2011： Ph.D. in Environmental Fluid Mechanics, Stanford University
2008： M.S. in Environmental Fluid Mechanics, Stanford University
2003： M.S. in Atmospheric Sciences, Chinese Academy of Sciences
2000： B.S. in Atmospheric Sciences, Peking University

2023 – Present： Associate Professor, School of Oceanography, Shanghai Jiao Tong University
2016 – 2023： Assistant Research Professor, Rutgers University
2015 – 2016： Research Associate, Rutgers University
2011 – 2015： Research Assistant, Rutgers University
2011 – 2011： Postdoc Fellow, Rutgers University

• Multi-scale Ocean Dynamics & Impacts on Weather, Climate and Ecosystem
• Energetics Analysis Frameworks for Multi-scale Interactions
• Numerical Methods & Model Development (SUNTANS, ROMS, MOM6)
• Ocean, Climate & Ecosystem Modeling
• Artificial Intelligence in Oceanography

• Building capacity for predictability of climate impacts on living marine resources in US coastal systems using the NOAA MOM6 ocean model：NOAA，Main Participant，2020–2024
• Wither the Gulf Stream Workshop: Present understanding and future opportunities for elucidating the role of the Gulf Stream in weather and climate：US CLIVAR / NASA / NOAA / NSF，Co-PI，2022
• Developing regional ocean modeling capabilities with MOM6 for use in the Unified Forecast System：NOAA，Main Participant，2020–2023
• A high-resolution physical-biological study of the Northeast U.S. shelf: Past variability and future change：NOAA，Main Participant，2015–2020
• Collaborative research: EaSM-3: Regional decadal predictions of coupled climate-human systems：NSF，Participant，2014–2018
• Integrated Rapid-Response Observations and Ocean Ensemble Optimization to Improve Storm Intensity Forecasts in the Northeast U.S.：NOAA，Participant，2013–2016
• A CRI-EaSM Collaborative proposal: Climate-to-humans: A study of urbanized coastal environments, their economics and vulnerability to climate change：NSF，Main Participant，2011–2016
• Collaborative Proposal: Multi-Scale Modeling: Assessing the role of eastern boundary upwelling regions and their ecosystems on climate variability using a fully coupled model：NSF，Participant，2010–2016
• ROMS and SUNTANS continued development and support of AESOP and NLIWI：ONR，Main Participant， 2005–2009

• Bisagni, J., D. Kang, A. Thomas & A. Schmidt (2024): “Surface eddy kinetic energy variability of the Western North Atlantic Slope Sea 1993-2016”, Cont. Shelf Res., 275, doi: 10.1016/j.csr.2024.105200.
• Ross, A., C. Stock, A. Adcroft, E. Curchitser, R. Hallberg, M. Harrison, K. Hedstrom, N. Zadeh, M. Alexander, W. Chen, E. Drenkard, H. du Pontavice, R. Dussin, F. Gomez, J. John, D. Kang, D. Lavoie, L. Resplandy, A. Roobaert, V. Saba, S. Shin, S. Siedlecki, and J. Simkins (2023): “A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12 v1.0)”, Geosci. Model Dev., 16, doi: 10.5194/gmd-16-6943-2023.
• Hua, W., K. Bemis, D. Kang, S. Ozer, and D. Silver (2023): "A hybrid 3D eddy detection technique based on sea surface height and velocity field", in: Workshop on Visualisation in Environmental Sciences (EnvirVis), edited by S. Dutta, K. Feige, K. Rink, and D. Zeckzer, pp. 9-16, The Eurographics Association, doi: 10.2312/envirvis.20231101.
• Yan, X., D. Kang, E. Curchitser, X. Liu, C. Pang, and L. Zhang (2023): “Seasonal variability of eddy kinetic energy along the Kuroshio Current”, J. Phys. Oceanogr., 53, doi: 10.1175/JPO-D-22-0155.1.
• Yan, X., D. Kang, C. Pang, L. Zhang, and H. Liu (2022): “Energetics analyses of the eddy-Kuroshio interaction east of Taiwan”, J. Phys. Oceanogr., 52, doi: 10.1175/JPO-D-21-0198.1.
• Kang, D., E. Curchitser, and X. Yan (2020): “Energetics of eddy-mean flow interactions in western boundary currents: Gulf Stream and Kuroshio Current”, in: Sources and Sinks of Ocean Mesoscale Eddy Energy, CLIVAR Exchanges/US CLIVAR Variations, 18, doi: 10.5065/g8w0-fy32.
• Ozer, S., K. Bemis, W. Hua, A. Goktogan, M. Aydogan, K. Guo, D. Kang, L. Liu, and D. Silver (2020): “The use of 3D optical flow, feature-tracking and token-tracking petri nets to analyze and visualize multiple scales of ocean eddies”, IEEE Vis Conference, SciVis Contest Paper.
• Yan, X., D. Kang, E. Curchitser, and C. Pang (2019): “Energetics of eddy-mean flow interactions along the western boundary currents in the North Pacific”, J. Phys. Oceanogr., 49, doi: 10. 1175/JPO-D-18-0201.1.
• Chen, Z., E. Curchitser, R. Chant, and D. Kang (2018): “Seasonal variability of the cold pool over the Mid-Atlantic Bight continental shelf”, J. Geophys. Res. Oceans, 123, doi:10.1029/2018JC014148.
• Zhang, S., E. Curchitser, D. Kang, C. Stock, and R. Dussin (2018): “Impacts of mesoscale eddies on the vertical Nitrate flux in the Gulf Stream region”, J. Geophys. Res. Oceans, 123, doi: 10. 1002/2017JC013402.
• Liu, L., D. Silver, K. Bemis, D. Kang, and E. Curchitser (2017): “Illustrative visualization of meso- scale ocean eddies”, Computer Graphics Forum, 36, doi: 10.1111/cgf.13201.
• Kang, D. and E. Curchitser (2017): “On the evaluation of seasonal variability of the ocean kinetic energy”, J. Phys. Oceanogr., 47, doi: 10.1175/JPO-D-17-0063.1.
• Kang, D., E. Curchitser and A. Rosati (2016): “Seasonal variability of the Gulf Stream kinetic energy”, J. Phys. Oceanogr., 46, doi: 10.1175/JPO-D-15-0235.1.
• Kang, D. and E. Curchitser (2015): “Energetics of eddy-mean flow interactions in the Gulf Stream region”, J. Phys. Oceanogr., 45, doi: 10.1175/JPO-D-14- 0200.1.
• Kang, D. and E. Curchitser (2013): “Gulf Stream eddy characteristics in a high-resolution ocean model”, J. Geophys. Res. Oceans, 118, doi: 10.1002/ jgrc.20318.
• Kang, D. (2012): “Barotropic and baroclinic tidal energy”, in: Energy Conservation, edited by A. Z. Ahmed, pp. 57-72, InTech, doi: 10.5772/52293.
• Kang, D. and O. Fringer (2012): “Energetics of barotropic and baroclinic tides in the Monterey Bay area”, J. Phys. Oceanogr., 42, doi: 10.1175/JPO-D-11-039.1.
• Kang, D. and O. Fringer (2010): “On the calculation of available potential energy in internal wave fields”, J. Phys. Oceanogr., 40, doi: 10.1175/2010JPO4497.1.
• Kang, D. and O. Fringer (2006): “Efficient computation of the nonhydrostatic pressure”, Proc. 16th International Offshore & Polar Engr. Conf., 3: 414-419.
• Kang, D. and O. Fringer (2006): “Time accuracy of pressure methods for nonhydrostatic free-surface flows”, Proc. 9th International Conf. on Estuarine & Coastal Modeling, 419-433.
• Kang, D. and H. Wang (2005): “Analysis on the decadal scale variation of the dust storm in North China”, Science in China (D), 48(12): 2260-2266.
• Wang, H., X. Lang, G. Zhou, and D. Kang, 2003. “A preliminary report of the model prediction on the forthcoming winter and spring dust climate over China”, Chinese J. Atmos. Sci., 27(1): 136-140.
• Wang, L., D. Kang, and X. Li, 2002. “Multimode and its application in climate analysis”, Acta Scientiarum Naturalium Universitatis Pekinensis, 38(1): 83-89.

SJTU Graduate Course
• Machine Learning in Oceanography (Fall)
• Fundamentals of Ocean Circulation (Spring)

Rutgers Graduate Course
• Fundamentals of Geophysical Fluid Dynamics（2021，2023）
• Large Scale Atmosphere-Ocean Dynamics（2018）

Stanford Undergraduate Course
• Modeling and Simulation for Civil and Environmental Engineers（2008）