Kristina Cormier, Computer Science Department
Okanagan College, BC

Data Warehouse Design for Multiple Source Forest Inventory Management and Image Processing

Time & Date: Wed. Apr. 23, 2025, 5:30 pm – 6:15 pm
Location: HS-301 and Zoom, Okanagan College, 1000 KLO Rd., Kelowna, BC, V1Y 4X8.
Registration: https://events.vtools.ieee.org/m/482421

Abstract:

This research aims to implement a data warehouse (DW) to manage data for a YOLO (You Only Look Once) model, which identifies objects in images. It does this by integrating advanced data processing pipelines. Data are also stored and easily accessible for future use, allowing for comparisons between current and historical data to understand growth or decline patterns. Additionally, the design is utilized to optimize resource utilization. It also scales easily, not affecting other parts of the data warehouse when adding dimension tables or other fields to the fact table. DW performance and estimations for growing workloads are also explored in this presentation.

Bio:

Kristina Cormier is a fourth-year Computer Science student at Okanagan College. She has always been curious about science and technology. Recently, she has discovered a passion for data analysis and machine learning algorithms. Kristina is the Chair of the Okanagan College IEEE Student Branch. She coordinates with her team to help organize events and volunteering. Kristina truly enjoys mentoring, meeting new people and discovering new opportunities.

For further information, please get in touch with Youry Khmelevsky (email: Youry at IEEE.org) and subscribe to the news at okanagan@listserv.ieee.org
Refreshments will be provided

Dylan Huitema, Computer Science Department
Okanagan College, BC

Case Study for Gamification for Cybersecurity

Time & Date: Wed. Apr. 23, 2025, 4:30 pm – 5:15 pm
Location: HS-301 and Zoom, Okanagan College, 1000 KLO Rd., Kelowna, BC, V1Y 4×8.
Registration: https://events.vtools.ieee.org/m/479819

Abstract:

This presentation examines how gamification can enhance cybersecurity education by addressing challenges such as outdated teaching methods and a shortage of qualified instructors. It reviews current literature and showcases a real-world case study of a gamified cryptography tool, highlighting how hands-on, engaging learning experiences can better prepare students for the evolving cyber threat landscape.

Bio:

Dylan Huitema is a third-year Computer Science student with an enthusiasm for cybersecurity. An active IEEE member, Dylan is passionate about bridging technology and education and is currently working toward developing and researching engaging educational cybersecurity games. His research aims to increase cybersecurity awareness and build critical thinking skills through interactive, immersive learning experiences.

For further information, please get in touch with Youry Khmelevsky (email: Youry at IEEE.org) and subscribe to the news at okanagan@listserv.ieee.org
Refreshments will be provided

Ajitesh Parihar, Computer Science Department
Okanagan College, BC

Diagram Annotation and Classification for Visually Impaired People in Higher Education

Time & Date: Wed. Apr. 23, 2025, 3:30 pm – 4:15 pm
Location: HS-301 and Zoom, Okanagan College, 1000 KLO Rd., Kelowna, BC, V1Y 4×8.
Registration: https://events.vtools.ieee.org/m/479830

Abstract:

Despite advancements in accessibility for visually impaired individuals in higher education, non-textbook content, such as diagrams, remains a significant barrier. This presentation explores the development of an accessible system that leverages machine learning to classify and extract diagram features and topology. Attendees will learn about the key steps in diagram processing and the tools created to support dataset generation for training ML models.

Bio:

Ajitesh Parihar is a fourth-year Computer Science student and a Research Assistant at Okanagan College. He is a tech enthusiast who enjoys learning about innovations and technologies and is passionate about software engineering, cybersecurity, and algorithms. Ajitesh is the Vice Chair of the Okanagan College IEEE Student Branch and enjoys meeting and working with talented individuals.

Joshua Padron-Uy, Computer Science Department
Okanagan College, BC

Testing Data Pipeline Limits for Stock Market Forecasting with Machine Learning Integration

Time & Date: Wed. Apr. 23, 2025, 6:30 pm – 7:15 pm
Location: HS-301 and Zoom, Okanagan College, 1000 KLO Rd., Kelowna, BC, V1Y 4×8.
Registration: https://events.vtools.ieee.org/m/482426

Abstract:

This research aims to investigate the performance of a data pipeline system implemented using an extract, transform, load (ETL) tool under increased data volume. The system utilizes a data warehouse (DW) to support an XGBoost machine learning model for forecasting closing stock prices. The data source comes from the Financial Modelling Prep (FMP) API, which provides large amounts of real-time and historical data from the stock market.

Bio:

Joshua Padron-Uy is a fourth-year Computer Science student working on a research project in the COSC 448 Research Methodologies. He is an aspiring student seeking to work in the tech industry. He is eager to learn about various areas, including software engineering, DevOps, data science, and most recently, data engineering.

For further information, please get in touch with Youry Khmelevsky (email: Youry at IEEE.org) and subscribe to the news at okanagan@listserv.ieee.org
Refreshments will be provided