Chen Cui

Chen Cui Email and Phone Number

Computer Vision and Machine Learning Engineer, ADAS @ SF Motors Inc
San Jose, CA, US
Chen Cui's Location
San Jose, California, United States, United States
Chen Cui's Contact Details

Chen Cui personal email

n/a

Chen Cui phone numbers

About Chen Cui

My name is Chen and my passion and dedication to the field of electrical engineering sets me apart from most. Reach out to any of my colleagues or past instructors and they will attest to my unparalleled drive and aptitude for innovation and creative problem solving that reaches well beyond my educational career.For the past three years I have focused on advancing my knowledge base and skill set through extensive research and project work, with more than six publications to my credit to date. My hands on experience and expertise in the development of image processing includes a deep understanding of object detection, pattern recognition, and character recognition, with my most recent projects centered on utilizing deep learning/machine learning technology.

Chen Cui's Current Company Details
SF Motors Inc

Sf Motors Inc

View
Computer Vision and Machine Learning Engineer, ADAS
San Jose, CA, US
Website:
driveseres.com
Employees:
126
Chen Cui Work Experience Details
  • Sf Motors Inc
    Computer Vision And Machine Learning Engineer, Adas
    Sf Motors Inc
    San Jose, Ca, Us
  • Sf Motors Inc
    Computer Vision And Machine Learning Engineer, Adas
    Sf Motors Inc Aug 2018 - Present
    Milpitas, California, Us
  • Huawei Technologies
    Computer Vision Engineer
    Huawei Technologies Jan 2018 - Aug 2018
  • University Of Dayton
    Graduate Research Assistant
    University Of Dayton Jan 2014 - Aug 2017
    Dayton, Oh, Us
    Focused on developing a convolutional neural network-based face recognition system to improve the accuracy of multiple facial databases with varying difficulties. • Introduced a polynomial structure to the current neural network to increase stability and diversity to the captured facial features. • Conducted testing of the novel system utilizing a digital handwritten database, resulting in comprehensive preliminary results to prove or disprove the working theory, with additional testing planned to certify the current system’s effectiveness.
  • University Of Dayton
    Graduate Teaching Assistant
    University Of Dayton Sep 2013 - May 2017
    Dayton, Oh, Us
    Courses include: • Digital signal processing (Fall 2016) • Advanced image processing (Spring 2016)• Machine learning (Fall 2015) • Introduction to digital system (Spring 2014)• Discrete signal and systems (Fall 2013)
  • Vision Lab, University Of Dayton
    Graduate Research Assistant
    Vision Lab, University Of Dayton May 2014 - May 2015
    SMART FACE RECOGNITION PROJECT, CLIENT: CITY OF DAYTONCapitalized on extensive coursework and previous project experience to design an adaptive smart face recognition system on behalf of a local liquor store in Dayton, Ohio. The system utilizes training data captured by a 1080p IP camera to establish baseline measurements, allowing the system to recognize the person of interest upon entering the store during future visits. Initial findings show the performance of the smart face recognition system has great potential.• Implemented multiple methodologies to analyze the data captures including a Haar-Cascade structure for face detection, originally developed algorithms of enhanced local binary pattern for feature extraction, and a support vector machine for classification.• Focused on data enhancements to increase overall efficiency including migrating the code from MATLAB to C++, with future upgrades to include adding more facial feature options to achieve greater accuracy.
  • Vision Lab, University Of Dayton
    Graduate Research Assistant
    Vision Lab, University Of Dayton Mar 2013 - May 2014
    Right of Way Automated Monitoring System ProjectDiligently worked on a graduate research project focused on developing an automated mechanism that can ultimately scan through aerial imagery data to detect potential threats to the right-of-way, sending out warning signals upon detection. • Analyzed the captured data utilizing algorithm design based on the spatial location and resolution characteristics of images. • Skillfully preprocessed and enhanced captured images using self-tuned transfer function and haze removal, as well as eliminated the background using entropy to minimize the search region.• Implemented a multi-scale local phase-based approach for improving the resolution of the desired regions for better classification.

Chen Cui Skills

Machine Learning Image Processing Computer Vision Matlab Python C Microsoft Office Microsoft Excel Electronics Programming Electrical Engineering Microsoft Word Windows Powerpoint Html Vhdl Ubuntu Eclipse Altera Quartus

Chen Cui Education Details

  • University Of Dayton
    University Of Dayton
    Electrical And Computer Engineering
  • University Of Dayton
    University Of Dayton
    Electrical And Electronics Engineering
  • Dalian Jiaotong University
    Dalian Jiaotong University
    Electrical Engineering

Frequently Asked Questions about Chen Cui

What company does Chen Cui work for?

Chen Cui works for Sf Motors Inc

What is Chen Cui's role at the current company?

Chen Cui's current role is Computer Vision and Machine Learning Engineer, ADAS.

What is Chen Cui's email address?

Chen Cui's email address is cu****@****ton.edu

What is Chen Cui's direct phone number?

Chen Cui's direct phone number is +193776*****

What schools did Chen Cui attend?

Chen Cui attended University Of Dayton, University Of Dayton, Dalian Jiaotong University.

What skills is Chen Cui known for?

Chen Cui has skills like Machine Learning, Image Processing, Computer Vision, Matlab, Python, C, Microsoft Office, Microsoft Excel, Electronics, Programming, Electrical Engineering, Microsoft Word.

Who are Chen Cui's colleagues?

Chen Cui's colleagues are Giovanna Lewis, Joe Xia, Justin Chen, Sachin Kesarwani Sachin Kesarwani, Yihang Xu, Rafaella Oliveira, Yubraj Adhikari.

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