JAN 12: AWS Research Initiatives with the National Funding BodiesLocation: TA 117 | Directions | Add To Calendar
Speaker: Sanjay Padhi, Ph.D (AWS Research and Technical Computing)
Dr. Sanjay Padhi leads AWS's federal initiatives with the National Science Foundation (NSF). He also leads our global HEP related activities. Dr. Padhi has more than 15 years of experience in large-scale distributed computing, Data Analytics and Machine Learning. He is the co-creator Workload Management System (glideinWMS), currently used for all the data processing and simulations activities by CMS, one of the largest experiments in the world at CERN, consisting of more than 180 institutions across 40 countries. He also co-founded the ZEUS Computing Grid project at Deutsches Elektronen-Synchrotron (DESY), Germany before joining CERN. Sanjay obtained his Ph.D from McGill University in High Energy Physics and is also currently appointed by the Dean of Faculty as an Adjunct Associate Professor of Physics at Brown University.
This talk will provide an overview of AWS Infrastructure, advanced services such as Machine Learning, Data Analytics, Streaming Analytics, HPC, etc. for research computing. With recent collaboration with the national funding agencies, these cloud related services will provide researchers access to cutting-edge technology in order to accelerate science. A few examples will be drawn from the Large Hadron Collider (LHC) at CERN, AWS Open Data Program, NASA's Desert research, etc.
The AWS Research Initiative with funding agencies such as the National Science Foundation (NSF) in the domains related to foundation and innovative track will be discussed, including process and procedure for funding applications in Big Data domains such as coastal hazards, industrial big data, habitat planning, etc. NIH Commons program for Cloud credits along with AWS Research Credit program will also be outlined.
Please download the slides for this talk here
|09:00 AM - 10:00 AM||AWS Research Initiatives
with the National Funding Bodies
|10:00 AM - 10:30 AM||General Q & A Session|
|10:30 AM - 10:45 AM||Break|
|10:45 AM - 11:15 AM||One-on-One Session with Expert|
|11:15 AM - 11:45 AM||One-on-One Session with Expert|
|11:45 AM - 01:00 PM||Lunch Break|
|01:00 PM - 01:30 PM||One-on-One Session with Expert|
|01:30 PM - 02:00 PM||One-on-One Session with Expert|
|02:00 PM - 02:30 PM||One-on-One Session with Expert|
|02:30 PM - 02:45 PM||Break|
|02:45 PM - 03:15 PM||One-on-One Session with Expert|
|03:15 PM - 03:45 PM||One-on-One Session with Expert|
|03:45 PM - 04:15 PM||One-on-One Session with Expert|
More InformationNSF also funds 4 Big Data Hubs in the country that UCF researchers can associate with or get help https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505264
- The South BD Hub, encompassing 16 states and the District of Columbia, will be jointly coordinated by Georgia Institute of Technology and the University of North Carolina.
Domains: coastal hazards, industrial big data, materials and manufacturing, and habitat planning.
- The Northeast BD Hub, containing 9 states, will be coordinated by Columbia University.
Domains: Energy, finance, data science for education, and climate and the environment.
- The Midwest Hub covers 12 states and will be coordinated by the University of Illinois at Urbana-Champaign.
Domains: Agriculture; the food, energy, and water nexus; and smart cities. It will also work closely with the National Data Service, another data-centric consortium.
- The West Hub covers 13 states, including Alaska and Hawaii. It will be jointly coordinated by the University of California, San Diego, the University of California, Berkeley, and the University of Washington.
Domains: Big data technologies and data-intensive discovery, managing natural resources, and hazards and precision medicine