Computer Vision Researcher Resume

PROFESSIONAL SUMMARY:

Expert in Image Processing, Computer Vision and Machine Learning - Strong Algorithmic, Math, and Programming skills -Excellent Analytic, Verbal, Writing & Presentation - Proficient in Problem Solving - Self Motivated- Practical Experience with Computer Vision Methods and Algorithms - Track Record in a Computer Vision (e.g., segmentation, registration, compression, modeling, detection and tracking) - Experience in Medical Image Processing- Experience in working within industry-university collaborations - Team and Project Management

TECHNICAL SKILLS:

Image Processing: Feature Detection, Feature Classification, Segmentation, Clustering

Geometry: Euclidean Distance Transform, Triangulation, Nearest Neighbor search

Statistical Classification: KNN, Random Forest, Decision Tree, Linear Programming, Machine Learning Supervised Learning, Unsupervised Learning, Reinforcement Learning

Digital Signal: Processing FFT, Wavelet

Sequence: Algorithms DTW, Sorting

Computer Graphics: Texture Mapping, 3D Visualization

Programming Languages: C++, C#,MATLAB, Python, OpenGL, HTML, CSS, PHP

Libraries: OpenCv, ImageJ, CImg, ITK, VTK

Statistical Packages: Octave, R Studio, Simfit, SPSS

Medical Imaging: MRI, PET, SPECT, DICOM Standard

Source: Control Mercurial, TFS

Databases: SQL, MS Access

Project Management: Planning, Control, Cost and Budget Estimation, Technical Presentations

EMPLOYMENT HISTORY:

Computer Vision Researcher

Confidential

Responsibilities:

Introduced an imagery inspection system for wind turbine blades inspection based on UAV images
Designed, coded, tested and maintained software and prepared research plan and final report Utilized: C++, OpenCv, MATLAB, Python

Computer Vision Consultant

Confidential

Responsibilities:

Confidential provides cutting-edge services in image processing, computer vision, machine learning and algorithms.
Designed nonwoven and textile inspection system for the detection of different kinds of defects Provide recommendations for re-engineering and streamlining business process
Developed algorithms to deal with low quality images for various biometric applications Utilized C++, OpenCv, eStudio

Postdoc Fellow in Medical Imaging Analysis

Confidential

Responsibilities:

Confidential provides technology development services focused in medical imaging.
Performed literature surveys and competitive analysis to understand existing and competing histopathology registration with multi-modality medical images (MRI, PET, SPECT)
Developed a prototype for registration and validation of 3D in vivo imaging to histopathology Worked closely with multi-disciplinary teams in requirements gathering and software design Utilized C++ / CLI, ImageJ, OpenCv, MATLAB, R studio, Mercurial, TFS

Image Processing Algorithms Developer

Confidential

Responsibilities:

Confidential Automation is a developer of machine vision camera systems and image inspection software for quality improvement.
Designed and implemented new and innovative approach for detection and inspection of defects in optical disks and cover lenses
Applied a novel approach to detect data matrix using geometric analysis technique
Designed fast and easy algorithm for finding the L-finder in data matrix that is superior to the existence technique and robust to image rotation and scale variance
Utilized C++, C#, ITK, MATLAB

Postdoctoral Fellow in Image Analysis

Confidential

Responsibilities:

Imaging Processing Lab. at TIT pursue research in areas related to image processing, pattern recognition, image processing expert system, computer vision, computer graphics and artificial life.
Developed a noise reduction algorithm to smooth non-uniform noisy image
Proposed new unsupervised algorithm for texture analysis and defect detection
Designed an innovative optimal features selection method based on the statistical techniques
Proposed image segmentation system to segment single or multi objects in the image of different modalities
Utilized C++, OpenCV, MATLAB

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