About Me
My full name is Mohammad Parsa Toopchinezhad. I am a final year Computer Engineering student at Razi University; experienced with research and teaching. Throughout my studies, I have primarily focused on Machine Learning (ML)–particularly Reinforcement Learning (RL)–which I have successfully applied to solve various simulated and real-world problems. Currently, I am working with my supervisor, Dr. Ahmadi, to develop adaptable ML agents for next-generation computer networks.
Seeking master's position for Fall 2025
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
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arXiv
Mohammad Parsa Toopchinezhad, Mahmood Ahmadi
arXiv, 2024.
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arXiv
Mohammad Parsa Toopchinezhad, Mahmood Ahmadi
arXiv, 2024.
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SEE9
Mohammad Parsa Toopchinezhad, Mostafa Toopchinezhad, Hamid Toopchi-Nezhad
Ninth International Conference on Seismology and Earthquake Engineering (SEE9), 2024.
Experience
Teaching Assistant
Razi University | Kermanshah | Sep 2022 - Present
Research & Development Intern
Nirooye Gharb | Kermanshah | Jun 2024 - Sep 2024
- Worked on the R&D team developing a transmission tower management system
- Designed a light-weight, multistaged human detection algorithm utilizing background subtraction models and CNNs
- Implemented and tested code on Raspberry Pi computers. Applied RTSP and MQTT protocols
Founder & Chairman
Razi AI Association | Kermanshah | Sep 2023 - Aug 2024
- Led a multidisciplinary group of students as chairman. Website
- Participating in various educational and project-based activities
- Instructor of 6-part course on Machine Learning algorithms
- Instructor of course titled “PyTorch in 1 hour”
- Data Science & ML: PyTorch, TensorFlow, Scikit-learn, Matplotlib, Pandas, NumPy
- Reinforcement Learning: Gym/Gymnasium, StableBaselines3, RLlib, NS-3
- Miscellaneous: CUDA, Verilog, Git, Linux, LaTeX
- Web Development: Django, Flask, ASP.NET, HTML, CSS, JavaScript
- General: Research, Presentation, Teaching, Teamwork
My Presentations & Videos
- Accelerating Neural Networks with CUDA [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 video series, in Persian) [Playlist]
- PyTorch in 1 Hour (in Persian) [Video]
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