杨开涛

研究方向:深度学习、机器学习、大数据挖掘、信号处理
入学年度:2009

个人主页: https://nl.linkedin.com/in/kaitaoyang

个人经历:
2017-2018, Deep Learning Engineer, Jheronimus Academy of Data Science (JADS)
2017.3-Now, setting up the GPU infrastructure at JADS for Deep Learning, and teaching students how to implement Deep Learning Frameworks using Theano.
2016-2017, Data Engineer, Jheronimus Academy of Data Science
2016.5-2017.3, consultant in high performance computing (HPC). Teaching researchers and students at JADS how to use the SURFsara HPC facilities, which include Dutch national supercomputers (Cartesius/Lisa), HPC cloud, Hadoop and Spark cluster, Grid computing cluster, GPU computing cluster, and ELvis remote visualization cluster.
2016.5-2017.3, conducting Data Analytics projects at the DataLab of JADS.
2014-2016, PDEng (Professional Doctorate in Engineering), Eindhoven University of Technology
2014.9-2016.3, intelligent fetal ECG monitoring (PDEng graduation project). Worked on reverse engineering and improving an existing fetal ECG monitoring device. The approach was analyzing a large dataset generated by the existing device and our device. Sponsored by MMC Veldhoven.
2015.9-2015.10, finding the correlation between the textual news and stock price events (Course project). Worked on retrieving stock prices from Yahoo finance website and reducing the dimension of textual news features.
2015.3-2015.6, optimizing the configurational settings of the ASML wafer scanner platform (Course project). Worked on optimizing the locations of sub-modules (i.e. conditioning, rotation, and exposure) on the platform. Sponsored by ASML.
2015.2-2015.4, adaptive array signal processing in audio conferencing (Course project). Worked on enhancing the audio signal of a target speaker and suppressing those of other speakers.
2015.9-2016.1, teamwork project (Industrial project). Worked on designing and producing an automated system for measuring the efficiency of wireless charging. Sponsored by NXP Semiconductors.
2012-2014, Researcher in Biomedical Signal Processing, Eindhoven University of Technology
2014.4-2014.8, Electrohysterogram (EHG) analysis toolbox design (University project). Worked on designing a toolbox using MATLAB/GUI for processing EHG signals and visualizing uterine electrical activities.
2013.5-2014.4, modeling the electrode-skin-interface for motion artifacts reduction (University project). Worked on modeling the electrode-skin-interface by injecting a known signal into the skin via an electrode and measuring outputs.
2009-2012, Master student, Xiamen University and Yuan-Ze University
2011.7-2012.7, research on ECG pre-processing and QRS detection (Master graduation project). Worked on suppressing baseline wander and detecting QRS locations in the ECG.
2011.7-2011.10, graduate internship at Yamaha Motor Solutions, Xiamen (Industrial project). Worked on developing three sub-modules of a general reporting platform.
2010.9-2010.6, automated detection of Myocardial Infarction (MI) on 12-lead ECG (University project). Worked on classifying ECG recordings into MI and non-MI using Support Vector Machine, Neural Network, and Gaussian Mixture Model.
2009.9-2010.10, Intelligent television (Industrial project). Worked on image-based human face detection and recognition using AdaBoost, Eigenface, and Hidden Markov Model.