AI for Science — Researcher

Yahui Huang

[Ph.D. Candidate] / [IUE, CAS]

Just a researcher navigating the complexities of environmental engineering, always striving to explore and reflect. Working at the nexus of AI and wastewater valorization, I'm continuously learning, driven by a desire to do research that sparks new ideas and inspires others.

Never be cruel, never be cowardly. Laugh hard. Run fast. Be kind. 12th Doctor

1About

I am just an ordinary person doing what might seem like ordinary research, often wandering and wondering along the way. But as Feynman once wrote to a former student, no problem is too small or too trivial if we can really do something about it. I am drawn to problems not because they are grand, but because there is something meaningful I can understand, contribute to, or help solve. I hope to stay passionate and curious, doing work that opens up further questions while continuing to ponder the bigger questions in my field.

Research Interests

1. Environmental Modeling: Graph Neural Networks (GNNs) and Neural Differential Equations (NDEs) for complex processes;

2. Intelligent Control: Model Predictive Control (MPC) for intelligent decision-making in system operation;

3. Trustworthy AI: Explainable Artificial Intelligence (XAI) and interpretability for environmental engineering;

4. Wastewater Valorization: Recovery of valuable resources from wastewater and complex liquid streams.

Education

  • [2020 — present] Master to Ph.D. in Environmental Engineering, UCAS
  • [2015 — 2019] Bachelor’s in Environmental Engineering, USTB

Experience

2026

Science Outreach Lecturer

Xiamen Shuangshi High School

Science Outreach
2024

Visiting Ph.D. Student

Helmholtz Centre for Environmental Research

Academic Visit
2021-2025

Laboratory Manager

WTNR Research Team, IUE

Laboratory Management
2018

Participant

APEC YES Challenge

Competition
2017 — 2018

CTO

iBeiKe

Leadership
Selected recognition

Awards & Honors

  1. DAAD Scholarship
    2024
  2. National Scholarship of China
    2022
  3. Innovative Individual awarded by USTB
    2017

2Publications

1.

A novel model (SED-GNDE) integrating graph neural differential equations with selective electrodialysis process for nutrient prediction from synthetic wastewater

Yahui Huang, Zhi-Long Ye, Xiaofang Pan, Jianzhi Huang, Lifeng Lin

Water Research, 2026

2.

Morphological crystal adsorbing tetracyclines and its interaction with magnesium ion in the process of struvite crystallization by using synthetic wastewater

Yahui Huang, Jiasheng Cai, Zhi-Long Ye, Lifeng Lin, Zixiao Hong

Water Research, 2022

3.

Performing comprehensive nutrient recovery through the integration of selective electrodialysis with reverse osmosis by using synthetic swine wastewater

Jingwei Xu, Yahui Huang, Zhi-Long Ye b, Xiaofang Pan, Yenan Li, Lifeng Lin

Desalination, 2026

4.

Differential fouling behaviors of standard and monovalent-selective membranes by digestate-derived dissolved organic matter in selectrodialysis

Xiaofang Pan, Jingwei Xu, Yenan Li, Yahui Huang, Victor Nikonenko, Natalia Pismenskaya, Zhi-Long Ye

Water Research, 2026