I'm an AI researcher and Computer Engineering student at Sharif University of Technology.
I’m passionate about creating AI systems that actually work in the real world; models and tools that help people, make technology more reliable, or power intelligent behaviors in interactive systems and games. Whether it’s a research idea or a weekend project, I love turning concepts into usable, practical solutions.
My academic work focuses on trustworthy and robust deep learning, especially in dynamic, real-world environments. I co-authored "FrameShield: Adversarially Robust Video Anomaly Detection" (NeurIPS 2025), where we explored how to make video anomaly detection models more reliable under adversarial conditions 🎯.
But I’m equally excited about building things you can play with, deploy, or use right away. What drives me is the idea that AI shouldn’t live only in papers, it should make a difference in practice, whether that’s enhancing reliability, supporting users, or powering intelligent gameplay.
If you’re interested in practical AI, intelligent agents, or building systems that bridge research with real-world impact, feel free to reach out!
