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, Mar 13th, 2025
Time: 4:30PM-5:30PM PT
Contact: buianhthivan@cityuniversity.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)
TJ Kim
Associate Faculty,
School of Technology & Computing
(CS687)
School of Technology & Computing
(CS687)
Ahreum Ju
Associate Faculty,
School of Technology & Computing
(CS687)
School of Technology & Computing
(CS687)
Kendra E. Schraml
Associate Faculty,
School of Technology & Computing
(CS497)
School of Technology & Computing
(CS497)
Session Chairs
Ana Karina Balcazar Sanabria
Naveena Moddu
Namrata Vijay Mali
Honorine Ndom Ndzah
Kina Anh Bui
Ashwin Shastry Paturi
Presenters
Name : Varunprakash Shanmugam
Green LMS with Energy-Efficient Architecture
Course: CS687
Description: Green LMS integrates green computing, optimized cloud management, and carbon-aware scheduling to reduce energy consumption in online education. By using serverless computing and dynamic resource allocation, it enhances efficiency while minimizing waste. This sustainable approach ensures high performance, aligns with global sustainability goals, and sets a new standard for eco-friendly learning platforms.
Name: Gayatri Soni
AI Trip Planner Application
Course: CS687
Description: AI Trip Planner Application is a smart travel assistant that helps users plan their trips efficiently. It provides personalized recommendations for hotels and activities based on user preferences such as budget, destination, travel companions, and trip duration. The app optimizes the itinerary to ensure a well-balanced and enjoyable travel experience. With AI-driven suggestions, users can explore the best options tailored to their needs, making trip planning effortless and stress-free.
Name: Jeff Mobley
Deep Learning and Computer Vision for Precision Weed Management in Agriculture
Course: CS497
Description: By bridging the research gap between emerging AI technology and actual agricultural use, this study records AI-based systems’ potential to transform weed control, reduce environmental effects, and promote agricultural sustainability while addressing field deployment challenges.
Name: Asia Shvets
An AI-based tool for Creating Social Stories for Children: NiteStory.AI
Course: CS687
Description: This project introduces an AI-Based Storyteller App that harnesses Retrieval-Augmented Generation (RAG) in conjunction with multiple large language models (LLMs) to produce dynamically personalized social stories. By integrating child-specific data – such as developmental milestones, personal interests, and common challenges – into the narrative creation process, the system ensures each story is highly relevant, engaging, and supportive of the child’s unique needs.
Name: Chelsy Aryeetey
AI-Enhanced Cybersecurity Training: Transforming the Human Factor from Weakest Link to Strongest Defender.
Course: CS497
Description: When it comes to the security of network systems, humans have always been described as the weakest link. To curb this situation, traditional cyber security awarenesses training programs have been put in place to help inform users on the threats and vulnerabilities that affect their systems. However, over the past few years, there has been a rise in human error contributing to security breaches. This capstone project is an extensive research project that demonstrates how ai-enhanced training programs can reduce the rate at users become security risks.
Name: Irene Gwyneth Smith
Predicting Wildfires in Washington State using Python
Course: DS687
Description: This project uses machine learning to improve wildfire risk prediction in Washington State, enhancing disaster preparedness and response.
Name : Sathvika Kasthuri
Smart Financial Companion for International Students Overseas
Course: CS687
Description: The AI-Powered Personal Finance Advisor is an invaluable resource for overseas students studying in to keep track of their spending, create a budget, and invest wisely. Guaranteeing financial stability and improved decision-making in a dynamic financial landscape, it offers real-time financial insights, personalized savings strategies, and secure transactions through the use of AI-driven analytics and blockchain security.
Name: Jay Stern
Automation in Local Area Network (LAN) administration. How can AI improve Quality?
Course: CS497
Description: Exploring whether AI driven automation can enhance the quality and efficiency of network administration within the Local Area Network.
Name: Yogesh Goel
Smart Doctor Appointment using LLM: DoctorGo
Course: CS687
Description: DoctorGo project is a language model (LLM) and artificial intelligence (AI) framework that uses Lang Graph and Lang Chain to enhance customer service in medical clinics.
Name: TBA
TBA
Course: CS497
Description: TBA
Name : Jayasudha Kalamegam
Creating A Robust Saver Expense Application: Smart Finance.
Course: CS687
Description: Smart Finance is a web app for managing finances. Users can register, log in, and manage transactions and categories via a backend API with MongoDB. The dashboard visualizes income and expenses using charts. A chatbot provides personalized financial tips using RAG and LLM, offering actionable advice. It helps users save money, make informed decisions, and achieve financial goals through intuitive tools.
Name: Manjot Singh
Bridging the knowledge gap : Role of RAG in modern AI applications
Course: CS687
Description: With this project I’m trying to show the impact of AI applications especially powered with LLMs and RAG on improving the traditional ways of customer support.
Customer post their queries on various channels such as emails, calls and tweets. This project will resolve the customer queries posted on twitter in real time using the knowledge base created with RAG.
Name: Jamie Johnson
Current Cybersecurity Training Practices and How to Improve Them for Retention
Course: CS497
Description: Looking into ways for businesses or organizations to strengthen cybersecurity training so employees retain the knowledge necessary to avoid devastating cyber attacks and why current methods might not be working.
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: Kina Anh Bui Teams link for all sessions: Main |
| 4:35 PM – 4:55 PM | Presenter 1: Irene Gwyneth Smith Topic: Predicting Wildfires in Washington State using Python _____________________________________________ | Chair: Ana Karina Balcazar Sanabria Presentation: 15 Minutes Q&A: 5 minutes |
| 4:55 PM – 5:15 PM | Presenter 2: Chelsy Aryeetey Topic: AI-Enhanced Cybersecurity Training: Transforming the Human Factor from Weakest Link to Strongest Defender. ____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Jamie Johnson Topic: Current Cybersecurity Training Practices and How to Improve Them for Retention | |
Session 02
4:35 PM – 4:55 PM | Presenter 1: Jeffrey Mobley Topic: Deep Learning and Computer Vision for Precision Weed Management in Agriculture _____________________________________________ | Chair: Namrata Vijay Mali Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Egor Stabrovskiy Topic: TBA _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Jay Stern Topic: Automation in Local Area Network (LAN) administration. How can AI improve Quality? |
Session 03
4:35 PM – 4:55 PM | Presenter 1: Yogesh Goel Topic: Smart Doctor Appointment using LLM: DoctorGo _____________________________________________ | Chair: Honorine Ndom Ndzah Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Jayasudha Kalamegam Topic: Creating A Robust Saver Expense Application: Smart Finance. _____________________________________________ | |
Session 04
4:35 PM – 4:55 PM | Presenter 1: Asia Shvets Topic: An AI-based tool for Creating Social Stories for Children: NiteStory.AI _____________________________________________ | Chair: Naveena Moddu Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Kasthuri Sathvika Topic: Smart Financial Companion for International Students Overseas | |
Session 05
4:35 PM – 4:55 PM | Presenter 1: Manjot Singh Topic: Bridging the knowledge gap : Role of RAG in modern AI applications _____________________________________________ | Chair: Ashwin Shastry Paturi Presentation: 15 Minutes Q&A: 5 minutes |
4:55 PM – 5:15 PM | Presenter 2: Shanmugam Varunprakash Topic: Green LMS with Energy-Efficient Architecture _____________________________________________ | |
| 5:15 PM – 5:35 PM | Presenter 3: Soni Gayatri Topic: AI Trip Planner Application |