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MSEAS Celebrates October/November Birthdays and Chris’ 10-Year Work Anniversary

MSEAS members Tony, Yoland, Abhinav, and Pierre celebrated their birthdays in October and November, and Chris celebrated his 10-year work anniversary with MSEAS in October, and the group gathered outside the Student Center to celebrate!

Youran “Yoland” Gao

Yoland joined MSEAS in the summer of 2020 as an RSI scholar, completing a report and presentation on “3DSeaVizKit: Interactive 3D Visualization Toolkit for Oceanographic Data”. At MSEAS, Yoland developed a 3D (spatial) + 1 (temporal) visualization toolkit, the 3DSeaVizKit, that processes oceanographic simulations obtained by the MSEAS ocean model to create cohesive, portable, and interactive 3D visualizations of the ocean. Yoland is now attending MIT for his undergraduate studies.

Abhinav Gupta’s machine learning framework for dynamical system models highlighted in MIT MechE article

Abhinav Gupta’s machine learning framework was highlighted by the Mechanical Engineering department in the article “Computing for Ocean Environments“. MSEAS work on using dynamical system models to make predictions for the ocean environment was illustrated in the article, explaining the new machine learning framework that helps make up for the lack of resolution or accuracy in ocean models.

Ben Koenig receives ASNE Tidewater Section Admiral David Donohue Scholarship for 2021

Congratulations to Ben for receiving the ASNE Tidewater Section Admiral David Donohue Scholarship for 2021! This award is given by the American Society of Naval Engineers each year since 1979, and is given “in order to promote the profession of naval engineering and to encourage college students to enter the field. Since the inception of the Scholarship Program, ASNE has since awarded hundreds of scholarships to undergraduate and graduate students interested in pursuing an education and career in naval engineering.” Congratulations once again to Ben!

Abhinav’s Closure Model Figures Featured on Cover of Proceedings of the Royal Society

Several figures from Abhinav’s paper “Neural Closure Models for Dynamical Systems” have been featured on the cover of the August 2021 issue of the Proceedings of the Royal Society A. Congratulations to Abhinav!

The background is a spatio-temporal zooplankton field, simulated using a complex nonlinear 5-component 1-D physical-biogeochemical model. Seasonal variability is forced through the surface photosynthetically-available radiation and mixed layer depth, each of which vary in time. The 5-component model is one of the dynamical systems used to illustrate our novel neural closure modeling. Overlaid on the zooplankton field is the graphical representation of the time-discretized distributed neural delay differential equation (Distributed-nDDE). The blocks labeled DNN and the integral symbol represent any deep neural-network architecture and time-integration scheme.