Biplav Srivastava

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Biplav Srivastava is a Professor of Computer Science at the AI Institute at the University of South Carolina. Previously, he was at IBM for nearly two decades in the roles of a Research Scientist, Distinguished Data Scientist and Master Inventor. Biplav is an ACM Distinguished Scientist, AAAI Senior Member, IEEE Senior Member and AAAS Leshner Fellow for Public Engagement on AI (2020-2021). His focus is on promoting goal-oriented, ethical, human-machine collaboration via natural interfaces using domain and user models, learning and planning. He applies these techniques in areas of social as well as commercial relevance with particular attention to issues of developing countries.

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Blue Water: A Common Platform to Put Water Quality Data in India to Productive Use by Integrating Historical and Real-time Sensing Data

Vor 8 Jahren • 778 Aufrufe

Biplav Srivastava

Präsentationen

Tutorial on Taffic Management and AI

Tutorial on AI-based Analytics in Traffic Management

Composing Web APIs – State of the art and mobile implications

City Concierge V1.0

Big, Open, Data and Semantics for Real-World Application Near You

Jumpstarting an Integrated Township Operations Center (Smart City) Using People as Sensors

AI for Smart City Innovations with Open Data (tutorial)

Global Trends in Use of IT for Efficient Public Health Care

Technological Challenges in Managing and Operating a Smart City: Planning for a real-world

Securing Intellectual Property – Why You Should Care and What Can You Do About It?

Open Data for Financial Innovations in the Developing World

Data View2016 Analytics Competition for Public Health Using Indian Open Data

Blue Water: A Common Platform to Put Water Quality Data in India to Productive Use by Integrating Historical and Real-time Sensing Data

Case Studies in Managing Traffic in a Developing Country with Privacy-Preserving Simulation as a Service

Summaries of Workshops held at IJCAI 2016 at New York in July

AI for Data-Driven Decisions in Water Management

Technology Based Social Entrepreneurship: Innovations That Matter

The Potential and Risks of Working With Conversation Agents

TOWARDS BUILDING PEOPLE-CENTRIC AI FOR BUSINESS - THE LONG HAUL

Trusted Data Science via Testing and Rating Behavior of AI Services: Text and Beyond