Erik Elmroth

Erik Elmroth Email and Phone Number

Professor at Umeå University and Elastisys co-founder @ Umeå University
Erik Elmroth's Location
Greater Umeå Metropolitan Area, Sweden
Erik Elmroth's Contact Details

Erik Elmroth personal email

n/a

Erik Elmroth phone numbers

About Erik Elmroth

Erik Elmroth is a Professor at Umeå University and Elastisys co-founder at Umeå University. He possess expertise in high performance computing, cloud computing, software engineering, grid computing, parallel computing and 4 more skills.

Erik Elmroth's Current Company Details
Umeå University

Umeå University

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Professor at Umeå University and Elastisys co-founder
Erik Elmroth Work Experience Details
  • Umeå University
    Professor
    Umeå University Dec 2009 - Present
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  • Elastisys
    Co-Founder & Chief Scientist
    Elastisys 2011 - Present
    Umeå, Västerbotten, Sweden
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  • Royal Swedish Academy Of Engineering Sciences
    Member
    Royal Swedish Academy Of Engineering Sciences 2019 - Present
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  • Wasp – Wallenberg Ai, Autonomous Systems And Software Program
    Member Of Program Management
    Wasp – Wallenberg Ai, Autonomous Systems And Software Program 2015 - Present
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Erik Elmroth Skills

High Performance Computing Cloud Computing Software Engineering Grid Computing Parallel Computing Distributed Systems Algorithms Computer Science Machine Learning

Erik Elmroth Education Details

Frequently Asked Questions about Erik Elmroth

What company does Erik Elmroth work for?

Erik Elmroth works for Umeå University

What is Erik Elmroth's role at the current company?

Erik Elmroth's current role is Professor at Umeå University and Elastisys co-founder.

What is Erik Elmroth's email address?

Erik Elmroth's email address is el****@****.umu.se

What is Erik Elmroth's direct phone number?

Erik Elmroth's direct phone number is +467031*****

What schools did Erik Elmroth attend?

Erik Elmroth attended Umeå University.

What skills is Erik Elmroth known for?

Erik Elmroth has skills like High Performance Computing, Cloud Computing, Software Engineering, Grid Computing, Parallel Computing, Distributed Systems, Algorithms, Computer Science, Machine Learning.

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