Profile 05 00@2x e43b73b215f9745a5acb523ff5a7eedc10885283df60390263f6c02c19a38c6e

Kuan-Ru Lee

Graduate student majoring in electrical engineering. 

Professional field: Image Processing and Computer Science. 

Out-going person and be expert in leadership. 

Taoyuan,Taiwan (R.O.C.)

+886936-709-557
[email protected]

Education

National Taipei University of Technology (Taipei Tech)

  • Bachelor of Electrical Engineering
  • Master of Electrical Engineering



2012 - 2016

2016 - Now

Skills


Professional Skills

  1. Image Processing Related: Digital Image Processing, Pattern Recognition, Computer Vision. 
  2. Mathematical Related: Linear Algebra, Probability, Random Process, Information Theory, Detection and Estimation.
  3. Coding Languages: MATLAB, C, C++, Python, R language.
  4. Others: Biomedical Engineering. 


Language Skills

  1. Chinese and native languages.
  2. TOEIC 805/900.
  3. GEPT Intermediate Level.
  4. Japanese.
  5. Elementary French.

Published Paper

“Evaluation of Band Generation Process for classification of cerebrospinal fluid in Magnetic Resonance Images”  IEEE, 2016. 


Cross section area (CSA) of spinal canal has been an important indicator for lumbar spinal stenosis (LSS), which remains the leading preoperative diagnosis for adults older than 65 years. Until recently, the machine learning algorithms had been investigated in [5-7] for an automatic classification system. The automatic classification system exploited the luminance of cerebrospinal fluid (CSF) as the major features. Unfortunately, the limited sequences of magnetic resonance images, which included only T1 and T2 sequences, produced certain level of false alarm and reduced the classification rate. The band expansion process(BEP) proposed in [8] shed light on this issue by generating additional bands with non-linear functions. The idea of BEP unveils the non-linear relationship among sequences to increase the classification rate. The utilities of BEP had been evaluated in brain MR images [9]. This paper would like to extend the applications of BEP for classification of CSF. The experimental studies further demonstrated the benefits of the BEP.

Awards

  • Annual project to subsidize college students go abroad for internship from Ministry of Education, Taiwan. 2014 & 2016
  • Annual project to subsidize the research of college students from Ministry of Science and Technology, Taiwan. 2015
  • Student Travel Grant Winner of 2016 IEEE International Conference on System, Man, and Cybernetics (IEEE SMC) 2016

Experience

Jul - Sep 2014

Internship in OMRON Corporation in Kyoto, Japan.

Oct 2016

Attended 2016 IEEE International Conference on System, Man, and Cybernetics (IEEE SMC) and had a presentation in the section of Modern Technology on Medicine, Health Care and Human Assist.

Jul 2017

Attended the meeting of Cross-Strait CEO Summit. Had communicate with enterprises and student in China, exchange different thoughts and point of view about the global economic situation.

Aug 2017 - Feb 2018

Internship in Institut national de recherche en informatique et en automatique (INRIA) in Sophia Antipolis, France.

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