39 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Florida Atlantic UniversityUS11 papers
- ETH ZurichCH2 papers
- Georgia Institute of TechnologyUS2 papers
- University of FloridaUS2 papers
- University of ThessalyGR2 papers
- Collegium HelveticumCH1 paper
- Rice UniversityUS1 paper
- Sandia National LaboratoriesUS1 paper
- Schlumberger (United Kingdom)GB1 paper
- University of British ColumbiaCA1 paper
13 papers
The influence of body anisotropy on wake characteristics and enstrophy production for prolate ellipsoids at
Sartaj Tanweer, Mukesh Sharma, Aditya R. Nayak +3
The flow around prolate ellipsoids is investigated using Large Eddy Simulation (LES) at a Reynolds number of . Five different aspect ratios are consider…
Optimized time-lapse acquisition design via spectral gap ratio minimization
Yijun Zhang, Ziyi Yin, Oscar Lopez +4
Modern-day reservoir management and monitoring of geological carbon storage increasingly call for costly time-lapse seismic data collection. In this letter, we show how techniques…
Embracing Off-the-Grid Samples
Oscar López, Özgür Yılmaz
Many empirical studies suggest that samples of continuous-time signals taken at locations randomly deviated from an equispaced grid (i.e., off-the-grid) can benefit signal acquisit…
Porous cylinder arrays for optimal wake and drag characteristics
Aishwarya Nair, Amirkhosro Kazemi, Oscar Curet +1
The root systems of mangroves, a tree species found in intertidal tropical and sub-tropical coastal zones, provide a natural barrier that dissipates wave energy effectively and red…
Spectral Gap-Based Seismic Survey Design
Oscar López, Rajiv Kumar, Nick Moldoveanu +1
Seismic imaging in challenging sedimentary basins and reservoirs requires acquiring, processing, and imaging very large volumes of data (tens of terabytes). To reduce the cost of a…
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
Oscar López, Daniel M. Dunlavy, Richard B. Lehoucq
We propose a novel statistical inference methodology for multiway count data that is corrupted by false zeros that are indistinguishable from true zero counts. Our approach consist…
Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting of Loop Current
Yu Huang, Yufei Tang, Hanqi Zhuang +2
According to the National Academies, a weekly forecast of velocity, vertical structure, and duration of the Loop Current (LC) and its eddies is critical for understanding the ocean…
Uncovering dynamically critical regions in near-wall turbulence using 3D Convolutional Neural Networks
Eric Jagodinski, Xingquan Zhu, Siddhartha Verma
Near-wall regions in wall-bounded turbulent flows experience intermittent ejection of slow-moving fluid packets away from the wall and sweeps of faster moving fluid towards the wal…
Restoring Chaos Using Deep Reinforcement Learning
Sumit Vashishtha, Siddhartha Verma
A catastrophic bifurcation in non-linear dynamical systems, called crisis, often leads to their convergence to an undesirable non-chaotic state after some initial chaotic transient…
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
Chi Ding, Zheng Cao, Matthew S. Emigh +6
To fully understand interactions between marine hydrokinetic (MHK) equipment and marine animals, a fast and effective monitoring system is required to capture relevant information…
Optimal sensing for fish school identification
Pascal Weber, Georgios Arampatzis, Guido Novati +3
Fish schooling implies an awareness of the swimmers for their companions. In flow mediated environments, in addition to visual cues, pressure and shear sensors on the fish body are…
Optimal sensor placement for artificial swimmers
Siddhartha Verma, Costas Papadimitriou, Nora Luethen +2
Natural swimmers rely for their survival on sensors that gather information from the environment and guide their actions. The spatial organization of these sensors, such as the vis…
Marine Animal Classification with Correntropy Loss Based Multi-view Learning
Zheng Cao, Shujian Yu, Bing Ouyang +4
To analyze marine animals behavior, seasonal distribution and abundance, digital imagery can be acquired by visual or Lidar camera. Depending on the quantity and properties of acqu…