Michael Doggett

Michael Doggett is an Associate Professor and Senior Lecturer in the Department of Computer Science at Lund University, affiliated with ELLIIT and the LTH Profile Area: AI and Digitalization. His research focuses on image synthesis leveraging custom and programmable hardware, with contributions to real-time rendering, GPU programming, and augmented reality. He holds roles as Director of Third Cycle Studies and Project Manager, and has led initiatives in efficient GPU programming and real-time pixel synthesis.

Education details are not explicitly listed, but his work aligns with UN Sustainable Development Goals related to innovation and infrastructure. His research interests emphasize hardware acceleration, light transport algorithms, and rendering efficiency. Recent publications explore opacity micromaps, sparse shading in AR, and caustics modeling.

He supervises PhD projects such as 'DLXR: Real-Time Pixel Synthesis' and 'Efficient GPU Programming'. Notable collaborations include work with Facebook (2018-2020) and organizing the ACM SIGGRAPH Symposium. His grants include projects funded by the Swedish Research Council and ELLIIT.

Michael is a member of Lund University's Parallel Systems research group and actively contributes to academic conferences and peer review.