Dr. Tu received his Ph.D. degree under the supervision of Prof. Alan C. Bovik in Electrical and Computer Engineering from The University of Texas at Austin, Austin, TX, USA, in 2022 Summer. Afterward, he worked at Google Research on computational imaging and generative models. He has been involved in multiple product through interning at Google Research, Pixel Camera, and YouTube team. Dr. Tu has authored 30+ peer-reviewed international journal/conference papers in related areas. He has received Best Paper Nomination Award at CVPR 2022, won the First Place at the AI4Streaming Video Quality Challenge held at CVPR 2024, been acknowledged with highlights in Google Research's Annual Blog, and featuring in Google I/O media outlets. He served as technical reviewers for over 18+ international journals/conferences, such as IEEE TPAMI, IJCV, TIP, TCSVT, TMM, TCI, TSTSP, RA-Letters, IROS, ICRA, NeurIPS, CVPR, ICCV, ECCV, WACV, ICIP, VCIP, ISCAS, etc.

Our group at Texas A&M University strives to explore cutting-edge generative and multimodal AI technologies, including core data generation, modeling, and alignment, as well as their domain-specific adaptations on real-world applications, such as autonomous vehicles/mobility, robotics, and healthcare.