Julio Cesar A. Profile

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$60 USD / hour

siegen,

germany

$60 USD / hour

It's currently 4:16 PM here

Joined March 23, 2016

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Julio Cesar A.

@julioalvar

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(0 reviews)

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$60 USD / hour

siegen,

germany

$60 USD / hour

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Electronic Engineer

I am Masters in Mechatronics with 5-year experience in researching and developing for defense systems. Right now, I'm pursuing a PhD in Electrical Engineering. I have knowledge in Math and physics. I have experience programming microcontrollers in C and assembler. I feel comfortable working with Matlab, and I have good skills in algorithms in general. Therefore, I feel, I can develop in any language, but I have most of my experience in C++ and C#. In automation, I have worked with Siemens S7-1200, frequency variators and Servomotors. I have experience working with eagle for PCB designing. I have made some work with PHP, MySQL and HTML.

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Experience

Thor International

Mar 2010 - Oct 2014 (4 years, 7 months)

Developing of defense systems for army and air force.

Education

M.Sc. Mechatronics

Universität Siegen,

Germany

2015 - 2018

(3 years)

Electronic Engineer

Universidad de Antioquía,

Colombia

2003 - 2009

(6 years)

Qualifications

University of Massachusetts Boston

2015

English courses in spring and summer 2015

Publications

Intraoperative Registration of 2D C-arm Images with Preoperative CT Data in Computer Assisted ...

Current Directions in Biomedical Engineering 5(1):25-28

In this paper, we present an approach for getting an initial pose to use in a 2D/3D registration process for computer-assisted spine surgery. This is an iterative process that requires an initial pose close to the actual final pose. When using a proper initial pose, we get registrations within two millimeters of accuracy. Consequently, we developed a fully connected neural network (FCNN), which predicts the pose of a specific 2D image within an acceptable range. Therefore, we can use...

Comparison of Similarity Measurements and Optimizers for Intraoperative Registration of 2D C-arm...

ISBN: 978-3-00-063717-9

In this paper, we compare twelve similarity measurements and optimizers for 2D/3D registration in our computer-assisted spine surgery application. We use an iterative procedure to find the registration of X-ray images, respecting a DICOM volume from a CT scan. For each registration result, we compute the averaged RMS error of four points taken on the phantom used for the CT scan and X-rays. We registered pairs of five anteroposterior- and lateral-projection X-ray images with each ...