Welcome to

Wang Hydro-environment Informatics Research Lab

Modeling to connect big data and decision making

Latest Updates

Research News: Recommendation algorithms that power Amazon, Netflix can improve satellite imagery, too

Cloud cover is the nightmare of satellites. If the earth's surface is covered by clouds, satellite imaging will lose data or suffer from a bad data quality in #earthobservation. I found an analogy between satellite observation and online shopping (the figure below). So I dare to apply the online shopping algorithm to the cloud problem. Surprisingly, amazing results can be obtained to recover the lost data due to cloud covers. After a long wait, the paper is finally published this month at here. (5/11/2022)

Congratulation: Behzad Golparvar

I am very proud of my student Behzad Golparvar who received the 2021 AGU Outstanding Student Presentation Award (https://lnkd.in/emKxnHc6). We are trying to break the Nyquist requirement of tidal harmonic analysis. The hope is to use satellites to obtain the tidal dynamics around the world. If you are interested, please find the poster at here. (4/2022)

Looking for motivated students to join WHIRLab

Various research opportunities will be available at WHIRLab. Motivated students are encouraged to send their CVs to Dr. Wang at rq.wang@rutgers.edu for inquiries. Undergraduate interns, visiting scholars/students, and Master/PhD students are all welcome. (12/30/2021)

New Team Members

Welcome our new members, Winston Wu and Eshwanth Asok. Winston obtained his PhD at University of Delaware and will work on the data uncertainty issues in data assimilation using dynamic systems theory. Eshwanth graduated from the University at Buffalo and will explore the environmental impact of hydrokinetic energy (12/20/2021).

New Theoretical Model to Predict the Leakage of Nano-sieves

Our new theoretical model is published to predict the leakage of nano-sieves with different material properties. The study is published at Rutgers Today (11/10/2021).

Better Method to Predict Offshore Wind Power

Rutgers researchers have developed a machine learning model using a physics-based simulator and real-world meteorological data to better predict offshore wind power. Find the story at Rutgers Today (10/23/2021).

New Grant for 5G interuption on Weather and Climate Monitoring/forecasting

WHIRLab received an NSF research grant to examine the impact of 5G leakage on weather forecasting. More. (9/1/2021)

New Project Funded for Storm Surge Warning System

WHIRLab received a new research grant from NJ Transit to design and develop a storm surge warning system to forecast and inform flooding in a railway station in NJ.(7/26/2021)

Reconfigurable Array of High-Efficiency Hydrokinetic Energy Harvesting

WHIRLab received new funds from US DOE to spearhead the environmental impact of tidal energy harvesting.(2/23/2021)

Turbulence Characteristics and Mass Transport in the Near-Wake Region of an Aquaculture Cage

Aquaculture is booming in the world. Its environmental impact on the coastal development is still poorly understood. We published a new study to experimentally analyze the turbulent transport characteristics in the wake zone of the fish cage. The study is published in Water (2/23/2021).

Nature Human Behaviour Paper published

Twitter announced it would remove the precise geotagging feature in tweets. In addition to protecting the location privacy of users, this change also affects human behavior studies based on geotagged tweets. We discussed the potential impact of Twitter’s decision and how researchers can respond to this change. Very excited to publish in Nature journals for the first time. Thank you for the great collaboration, Yingjie Hu! The paper is at here (11/2/2020)

Our lab has a wide spectrum of research topics, including coastal and urban resilience, environmental cyber-security, remote sensing, offshore wind energy, multiphase flows, nano-microfluidics, etc.

Please read our work in the research section.