Daniel Obenour, PhD, PE
Dan Obenour is interested in the development of quantitative models that improve our ability to understand and manage complex environmental systems. His previous research has focused on the problems of hypoxia (low dissolved oxygen) and harmful algal blooms in the Great Lakes and northern Gulf of Mexico. Dan also has considerable experience in the modeling of watersheds, streams, and reservoirs, related to the development of total maximum daily load (TMDL) studies and nonpoint-source pollution control plans. Dan recognizes the inherent uncertainties involved with modeling coupled human-natural systems, and thus focuses on the development of advanced probabilistic (e.g., Bayesian and geostatistical) modeling frameworks. He also aims to reduce model uncertainty through the assimilation of diverse sources of environmental information within these frameworks.
Jonathan Miller is a PhD student in Civil Engineering focusing on Water Resources. After 15 years of teaching high school math in North Carolina and Guatemala, he returned 3 years ago to become a civil engineer. His current research focuses on using hierarchical regression models to determine anthropogenic stressors that are affecting fish habitats in the Gulf of Mexico. Using mathematical models to help understand complex civil engineering problems and convey those results in a clear way that can change the way we manage and interact with those systems is his goal. Teaching is another of his passions and he will be teaching Hydraulics with the Preparing the Professoriate program in the spring of 2016.
Yue Han is currently a PhD student in the Water Resources Engineering program at the North Carolina State University. She has the expertise in the fate and transport of contaminants in surfacewater, with two years of research experience in geographical analysis and water modeling. Her current research is on analyzing the suppression of harmful algal bloom using enhanced circulation and mixing in water supply reservoirs. She is also a member of the American Society of Civil Engineers, and she holds a MS in Environmental Engineering from University of Pittsburgh, PA. Her Masters research included an evaluation of potential environmental impacts of unconventional gas drilling activities in Pennsylvania.
Alexey Katin is a PhD student in Civil Engineering focusing on water resources. He received a B.S. from National University of Science and Technology (Moscow, Russia) in 2009 and an M.S. from Dresden University of Technology (Dresden, Germany) in 2015. His master thesis was devoted to assessment of submarine groundwater discharge using radon as natural tracer in Hiroshima area (Japan). His research interests center on hypoxia problems in the Neuse River Estuary through the application of coupled mechanistic and probabilistic models for predicting bottom dissolved oxygen concentration.
Shiqi Fang, firstname.lastname@example.org
Shiqi Fang is a PhD student in the Water Resources Engineering program. He received his B.E. and M.S. from China Agricultural University. His master research focused on water resources allocation under uncertainties in semi-arid area. His previous research involved agricultural water management, crop modeling, and uncertainty management. Currently, he is working on harmful algal bloom dynamics in Western Lake Erie using geostatistical methods.
Hayden Strickling is a Masters student at NCSU, focusing on Water Resources. A graduate of UNC-Chapel Hill, Hayden has worked for several years in the green building industry before deciding to return to pursue a career in Civil Engineering. Previous research included using Agent-based modeling to assess the dynamic interactions of social and hydraulic responses during a water contamination emergency. Currently he is working on nutrient load trend analysis in the Neuse River basin as part of a predictive model for forecasting hypoxic conditions in the Neuse Estuary.
Rohith Matli, email@example.com
Rohith is a Masters student in Environmental Engineering focusing on water resources. He received his Bachelor of Science from Pondicherry University, India. His previous research focused on analyzing compositional variability of rainwater for long-term storage and utility. He is currently working on modelling hypoxia in Gulf of Mexico using geostatistical methods.
Dario Del Giudice, PhD, firstname.lastname@example.org
Dario is a postdoctoral researcher interested in understanding and quantifying the impacts of climate variability and human pressures on the quantity and quality of water resources. In his research at the interface of catchment hydrology and surface water quality impairments, he leverages process-based computer models, stochastic methods for uncertainty quantification and Bayesian inference. Dario earned a doctorate from the Swiss Federal Institute of Technology in Zurich, an MSc from the École polytechnique fédérale de Lausanne, and a BSc from the University of Bologna. After moving from Stanford, where he was working at the Carnegie Institution for Science, he is currently focusing on predicting how riverine nutrient loads and hydrometeorological forcings foster eutrophication and dead zones in critical systems such as the Gulf of Mexico and the Great Lakes.
Kevin’s work focuses on hierarchical models and spatial analysis. His projects in the lab include modeling the impacts of anthropogenic stressors on fish presence in Pacific coast estuaries; geostatistical modeling of hypoxia in the Gulf of Mexico; predicting arsenic and lead bioavailability in soils; and assessing the utility of lead presence measures in predicting blood lead levels in impacted areas. Kevin received dual Master’s degrees in Conservation Ecology (MS) and Landscape Architecture (MLA) from the School of Natural Resources and the Environment at the University of Michigan. He has interests in spatial analysis and modeling, landscape ecology, and ecosystem services. In his MS thesis he used point process modeling to characterize the 9-year spatial distribution of an important ecosystem service provider in Mexican coffee farms and identified potential drivers of this distribution.
Brianne Walker (graduating 2016)
Kristen McCahill (graduated 2016)
Jeremy Smithheart (graduated 2016, continuing for MS)