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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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The Machine Learning Center at Georgia Tech presents a seminar by Dr. Sanjeev Srivastava, a senior key expert scientist at Siemens Corporate Technology The event will be held in the Marcus Nanotechnology 1116-1118 from 12:15-1:15 p.m. and is open to the public.
TITLE
AI Driven Design Approach
ABSTRACT
Design Space Exploration (DSE) is an activity that is performed to systematically analyze several design points and then select the design(s) based on parameters of interest and design requirements. For complex systems, design engineers spend a lot of time generating new design iterations using simulation-based tools. However, they do not explore the complete design space due to time-consuming design creation and analyses process, and hence do not generate optimal design but rather settle for a sub-optimal design that meets the requirements. Recently, there have been advances in the areas of Artificial Intelligence (AI), cognitive computing, Internet of Things, 3D printing, advanced robotics, that provide capabilities to transform the current design process by automating various design steps, speeding up the design and analysis toolchain, and creative decision making. Within Siemens CT we have been developing a Generative Design framework, which utilizes the AI and knowledge representation techniques in combination with traditional design methods to generate better designs in a faster manner. The talk will address various technical areas of this framework and the various AI methods which we are currently applying to optimally design parts, systems, and processes.
BIO
Dr. Sanjeev Srivastava currently works as a Senior Key Expert Scientist at Siemens Corporation, Corporate Technology, Princeton, NJ. He received his Ph.D. degree in Electrical Engineering from Texas A&M University in 2003 and MBA from Florida State University in 2008. Dr. Srivastava’s research interests and expertise includes machine learning and optimization techniques for various complex engineering problems; knowledge representation; modeling and simulation of engineering systems; advanced manufacturing; power and energy management and distributed controls. He has >25 patents and authored more than 100 technical papers for several international peer-reviewed journals and conference proceedings. He has done several projects, with internal Siemens funding as wells as Government funding, in the above-mentioned areas. Dr. Srivastava has been the PI and co-PI and technical lead on numerous projects funded internally as well by government agencies including the Office of Naval Research (ONR), Defense Advanced Research Projects Agency (DARPA), Department of Energy (DOE), National Science Foundation (NSF), and Digital Manufacturing and Design Innovation Institute (DMDII).
