He has contributed to many paper publications and technical reports, a number of open source software packages, and multiple patented and patent pending technologies. Department of Energy (DOE) and National Science Foundation (NSF) as a lead PI or Co-PI, and involved in technical program committees, steering and advisory committees for conferences, journal editorial boards, review panels and standard committees, in data, cloud computing, HPC, and networking areas. His recent research interests include high-frequency streaming data analysis methods, in-network data caching strategies, I/O optimization solutions for exascale HPC applications, and machine learning methods and statistical modeling for autonomous control for scientific data infrastructure. He has worked on R&D in data analysis and management fields for astronomy, climate change simulation, combustion modeling, cosmology, fusion science, genomics, high energy physics, nuclear science, power grid electricity and behavioral economics, over the last 23 years. Alex Sim is a senior computing engineer at Lawrence Berkeley National Laboratory.

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