معرفی
Derek Nowrouzezahrai is a Full Professor at McGill University's Faculty of Engineering, holding positions in the Department of Electrical & Computer Engineering, Desautels Faculty of Management (Associate), and School of Computer Science (Associate). He holds prestigious chairs including the CIFAR AI Chair and Mila-Ubisoft AI Chair. His research focuses on simulating physics for machine learning, Monte Carlo methods, light transport editing, and fluid simulation. Recent work includes neural implicit models, differentiable rendering, and reinforcement learning applications. He has supervised over 40 students across PhD, MSc, and undergraduate levels. Awards include the Best Paper Honourable Mention and CGF Cover Image Competition wins. His courses cover numerical methods, realistic image synthesis, and advanced computer graphics. Research contributions span 150+ publications with a focus on rendering, simulation, and AI integration.
Research Interests:
- Physics-Based Simulation: Fluid dynamics, light transport, and material modeling
- Machine Learning Integration: Neural rendering, inverse problems, and generative models
- Real-Time Graphics: Efficient algorithms for global illumination and interactive visualization
- Multi-Agent Systems: Reinforcement learning for coordinated behavior
Scientific Achievements:
- Developed scalable rendering techniques like Virtual Ray Lights and gradient-domain photon estimation
- Pioneered differentiable simulation frameworks for system identification
- Contributed to open-source datasets like Kubric for computer vision research
Lab & Team: Leads a research group focusing on visual computing, with collaborations across computer science, engineering, and AI disciplines. Current focus areas include neural implicit representations and AI-driven physics simulations.
