Bishop’s University
Belkacem Bekkour, a Bishop's student doing a MSc in Computer Science

Belkacem Bekkour, MSc Computer Science: Optimizing Energy Output Prediction in CCPPs Using Edge-Deployed Neural Networks on ESP32 MCU

Belkacem Bekkour, a Bishop's student doing a MSc in Computer Science

Belkacem Bekkour, originally from Algeria, came to Sherbrooke to pursue a thesis-based MSc in Computer Science. With a background in Electrical and Computer Engineering, he aimed to dive into advanced technologies. He chose Bishop’s University for its mix of high-quality education, personalized attention from smaller class sizes, and strong research focus in computer science. The flexibility in BU’s graduate programs, which includes both individualized and thesis-based options, was a major draw for him. This allowed him to tailor his research and coursework to match his interests and career goals.

Opting for a Thesis-Based MSc at Bishop’s University was a strategic decision to further his study in Computer Science with a focus on AI. The university’s personalized approach and emphasis on research offered an ideal environment to explore AI applications in Electrical Engineering. The smaller class sizes and direct access to faculty promised an engaging and supportive setting to blend his engineering knowledge with cutting-edge computational techniques. This setup set the stage for a career dedicated to using technology for societal benefit.

Belkacem’s journey into Applied AI in Electrical and Electronic Engineering stems from a lifelong fascination with Electrical and Computer Science. This interest began in childhood and guided him towards Electrical Engineering from high school, laying the foundation for his career. His focus on AI in this field took shape during his previous studies, under the mentorship of Professor Cherifi Dalila. As the chairwoman of the Inelectronics Students Club and his supervisor for his bachelor’s project, Professor Dalila significantly influenced his academic path. Her support boosted his confidence and guided him towards research, leading to his first publications in collaboration with her and the ITdrops team.

His current project explores how AI and edge computing can enhance energy efficiency, particularly in Combined Cycle Power Plants. This research addresses the need for better energy management in industrial settings by proposing a real-time, scalable solution. This project not only sharpens his skills in AI and edge computing but also deepens his understanding of their real-world applications. It’s a step toward his goal of designing sustainable, tech-driven solutions and preparing for a career as an innovator in sustainable technology.

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