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)
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).
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).
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).
WHIRLab received an NSF research grant to examine the impact of 5G leakage on weather forecasting. More. (9/1/2021)
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)
WHIRLab received new funds from US DOE to spearhead the environmental impact of tidal energy harvesting.(2/23/2021)
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).
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)
Please read our work in the research section.