Qualifications for Image Analysis Scientist/Senior Algorithm Engineer

Summary

Engineer with solid computer vision and image processing experience seeks opportunity in the area of detection, analysis, and grading of skin features using multi-spectral imaging technologies. Eight years of industrial experience in computer vision and image processing including development of practical vision algorithms, spectral unmixing algorithms, system prototypes, and system integration. Ten years of academic research experience in image processing, signal processing, image analysis, remote sensing, and optics.

Computer | Vision Image Processing | Optics
Research & Development | Hardware Implementation | Equipment Testing
Problem Solving | Software Development | Medical Imaging
Matlab, C/C++, IDL, eCognition, Cellenger, Mathematica, PSpice, LabView, ZEMAX, Unix

• Developing image processing, computer vision, and image analysis components for high throughput pathology technology platforms to predict individual clinical outcomes through the interrogation of tissue.
• Developed and implemented PSpice, IDL, and LabView tools to analyze CCD arrays for the National Optical Astronomy Observatory in Tucson.
• Designed and tested the control circuitry of the Monsoon acquisition systems, comprising a mosaic of 1,400 CCD arrays; the control circuitry is a key component of the Large Synoptic Survey Telescope at the National Optical Astronomy Observatory in Tucson. The Large Synoptic Survey Telescope is designed to provide early warning for earth hitting asteroids.
• Developed image super-resolution algorithms for the United States Air Force passive millimeter-wave radar; created a new Markov Random Field based de-noise algorithm and developed a modified maximum likelihood algorithm for passive millimeter-wave images on MATLAB.
• Prepared a proposal for the Federal Court Interpreter Spanish - English Certification Examination for the Administration Office of United States Court of Federal Judiciary.

Ph.D., Electrical and Computer Engineering; Minor, Optical Sciences

Dissertation: Novel Image Super-Resolution Algorithms and Enhanced Noise Removal
Algorithm for Image Restoration Systems and Applications
Coursework: Principles of Image Science, Information and Foundations of Physics, Estimation Methods in Optics, Digital Image Processing, Remote Sensing, Digital Communications Systems, Analytical Methods in Electrical Engineering, Linear Systems Theory, Integrated Telecommunication Networks, Fourier Optics, Fundamentals of Computer Networks, Neural Networks, Micro-Photonics, Design-Oriented Analysis of Electronic Circuits, Quantum Theory.

Thesis: Maximum Likelihood Restoration of Noisy Images

Professional Profile

Confidential, (2003-2010)
Bio-Imaging Engineer

• Research and development of advanced proprietary image processing, computer vision, and image analysis algorithms.
• Developed Aureon PathoMetrix™, which is a computer vision image analysis software for the analysis and quantification of tissue images.
• Main developer of the computer vision and image analysis components of Prostate Px™ and Prostate Px Plus™ which are the first ever commercial systems pathology platforms for prostate tissue analysis.
• Developed linear and non-linear spectral unmixing algorithms for wide field microscope and confocal microscope.
• Documenting Standard Operating Procedures of Prostate Px™ and Prostate Px Plus™ to comply with FDA requirement.

Confidential, (2001-2002)
Research Assistant

• Created software tools for testing a mosaic CCD array. Designed and tested the control circuitry of the acquisition system.

Confidential, (1995-2001)
Graduate Research Assistant and Teaching Assistant

• Research image super-resolution algorithms for the United States Air Force.
• Implemented a fuzzy C-mean clustering algorithm for hyperspectral remote sensing images.
• Recognized as the top performing teaching assistant in a department while providing instruction and mentorship in analog circuits design to 40 third-year university students.

Confidential, (1999-2000)
Graduate Assistant

• Developed and administered the Cantonese - English examination for the San Francisco Fire Department to determine the bilingual skill levels of firemen and paramedics.

Mikhail Teverovskiy, Yevgen Vengrenyuk, Ali Tabesh, Marina Sapir, Stephen Fogarasi, Ho-Yuen Pang, Faisal M. Khan, Stefan Hamann, Paola Capodieci, Mark Clayton, Robert Kim, Gerardo Fernandez, Ricardo Mesa-Tejada, Michael J. Donovan, , "Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging," ISBI 2008. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, 2008, pp. 300-303, May 2008.

Ali Tabesh, Mikhail Teverovskiy, Ho-Yuen Pang, Vinay P. Kumar, David Verbel, Angeliki Kotsianti, and Oliver Saidi, "Multifeature prostate cancer diagnosis and Gleason grading of histological images," IEEE Transactions on Medical Imaging, vol. 26, no. 10, pp. 1366-1378, Oct. 2007

Ali Tabesh, Vinay P. Kumar, Ho-Yuen Pang, David Verbel, Angeliki Kotsianti, Mikhail Teverovskiy, and Oliver Saidi, "Automated Prostate Cancer Diagnosis and Gleason Grading of Tissue Microarrays," in Proc. SPIE Medical Imaging 2005, San Diego, CA, 2005.

Mikhail Teverovskiy, Vinay P. Kumar, Junshui Ma, Angeliki Kotsianti, David Verbel, Ali Tabesh, Ho-Yuen Pang, Yevgen Vengrenyuk, Stephen I. Fogarasi, and Olivier Saidi, "Improved prediction of prostate cancer recurrence based on an automated tissue image analysis system," in Proc. IEEE Int. Symp. Biomed. Imaging, Arlington, VA, 2004, pp. 257-260.

Malur K. Sundareshan, Supratik Bhattacharjee, Radhika Inampudi, Ho-Yuen Pang, "Image Preprocessing for Improving Computational Efficiency in Implementation of Restoration and Superresolution Algorithms." Applied Optics, Volume 41, Issue 35, 7464-7474, December 2002.

Ho-Yuen Pang and Malur K. Sundareshan, "A Modified iterative conditional modes algorithm with relative potential function for pre-filtering in image super-resolution." ICIP - 2001 International Conference on Image Processing. Thessaloniki, Greece. October, 2001.

Sengvieng A. Amphay, Ho-Yuen Pang, and Malur K. Sundareshan, "Optimized maximum likelihood algorithm for super-resolution of passive millimeter-wave imagery." Proceedings of SPIE, Vol. 3378, Passive Millimeter-Wave Imaging Technology II. 1998, pp. 148-160.

Farid Amoozegar, Ali Notash, Ho-Yuen Pang, "Survey of fuzzy logic and neural networks technology for multi-target tracking." Proceedings of SPIE, Vol. 3371, Automatic Target Recognition VIII. 1998.

Sengvieng A. Amphay, Ho-Yuen Pang, Malur K. Sundareshan, and Bryce M. Sundstrom, "Image restoration in multi-sensor missile seeker environments for design of intelligent integrated processing architecture." Proceedings of SPIE, Vol. 3170, Image Reconstruction II. October, 1997, pp. 203-214.

Sengvieng A. Amphay, Ho-Yuen Pang, Malur K. Sundareshan, "Superresolution of millimeter-wave images by iterative blind maximum-likelihood restoration." Proceedings of SPIE, Vol. 3064, Passive Millimeter-Wave Imaging Technology. June, 1997, pp. 227-238.

Farid Amoozegar, Samuel S. Blackman, Rahman Ghamasaee, Ho-Yuen Pang, and Yee C. Wong, "Survey of neural networks as applied to target tracking." Proceedings of SPIE, Vol. 3069, Automatic Target Recognition VII. June, 1997, pp. 412-423.

2009 IEEE Pacific-Rim Symposium on Image and Video Technology PSIVT2009, Tokyo, Japan, January 13-16, 2007. Reviewer of Computer Vision Application.
2007 IEEE Pacific-Rim Symposium on Image and Video Technology PSIVT2007, Santiago, Chile, December 17-19, 2007. Reviewer of Computer Vision Application.

US Citizen