Electrical Engineering Assistant
Resume:
DEWEI WANG
Allston, Massachusetts, 02134
*******@*****.***
EDUCATION ANQING NORMAL UNIVERSITY, HEFEI, ANHUI
Bachelor of Science, Electrical Engineering, Jun 2016 3.72/4.00 cumulative GPA
BOSTON UNIVERSITY, BOSTON, MA
Master of Science, Electrical and Computer Engineering Candidate Expected graduation, May 2018
3.70/4.00 major GPA
WORK
EXPERIENCES
BOSTON CHILDREN'S HOSPITAL, BOSTON, MA, US
Student Intern, May 2017 - Aug 2017
Implemented 3D segmentation, motion correction, and registration for MRI of children with poliomyelitis, followed by the conventional ROI atlas analysis Improved the traditional pipeline by using ConvNets for segmentation on 2D slices of MRI
Applied an end-to-end ConNets system to classify the pain level of patients and make comparisons with conventional ones
Paper Advanced neuroimaging in pediatric spinal cord injury to be publish in 2018
(first author of abstract)
KEY LABORATORY OF INTELLIGENT COMPUTING & SIGNAL
PROCESSING, HEFEI, ANHUI, CHINA
Student Intern(research assistant), June 2015 - Aug 2015 Researched and implemented the algorithm of the project Bayesian fusion of panchromatic and multi-spectral images using multi-directional filter banks PROJECT
EXPERIENCES
BOSTION UNIVERSITY, BOSTON, MA,US
Object Detection with Mobile Camera, Sec 2016 - Dec 2016 Developed an embedded system on Rasberry Pi with mobile camera to realize real-time multi-class object detection system with high performance BOSTION UNIVERSITY, BOSTON, MA,US
Lung Cancer Prediction, Feb 2017 - May 2017
Preprocessed the chest CT scans with basic image processing tools Extracted the feature maps via pre-trained U-Net with fine-tuning Built a classifier with multi-task learning to predict on diagnosis Made comparisons with the result of transfer learning on VGG-16 BOSTON UNIVERSITY, BOSTON, MA, US
Video Saliency Detection, Sep 2017 – Dec, 2017
Proposed an entropy-based weighting method for spatio-temporal domain features to detect dynamic saliency in global motion scenarios Made comparisons with the implementation results of state-of-art (bio-inspired) methods and conventional Two-Stream Fully ConvNets. SKILLS Proficiency in Matlab and Python and C/C++
Programming experience with OpenCV, scikit-learn, TensorFlow/Keras, CUDA etc. Experience with MRI analysis tools (fslview, MRICron, etc) and Android Studio Accomplishment with Deep Learning Specialization Certificate from deeplearning.ai
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