David Corne

David Corne Email and Phone Number

Professor, and Director of Enterprise, Impact and Innovation @ Heriot-Watt University
Edinburgh, GB
David Corne's Location
Edinburgh, Scotland, United Kingdom, United Kingdom
David Corne's Contact Details

David Corne work email

David Corne personal email

n/a
About David Corne

David Corne is a Professor, and Director of Enterprise, Impact and Innovation at Heriot-Watt University. He possess expertise in machine learning, data mining, artificial intelligence, computer science, algorithms and 18 more skills. He is proficient in English and Klingon.

David Corne's Current Company Details
Heriot-Watt University

Heriot-Watt University

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Professor, and Director of Enterprise, Impact and Innovation
Edinburgh, GB
Website:
hw.ac.uk
Employees:
4050
David Corne Work Experience Details
  • Heriot-Watt University
    Professor, And Director Of Enterprise, Impact And Innovation
    Heriot-Watt University
    Edinburgh, Gb
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David Corne Skills

Machine Learning Data Mining Artificial Intelligence Computer Science Algorithms Neural Networks Evolutionary Algorithms Evolutionary Computation Mathematical Modeling Genetic Algorithms Latex Pattern Recognition Programming Optimization Simulations Statistics Lecturing Image Processing R Numerical Analysis Text Mining Scientific Computing Communications Audits

Frequently Asked Questions about David Corne

What company does David Corne work for?

David Corne works for Heriot-Watt University

What is David Corne's role at the current company?

David Corne's current role is Professor, and Director of Enterprise, Impact and Innovation.

What is David Corne's email address?

David Corne's email address is dw****@****w.ac.uk

What are some of David Corne's interests?

David Corne has interest in Environment, Poverty Alleviation, Science And Technology, Disaster And Humanitarian Relief, Human Rights, Health.

What skills is David Corne known for?

David Corne has skills like Machine Learning, Data Mining, Artificial Intelligence, Computer Science, Algorithms, Neural Networks, Evolutionary Algorithms, Evolutionary Computation, Mathematical Modeling, Genetic Algorithms, Latex, Pattern Recognition.

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