Karl F. Macdorman

Karl F. Macdorman Email and Phone Number

Associate Dean of Academic Affairs @ Indiana University Luddy School of Informatics, Computing, and Engineering
Indianapolis, IN, US
Karl F. Macdorman's Location
Indianapolis, Indiana, United States, United States
Karl F. Macdorman's Contact Details

Karl F. Macdorman personal email

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About Karl F. Macdorman

Karl F. MacDorman is an associate professor in the Human–Computer Interaction program of the Luddy School of Informatics, Computing, and Engineering, Indiana University. The widely published researcher is also the associate dean of academic affairs.MacDorman comes to Indianapolis with a research and education background that is international in scope. Dr. MacDorman received his bachelor's in computer science from the University of California, Berkeley, in 1988. His studies then took him to Cambridge University in the United Kingdom, where he completed his Ph.D. in machine learning and robotics in 1996. Previously, MacDorman was an associate professor (2003—2005) and an assistant professor (1997—2000) at Osaka University, Japan.Dr. MacDorman has also worked as a software engineer at Sun Microsystems and as chief technology officer for two venture companies. He has published well over 100 papers in cognitive science, human–computer interaction, machine learning, and robotics. Karl MacDorman's research interests include android science, computational neuroscience, machine learning, sensorimotor representation, social robotics, symbol grounding and symbol emergence, and the uncanny valley.

Karl F. Macdorman's Current Company Details
Indiana University Luddy School of Informatics, Computing, and Engineering

Indiana University Luddy School Of Informatics, Computing, And Engineering

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Associate Dean of Academic Affairs
Indianapolis, IN, US
Employees:
147
Karl F. Macdorman Work Experience Details
  • Indiana University Luddy School Of Informatics, Computing, And Engineering
    Associate Dean Of Academic Affairs
    Indiana University Luddy School Of Informatics, Computing, And Engineering
    Indianapolis, In, Us
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  • Indiana University Luddy School Of Informatics, Computing, And Engineering
    Associate Dean Of Academic Affairs
    Indiana University Luddy School Of Informatics, Computing, And Engineering Jul 2013 - Present
    Indianapolis
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  • Indiana University Luddy School Of Informatics, Computing, And Engineering
    Associate Professor
    Indiana University Luddy School Of Informatics, Computing, And Engineering Nov 2005 - Present
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  • Batchx
    Advisor, Investor
    Batchx Dec 2019 - Present
    San Jose, California, United States
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Karl F. Macdorman Skills

Machine Learning Human Computer Interaction Computer Science Artificial Intelligence Science Cognitive Science Pattern Recognition Algorithms Computer Vision Theory Robotics University Teaching Human Robot Interaction Statistics Data Mining Bioinformatics Natural Language Processing Signal Processing Uncanny Valley Latex Python Image Processing Mathematical Modeling Neural Networks Android Science Cognitive Developmental Robotics Text Mining Scientific Computing Information Retrieval Applied Mathematics R Semantic Web Parallel Computing Computational Biology Computational Neuroscience

Karl F. Macdorman Education Details

Frequently Asked Questions about Karl F. Macdorman

What company does Karl F. Macdorman work for?

Karl F. Macdorman works for Indiana University Luddy School Of Informatics, Computing, And Engineering

What is Karl F. Macdorman's role at the current company?

Karl F. Macdorman's current role is Associate Dean of Academic Affairs.

What is Karl F. Macdorman's email address?

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What is Karl F. Macdorman's direct phone number?

Karl F. Macdorman's direct phone number is +120233*****

What schools did Karl F. Macdorman attend?

Karl F. Macdorman attended University Of Cambridge, University Of California, Berkeley.

What skills is Karl F. Macdorman known for?

Karl F. Macdorman has skills like Machine Learning, Human Computer Interaction, Computer Science, Artificial Intelligence, Science, Cognitive Science, Pattern Recognition, Algorithms, Computer Vision, Theory, Robotics, University Teaching.

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