Leo F. Isikdogan, PhD
Imaging Algorithm Staff Engineer

Motorola Mobility / Lenovo, Chicago, IL



Motorola Mobility, a Lenovo Company, Chicago, IL

Imaging Algorithm Staff Engineer, Jun 2017 - Present

  • Build the machine learning models for the landmark recognition feature on the new Moto X4.
  • Developing smart camera features that involve machine learning and image understanding.

Imaging Engineering Intern, May - Aug 2016

  • Designed a deep learning model that predicts human judgments of image quality.
  • Gave a series of talks on applied machine learning, artificial neural networks, deep learning, and perceptual image quality analysis.

Imaging Engineering Intern, May - Aug 2015

  • Designed a machine learning model that learned the personal taste in white balance.
  • Developed methods to evaluate diversity and similarity in image sets.
  • Created a deep learning model that detects several types of image degradation.

Laboratory for Image and Video Engineering, The University of Texas at Austin, Austin, TX

Graduate Research Assistant, Sep 2013 - May 2017

Research Advisors: Prof. Alan Bovik, Prof. Paola Passalacqua

  • Designed deep learning models for remotely sensed image segmentation.
  • Developed tools for big data analytics in remote sensing.
  • Created a spatiotemporal river map of the world.

Poznan Supercomputing and Networking Center, Poland

Computer Vision Intern, Jul - Aug 2011

  • Developed software for visual surveillance systems.
  • Created tools that monitor parking lots and track moving objects.


The University of Texas at Austin, Austin, TX

PhD in Electrical and Computer Engineering, May 2017

  • Advisors: Alan Bovik and Paola Passalacqua
  • Dissertation: Automatically Creating Spatiotemporal River Maps of the World using Remotely Sensed Images

Bogazici University, Istanbul, Turkey

MS in Computer Engineering, Jul 2013

  • Advisor: Albert Ali Salah
  • Thesis: Computer Vision Based Reuse Detection in Digital Artwork

Yildiz Technical University, Istanbul, Turkey

BS in Computer Engineering, Jun 2011

Related Courses Image and Video Processing, Computer Vision, Vision Systems, Cognitive Science, Artificial Neural Networks, Artificial Intelligence, Pattern Recognition, Data Mining, Information Theory, Evolutionary Dynamics, Digital Signal Processing, Software Engineering, Software Design and Implementation