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Jiannan Tian joined 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 scientific computing, large-scale data reduction, data analytics, in situ neural-hybrid data reconstruction, and understanding AI, etc. He is collaborating with many researchers to innovate in building efficient HPC/AI cyberinfrastructure.

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.

Jiannan Tian is active in HPC research. According to CSRankings, his publications in leading HPC venues place his affiliated university at #43, tied with Indiana University, which has six faculty members contributing to that ranking (as of early 2026).