Martin Parisot | hydrogeology | Editorial Board Member

Published on by Environmental Scientists

Dr. Martin Parisot | hydrogeology | Editorial Board Member

Inria Center at Bordeaux University | France

Dr. Martin Parisot is a dedicated junior researcher at INRIA whose work integrates advanced mathematical modeling with computational techniques to address complex challenges in geophysical and environmental fluid dynamics. His research bridges kinetic theory, hydrodynamic limits, hyperbolic systems, and dispersive phenomena to develop unified models capable of describing multi-scale water-related processes with exceptional precision. He contributes significantly to the formulation and analysis of shallow-water, congested-flow, and wave-propagation models, emphasizing entropy principles, asymptotic preservation, and structure-preserving numerical schemes. His expertise includes innovative coupling strategies, weakly dispersive approximations, and adaptive numerical methods that enhance the reliability of simulations for free-surface flows, groundwater interactions, and large-scale oceanic dynamics. Parisot’s scientific output has earned substantial recognition, reflected in 434 citations, an h-index of 11, and an i10-index of 13, highlighting the broad impact of his contributions. His publications cover diverse themes such as hydrodynamic model derivation, interface coupling techniques, dispersive approximations of Euler equations, kinetic equations for swarm behavior, and numerical schemes applicable to low-Froude regimes. He has collaborated widely on interdisciplinary projects involving coastal risk assessment, storm surge modeling, renewable marine energy, sediment transport, and unified modeling of geophysical flows, offering analytical depth and computational advances that support environmental forecasting and engineering innovation. In addition to his research activities, he has guided emerging scholars and contributed to editorial and scientific committee roles, as well as the organization of conferences in applied mathematics. Through sustained contributions to modeling and numerical analysis, Parisot continues to advance the understanding and prediction of complex geophysical systems, reinforcing his role in the progression of environmental and computational fluid dynamics research.

Featured Publications

Fernandez-Nieto, E. D., Parisot, M., Penel, Y., & Sainte-Marie, J. (2018). A hierarchy of dispersive layer-averaged approximations of Euler equations for free surface flows. Communications in Mathematical Sciences, 16(5), 1169–1202.

Godlewski, E., Parisot, M., Sainte-Marie, J., & Wahl, F. (2018). Congested shallow water model: Roof modeling in free surface flow. ESAIM: Mathematical Modelling and Numerical Analysis, 52(5), 1679–1707.

Parisot, M., & Vila, J.-P. (2016). Centered-potential regularization for the advection upstream splitting method. SIAM Journal on Numerical Analysis, 54(5), 3083–3104.

Parisot, M. (2019). Entropy-satisfying scheme for a hierarchy of dispersive reduced models of free surface flow. International Journal for Numerical Methods in Fluids, 91(10), 509–531.

Lachowicz, M., Leszczyński, H., & Parisot, M. (2017). Blow-up and global existence for a kinetic equation of swarm formation. Mathematical Models and Methods in Applied Sciences, 27(06), 1153–1175.

 

Chi Mai Do | Irrigation | Best Researcher Award

Published on by Environmental Scientists

Dr. Chi Mai Do | Irrigation | Best Researcher Award

Researcher | Adelaide University | Australia

Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth.

Profile: Orcid

Featured Publications

Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365.

Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP).

Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia.

Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569.

Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21.

Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.