Background

Dr. Mallikarjun Shankar is the Group Leader for the Advanced Data and Workflows Group in the National Center for Computational Science at Oak Ridge National Laboratory. He also is the director of the Compute and Data Environment for Science (CADES) at ORNL.

Dr. Shankar received his B.Tech. from the Indian Institute of Technology, Mumbai, and his M.S. and Ph.D. in computer science from the University of Illinois, Urbana. After his doctoral research he worked in industry designing and building next-generation content distribution infrastructures. His research in the national laboratory setting has involved designing national scale healthcare-data analysis and modeling systems, sensor networking systems, energy grid monitoring and control frameworks, and developing mechanisms to overlay data middleware, computation, and control across domain-dependent infrastructures. His sponsored R&D project outputs have several active users in the federal government as well as in the commercial sector. His research has resulted in over sixty peer-reviewed publications including those that address jointly modeling and simulating systems coupled with observational data, incorporating policy constraints, and creating scalable cross-facility data middlewares. He serves on the DOE ASCAC subcommittee on Science and Technology Information and is a member of the ACM and the IEEE Computer Society.

Education

2001
University of Illinois
Computer Science
Doctor of Philosophy (Ph.D.)
1995
University of Illinois
Computer Science
Master of Science (M.S.)
1992
Indian Institute of Technology
Computer Science and Engineering
Bachelor of Science (B.S.)

R&D Activities Contributions

CADES – Compute and Data Environment for Science - CADES is an ORNL facility to support R&D staff’s scalable computing and data analytics needs—making a research computing toolkit available to every research scientist. CADES…

Grid Modernization – Laboratory Consortium - The Grid Architecture project objectives are to provide a set of architectural depictions, tools, and skills to the utility industry and its extended stakeholders to…

Scalable Data Services Lifecycle and Orchestration - The Advanced Data and Workflow group brings a holistic view to scalable services that span the data lifecycle including how our users ingest, create, analyze,…

Scientific Data Management System (SDMS) - The Scientific Data Management System (SDMS) is a cross-facility data storage, indexing, collaboration, and provisioning system for data generated and used by research scientists within…

Highlights