Mohammad P. Toopchinezhad

About Me

My full name is Mohammad Parsa Toopchinezhad. I am a Master’s student at Concordia University studing CS. My research primarily focuses on applying Machine Learning (ML)–particularly Reinforcement Learning (RL)–to solve various real-world problems. Currently, I am working with my supervisor, Dr. Bentaleb, to develop adaptable ML agents for next-generation computer networks.

Research Interests

• Reinforcement Learning: applied, theoretical, model-based, meta-RL, multi-agent, …
• Computer Networks: queue management, routing, resource allocation, SDN, VNF, wireless, …
• Machine Learning: data augmentation, object detection, transfer learning

Publications

My Presentations & Videos

• Accelerating Neural Networks with CUDA [Slides]
• DRL for Delay-Optimized Task Offloading in Vehicular Fog Computing [Slides]
• Scheduling in the Cloud: A Theoretical and Simulation-Centered Guide [Slides]
• Data Augmentation for Image Segmentation [Slides]
• Ray-casting and the First 3D Games [Slides]
• Retrieval Augmented Generation–Merging LLMs with IR [Slides]
• Reinforcement Learning for Quadcopter Control [Slides]
• Machine Learning: A Theoritical and Practical Guide (6-part series, Persian) [Playlist]
• PyTorch in 1 Hour (Persian) [Video]

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