Daniel Aranki, Phd

Daniel Aranki, Phd Email and Phone Number

Assistant Professor of Practice @ University of California, Berkeley
Berkeley, CA, US
Daniel Aranki, Phd's Location
Berkeley, California, United States, United States
Daniel Aranki, Phd's Contact Details

Daniel Aranki, Phd work email

Daniel Aranki, Phd personal email

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About Daniel Aranki, Phd

I received my Ph.D. in Computer Science with the Designated Emphasis in Communication, Computation and Statistics from the University of California, Berkeley. My research interests are Artificial Intelligence, Machine Learning and their applications in the fields of healthcare, privacy and information disclosure.Previously, I worked as an RFIC designer in the Mobile Wireless Group at Intel Corp. My work included flows automation (software based), WiFi systems design and RF/Analog circuit design.

Daniel Aranki, Phd's Current Company Details
University of California, Berkeley

University Of California, Berkeley

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Assistant Professor of Practice
Berkeley, CA, US
Daniel Aranki, Phd Work Experience Details
  • University Of California, Berkeley
    Assistant Professor Of Practice
    University Of California, Berkeley
    Berkeley, Ca, Us
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  • University Of California, Berkeley
    Assistant Professor Of Practice
    University Of California, Berkeley Aug 2021 - Present
    Berkeley, Ca, Us
    Core research interests include machine learning, privacy, information disclosure, health tele-monitoring and cybersecurity.
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  • University Of California, Berkeley
    Faculty Member
    University Of California, Berkeley Aug 2018 - Present
    Berkeley, Ca, Us
    A faculty member in the School of Information (ISchool), developing curricula for privacy engineering.
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  • The Berkeley Telemonitoring Project
    Executive Director
    The Berkeley Telemonitoring Project 2013 - Present
    https://telemonitoring.berkeley.edu
  • University Of California, Berkeley
    Lecturer
    University Of California, Berkeley May 2017 - Aug 2017
    Berkeley, Ca, Us
    Teaching the first summer offering of EECS 16A (Designing Information Devices and Systems I) in the department of Electrical Engineering and Computer Sciences.The EECS 16 series (Designing Information Devices and Systems) is a pair of freshman-level courses introducing students to EECS, with a particular emphasis on how we deal with systems interacting with the world from an information point of view. Mathematical modeling is an important theme throughout these courses, and students learn many conceptual tools along the way.Read more at http://inst.eecs.berkeley.edu/~ee16a/su17/
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  • Uc Berkeley
    Computer Science Ph.D. Candidate
    Uc Berkeley May 2015 - 2017
    Berkeley, Ca, Us
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  • Uc Berkeley
    Computer Science Ph.D. Student
    Uc Berkeley Aug 2011 - 2017
    Berkeley, Ca, Us
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  • Intel
    Rfic Designer
    Intel May 2007 - Jun 2011
    Santa Clara, California, Us
    I worked on flows automation (software based), WiFi systems design and RF/Analog circuit design.
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Daniel Aranki, Phd Skills

Circuit Design Machine Learning Algorithms Artificial Intelligence Linux Programming Cmos Wifi Ic Signal Processing Matlab Computer Architecture Digital Signal Processors

Daniel Aranki, Phd Education Details

  • University Of California, Berkeley
    University Of California, Berkeley
    Artificial Intelligence
  • Technion - Israel Institute Of Technology
    Technion - Israel Institute Of Technology
    Electrical Engineering

Frequently Asked Questions about Daniel Aranki, Phd

What company does Daniel Aranki, Phd work for?

Daniel Aranki, Phd works for University Of California, Berkeley

What is Daniel Aranki, Phd's role at the current company?

Daniel Aranki, Phd's current role is Assistant Professor of Practice.

What is Daniel Aranki, Phd's email address?

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What schools did Daniel Aranki, Phd attend?

Daniel Aranki, Phd attended University Of California, Berkeley, Technion - Israel Institute Of Technology.

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Daniel Aranki, Phd has interest in Driving, Nba, Football (Soccer).

What skills is Daniel Aranki, Phd known for?

Daniel Aranki, Phd has skills like Circuit Design, Machine Learning, Algorithms, Artificial Intelligence, Linux, Programming, Cmos, Wifi, Ic, Signal Processing, Matlab, Computer Architecture.

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