brown

Securing IoT: Alignment of Law, Regulation, and Technology

Course: CY665

Description: This capstone project examines the intersection of Internet of Things (IoT) technology and the legal frameworks required to ensure security and privacy. While reviewing the complex landscape of IoT security governance, address legal obstacles, jurisdictional issues, and common vulnerabilities.

User Icon

Name: Pratik Patel

Blogz App

Course: CS687

Description: Blogzz is a social media application developed using the MERN stack (MongoDB, Express.js, React.js, and Node.js). The primary goal of Blogzz is to provide users with a seamless platform for sharing blog posts and engaging with content. This paper discusses the design, implementation, and evaluation of Blogzz, highlighting the challenges faced and solutions implemented to enhance user experience and security. Key features of Blogzz include user authentication, real-time updates, and an intuitive user interface, all of which contribute to a dynamic and interactive user experience. The application also leverages the scalability and flexibility of the MERN stack to ensure robust performance and future scalability. By analyzing user feedback and performance metrics, we continuously iterate on the platform to meet user needs and maintain high engagement levels.

User Icon

Name : Dinesh Perni

Campus Companion - Your College Events and Deadlines Guide

Course: CS687

Description: A chatbot application, your ultimate companion in helping throughout the world of college in assisting information. Application is here to keep you on track and informed about extracurricular activities, college events, and deadlines.

User Icon

Name: Luis Naranjo

Using wearable technology for consistent naps

Course: CS497

Description: The project consists of an application that uses the sensors in a wearable device (smartwatch, fitness tracker) to detect the user’s status while sleeping, so the person wakens up at the perfect time to feel well-rested after a nap, without risking feeling groggy because nap times are not consistent.

User Icon

Name: Jamel Jara

The Use of Artificial Intelligence (AI) to Detect and Predict Skin Cancer Types.

Course: CS687

Description: An important objective of this research is to evaluate how artificial intelligence impacts early detection of different types of skin cancer on large datasets. This allows providers to make better diagnosis and treatment decisions for patients.

User Icon

Name: Vaishnavi Mandage

Live Location Tracking For Person’s Safety

Course: CS687

Description: The capstone project focuses on developing a live location tracking system designed to enhance personal safety. This project aims to address the limitations of existing solutions by introducing innovative features such as multi-user tracking, route visualization, and maintaining history. My primary objective is to create a mobile application that provides seamless accessibility across different devices, integrated with a robust server infrastructure and database management system for securely storing historical location data. Through rigorous exploration and experimentation, I aim to pave the way for a safer and more connected future.

User Icon

Name : Merid Abate

The Main Challenges of Developing Blockchain-Based Applications

Course: CS497

Description: This capstone project is a deep investigation of the huge challenges that come with the development of blockchain-based applications, with a focus more on the gaps that exist between the potential of the technology and the practical difficulties in realizing its use.

User Icon

Name : Joseph Williams

Comparison of Tele-Work Options

Course: CY665

Description: Evaluate Remote Desktop and Cloud-based VPN solutions based on the capabilities inherent in Pulse Secure VPN (PSV), Nautilus Virtual Desktop (NVD), and Amazon Web Services (AWS). This analysis will help organizations and system administrators select the right solution and application for their respective organizations.

User Icon

Name : Serkan Hiziroglu

Adversary Machine Learning: Exploring the Vulnerabilities of AI Models

Course: CS687

Description: Exploring the vulnerabilities of AI models to adversarial machine learning methods, investigating how they perform, and devising potential defense strategies.

User Icon

Name: Runhan Shen

A Secure and Motivated Fitness Mobile App

Course: CS687

Description: Fitness mobile apps are vital for enhancing exercise and promoting healthy habits, but they struggle with user retention and data security. This project proposes a fitness mobile app that combines motivation with robust security measures. By offering custom objectives, adjustable challenges, and strong data protection, the app aims to boost long-term user engagement and trust. This dual approach addresses market needs, encouraging consistent app usage and contributing to overall health and well-being.

User Icon

Name: Lakshmipathi Machineni

CollabDiverse

Course: CS687

Description: University Team Building Platform is a mobile application that revolutionizes the way educators build student teams. CollabDiverse simplifies the team formation process using a proprietary algorithm that prioritizes fairness and inclusion. CollabDiverse allows teachers to seamlessly upload student information, prioritize equity, leverage the rich diversity of their classrooms, and easily create optimally balanced teams. CollabDiverse makes sure that every student is set up for success by considering their unique mix of talents, skills, and personalities.

User Icon

Name: Benita Bahoya

A Security analysis of IoT devices in Healthcare: A closer look at infusion pumps

Course: CY665

Description: The integration of IoT technology into healthcare systems has greatly improved patient care and hospitals’ processes. Unfortunately, they’ve also introduced new challenges that must be addressed in order to maintain the safety and well-being of patients. Among some of the most vulnerable IoT medical devices are smart infusion pumps, which are medical devices used to deliver fluids and medications into an individual’s body. They offer a lot of advantages, however, there’s also a lot of flaws associated with utilizing them—ranging from improper authentication to wrong medication administration—that could put patients in harm’s way. Standardizing the implementation of Dose Error Reduction Software could help prevent a lot of issues associated with infusion pumps.

User Icon

Name: Nuha Alarfaj

Hacking Antidote: Developing Awareness and Education Strategies for the Most Vulnerable Among Us.

Course: CY665

Description: A large number of people, including parents, older individuals, and children, lack awareness of potential cybersecurity threats and are at risk of various types of cyber-attacks. This study seeks to develop a quick and easy method to educate them about cybersecurity by integrating this service into their daily and favorite applications, which will assist them in safeguarding themselves from online fraud and other cyber-attacks.

Schedule

Contact Us

buianhthivan@cityu.edu