Jorge Alejandro Amador Herrera
Visiting Assistant Professor and Research Scientist
Research Interests
Professor Herrera's research interests span computer graphics, computer vision, and artificial intelligence, with a focus on developing physically grounded methods for generating immersive digital experiences and interactions with virtual worlds.
Prior to joining MBZUAI, Professor Herrera earned his Ph.D. in Applied Mathematics and Computational Sciences from KAUST, where he was awarded the KAUST Fellowship and the CEMSE Dean’s List Award for academic excellence. His doctoral research focused on the physically based simulation of weather phenomena, integrating computer graphics, scientific computing, and machine learning. He has also held research positions at Adobe, where he developed real-time frameworks for digital humans—including hair simulation and deformable distance fields—and at CERN, where he contributed to data-driven anomaly detection techniques for high-energy physics experiments at the CMS detector. Earlier in his career, he pursued research in cosmology, molecular dynamics, and scheduling optimization at UNAM.
- Postdoctoral Position at MBZUAI in CV
- M.Sc. and Ph.D. in Applied Mathematics and Computational Sciences from KAUST
- B.Sc. in Physics and B.Sc. in Mathematics both at UNAM
KAUST Fellowship and the CEMSE Dean’s List Award for academic excellence
- Augmented Mass-Spring Model for Real-Time Dense Hair Simulation, ICCV 2025
- Perm: A Parametric Representation for Multi-Style 3D Hair Modeling, ICLR 2025
- Thunderstruck: Visually Simulating Electrical Storms, TVCG 2025
- Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation, SIGGRAPH Asia 2024 Real-Time Live!
- Cyclogenesis: Simulating Hurricanes and Tornadoes, ACM Transactions on Graphics (SIGGRAPH) 2024