Ahmad Algohary

acc7bh@r.postjobfree.com 865-***-****

Education

MSc. Biomedical Engineering, University of Tennessee, Knoxville, TN, USA, May 2013 (GPA 4.00)

MSc. Systems & Biomedical Engineering, Cairo University, Egypt, December 2010 (84.5 % )

Diploma (1200 hrs), Information Technology, Information Tech. Institute, Giza, Egypt, July 2008

BSc. Systems & Biomedical Engineering, Cairo University, Egypt, May 2005 (80 % )

Relevant Work Experience

Medical Image Analysis Engineer, Case Western Univ., May 2013 – Present. (C++, Qt, ITK, VTK)

Research Assistant, College of Engineering, University of Tennessee, June 2011 – May 2013. (Matlab)

Sr. Biomedical Software Engineer, Diagnosoft, Inc. (May 2008 – April 2011) (C++, Matlab, C#)

Software Experiences

- C/C++ - VTK/Open Inventor - Matlab/Simulink - Boost/GDCM

- Qt/Qwt/Qxt - ParaView/3D Slicer - ITK/OpenCV - MSVS/SourceSafe

- CMAKE/Unix - Amira/Avizo - NSIS/InstallShield - SubVersion/Git

Publications

Ahmad O. Algohary; Muhammad K. Metwally; Ahmed M. El-Bialy; Ahmed H. Kandil; Nael F. Osman “A Novel

Segmentation Method to Identify Left Ventricular infarction in Short-Axis Composite Strain-Encoded Magnetic

Resonance Images” SPIE Medical Imaging, Proceedings of SPIE Vol. 7962, 79622E (2011)

Ahmad Algohary, Ahmed El-Bialy, Ahmed Kandil, Nael Osman “Detection of Cardiac Infarction in MRI C-SENC

Images”, Universal Journal of Computer Science and Engineering Technology, 1(1), pp36 – 40, 2010

Algohary, A.O.; El-Bialy, A.M.; Kandil, A.H.; Osman, N.F. “Improved Segmentation Technique to Detect Cardiac

Infarction in MRI C-SENC Images” 5th Cairo International Biomedical Engineering Conference, 2010

Fields of Interest

- Software Development - Medical Imaging - Machine learning

- GUI Programming - Computer Vision - Feature Extraction

- Code Optimization - Image Processing - Signal Processing

- Coding Standards - Image Analysis - Biomedical

- Numerical Analysis - 3D Graphics Instrumentation

References

Nael Osman - Assoc. Prof, Johns Hopkins Univ. – CEO, Diagnosoft Inc. – Tel.: 919-***-**** – acc7bh@r.postjobfree.com

Ahmed Badawi, Professor, BME Dept. Head, Cairo University,Egypt–Tel: 443-***-****–acc7bh@r.postjobfree.com

Jacqueline Anne Johnson, Assoc. Prof., MABE Dept., Univ. of TN – Tel.: 931-***-**** – acc7bh@r.postjobfree.com

Adrija Sharma, Assistant Professor, MABE Dept., Univ. of TN –Tel: 865-***-**** – acc7bh@r.postjobfree.com

Additional Experiences

- Medical Image Formats (DICOM, Philips, Image compression, format conversion (bitmaps, jpeg, … ).

- Hands on Medical Imaging different modalities (MRI, Ultrasound, …).

- 3D Cartilage Model Reconstruction from Ultrasound RF Signals, Signal processing and GUI development.

- Working on 3D Electromagnetic and Optical Trackers (Polaris, OptotraK, Ascension, …).

- 3D Visualization/Manipulation of Medical Images.

- Medical Image Analysis, Feature Selection and Extraction.

- Applying various classification techniques for prostate cancer detection.

Ahmad Algohary, MSc.

Selected Projects

May 2013 – Present: The ProstaCAD project (Case Western Reserve Univ.)

- I developed two C++ solutions for prostate cancer classification and 3D visualization.

- GUI was developed by Qt. I used VTK for 3D visualization. ITK was used image processing and feature

extraction.

- I also used Eigen API library for advanced mathematical calculations and matrix manipulation.

- A portion of the cancer classification code was ported from Matlab to C++.

- These solutions will be deployed in radiology clinics (e.g. Alpha3T in New Jersey) by the end of November,

2013.

- This was a cross-platform solution so, I used visual studio on windows and I used gcc on linux.

June 2011 – December 2012 : The JointGuide Project (Univ. of Tennessee)

- All the research required for this project was done at the Universiy of Tennessee.

- I managed to reconstruct 3D models of the cartilage from ultrasound RF signals.

- This software aimed to guide needle injection in the knees and shoulders using ultrasound.

- This software was installed on ultrasound machines in Grant Medical Center, Columbus, OH.

- This software communicated with the ultrasound machine and was able to read and process the RF signals.

- This software communicated successfully with the gps equipped probes, motion sensors and externally

attached electromagnetic trackers.

- It read and processed the ultrasound RF signals, it displayed reconstructed 3D models of knee and shoulder

bones, all in real-time.

- I mainly used C++ for developing this software. Qt was used for graphical user interface. Open Inventor was

used for for 3D Visualization and point cloud manipulation.

- I had to submit Requirements report for the project. I used Enterprise Architect to generate it after supplying it

with all the required info. I also documented all the code I submitted and worked on all the steps till

deployment of the software.

May 2008 - April 2011: The Diagnosoft CMR Suite (Diagnosoft, Inc.)

- Worked as Biomedical Software Engineer specialized in Diagnostic MRI Solutions.

- Worked on Image Processing Modules (e.g. Filters, Fourier, Compression, JPEG).

- Worked on the security of the program.

- Working with C, C++, MFC, Win32 APIs and C#.

- Doing research and Analytical Design tasks related to various Medical Image Formats (DICOM, PHILIPS,

- Also, working on all the product-generated XML Files: scanning, editing, …. etc.

- Doing all needed research and results validation using Matlab.

Ahmad Algohary, MSc.

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