Education

University of South Florida

Ph.D in Environmental Engineering

University of South Florida

M.S in Environmental Engineering

Course & License

Coursework

  • EES6107 Bio Princ of Environ Eng
  • ENV6438 Drinking Water Treatment
  • ENV6666 Aquatic Chemistry
  • CGN6311 Intro to Data Science
  • ENV6337 Environ Site Assessment
  • ENV6105 Air Pollution Fundamentals
  • License

  • Fundamentals of Engineering exam (In progress)
  • Skills

    Programming

    R (RStudio) • Python (PyCharm) • LaTeX • MATLAB • HTML • VS Code • Power BI

    Lab Professional

    XRD • SEM/EDS • GC-FID • HPLC • TCLP • IC • Membrane bioreactor • Microalgae/bacteria cultivation • Advance adsorbent

    Technology

    Data visualization • Machine learning • Neural networks • SVMs • RNN • CNN • System dynamic modeling

    Computer

    Origin Pro • Markdown • ArcGIS • AutoCAD • Visual MINTEQ • MS Office

    Language

    English (fluent) • Mandarin (native)

    Awards

  • NOWRA Emerging Prof. Scholarship, 2023
  • IWA NSS Conference Best Poster Award, 2023
  • Richard Stessel Mem. Fellowship, 2021
  • Richard Stessel Mem. Fellowship, 2019
  • Professional Associations

  • IWA: Student member, 2022-2024
  • WateReuse: Student member, 2022-2024
  • NOWRA: Student member, 2020-2024
  • AWWA: Student member, 2017-2018
  • Research & Teaching Experience

    Graduate Research Assistant

    • Collaboratively advanced R&D for a wastewater treatment system, playing a pivotal role in the process, analysis, and report of field test data.
    • Research on a treatment process to enhance nutrient removal and recovery, with a specific focus on reducing nutrients in reused water.
    • Developed the system's dynamic model, focusing on water, energy, and nutrient cycles.

    Graduate Teaching Assistant

    ENV4001 Environmental Systems Engineering & ENV4004 Environmental Engineering Lab
    • Conducted weekly TA sessions and lab experiments.
    • Offered academic assistance during office hours and provided feedback on student's assignments.
    • Prepared homework, exams, and laboratory protocols to support students.

    Graduate Research Assistant (NSF project: ICARUS)

    Membrane Biotechnology Lab (USF)
    • Improved prototype microalgae cultivation pods for enhanced efficiency in wastewater treatment applications.
    • Led the integration and testing of microalgae cultivation with an aquaponic system.
    • Analyzed microalgae and water samples to quantify nutrient removal recovery and biomass production.

    Recent Projects

    Estimating Water Qualities Using Machine Learning for Wastewater Treatment System

    • Developed machine learning-based soft sensor models to estimate key water quality parameters (COD, TSS, and pathogens) using inline sensors.
    • Achieving prediction accuracies within 10% for COD and TSS concentrations ranging from 10-3000 mg/L.
    • Demonstrated proficiency in utilizing R and Python for data analysis and machine learning model development.

    Greywater Pretreatment via Electrocoagulation and Membrane Filtration

    • Led R&D efforts for a novel direct membrane filtration system combining poly aluminum chloride and electrocoagulation, applied in real-world settings.
    • Successfully doubled the ultrafiltration membrane flux, enhancing system efficiency.
    • Familiar with operating the tubular membrane and advanced oxidation process.

    Trace Pollutant Removal Using Advanced Adsorbents

    • Conducted research on porous materials for trace pollutant removal applications.
    • Implemented covalent organic frameworks (COFs) and porous organic polymers (POPs) in water phase environmental pollution control.
    • Demonstrating their efficacy in capturing and removing contaminants.

    Measuring and Mapping Particulate Matter Across Campus

    • Conducted comprehensive mapping of particulate matter concentrations across the campus, establishing correlations between pollutant levels and sources.
    • Identified unpaved roads as the primary source of air pollutants on campus through detailed analysis.
    • Familiar with using ArcGIS and MATLAB for mapping and air quality modeling.

    Publication & Conference Proceedings

    1. Shyu, H.-Y., Castro, C. J., Bair, R. A., Lu, Q., & Yeh, D. H. (2023). Development of a Soft Sensor Using Machine Learning Algorithms for Predicting the Water Quality of an Onsite Wastewater Treatment System. ACS Environmental Au.
    2. Castro, C. J., Shyu, H.-Y., Hoque, B., & Yeh, D. H. (2023). Evaluating the use of chemically modified clinoptilolite zeolite for the simultaneous recovery of ammonium and phosphate from blackwater. Environmental Science: Water Research & Technology, 9(3), 818–832.
    3. Castro, C. J., Shyu, H.-Y., Xaba, L., Bair, R., & Yeh, D. H. (2021). Performance and onsite regeneration of natural zeolite for ammonium removal in a field-scale non-sewered sanitation system. Science of The Total Environment, 776, 145938.
    4. Shyu, H.-Y., Bair, R. A., Castro, C. J., Xaba, L., Delgado-Navarro, M., Sindall, R., Cottingham, R., Uman, A. E., Buckley, C. A., & Yeh, D. H. (2021). The NEWgenerator™ non-sewered sanitation system: Long-term field testing at an informal settlement community in eThekwini municipality, South Africa. Journal of Environmental Management, 296, 112921.
    • Shyu, H.-Y., Bair, R. A., Castro, C. J., Xaba, L., & Yeh, D. H. (Conference presentation) "Onsite Water Reuse Field Testing at an Informal Settlement Community." 37th Annual WateReuse Symposium, Mar 6–9 2022, San Antonio, TX, USA.