I'm Mohamed Rayan Barhdadi, a third-year Electrical Engineering student and researcher at Texas A&M University, where I also pursue a minor in Mathematics. My research focuses on machine learning and computer vision, particularly 3D computer vision and AI for social good, though I remain open to exploring interdisciplinary domains where ML can create meaningful impact. I have published my research at top-tier venues including ICML 2025 and have work currently under review at NeurIPS 2025, and I'm fortunate to work as a Student Researcher at the Kurban Intelligence Lab.

PhysicsNeRF: I developed PhysicsNeRF, a physics-guided framework that integrates physical constraints into neural radiance fields for 3D reconstruction from sparse views—achieving 21.4 dB PSNR using only 8 input images. This work, accepted at ICML 2025 Building Physically Plausible World Models, addresses fundamental challenges in sparse view 3D reconstruction with applications in robotics, autonomous systems, medicine, and virtual reality.

EMPATHIA: I created EMPATHIA, a multi-agent AI framework for refugee integration that employs emotional, cultural, and ethical reasoning agents to make transparent, explainable, value-aligned reasoning for integration decisions. This human-AI collaborative system, under review at NeurIPS 2025 Creative AI track, demonstrates how AI can preserve human dignity when machines participate in life-altering decisions.

I have the chance to work under the supervision and collaborate with: Dr. Hasan Kurban and Dr. Erchin Serpedin on AI for social good, Dr. Hasan Kurban and Dr. Hussein Alnuweiri on 3D neural rendering, and Dr. Halima Bensmail & Dr. Michael Aupetit at QCRI on clustering algorithms.