My name is Victor Li. Thanks for checking out my GitHub!

I'm a Master’s student in Computer Science at Carleton University with research interests in machine learning, wireless communications, distributed systems, and optimization.

• Developing federated and task-driven deep learning systems for wireless communications, with a focus on OFDM channel estimation and symbol detection.
• Researching task scheduling and optimization algorithms for heterogeneous cloud computing systems, including work on the IKHeft scheduling algorithm for efficient resource allocation and reduced makespan.
• Exploring applications of reinforcement learning, distributed learning, and resource optimization in real-world systems.
• Previously worked on multi-agent political coalition simulations, cloud scheduling optimization, and applied ML systems.

• Published research at international conferences including ICSIM 2026 and ICCCAS 2026.
• Research areas include:
  • Federated Learning
  • Wireless Communications
  • Deep Learning
  • Resource Scheduling
  • Reinforcement Learning
  • Distributed AI Systems

• Former President of the Carleton Computer Science Society (CCSS).
• Worked with the CCSS Dev Team on projects including the CCSS website and the COMP 2404 auto-grader.
• Passionate about building tools, mentoring students, and creating tech communities through workshops, hackathons, and networking events.

• Competitive endurance athlete training for a Half Ironman 🏊🚴🏃
• Competed internationally in Dragon Boat 🚣
• Enjoy 🎧 music, ♞ chess, 📖 reading, and side projects
• Born in 🌇 Toronto, now based in 🏛 Ottawa

💬 "Live your life filled with oh-wells instead of what-ifs."