SCE Celebrates Winners of the 4th-Year Capstone Project Video Competition – 2026
Congratulations to All Our Capstone Teams!
SCE extends its warmest congratulations to the three winning teams and their supervisors for their outstanding accomplishments. Their projects reflect the technical knowledge, creativity, collaboration, and problem-solving skills that are central to the Capstone experience.
The Department of Systems and Computer Engineering (SCE) is pleased to congratulate the winners of this year’s 4th-Year Capstone Project Video Competition!
The competition showcased the creativity, technical expertise, and innovative thinking of our graduating students, who developed projects addressing a diverse range of real-world challenges. From aerial ice monitoring and smart retail technology to artificial intelligence and IoT security, the projects demonstrated the breadth of knowledge and skills developed through the Capstone experience.
After an impressive field of submissions, three teams were selected for recognition.
First Place: Project #10-UAV-Assisted System for Aerial Ice Thickness Profiling
Hubert Dang, Abdullah Baseem, Karran Dhillon, and Suren Kulasegaram
Supervisor: Abdullah Kadri
The first-place team developed a UAV-Assisted System for Aerial Ice Thickness Profiling, demonstrating an innovative approach to monitoring ice conditions using unmanned aerial vehicle technology.
Watch the winning project video
Second Place: Smart Self-Service Checkout System
Project #43
Kyle Mathias, Andrew Rivera, and Suveatha Karunakaran
Supervisor: Rose Gomar
Taking second place, the Smart Self-Service Checkout System team explored technology designed to improve the self-service shopping experience. Their project demonstrates how engineering solutions can be applied to address everyday challenges in retail environments.
Third Place: AI for Enhanced IoT Security – Trust Management
Project #55
Owen Renette, Nolan Kisser, and Lakshman Chelliah
Supervisor: Mohamed Ibnkahla
The third-place project, AI for Enhanced IoT Security – Trust Management, explored the application of artificial intelligence to strengthen trust and security within Internet of Things (IoT) environments.