Tzu-Heng Huang

Software Engineer Intern         Location: San jose, CA          Email: [email protected]           : LinkedIn.Page

Work Experience (PR, authorized to work for any US employer legally)

Jul. 2019 ~ Sep. 2019                              Argonne National Laboratory

Research Aide in Array of Things, @Chicago in United States

  • The Array of Things (AoT) is an urban sensor network in Chicago city, measuring environmental factors that impact livability in cities such as climate, air quality, pedestrian, floodwater, and noise.
  • Used machine learning methods to calibrate temperature sensor data with the current ambient light level.
  • Applied pattern identification algorithms to improve calibration model accuracy.
  • Connected data API and transferred data to different sensor network platforms.

Feb.2018 ~ present                                    Academia Sinica

Research Assistant in Network Research Lab, @Taipei in Taiwan

  • Contributed to the Location-Aware Sensing System (LASS), the biggest large-scale PM2.5 sensing IoT system with more than 7,000 participating devices over more than 50 countries.
  • Constructed an optimal deep learning model (Seq2seq) to forecast real-time air quality.
  • Analyzed multiple time series data and surveyed edge computing research.
  • Developed an IoT sensing hub to detect air quality and administered an open-source (PiM25) community.
  • Tested the first generation of MIT air quality sensors and enhanced data quality with calibration models.

Jul 2017 ~ Present                                      National Cheng-chi University

Research Assistant in the College of commerce, @ Taipei in Taiwan

  • Employee turnover prediction and organized an employee database according to end-user information.
  • Developed an automotive analysis platform to generate data reports based on employees' personalities.

Research Projects

Forecasting Air Quality with Seq2seq Model on Edge Computing, @Academia Sinica

  • Developed a sliding window-based time series forecasting model with Tensorflow. 
  • Reduced burden on the cloud server and improved the efficiency and accuracy of the predictive model.

Spatial-Temporal Correlation Modeling of Community-Based Sensor Network, @Data Mining Lab

  • Estimated air concentration and discovered the correlation between target and neighbor sensors. 
  • Filling missing data with correlation modeling in large-scaled sensor network.

Developed a Low-Cost Devices Calibration System of PM2.5 Measurements, @Academia Sinica

  • Provided a correction regression formula and released an open calibrated API for citizens. 
  • Utilized professional weather stations as reference data to correct low-cost sensor data. 
  • The project proposal was accepted with College Student Research Scholarship and approved by MOST

Pattern Identification-Based Hybrid Model to Calibrate Sensor Data, @Argonne National Lab

  • Proposed a novel data science approach to reduce radiative error with environmental factors. 
  • Applied subsequence cluster algorithm (K-means / DBSCAN) with multiple sensor data.

An Enhanced version of Anomaly Detection Framework using Time Series Correlations, @Academia Sinica

  • Employed correlation methods from the field of spatial outlier detection and time series data mining. 
  • Generalized an enhanced anomaly detection framework and identified pollutant events.

Software Projects

Dec. 2018 ~ Apr. 2019                                                   PiM25 Community

  • Combined PM2.5 sensor and Raspberry Pi to develop a truly end-to-end IoT ecosystem. 
  • Built a customer data visualization, outlook design, and an efficiently OTA update mechanism. 
  • The first Taiwan project published on the Magpi (an official Raspberry Pi magazine), and got accepted in HKoscon (2019) and COSCUP (2019) to give a short talk.   

Feb. 2018 ~ Mar. 2019                                            The first generation environmental sensor

  • Tested and deployed more than 70 environment sensors in Taiwan and detected the anomaly devices.
  • Provided a regression model for pm2.5 sensors to calibrate data and improve data quality.

Feb. 2018 ~ Mar. 2019                                                               Graduate Admission Prediction

  • Built a ShinyApp user interface to predict graduate admissions and visualized data analysis.

Scholarships

Jul 2019 ~ Sep. 2019                                                                International Internship Program

Student participating in international internship program approved by National Cheng-Chi University.

Jul 2017 ~ Mar. 2020                                                              Undergraduate Student Research

Student participating in research program approved by Ministry of Science and Technology (MOST)

Background


Education

National Cheng-chi University

Sep. 2016 ~ Jun. 2020

Senior Student (Recent) GPA 3.86 

  • Major in Computer Science Minor in Big Data Analysis Program and Fintech program
  • Research field: Data Science (ML), Edge Computing, IoT Ecosystem, Embedded System


Skills

  • Programming Languages: Python, C++ / C, VBA, R, SQL
  • Embedded System: Raspberry Pi (Raspbian), STM32 (Mbed OS), Linked 7688 (OpenWrt) 
  • Others: Git, PCB design (Eagle), LPWAN (Sigfox, NB-IoT), Tensorflow, Keras, ShinyApp 
  • Languages: English, Chinese


Invited Talks

  • "The 24th of the Raspberry Pi Meetup". Jan. 2019 - Attendance 100+ 
  • "Raspberry Pi Jam". Mar. 2019 - Attendance 70+ 
  • "Techbang Magazine PiM25 Project Sharing", Mar. 2019 - Attendance 60+ 
  • "LASS Conference International Session", Jul. 2019 - Attendance 100+

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