- Self-motivated research engineer with in-depth experience in image/video processing, video compression, and applied machine learning (including deep learning) (10+ years)- Image/video processing, computer vision, and information retrieval- Image/video feature extraction and selection (SIFT etc.)- Image/video classification and automatic annotation- Object detection and recognition- Content-based image/video retrieval- Applied machine learning, pattern recognition and data mining algorithms design and development- Supervised, unsupervised, semi-supervised learning- Classification and clustering- Generative models and discriminative models- Deep learning- SVM, kNN, EM, Bayesian network, and etc.- Image/Video compression, quality measurement, and post-processing- Image/Video artifacts detection (blockiness, blur, noise, and etc.)- Image/Video quality measurement (full reference, no reference, and reduced reference)- Video post-processing- Video frame rate conversion- Solid experience to extend the algorithm level invention to the software products - Solid ability to design and optimize the algorithms for the service oriented products for image/video processing, machine learning, data mining and information retrieval areas- Excellent hands-on skills on designing algorithms and building systems of image/video processing and video compression.- Extensive experience in programming and software development- Be proficient in C/C++, Matlab programming and software development. Over 10 years of software developing experience.- Be proficient in OpenCV and Caffe related application development and algorithm verification.- Standards: H.264/AVC, MPEG4, MPEG7, JPEG, and VQEG- Be proficient in Linux and Windows software development.Specialties: Image processing, video compression, image/video quality measurement and improvement, computer vision, pattern recognition, and applied machine learning