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, Jun 6th, 2024
Time: 4:30PM-5:30PM PT
Contact: buianhthivan@cityu.edu
Advisors
DR. Brian Maeng
Professor,
School of Technology & Computing
(DS687)
School of Technology & Computing
(DS687)
DR. Sam Chung
Professor,
School of Technology & Computing
(CS687)
School of Technology & Computing
(CS687)
Michael Lahman
Professor,
School of Technology & Computing
(CS497)
School of Technology & Computing
(CS497)
Dr . Patrick Offor
Associate Faculty,
School of Technology & Computing
(CY665)
School of Technology & Computing
(CY665)
Session Chairs
Asia Shvets
Yogesh Goel
Chen Yuan
Jonathan Koerber
Kina Bui
Naveena Moddu
Anh Nguyen
Shahid Khan
Clark Ngo
Presenters
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.
Name: Qamar Mahmood
Cloud Migration
Course: CS497
Description: Cloud migration using tools and automation.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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 _____________________________________________ | Advisor: Dr. Sam Chung Chair: Kina Anh Bui Teams link for all sessions: Main |
| 4:35 PM – 4:55 PM | Presenter 1: Nuha Alarfaj Topic: Hacking Antidote: Developing Awareness and Education Strategies for the Most Vulnerable Among Us. _____________________________________________ | Chair: Anh Nguyen Presentation: 15 Minutes Q&A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Brandi Brown Topic: Securing IoT: Alignment of Law, Regulation, and Technology _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Dan Montague Topic: Utilizing Linked Data to Map Cybersecurity Document Semantics | |
Session 02
4:35 PM – 4:55 PM | Presenter 1: Joseph Williams Topic: Comparison of Tele-Work Options _____________________________________________ | Chair: Jonathan Koerber Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Benita Bahoya Topic: A Security analysis of IoT devices in Healthcare: A closer look at infusion pumps _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Anna Kriuchkova Topic: Designing an LLM-Based Chatbot Based on Custom Tabular Data |
Session 03
4:35 PM – 4:55 PM | Presenter 1: Yared Shewarade Topic: CryptoProphet: Building a Cryptocurrency Portfolio app with Integrated Market Predictive Models _____________________________________________ | Chair: Clark Ngo Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Pratik Patel Topic: Blogz App _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Jamel Jara Topic: The Use of Artificial Intelligence (AI) to Detect and Predict Skin Cancer Types |
Session 04
4:35 PM – 4:55 PM | Presenter 1: Wella Coleman Topic: GrammarLab: An Educational Mobile App for Parts of Speech Learning _____________________________________________ | Chair: Naveena Moddu Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Vaishnavi Mandage Topic: Live Location Tracking For Person’s Safety _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Giang Nguyen Topic: Digital Order Form Web Application |
Session 05
4:35 PM – 4:55 PM | Presenter 1: Serkan Hiziroglu Topic: Adversary Machine Learning: Exploring the Vulnerabilities of AI Models _____________________________________________ | Chair: Asia Shvets Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Dinesh Perni Topic: Campus Companion – Your College Events and Deadlines Guide _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Lakshmipathi Machineni Topic: CollabDiverse |
Session 06
4:35 PM – 4:55 PM | Presenter 1: Umutbek Abdimanan Uulu Topic: GreenSchedule (Crew Management System) _____________________________________________ | Chair: Yogesh Goel Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Shingo Kise Topic: A Case Study of an LLM-Empowered Internship Placement System _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Runhan Shen Topic: A Secure and Motivated Fitness Mobile App |
Session 07
| 4:35 PM – 4:55 PM | Presenter 1: Merid Abate Topic: The Main Challenges of Developing Blockchain-Based Applications _____________________________________________ | Chair: Chen Yuan Presentation: 15 Minutes Q&A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Luis Naranjo Topic: Using wearable technology for consistent naps _____________________________________________ | |
Session 08
| 4:35 PM – 4:55 PM | Presenter 1: Kiet To Topic: Augmented Reality (AR) in Education _____________________________________________ | Chair: Shahid Khan Presentation: 15 Minutes Q&A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Qamar Mahmood Topic: Cloud Migration _____________________________________________ | |