Vasant Dhar

About

Vasant Dhar is associated with the New York University Stern School of Business, where he is involved with the Stern Center for Research Computing (SCRC). The center provides computational facilities and services to researchers, including a Slurm HPC cluster, cloud computing resources, data acquisition and storage, research software, and access to the Wharton Research Data System (WRDS). The focus of the center is to support advanced computational research and data analysis through a comprehensive suite of software services, diverse datasets, and scalable storage systems. His work emphasizes facilitating research that leverages high-performance computing, data management, and software tools to advance scholarly inquiry at the Stern School of Business.

Research topics

• Computer Science
• Artificial Intelligence
• Psychology
• Engineering
• Cognitive science
• Philosophy
• Mathematics education
• Mechanical engineering
• Epistemology
• Chemistry

Selected publications

• FinTech platforms and strategy

  Communications of the ACM · 2017-09-25 · 108 citations

  article1st authorCorresponding

  Integrating trust and automation in finance.

  PublisherDOI

• The Future of Artificial Intelligence

  Big Data · 2016-03-01 · 44 citations

  article1st authorCorresponding
  PublisherDOI

• The Paradigm Shifts in Artificial Intelligence

  Communications of the ACM · 2024 · 32 citations

  1st authorCorresponding

  Even as we celebrate AI as a technology that will have far-reaching benefits for humanity, trust and alignment remain disconcertingly unaddressed.

  PublisherDOI

• FinTech Platforms and Strategy

  SSRN Electronic Journal · 2016-01-01 · 31 citations

  articleOpen access1st authorCorresponding
  PublisherDOI

• Equity, Safety, and Privacy in the Autonomous Vehicle Era

  Computer · 2016-11-01 · 29 citations

  article1st authorCorresponding

  Big data from onboard vehicular systems can be used to help determine liability in accidents, streamline insurance pricing, motivate better driving practices, and improve safety--all with potentially minimal impact on privacy.

  PublisherDOI

Frequent coauthors

• Matthias Jarke

  RWTH Aachen University

  10 shared

• Arun Sundararajan

  9 shared

• Hsinchun Chen

  University of Arizona

  8 shared

• Michel Benaroch

  Syracuse University

  6 shared

• Parthasarathy Ranganathan

  Google (United States)

  6 shared

• Albert Croker

  Baruch College

  6 shared

• Foster Provost

  4 shared

• Dashin Chou

  New York University

  4 shared

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• Kyunghyun Choh-90
• Gérard Ben Aroush-53