Dr Lu’s research interest lies at the interface of quantum optics and material science in two-dimensional van der Waals structure.

Recent Publications

Google Scholar

1. W. Li, X. Lu, S. Dubey, L. Devenica and A. Srivastava. Dipolar interactions between field-tuneable, localized emitters in van der Waals heterostructures. Nature Materials 19, 624-629, 2020.

2. X. Lu, X. Chen, S. Dubey, Q. Yao, W. Li, X. Wang, Q. H. Xiong and A. Srivastava. Optical initialization of a single spin-valley in charged WSe2 quantum dots. Nature Nanotechnology 14, 426-431, 2019.

3.  X. Chen, X. Lu, S. Dubey, Q. Yao, S. Liu, X. Wang, Q. H. Xiong, L. Zhang and A. Srivastava. Entanglement of single-photons and chiral phonons in atomically thin WSe2. Nature Physics 15, 221-227, 2019.

4. X. Lu, M. I. B. Utama, X. Wang, W. Xu, W. Zhao, M. H. S. Owen and Q. H. Xiong. Gate‐Tunable Resonant Raman Spectroscopy of Bilayer MoS2. Small, 13 (35), 1701039, 2017.

Aron Culotta is an Associate Professor of Computer Science at Tulane University. His research investigates computational methods to learn about human behavior from online social networks, combining machine learning, natural language processing, and social network analysis.  Examples include tracking diseases, measuring effectiveness of public health campaigns, informing crisis response, preventing online harassment, detecting deceptive marketing, and identifying unsafe products. He obtained his Ph.D. in Computer Science from the University of Massachusetts, Amherst in 2008, was a Microsoft Live Labs Fellow, a Nayar Prize Finalist, and recipient of best paper awards at AAAI and CSCW. His interdisciplinary research is supported by several NSF-funded collaborations with researchers in public health, political science, marketing, and emergency management.

Research Interests

natural language processing; social network analysis; data science; machine learning; domain adaptation; causal inference; public health; crisis informatics

Google Scholar Page

Research in the McSkimming group is focused on synthetic inorganic chemistry. Drawing inspiration from the active sites of metalloenzymes, our primary goal is to design and prepare precise ligand frameworks that support unusual and highly reactive metal complexes. Ultimately, we aim to develop creative and effective catalysts for the conversion of industrially important substrates such as CO and N2.

Disciplines

Inorganic chemistry, Organometallic chemistry

Selected Publications

McSkimming, A.; Cheisson, T.; Carrol, P. J.; Schelter, E. J., Functional Synthetic Model for the Lanthanide-Dependent Quinoid Alcohol Dehydrogenase Active Site, J. Am. Chem. Soc., 2018, 140(4), 1223–1226.

McSkimming, A.; Harman, W. H., A Terminal N2 Complex of High-Spin Iron(I) in a Weak, Trigonal Ligand Field, J. Am. Chem. Soc., 2015, 137, 8940–8943.

McSkimming, A.; Bhadbhade, M. M.; Colbran, S. B., Bio‐Inspired Catalytic Imine Reduction by Rhodium Complexes with Tethered Hantzsch Pyridinium Groups: Evidence for Direct Hydride Transfer from Dihydropyridine to Metal‐Activated Substrate, Angew. Chem. Int. Ed. 2013, 52, 3411–3416.

McSkimming, A.; Colbran S. B., The coordination chemistry of organo-hydride donors: new prospects for efficient multi-electron reduction, Chem. Soc. Rev., 2013, 42, 5439–5488.

My research interests include Fluvial Geomorphology, Tectonic Geomorphology, Stream Incision and Hillslope Response to Climatic and Tectonic Forcing, The application of cosmogenic nuclides, Landscape Evolution.

Publications

Kim, D.E., Seong, Y.B., Weber, J., Yu, B.Y. (2019) Unsteady migration of Taebaek Mountain drainage divide, Cenozoic extensional basin margin, Korean Peninsula. Geomorphology, 107012.

Kim, D.E., Seong, Y.B., Choi, K.H., Yu, B.Y. (2017) Role of debris flow on the change of 10Be concentration in rapidly eroding watersheds: a case study on the Seti River, central Nepal. Journal of Mountain Science 14, 716–730.

Kim, D.E., Seong, Y.B., Byun, J., Weber, J., Min, K. (2016) Geomorphic disequilibrium in the Eastern Korean Peninsula: Possible evidence for reactivation of a rift-flank margin. Geomorphology 254, 130–145

In the past several years, I developed a computer modeling system to predict storm surges (ADCIRC/DELFT3D), hurricane waves (SWAN), and corresponding wetland erosion and sedimentation (DELFT3D) under unstructured meshes and curvilinear grids for gulf-scale and regional applications; improved a parametric hurricane wind model based on the asymmetric Holland-type vortex models; analyzed directional spectra of hurricane-generated waves in the Gulf of Mexico; did numerical study of vegetation impact on reducing storm surge by wetlands; and carried numerical modeling of salt marsh morphological change induced by Hurricane Sandy.

My research experiences in China include 2D/3D simulations of tidal current, salinity and sediment transport in the area of Yangtze estuary and Hangzhou bay; prediction of storm-induced wind-waves in the Yangtze estuary; development of a model system, which includes storm-induced wind model, hydrodynamic model and sediment model, for simulating and predicting water levels, waves and morphological changes during a storm event in the Yangtze estuary;

Selected Publications

Book chapters & reports
Wang, H., Chen, Q., Hu, K., Snedden, G.A., Hartig, E.K., Couvillion, B.R., Johnson, C.L., Orton, P.M., 2017. Numerical modeling of the effects of Hurricane Sandy and potential future hurricanes on spatial patterns of salt marsh morphology in Jamaica Bay, New York City. USGS Open-File Report 2017-1016. https://doi.org/10.3133/ofr20171016.

Tao, J., Benger, W., Hu, K., Mathews, E., Ritter, M., Diener, P., Kaiser, C., Zhao, H., Allen, G., and Chen, Q., 2013. An HPC framework for large scale simulations and visualizations of oil spill trajectories. In: Coastal Hazards, Huang, W., Wang, K., and Chen, Q. (ed.), ASCE, ISBN 978-0-7844-1266-4, PP. 13-23, doi: 10.1061/9780784412664.002.

Hu, K., Q. Chen, and P. J. Fitzpatrick, 2012. Assessment of a parametric surface wind model for tropical cyclones in the Gulf of Mexico (http://dx.doi.org/10.5772/51288). In: Advances in Hurricane Research -Modelling, Meteorology, Preparedness and Impacts, Hickey, K. (ed.), InTech, ISBN 980-953-307-559-9, doi: 10.5772/51288.

Peer-reviewed journal articles
Liu, K., Chen, Q., Hu, K., Xu, K., Twilley, R.R., 2018. Modeling hurricane-induced wetland-bay and bay-shelf sediment fluxes. Coastal Engineering 135, 77-90.

Hu, K., Chen, Q., Wang, H., Hartig, E.K., and Orton, P.M., 2018. Numerical modeling of salt marsh morphological change induced by Hurricane Sandy. Coastal Engineering 132, 63-81.

Wang, H., Chen, Q., LaPeyre, M. K., Hu, K., and LaPeyre, J. F., 2017. Predicting the impacts of Mississippi River diversions and sea-level rise on spatial patterns of eastern oyster growth rate and production. Ecological Modelling 352, 40-53.

Wang, H., Chen, Q., Hu, K., and LaPeyre, M. K., 2017. A modeling study of the impacts of Mississippi River diversion and sea-level rise on water quality of a deltaic estuary. Estuaries and Coasts 40(4), 1028-1054.

Xu, K., Mickey, R.C., Chen, Q., Harris, C.K., Hetland, R.D., Hu, K., Wang, J., 2016. Shelf sediment transport during hurricanes Katrina and Rita. Computers & Geosciences 90, 24-39.

Hu, K., Chen, Q., Wang, H., 2015. A numerical study of vegetation impact on reducing storm surge by wetlands in a semi-enclosed estuary. Coastal Engineering 95, 66-76.

Hu, K., Chen, Q., and Kimball, K.S., 2012. Consistency in hurricane surface wind forecasting: An improved parametric model, Natural Hazards 61, 1029-1050.

Hu, K., and Chen, Q., 2011. Directional spectra of hurricane-generated waves in the Gulf of Mexico. Geophysical Research Letters, 38, L19608, doi:10.1029/2011GL049145.

Du, P., Ding, P., and Hu, K., 2010. Simulation of three-dimensional cohesive sediment transport in Hangzhou Bay, China. Acta Oceanologica Sinica, 29(2): 98-106.

Hu, K., Ding, P., Wang, Z., and Yang, S., 2009. A 2D/3D hydrodynamic and sediment transport model for the Yangtze Estuary, China. Journal of Marine Systems 77, 114-136.

Hu, K., and Ding, P., 2009. The effect of deep waterway constructions on hydrodynamics and salinities in Yangtze estuary, China. Journal of Coastal Research, SI 51, 961-965.

Hu, K., and Ding, P., 2007. Numerical study of wave diffraction effect introduced in the SWAN Model. China Ocean Engineering, 21(3): 495-506.

Hu, K., Ding, P., Ge, J., and Kong, Y., 2007. Modelling of storm surge in the coastal waters of Yangtze estuary and Hangzhou bay, China. Journal of Coastal Research, SI 50, 527-533.

Chen, Q., Gu, H., Zhou, J., Meng, Y., and Hu, K., 2007. Trends of soil organic matter turnover in the salt marsh of the Yangtze River estuary. Journal of Geographical Sciences, 17(1): 101-113.

Chen, Q., Zhao, H., Hu, K., and Douglass, S.L., 2005. Prediction of wind waves in a shallow estuary. Journal of Waterway, Port, Coastal and Ocean Engineering, 131(4): 137-148.

Hu, K., Ding, P., Zhu, S., and Cao, Z., 2000. 2-D current field numerical simulation integrating Yangtze Estuary with Hangzhou Bay. China Ocean Engineering, 14(1): 89-102.

Research Interests

Modeling of storm surge, hurricane waves, sediment transports and morphological developments in coastal and estuarine areas.