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Past
Senior Software Engineer @Wistron Neweb Corporation
2016 ~ Present
Signal processing engineer
Within three months
Modick Basnet Taiwan [email protected] https://www.linkedin.com/in/modickbasnet As a seasoned DSP engineer with over 7 years of experience, I have honed my skills to not only troubleshoot existing problems but also to innovate new solutions whenever the need arises. From my early days as a student to my current role as an Engineer at WNC, I've consistently applied the foundational skills I acquired to analyze and solve complex challenges. My expertise extends beyond algorithm development and signal processing; I actively contribute to the design
C/C++
Matlab
Signal Processing
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Emeritus
Machine Learning
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Avatar of the user.
Senior Data Scientist @PTI 力成科技
2016 ~ Present
大數據分析,資料科學家,資料工程師,AI工程師
Within one month
Data Augmentation for Rare Defect Images
Signal Processing & Recognition
Administrator for Engineering Data Analysis System
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
逢甲大學
Applied Mathematics
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Avatar of the user.
資深軟體工程師 @希恩體感科技股份有限公司 CyweeMotion Inc.
2021 ~ Present
Software Engineer / Algorithm Engineer / Firmware Engineer
Within one month
C
Matlab
Python
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
中原大學 Chung Yuan Christian University
電機工程
Avatar of 周君諦.
Offline
Avatar of 周君諦.
Offline
Senior AI Research/Engineer (part-time) @NeuroBonic Inc.
2022 ~ 2023
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Chun-Ti (Peter) Chou AI (DL/ML) Researcher & Engineer / Signal Processing https://www.linkedin.com/in/chun-ti-chou/ [email protected]/Hsinchu, Taiwan Working Experience and Education Senior AI Research/Engineer NeuroBonic Inc. • MarchPresent As a core startup member, I am responsible for developing a DL framework for our emotion recognition solution. The team joined AppWorks AW#25 (JulyDec, a startup acceleration program. Skills : Digital Signal Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management Master's Degree, Computer Science and
Python
PyTorch
Machine Learning
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming Chiao Tung University
Computer Science
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Avatar of the user.
Computer Vision Engineer @Academia Sinica
2015 ~ Present
Computer Vision Engineer
Within one month
Provides Feedback
Communication
Precision
Open to opportunities
Full-time / Interested in working remotely
6-10 years
LUNGHWA university
Master of Science
Avatar of Thomas Disselkamp.
Consulting: optical systems, electrical and magnetic materials
More than one year
Thomas Disselkamp Active Citizen with Many Pursuits, Community Ties A product development specialist in the 3M Company's Infection Prevention Division, Thomas Disselkamp has taken the lead on many important corporate projects. Across a nearly 30-year career, Tom Disselkamp has earned expertise in several areas, such as infrared and ultraviolet optics, signal processing, medical diagnostic equipment, and polarimetry. However, outside of work, Thomas Allen Disselkamp pursues many activities and hobbies and devotes himself to several charities. Outdoors and around the home, Disselkamp enjoys vegetable gardening, repair projects, and landscaping. Cutting and carrying firewood is a
Word
Excel
PowerPoint
Open to opportunities
Part-time
More than 15 years
University of Minnesota, Minneapolis MN
Bachelor of Science in Electrical Engineering, emphasis on materials science
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Avatar of G Dora Babu.
Lecturer @Department Of Technical Education
2013 ~ Present
Teaching / Software
Within six months
G Dora Babu M.Tech in Information Systems (EE) from Indian Institute of Technology Kanpurand 1.5 years industry experience in Signal Processing and 12.5 years teaching experience. Kurnool, Andhra Pradesh, India Work Experience Lecturer • Department Of Technical Education FebruaryPresent Teaching and research activities in the following areas of specialization: CONTROL SYSTEMS ANALOG CIRCUITS MICROPROCESSORS MEASUREMENTS PROCESS CONTROL Sr.DSP Engineer • ATC LABS, NOIDA JanuaryMay 2012 • PROJECT: Audio Pre Processor Design Duration: 1Year Team Size: 2 Description: Project design involves developing pre processing modules to improve audio quality like Dynamic range compression, Bass Enhancement
Teaching in Electronics and Instrumentation Engineering
Software Development
C
Employed
Full-time / Interested in working remotely
10-15 years
Andhra university college of engineering
Instrumentation
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Avatar of Kyle.
資深工程師 @宏達國際電子
2017 ~ 2020
資深工程師
Within three months
Kyle Shiao Algorithm Engineer Taipei, Taiwan [email protected]" Aboring in Signal Processing Lab, growing up in Sound Perceptive Team, I loved understanding all about Sound." I'm an audio engineer, majoring in sound algorithm development, including speech, microphone, microphone array, speaker, spatial audio...etc. I will tell them apart to three topics: AIdio(AI-Audio), Spadio(Spatial-Audio), and Commudio (Communication-Audio). I really like to know how the sound or sound effect happened. Nothing can be more fascinating and wonderful than immerse in true sound
word
powerpoint
Matlab
Employed
Full-time / Interested in working remotely
4-6 years
元智大學
電機工程電腦組
Avatar of JIH-CHANG, HUANG.
Avatar of JIH-CHANG, HUANG.
軟體工程師 @Ampoc Far-East Co., Ltd
2022 ~ Present
Software Engineer
More than one year
. Education National Yunlin University of Science and Technology, Master’s Degree, Department of Mechanical Engineering, 2015 ~ 2017 National Formosa University, Bachelor’s Degree, Department of Automation Engineering, 2011 ~ 2015 Skills Mechanical Design Summary: Measuring instrument Automatic production line semiconductor equipment Tools: Solidworks Inventor AutoCAD Software Development Summary: Measuring instrument Signal processing Circuit design of equipment Tools: C# Project (Mechanical Design) My job responsibility is to design customized machines. From design through assembly and testing, including liaising with suppliers. Industry types include measuring instruments, automated production lines, and semiconductor machines. Project (Software Development) Building the measuring
C#
VB.NET
MySQL
Employed
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
National Yunlin University of Science and Technology
Department of Mechanical Engineering
Avatar of ANG JIA YI.
Avatar of ANG JIA YI.
Test Solution Engineer @Micron Technology 台灣美光
2022 ~ Present
Software Engineer, Research & Development, Project Manager
Within one year
Engineer, Research & Development, TW [email protected] Research Gate Page My Curriculum Vitae SKILL C language, Assembly, Python, Basic Stamp, PLC, Matlab, PCB design, Robotics, Embedded system, 3D printing, Control system, Arduino, Microcontroller, LabView, Electronic and Electrical, System Identification, Artificial Neuron Network, Composite materials and piping, Machine Vision, Signal Processing, PHP . Work Experience Micron Technology 台灣美光, Test Solution Engineer, Mar 2022 ~ Present -HBM2e & HBM3 3D Packaging Test Program Development -Develop test program for HBM production automated test equipment including new test, product algorithms which covers software and hardware requirements. -Evaluate and verify yield
System Identification
Composite Materials
Embedded System
Employed
Full-time / Interested in working remotely
6-10 years
Universiti Malaysia Perlis
Mechatronic Engineering

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Experienced AI Researcher Specializing in Signal Analysis
Logo of NeuroBonic Inc..
NeuroBonic Inc.
2022 ~ 2023
Taiwan, 台灣
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Scientist, Python Developer, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Python
PyTorch
Machine Learning
Deep Learning
Biosignal processing
Signal Processing
Languages
English
Fluent
Chinese
Native or Bilingual
Job search preferences
Positions
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Job types
Full-time
Locations
新加坡, 台灣新竹市, 台灣台北, 台灣台中
Remote
Interested in working remotely
Freelance
No
Educations
School
National Yang Ming Chiao Tung University
Major
Computer Science
Print

Chun-Ti (Peter) Chou

AI (DL/ML) Researcher & Engineer / Signal Processing



https://www.linkedin.com/in/chun-ti-chou-49533074/

  [email protected]    (+886) 925-140-314  Taipei/Hsinchu, Taiwan

Working Experience and Education

Senior AI Research/Engineer

NeuroBonic Inc. • March 2022 - Present

  • As a core startup member, I am responsible for developing a DL framework for our emotion recognition solution. 
  • The team joined AppWorks AW#25 (July 2022 - Dec. 2022), a startup acceleration program.
  • SkillsDigital Signal Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management

Master's Degree, Computer Science and Engineering Education

National Yang-Ming Chiao Tung University (NYCU) • July 2021 - September 2023

  • Advisor: Dr. Vincent S. Tseng 曾新穆 (Chair professor, CSIE, NYCU.)
  • ThesisSelf-supervised pulse-aware and interpretable disentangled ECG representation learning.
    • Proposed a self-supervised learning framework with two-fold training efficiency compared to the existing methods.
    • The proposed framework offers a clinically interpretable representation, a crucial aspect in clinical applications.
    • I proactively organized a regular research study group with other lab members to progress our research.
  • Participating in research projects: a comprehensive description is in "Project Experiences".
  • SkillsDatabase buildup (SQL), Data Engineering (NumPy, SciPy, Pandas), Machine Learning (Scikit learn), Deep Learning (PyTorch, PyTorch lightning), C/C++ 

Biosignal Algorithm Engineer 

Rooti Labs Ltd.  •  August 2016 - July 2020

  • Supervisor: Michael Li 黎克邁 (CEO, Rooti Labs Ltd.)
  • The primary developer of the processing and interpretation algorithm for long-term ECG recordings. 
    • The developed algorithm significantly enhanced the arrhythmia detection accuracy by 60%
    • This advancement reduced interpretation time, cutting it from hours to just under 20 minutes.
  • Leadership and project management: Experiences in leading the project of the application process for medical device certifications, including CE and TFDA. 
  • English speaking: Participating in two overseas visits and medical congresses, offering technical support and explanation.
  • SkillsDigital signal processing, Python, Machine learning, Deep learning (Tensorflow).

Bachelor's Degree, Biomedical Engineering Education

National Yang-Ming University (NYMU)  •  July 2011 - July 2015

  • Advisor: Dr. Chun-Min Lo 羅俊民 (Associate professor, BME, NYMU.)
  • Graduation Research ProjectAnalysis of Impedance Fluctuation Obtained by ECIS using  Wavelet Transformation.


Project Experiences

Arrhythmia Sustainability Prediction with Feature Engineering and ML Algorithm

Division of Cardiology, National Yang-Ming Chiao Tung University Hospital • June 2022 - July 2023

  • Status: Paper in progress.
  • Role: Data engineer, ML algorithm engineer
  • Contributions: Improved the efficiency of the feature extraction process, Generating reports, and Conducting field validation.
    • Implemented a feature extraction process for variable-length time series data, which includes signal pre-processing, morphology recognition, and temporal-spectral analysis.
    • Conducted an automatic model comparison and selection pipeline for multiple single-model and ensemble methods.
    • The performance was improved by 14% after the model selection and fine-tuning process.

A Multimodal Framework for Left Ventricular Mass Estimation from ECG Signals

Division of Cardiology, National Taiwan University Hospital • December 2021 - June 2023

  • Status: Ready to submit. 
  • Role: Researcher, Data engineer, DL algorithm engineer
  • ContributionsBuilding database, Paper survey, Methodology proposal, Experiment conduction, and Paper writing.
    • Built an SQL database from XML files that include essential information, demographic data, and ECG signal recordings.
    • The proposed sex-specific method improved the performance by 25% in terms of mean absolute error (MAE).

Arrhythmia Prediction in Long-period ECG Recordings. 

Division of Cardiology, Taipei Veterans General Hospital • October 2021 - Present

  • Status: Research in progress.
  • Role: Researcher, Data engineer, DL algorithm engineer
  • Contributions: Building database (SQL), paper survey, methodology proposal and implementation, experiment conduction.
    • Built a database for long-period ECG signals that were recorded under the sampling rate of 125 Hz.
    • Designed and implemented a sampling algorithm for continuous long-period signals to fit the requirements of this research.

Professional Skills

  • Proficient in multiple programming languages and script languages, such as Python, C/C++, and SQL.
  • Proficient in data processing libraries and visualization tools, such as NumPy, SciPy, Pandas, Matplotlib,  Seaborn, and WandB
  • Proficient in machine learning and deep learning frameworks, such as Scikit-Learn, Pytorch, Pytorch-Lightning, and Tensorflow.
  • Experiences in collaborations with different institutes, as described above.
  • Good communication skills, strong motivation, ability to advance a project productively, and ability to work independently.

Irrelevant Experiences

  • I used to play the role of vocal in a band during college and sometimes played guitar.
  • A huge fan of Spider-Man.
Resume
Profile

Chun-Ti (Peter) Chou

AI (DL/ML) Researcher & Engineer / Signal Processing



https://www.linkedin.com/in/chun-ti-chou-49533074/

  [email protected]    (+886) 925-140-314  Taipei/Hsinchu, Taiwan

Working Experience and Education

Senior AI Research/Engineer

NeuroBonic Inc. • March 2022 - Present

  • As a core startup member, I am responsible for developing a DL framework for our emotion recognition solution. 
  • The team joined AppWorks AW#25 (July 2022 - Dec. 2022), a startup acceleration program.
  • SkillsDigital Signal Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management

Master's Degree, Computer Science and Engineering Education

National Yang-Ming Chiao Tung University (NYCU) • July 2021 - September 2023

  • Advisor: Dr. Vincent S. Tseng 曾新穆 (Chair professor, CSIE, NYCU.)
  • ThesisSelf-supervised pulse-aware and interpretable disentangled ECG representation learning.
    • Proposed a self-supervised learning framework with two-fold training efficiency compared to the existing methods.
    • The proposed framework offers a clinically interpretable representation, a crucial aspect in clinical applications.
    • I proactively organized a regular research study group with other lab members to progress our research.
  • Participating in research projects: a comprehensive description is in "Project Experiences".
  • SkillsDatabase buildup (SQL), Data Engineering (NumPy, SciPy, Pandas), Machine Learning (Scikit learn), Deep Learning (PyTorch, PyTorch lightning), C/C++ 

Biosignal Algorithm Engineer 

Rooti Labs Ltd.  •  August 2016 - July 2020

  • Supervisor: Michael Li 黎克邁 (CEO, Rooti Labs Ltd.)
  • The primary developer of the processing and interpretation algorithm for long-term ECG recordings. 
    • The developed algorithm significantly enhanced the arrhythmia detection accuracy by 60%
    • This advancement reduced interpretation time, cutting it from hours to just under 20 minutes.
  • Leadership and project management: Experiences in leading the project of the application process for medical device certifications, including CE and TFDA. 
  • English speaking: Participating in two overseas visits and medical congresses, offering technical support and explanation.
  • SkillsDigital signal processing, Python, Machine learning, Deep learning (Tensorflow).

Bachelor's Degree, Biomedical Engineering Education

National Yang-Ming University (NYMU)  •  July 2011 - July 2015

  • Advisor: Dr. Chun-Min Lo 羅俊民 (Associate professor, BME, NYMU.)
  • Graduation Research ProjectAnalysis of Impedance Fluctuation Obtained by ECIS using  Wavelet Transformation.


Project Experiences

Arrhythmia Sustainability Prediction with Feature Engineering and ML Algorithm

Division of Cardiology, National Yang-Ming Chiao Tung University Hospital • June 2022 - July 2023

  • Status: Paper in progress.
  • Role: Data engineer, ML algorithm engineer
  • Contributions: Improved the efficiency of the feature extraction process, Generating reports, and Conducting field validation.
    • Implemented a feature extraction process for variable-length time series data, which includes signal pre-processing, morphology recognition, and temporal-spectral analysis.
    • Conducted an automatic model comparison and selection pipeline for multiple single-model and ensemble methods.
    • The performance was improved by 14% after the model selection and fine-tuning process.

A Multimodal Framework for Left Ventricular Mass Estimation from ECG Signals

Division of Cardiology, National Taiwan University Hospital • December 2021 - June 2023

  • Status: Ready to submit. 
  • Role: Researcher, Data engineer, DL algorithm engineer
  • ContributionsBuilding database, Paper survey, Methodology proposal, Experiment conduction, and Paper writing.
    • Built an SQL database from XML files that include essential information, demographic data, and ECG signal recordings.
    • The proposed sex-specific method improved the performance by 25% in terms of mean absolute error (MAE).

Arrhythmia Prediction in Long-period ECG Recordings. 

Division of Cardiology, Taipei Veterans General Hospital • October 2021 - Present

  • Status: Research in progress.
  • Role: Researcher, Data engineer, DL algorithm engineer
  • Contributions: Building database (SQL), paper survey, methodology proposal and implementation, experiment conduction.
    • Built a database for long-period ECG signals that were recorded under the sampling rate of 125 Hz.
    • Designed and implemented a sampling algorithm for continuous long-period signals to fit the requirements of this research.

Professional Skills

  • Proficient in multiple programming languages and script languages, such as Python, C/C++, and SQL.
  • Proficient in data processing libraries and visualization tools, such as NumPy, SciPy, Pandas, Matplotlib,  Seaborn, and WandB
  • Proficient in machine learning and deep learning frameworks, such as Scikit-Learn, Pytorch, Pytorch-Lightning, and Tensorflow.
  • Experiences in collaborations with different institutes, as described above.
  • Good communication skills, strong motivation, ability to advance a project productively, and ability to work independently.

Irrelevant Experiences

  • I used to play the role of vocal in a band during college and sometimes played guitar.
  • A huge fan of Spider-Man.