PASC24 Opening Lecture, Program Preview, and Travel Grant Opportunities
PASC24 keynote presentation
We are thrilled to announce the PASC24 Opening Lecture, where Fei Sha will discuss how statistical learning has led to paradigm shifts in several scientific disciplines. This lecture will touch on how teams at Google Research are using generative AI for both uncertainty quantification and closure modeling. We expect a very interesting presentation that will put us all in the mindset of our PASC24 Theme: Synthesizing Applications Through Learning and Computing. We look forward to seeing you there!
Abstract
Leveraging large-scale data and accelerated computing systems, statistical learning has led to significant paradigm shifts in many scientific disciplines. Grand challenges in science have been tackled with exciting synergy between disciplinary science, physics-based simulations via high-performance computing, and powerful learning methods.
In this talk, Fei Sha will describe two vignettes of our research in this theme: probabilistic generative AI technology for uncertainty quantification, and closure modeling. He will also demonstrate how those technologies can be effectively applied to weather and climate, addressing crucial problems in those areas.
Note: The research work presented in this talk is based on joint and interdisciplinary research work of several teams at Google Research.
About the presenter
Fei Sha is currently a research scientist at Google Research, where he leads a team of scientists and engineers working on scientific machine learning with a specific application focus towards AI for Weather and Climate. He was a full professor and the Zohrab A. Kaprielian Fellow in Engineering at the Department of Computer Science, University of Southern California. His primary research interests are machine learning and its application to various AI problems: speech and language processing, computer vision, robotics and recently scientific computing, dynamical systems, weather forecast and climate modeling. Dr. Sha was selected as an Alfred P. Sloan Research Fellow in 2013, and also won an Army Research Office Young Investigator Award in 2012. He has a Ph.D in Computer and Information Science from University of Pennsylvania and B.Sc and M.Sc from Southeast University (Nanjing, China).
Additional information about Fei Sha’s scholastic activities can be found at his microsite.
Program preview: posters
The PASC24 Organizing Committee is pleased to invite you to peruse the interdisciplinary topics that will be discussed during the conference Poster Session and Reception. Authors of these contributions are eager to meet you and exchange ideas and expertise during this popular appointment on the conference program.
Travel grants for students and early career professionals by March 31
We are pleased to remind you that SIGHPC will continue to sponsor four travel grants addressed to undergraduate or graduate students AND four travel grants addressed to early career professionals who meet SIGHPC requirements. In addition to the travel assistance, PASC24 will cover the corresponding registration fees.
Applications close March 31, 2024. Further information on this offering and on the application process:
- for the student travel grants is available here,
- for the early career travel grants is available here.
Student Volunteer Program
If you are an undergraduate, master, or doctoral student in Computational Science, HPC, or related fields and you enjoy working in a dynamic and enthusiastic team, don’t miss the chance to experience the conference as a volunteer for PASC24. This is also a great chance to develop peer connections!
If you are selected as a volunteer for PASC24 you will receive complimentary conference registration.
Information on how to apply is available here.
We look forward to receiving your application!