I will join the department of Computer Science at the University of Houston as a tenure-track assistant professor, and am seeking for 2-4 PhD students to study under my advisory starting from Fall 2024 (only for those who have submitted the applications to UH CS) or Spring 2025. My research fields include scientific computing, data compression, and AI for science. I have solid connections with national labs such as Argonne National Lab, and students have a good chance to collaborate with scientists in the national labs in their research and do internships in the national labs during their PhD studies.

About UH (University of Houston): UH is a Carnegie R1 (highest research activity) institution and among the top doctoral research universities in the US, and has a strong department of Computer Science. According to CSRankings, in 2024 UH is ranked at top 100 in Computer Science and ranked 23 in High-performance Computing (my field). According to Shanghai Ranking, in 2023 UH CS is ranked at top 70 in US. Located at The downtown Houston, the 4-th largest city in the US, students in UH can also live a convenient and enjoyable life.

About me: Jinyang Liu (full CV) acquires his Ph. D. degree in Computer Science from University of California, Riverside in the summer of 2024. Prior to that, he has got the Master's degree in Data Science from Peking University in 2019, and got the Bachelor's degress of Mathematics and Applied Mathematics from Peking University in 2016. During his Ph. D. study, Jinyang has worked on the topic of scientific data lossy compression and several other High-performance Computing and Scientific Computing topics. He has presented publications in various highly prestigious conferences and journals such as ACM SIGMOD, IEEE/ACM SC, ACM ICS, IEEE IPDPS, IEEE BigData, IEEE Cluster, IEEE TPDS, etc. He has received the Dissertation Year Fellowship (DYP) award from UCR and a Best Paper Finalist from ACM ICS 23'. He has also developed several different scientific data error-bounded lossy compressors, namely AE-SZ, QoZ, FAZ, and cuSZ-I.

About the prospective student: Several opening positions are availble in my labs for Ph. D. students starting from fall 2024 (only for ones who have submitted applications to UH CS) and spring 2025 (available to any applicants). I would like to work with you on several research topics, including but are not limited to:

• Scientific data lossy compression.
• High-performance scientific data computing and management systems.
• Deep-Learning-based data compression techniques.
• Deep-Learning-assisted scientific computing systems.

Basic requirements for the prospective students would be:

• Interests and visions in Computer Science research.
• Academic experiences in important Mathematics topics (e.g. Statistics, Linear Algebra) and Computer Science topics (e.g. C/C++ programming, Computer Architecture).

I am also looking forward to some of your additional abilities, examples are:

• Knowledge in scientific computing or numerical analysis.
• Knowledge about parallel programming on CPU or GPU platforms (e.g. OPENMP, MPI, CUDA).
• Knowledge about Deep Learning and its coding frameworks (e.g. PyTorch, Tensorflow).

For students interested in this position, please send your brief self introduction, CV and transcripts to jliu447@ucr.edu.