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Ranjeev Mittu

Ranjeev MittuRanjeev Mittu is the Branch Head for the Information and Decision Sciences Branch within the Information Technology Division at the U.S. Naval Research Laboratory (NRL). He leads a multidisciplinary group of scientists and engineers conducting researh and advanced development in visual analytics, human performance assessment, decision support systems, and enterprise systems. Mr. Mittu’s research expertise is in multi-agent systems, human-systems integration, artificial intelligence (AI), machine learning, data mining and pattern recognition; and he has authored and/or coedited eleven books on the topic of AI in collaboration with the national and international scientific communities spanning academia and defense. Mr. Mittu received a Master of Science Degree in Electrical Engineering in 1995 from The Johns Hopkins University in Baltimore, MD.The views expressed in this Work do not necessarily represent the views of the Department of the Navy, the Department of Defense, or the United States. Read More Read Less

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1.
Interdependent Human-Machine Teams45 %
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10 Dec 2024
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Putting AI in the Critical Loop45 %
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22 Feb 2024
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Systems Engineering and Artificial Intelligence15 % NR
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03 Nov 2022
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Artificial Intelligence for the Internet of Everything45 %
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Human-Machine Shared Contexts45 %
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09 Jun 2020
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6.
Computational Context48 %
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31 Mar 2021
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7.
Distributed Intelligent Systems37 %
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05 Sep 2014
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8.
Computational Context31 %
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21 Dec 2018
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Distributed Intelligent Systems
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21 Aug 2009
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10.
Robust Intelligence and Trust in Autonomous Systems37 %
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₹7,024
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14 Apr 2018
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11.
Autonomy and Artificial Intelligence: A Threat or Savior?37 %
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28 Aug 2018
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12.
Robust Intelligence and Trust in Autonomous Systems37 %
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08 Apr 2016
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Autonomy and Artificial Intelligence: A Threat or Savior?37 %
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05 Oct 2017
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14.
Adversary-Aware Learning Techniques and Trends in Cybersecurity5 % NR
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23 Jan 2022
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15.
Systems Engineering and Artificial Intelligence15 % NR
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02 Nov 2021
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16.
Engineering Artificially Intelligent Systems6 % NR
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17 Nov 2021
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17.
Adversary-Aware Learning Techniques and Trends in Cybersecurity4 % NR
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23 Jan 2021
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Computational Context
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07 Dec 2018
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19.
Computational Context
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07 Dec 2018
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