Jidong H. Email & Phone Number

San Francisco Bay Area

Researched and developed deep learning based signal and image processing algorithms for applications in neurology, ophthalmology as well as hearing and balanceDeveloped CNN and LSTM based algorithms for EEG/PSG/ICP signal detection and classification Developed U-Net and ResNet based algorithms for fundus image segmentation and classification Applied GAN/CycleGAN for image enhancement and generationDeveloped and demonstrated AWS IoT-based architecture for automatic sleep monitoringApplied Azure ML Studio and AWS SageMaker to create machine-learning workflow, including data preprocessing, model creation and training in the cloud

San Francisco Bay Area

Developed digital signal processing algorithms based on machine learning and deep learning to enhance smart IoT devices used for digital health and wellness.Applied Tensorflow, Keras, Docker containers and Amazon SageMaker to develop deep neural network (DNN) for time series prediction and classification.

Eugene, Oregon Area

Researched and developed signal processing and imaging algorithms for multi-channel electroencephalogram (EEG) applications in neuroscience and neurology.Implemented noise reduction and source localization algorithms based on machine learning methods, including PCA, ICA, k-means, Gaussian mixture model, as well as Lasso regression, sparse coding, dictionary learning and convex optimization.

Researched and implemented deformable image registration algorithms with C++ (ITK/VTK) for image guided radiation therapy in head-and-neck cancer treatment.