Scholar
Pierre Lermusiaux
Google Scholar ID: CX02g7gAAAAJ
Professor of Mechanical Engineering and Ocean Science and Engineering, MIT
Citations & Impact
Citations
4,392
H-index
37
i10-index
130
Publications
20
Co-authors
180
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Extensive publication record across interdisciplinary domains, including:
- Uncertainty Quantification and Reduced-Order Modeling
- Data Assimilation and Scientific Machine Learning (Deep Learning, Bayesian Learning, Adaptive Modeling)
- Science of Autonomy (Optimal Path Planning, Adaptive Sampling)
- Applications to Ocean Dynamics (Physical Oceanography, Biogeochemical-Physical Interactions, Acoustical-Physical Interactions)
- Multiscale Ocean Modeling, Computational Acoustics, Lagrangian Modeling
Research Experience
- Professor in the Department of Mechanical Engineering at Massachusetts Institute of Technology (MIT), leading the Multidisciplinary Simulation, Estimation, and Assimilation Systems (MSEAS) group.
- Principal investigator of numerous cutting-edge research initiatives, including:
- Affordable Gigaton-scale Carbon Sequestration
- Compression and Assimilation for Resource-Limited Operations
- K2D: Knowledge and Data from the Deep to Space
- Intelligent Observing and Multiscale Modeling for Ocean Exploration and Sustainable Utilization
- Machine Learning for Submesoscale Characterization, Ocean Prediction, and Exploration (ML-SCOPE)
- Dynamic Environmental Estimation, Prediction, and Acoustic Inference (DEEP-AI)
- Modeling the potential effects of deep-sea mining on midwater ecosystems
- Autonomous Tow Vessels for Offshore Macroalgae Farming
- Plastic Pollution in the Oceans: Characterization and Modeling
- Deep Sea Mining: Modeling, Observing and Quantifying Risks
- Understanding and Predicting the Gulf of Mexico Loop Current
- Coherent Lagrangian Pathways from the Surface Ocean to Interior (CALYPSO)
