Presenter

Dr. Xiaoyi Lu is an Associate Professor in the Department of Computer Science and Engineering at the University of California, Merced (UC Merced), where he leads the Parallel and Distributed Systems Laboratory (PADSYS Lab). He has been an affiliated faculty member with the AgAID Institute since 2023. His research interests include parallel and distributed computing, high-performance communication and I/O technologies, big data analytics, cloud computing, deep learning, digital twin technology, and interdisciplinary research (e.g., precision agriculture and biostatistics). Dr. Lu has published more than 170 papers in prestigious international conferences, workshops, and journals, and has received ten Best (Student) Paper Awards or Nominations (e.g., SC 2019, IPDPS 2024). He has delivered over 100 invited talks, tutorials, and presentations around the world. Dr. Lu is actively involved in various professional activities in academic journals and conferences. He has made many of his research outcomes, such as OpenDOTA, SR-APPFL, PMIdioBench, HiBD, MVAPICH2-Virt, and DataMPI, publicly available to the community, and they are currently being used by hundreds of organizations worldwide. Dr. Lu has received the NSF CAREER Award, an Amazon Research Award, a Google Research Award, and a Meta/Facebook Faculty Research Award, and his research has been funded by the NSF and DOE. For more information about Dr. Lu, please visit http://faculty.ucmerced.edu/luxi.