Eugene Borovikov

Eugene Borovikov is a highly skilled professional with a strong background in research and development in the fields of computer vision, machine learning, and augmented reality. His expertise encompasses a wide range of areas within these domains.

In the realm of computer vision, Eugene specializes in 3D object pose and shape estimation, face detection/recognition, and real-time object tracking. His image processing skills cover various areas such as image classification, grayscale and color image processing, bitonal image analysis, and content-based image retrieval.

With a focus on machine learning, Eugene has experience in deep learning, optical character recognition (OCR), scanned document image understanding, handwriting recognition, object detection and recognition, as well as face detection and matching.

Eugene Borovikov pursued his academic interests by studying Computer Science at Moscow State University for his Bachelor's degree. He further expanded his knowledge by completing a Ph.D. in Computer Science and a Master's in Applied Mathematics at the University of Maryland.

Throughout his career, Eugene held various key positions, including being a Computer Vision Researcher at Kitware Inc., a Senior Computer Vision Scientist at Fannie Mae, and a Senior Research Scientist at Intelligent Automation, Inc. He has also served as an Adjunct Professor of Computer Science at George Mason University.

In addition, Eugene has worked in roles such as image processing & computer vision scientist at Taj Technologies, computer vision / augmented reality consultant, and as an image processing consultant at CACI. Moreover, he has experience as the Director of Research and Development at ADF Solutions, Inc., Lead Functional Analyst at CACI, and held positions at UMIACS, CBSI, JAYCOR, among others.

Eugene Borovikov's diverse experience and strong academic background make him a valuable asset in the fields of computer vision, machine learning, and augmented reality.