Sian Jin

Sian Jin is an Assistant Professor in the Department of Computer & Information Sciences at Temple University. He holds a Ph.D. in Computer Engineering from Indiana University (2023) and a B.S. in Physics from Beijing Normal University (2018). His research focuses on high-performance computing (HPC), data reduction, and machine learning optimization, particularly leveraging lossy compression techniques to improve scientific data analytics and management.

Key achievements include over 20 top-tier publications (SC, VLDB, EuroSys, etc.), development of frameworks like Foresight and DeepSZ, and recognition via awards such as the SC 2022 Student Grant and DGRP 2022. His work addresses challenges in parallel I/O acceleration, error-bounded compression for scientific simulations, and efficient DNN training through compression.

Current research emphasizes in situ task scheduling for HPC applications and neural network-driven super-resolution techniques. He advises on Ph.D. opportunities in HPC, machine learning, and data reduction systems.