The NJBDA annual symposium brings together academic researchers, advanced computing students, government and industry participants to share information on the latest innovations and future directions in Big Data.
|Parashar-Cyberinfrastructure, National Science Foundation|
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|Nguyen-Zero-Shot Learning With Error-Correcting Output Codes|
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|Automating stroke lesion segmentation in brain images using a multi-model multi-path convolutional neural network|
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|dimah_Robust Deep Learning Systems Integrated with Confidence Evaluation|
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|Fisher-Using Big Data to Measure the Reaction of Authoritarian States to Tools of Foreign Policy: Case Studies of North Korea and Russia|
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|samuel-Information Driven Behavior in Experimental Stock Market Simulations|
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|Predeep-Machine Learning for Data Management in Extreme Scale Scientific Workflows|
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|White, Lab Leader, Algorithims, Analytics and Augmented Intelligence|
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|Brennan final-2019_NJ Big Data Alliance- Building a Data-Enabled Ecosystem|
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Dr. Manish Parashar, Director, Office of Advanced Cyberinfrastructure, National Science Foundation
Manish Parashar is Office Director of the Office of Advanced Cyberinfrastructure at NSF. He joins NSF from Rutgers, The State University of New Jersey, where he is currently a Distinguished Professor and the founding Director of the Rutgers Discovery Informatics Institute. His research interests are in the broad areas of Parallel and Distributed Computing and Computational and Data-Enabled Science and Engineering. Manish is Fellow of AAAS, Fellow of IEEE/IEEE Computer Society and ACM Distinguished Scientist.
Dr. Chris White, Leader, Algorithms, Analytics, Augmented Intelligence, Nokia Bell Labs
CHRISTOPHER A. WHITE leads the Algorithms, Analytics, Augmented Intelligence and Devices (AAAID) research lab in Bell Labs. He joined Bell Labs in 1997 after graduating with a Ph.D. in theoretical quantum chemistry from the University of California in Berkeley, California. In addition to the management of an international team of world-class researchers, Dr. White’s current work focuses on the creation of assisted thinking tools that leverage structural similarity in data with the goal of augmenting human intelligence.
Panels: The Role of AI/Machine Learning in Driving Industry Performance and Innovation;
New Jersey Big Data Workforce Roadmap
Workshops: Analytics Consulting Lifecycle: How to Design, Launch, and Complete a Business Analytics Project; Successfully Mining the Amazon Data Forest: Web-Scraping and Sentiment Analysis of Amazon Review
Research Presentations on topics such as Deep Learning Systems, Data Driven Behavior,
Improving Search Tools, and Competitive Strategy Frameworks
View the detailed Symposium Agenda.
For information on sponsoring our event, see the Sponsorship Flyer.
The New Jersey Big Data Alliance (NJBDA) is an alliance of 16 higher education institutions, as well as industry and government members, that strives to catalyze collaboration in building advanced computing capabilities and expertise. The goal is to leverage this collaboration to increase competitiveness, increase economic growth, improve the ability to secure federal funding and drive innovation