Abstract View
Zhonghua Zheng, Ph.D. Candidate in Environmental Engineering and Science (UIUC), Faculty / Research Scientist / Postdoc
ZHONGHUA ZHENG, University of Illinois at Urbana-Champaign
Abstract Number: 313
Working Group: Meet the Job Seekers
Abstract
Introduction:
I am currently a Ph.D. candidate in Environmental Engineering and Science with a concentration in Computational Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC), supervised by Prof. Nicole Riemer.
I have been a Data Scientist Intern at the industry and a Research Intern at the United States Department of Energy national laboratory for about three years.
Objective:
I am seeking for a Faculty / Research Scientist / Postdoc position.
Dissertation Research:
My interdisciplinary dissertation research investigates the integration of large-scale Earth system modeling and high-detail numerical model simulations via Data Science (Machine Learning). My research projects include but not limited to:
(1) Built computationally efficient surrogate models to predict aerosol mixing state at the global scale using a supervised learning approach
(2) Quantified error in aerosol mixing state induced by aerosol representation assumptions
(3) Regionalized the global aerosol mixing state using an unsupervised learning approach
Future Research:
My future research centers on integrating physics and chemistry, multi-source multi-sensor data, and a data-driven approach to improve the modeling and engineering of complex urban environment systems (e.g., project the effectiveness of air pollution mitigation measures).
Availability:
Tentative starting time is in Spring 2021 or Fall 2021.
Web: http://go.illinois.edu/zhonghua
Email: zzheng25@illinois.edu