Ahmad Algohary
*****.********@****.*** 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-***-**** – ****@***.***
Ahmed Badawi, Professor, BME Dept. Head, Cairo University,Egypt–Tel: 443-***-****–********@****.***
Jacqueline Anne Johnson, Assoc. Prof., MABE Dept., Univ. of TN – Tel.: 931-***-**** – ********@****.***
Adrija Sharma, Assistant Professor, MABE Dept., Univ. of TN –Tel: 865-***-**** – ********@****.***.***
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.