My name is Victor Li. Thanks for checking out my GitHub!
I'm a Masterβs 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 ππ΄π
- Competed internationally in Dragon Boat π£
- Enjoy π§ music, β chess, π reading, and side projects
- Born in π Toronto, now based in π Ottawa
π¬ "Live your life filled with oh-wells instead of what-ifs."


