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The Massachusetts Green High Performance Computing Center (MGHPCC) has awarded $600,000 in seed grants to seven multi-university teams on issues ranging from the ecosystem off the New England coast to medical imaging to the speed of computing itself [...]
Prof. Lermusiaux was invited to give a talk on “Ocean Modeling and Data Assimilation for the Maritime Industry” at the Gloucester (MA) New Maritime Port Economy Summit on November 15, 2011. More information [...]
Prof. Pierre Lermusiaux is a Guest Editor for a special issue of Ocean Dynamics on “Multi-scale modeling of coastal, shelf and global ocean dynamics”. This issue includes [...]
Members of the MSEAS group gathered prior to the departure of Konur Yigit. Photos are available [...]
MSEA group celebrated the completion of the theses of Thomas Sondergaard and Konur Yigit [...]
Prof. Pierre Lermusiaux has given and been invited to give lectures at the following workshops and schools during 2013 [ ... ]
Prof. Lermusiaux was invited to give a talk on “Ocean Modeling and Data Assimilation for the Maritime Industry” at the Gloucester (MA) New Maritime Port Economy Summit on November 15, 2011. More information [...]
Prof. Lermusiaux attended the Gordon Research Conference on Coastal Ocean Modeling [...]
Prof. Lermusiaux list of recent invited lectures [...]
“Science of Autonomy” results obtained by our MSEAS group and recent collaborators are summarized. We present a subset of our results on time-optimal path planning for swarms of ocean vehicles and review some of our research in adaptive sampling. The path planning and adaptive sampling schemes and approaches presented were illustrated by their applications in [...]
We develop a computationally efficient, partial differential equation based methodology that predicts the time-optimal paths of autonomous vehicles navigating in continuous, strong and dynamic flow-fields, obviating the need for heuristics. The goal is to predict a sequence of steering directions so that vehicles can best utilize or avoid flow currents to minimize their travel time. [...]
We provide a new framework for the study of fluid flows presenting complex uncertain behavior. Our approach is based on the stochastic reduction and analysis of the governing equations using the dynamically orthogonal field equations. By numerically solving these equations we evolve in a fully coupled way the mean flow and the statistical and spatial [...]
Congratulations to Konuralp Yigit and Thomas Sondergaard on their recent graduations [...]
Prof. Pierre Lermusiaux was an invited lecturer at the International Workshop on “Probabilistic Approaches to Data Assimilation for Earth Systems” which took place in Banff, Canada from 17-22 February, 2013 [...]
Prof. Pierre Lermusiaux is an invited international external adviser to the European project Stochastic Assimilation for the Next Generation Ocean Model Applications (SANGOMA), which will be providing new developments in data assimilation for future operational forecasting and monitoring systems. He is giving a talk on Bayesian Data Assimilation and Learning of Stochastic Dynamical Models: State, [...]
Prof. Pierre Lermusiaux is an invited Panelist and Lecturer at the “Working with Uncertainty Workshop: Representation, Quantification, Propagation, Visualization, and Communication of Uncertainty”, as part of IEEE VisWeek 2011 [...]
Prof. Pierre Lermusiaux was one of the co-organizers of a workshop on Ocean Integration in Earth System Prediction Capability Data Assimilation. This took place 27-29 September 2011 at the University of Maryland [...]
MSEAS members to attend IMUM2011 – the 10th International Workshop on Multiscale (Un-)structured Mesh Numerical Modelling [...]
Prof. Lermusiaux represented MIT at NSF workshop [...]
Prof. Lermusiaux co-chairs MREA workshop at NURC [...]
MSEAS Group hosts IMUM2010 [...]
MSEAS group head Prof. Pierre Lermusiaux was featured on the front page of the MIT web site on Wednesday June 12, 2012. The article describes Prof. Lermusiaux as one “who has devoted his research, in part, to eliminating unlikely scenarios in ocean dynamics” [...]
The development of a mathematical procedure by the MSEAS group to coordinate the movements of AUVs in the extremely dynamic coastal environment in which the Pioneer Array will be situated is detailed in a news item on the new MIT oceans.mit.edu web site. The news article describes the coordination between the MSEAS group and the [...]
The headline reads “Sometimes the quickest path is not a straight line” and the sub-heading is “New methods and software developed at MIT can predict optimal paths for automated underwater vehicles”. This was the front page of the MIT web site 8 March 2012. [...]
MSEAS UROP student, MIT senior Jacob Wamala, appeared on the front page of the MIT web site on Wednesday March 7, 2012. Jacob was described in this fashion: “Senior puts engineering skills, desire to serve toward improving the lives of disadvantaged and marginalized populations”. [...]
Predicting ocean motions and underwater sounds, has been showcased on the MIT home page Spotlight on 1 December, 2010 [...]
IMUM2010 workshop announced [...]
Research off Kauai highlighted [...]
Prof. Lermusiaux wins Doherty Professorship [...]
QPE research highlighted in MIT MechE news [...]
Crimson Grid aids MSEAS research [...]
Monterey Bay 2006 AUVs featured in Science Daily [...]
Tapovan Lolla has received the Wunsch Foundation Silent Hoist and Crane Award for Academic Excellence. The honor was presented [...]
Mattheus Ueckermann has been awarded a competitive National Sciences and Engineering Research Council of Canada PostGraduate Scholarship [...]
Prof. Lermusiaux receives teaching award [...]
If you are interested by our group and its research, check with us from time to time as opportunities often arise. Contact us if you are interested [...]