Ningyuan Yang
Graduate Research Assistant @ Stony Brook University
United States
Stony Brook
Computer Software
Signal Processing, Data Structures, Amazon Web Services (AWS), Deep Learning, Linux, Machine Learning, MATLAB, Shell, Git, Python (Programming Language), PyTorch, TensorFlow, C++, C (Programming Language)
Experience
Graduate Research Assistant
Stony Brook University
Stony Brook, New York, United States
Audio Machine Learning Intern
Bose Corporation
Framingham, Massachusetts, United States
Machine Learning Research Intern
Bosch China
Shanghai, China
Multimodal sensor fusion
Data Science and Audio DSP Intern
Shure
Niles, Illinois, United States
- Constructed PyTorch framework of training, testing and evaluation of audio AI models for source separation under AWS. - Improved performance of the audio-based AI model by using extra visual information and fine-tuning.
Graduate Teaching Assistant
Georgia Institute of Technology
Atlanta, Georgia, United States
- Tutored undergraduate and graduate students in studies of CS7643/4644 Deep Learning.
Audio Algorithm Intern
Orka
Shanghai, China
- Established audio tests in the lab using microphones, speakers and dummy head to verify the human-hearing feature. - Implemented audio DSP algorithms for medical hearing aids, including speech enhancement (SE), beamforming and acoustic feedback cancellation (AFC). Used both deep learning and signal processing methods. - Prototyped audio DSP algorithms onto circuit boards and did hardware verification.
Education
Stony Brook University
Electrical Engineering
My advisor is Prof. Andrew Singer. My area of interest is audio signal processing and underwater acoustics.
Georgia Institute of Technology
Electrical and Computer Engineering
Southeast University
Information Technology
Ningyuan Yang's Contact Information
Phone
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