Room: 3-270 Speaker Name: Dr. Bryan R. Moser and Dr. Shinnosuke Wanaka Affiliation: Dr. Bryan R. Moser: Academic Director of System Design & Management (SDM) and Senior Lecturer in the School of Engineering and in the Sloan School of Management. Dr. Shinnosuke Wanaka: Visiting scholar at MIT and a researcher at the National Maritime Research…
Event Category: Ocean Engineering Seminar
Venture Capital & Maritime: How Do These Two Worlds Intersect?
Room: 5-314 Speaker Name: Marina Hadjipateras and Joshua Gold Affiliation: Co-Founder and General Partner at TMV Principal at TMV Abstract: In this session, we’ll explore how venture capital is accelerating innovation across the maritime sector-particularly at the early stages where technical founders are building solutions in naval architecture, ocean engineering, shipbuilding, dual-use maritime tech, and…
Swarm Locomotion in Time-Dependent Systems using Multi-Agent Reinforcement Learning
Room: 5-314 Speaker Name: Prof. Oren Gal Affiliation : Hatter Department of Marine Technologies, Leon H. Charney School of Marine Sciences, University of Haifa Abstract: In this talk, we harness advanced data science techniques, Multi-Agent Reinforcement Learning (MARL), and Computational Fluid Dynamics (CFD) to optimize micro-robotic swarm locomotion under time-dependent flow conditions. Traditional approaches often…
Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction
Room: 5-314 Speaker Name: Oommen, Vivek Affiliation: Brown University Abstract: Neural operators are promising surrogates for dynamical systems but when trained with standard L2 losses they tend to oversmooth fine-scale turbulent structures. Here, we show that combining operator learning with generative modeling overcomes this limitation. We consider three practical turbulent-flow challenges where conventional neural operators…
Vortex Detection Mechanisms of Harbor Seal Whiskers for Biomimetic Sensing
Room: 5-314 Speaker Name: Adrienne Lai Affiliation: PI: Michael Triantafyllou Abstract: Harbor seal whiskers have the characteristic ability to detect changes in flow velocity at the micrometer per second scale, allowing them to track prey with their whiskers as the primary sensor. This unique property has inspired researchers to design low-power, non-invasive, passive sensors to…
Applying Solar Cell Principles to Determine Ocean Wave Intensity in a Sea Ice Sheet in the Marginal Ice Zone
Room: 5-314 Speaker Name: Max Pierce Affiliation: PI: Dick Yue Abstract: Inspired by the well-known Yablonovitch limit which provides an upper bound on the light intensity enhancement in a solar cell, we derive a simple expression relating the ocean wave intensity in a floating ice sheet within the marginal ice zone (MIZ) to the wave…
Score-based generative emulation of impact-relevant earth system model outputs
Room: 5-314 Speaker Name: Shahine Bouabid Affiliation: PI: Raffaele Ferrari Abstract: Not yet available…
WaveOperatorNet: A Machine Learning Framework for Real-Time Phase-Resolved Ocean Wave Forecasting
Room: 5-314 Speaker Name: Haocheng Lu Affiliation: PI: Yuming Liu Abstract: TBA…
Generative AI for weather data assimilation by differentiating through flows
Room: 5-314 Speaker Name: Ruizhe Huang Affiliation: PI: Sherrie Wang Abstract: To anchor weather products in reality, data assimilation integrates physical simulations of the atmosphere with observational data. Traditional approaches achieve this under assumptions of Gaussian errors and linearized dynamics, which limit accuracy. Deep generative models offer a flexible alternative, yet existing guidance-based approaches are…
Using Generative AI for Probabilistic Inverse Modeling: Ocean Interior Inference from Surface Observations
Room: 5-314 Speaker Name: Andre Souza Affiliation: PI: Raffaele Ferrari Abstract: Understanding subsurface ocean dynamics is essential for quantifying oceanic heat and mass transport, but direct observations at depth remain sparse due to logistical and technological constraints. In contrast, satellite missions provide rich surface datasets-such as sea surface height, temperature, and salinity-that offer indirect but…