Become a sponsor to Masoud Jamshidiyan Tehrani
Support Cutting-Edge Research in Autonomous Vehicle Testing and Security
Hello! I'm Masoud Jamshidiyan Tehrani, and I'm a PhD Student and researcher dedicated to improving the safety and reliability of next-generation Autonomous Driving (AV) systems.
My work centers on developing practical open-source tools and frameworks that bridge the gap between academic research and real-world application, particularly in challenging simulation environments.
What Your Sponsorship Supports:
Your support is an investment in open-source infrastructure used by researchers and developers worldwide:
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PCLA Framework: My most prominent project, PCLA (Pretrained CARLA Leaderboard Agents), simplifies the deployment and testing of high-performing autonomous agents in the CARLA simulator. Sponsorship ensures continued development, integration with the latest CARLA versions, and new features to make AV testing more accessible.
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Security & Taxonomy Research: I contribute artifacts related to my research on system-level attacks on Deep Learning models in AVs. Your help supports turning these findings into usable tools and documentation for the community.
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Maintenance & Accessibility: Maintaining complex open-source projects takes significant time. Your funding helps me dedicate consistent effort to addressing issues, improving documentation, and supporting users.
By sponsoring my work, you become a key partner in making autonomous systems more robust, secure, and ready for the future.
Thank you for considering a sponsorship!
Featured work
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MasoudJTehrani/PCLA
PCLA: A framework for testing autonomous agents in the CARLA simulator
Jupyter Notebook 91 -
MasoudJTehrani/sys-tax-artifact
A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles
Python 1