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Jiannan Tian will join Oakland University as a tenure-track Assistant Professor in Fall 2025, and is seeking self-motivated Ph.D. students to start their study from Spring 2026 or later. His research covers scientifica computing, large-scale data reduction, data analytics, and understanding AI, etc. He is collaborating with many researchers to innovate in building efficient HPC/AI cyberinfrastructure.

Jiannan Tian received his Ph.D. degree in Intelligent Systems Engineering (Computer Engineering Track). During his Ph.D. study, he worked as a student intern at Argonne National Laboratory (ANL), and published peer-reviewed work at top-tier venues. He is also the leading developer of open-source pSZ/cuSZ (link), a reference design of GPU-accelerated scientific lossy compressor.

For students interested in Ph.D. study, please reach out to f"{my_firstname[0].lower()}{my_lastname.lower()}+phdstudy@{my_affiliation.split()[0].lower()}.edu" with a brief introduction, CV, and academic transcripts.