A5022227526- Meteorological Phenomena and Simulations
- Wind and Air Flow Studies
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
- Reservoir Engineering and Simulation Methods
- Computational Physics and Python Applications
- Probabilistic and Robust Engineering Design
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Computational Fluid Dynamics and Aerodynamics
- Tropical and Extratropical Cyclones Research
- Distributed and Parallel Computing Systems
- Climate variability and models
- Quantum Computing Algorithms and Architecture
- Quantum-Dot Cellular Automata
- Aerodynamics and Fluid Dynamics Research
- Wave and Wind Energy Systems
- Ocean Waves and Remote Sensing
- Scientific Computing and Data Management
- Cryptography and Data Security
- Cryospheric studies and observations
- Aerodynamics and Acoustics in Jet Flows
- Remote Sensing and LiDAR Applications
- Radio Astronomy Observations and Technology
- Tribology and Lubrication Engineering
Netherlands eScience Center
2023-2024
University of Colorado Colorado Springs
2021-2022
Delft University of Technology
2020-2022
University of Saskatchewan
2022
Institut national de recherche en informatique et en automatique
2019-2020
Institut de recherche mathématique de Rennes
2020
Inria Rennes - Bretagne Atlantique Research Centre
2019
Institut de Recherche en Informatique et Systèmes Aléatoires
2019
Vellore Institute of Technology University
2013
Currently, the design of floating offshore wind systems is primarily based on mid-fidelity models with empirical drag forces. The tuning model coefficients requires data from either experiments or high-fidelity simulations. As part OC6 (Offshore Code Comparison Collaboration, Continued, Correlation, and unCertainty (OC6) a project under International Energy Agency Wind Task 30 framework) project, present investigation explores latter option. A verification validation study computational...
Abstract An important open question in fluid dynamics concerns the effect of small scales structuring a flow. In oceanic or atmospheric flows, this is aptly captured wave–current interactions through study well-known Langmuir secondary circulation. Such are described by Craik–Leibovich system, which action wave-induced velocity, Stokes drift, produces so-called “vortex force” that causes streaking work, we show these results can be generalized as generic spatial inhomogeneity statistical...
Public Key Infrastructure (PKI) generates and distributes digital certificates to provide the root of trust for securing networking systems. To continue in quantum era, PKI should transition use quantum-resistant cryptographic algorithms. The cryptography community is developing primitives/algorithms, studying, analyzing them cryptanalysis improvements. National Institute Standards Technology (NIST) selected finalist algorithms post-quantum signature cipher standardization, which are...
Abstract With the advancement of high-performance computation capabilities in recent years, high-fidelity modelling tools such as computational fluid dynamics are becoming increasingly popular offshore renewable sector. To justify credibility numerical simulations, thorough verification and validation is essential. In this work, preparatory heave decay tests for a freely floating single cylinder modelled. Subsequently, surge sway decays linearly moored wind turbine model OC4 (Offshore Code...
Modern satellite missions continuously generate extensive observation datasets for Interferometry Synthetic Aperture Radar (InSAR), which is a crucial technology monitoring ground surface deformation. The efficient processing and analysis of these InSAR poses two computational challenges: 1) the growing volume that needs to be incorporated into data workflow, 2) integration contextual information associated with reveal mechanisms driving...
Despite the increased availability of UAV / drone imagery in Low- to upper  Middle-Income countries and demonstrated potential deep learning support interpretation these images for sustainable development purposes, practical operations are constrained by need sufficient labeled data-sets which often difficult obtain (especially tropical forest). This makes it train suitable networks assess whether model is performing well. One such example use drones monitor Atlantic Forest Sao...
In the ubiquitous dynamic landscape of social changes and technological advancements, utilization innovative solutions for disaster early warning systems (and other forms warning) has become paramount. This study explores incorporation Digital Twins (DT), digital replicas physical entities, into warning. Drawing from insights obtained through a comprehensive literature review perspectives gleaned workshop, we investigate technical challenges needs research communities engaged in developing...
The Pangeo software stack includes powerful tools that have the potential to revolutionize way in which research on big (geo)data is conducted. A few of aspects make them very attractive researchers are ease use Jupyter web-based interface, level integration with Dask distributed computing library, and possibility seamlessly move from local deployments large-scale infrastructures.  community project Pythia playing a key role providing training resources examples showcase what...
Deep Learning methods are notorious for relying on extensive labeled datasets to train and assess their performance. This can cause difficulties in practical situations where models should be trained new applications which very little data is available. While few-shot learning algorithms address the first problem, they still lack sufficient explanations results. research presents a workflow that tackles both challenges by proposing an explainable detecting invasive exotic tree species...
Forces that govern the motion of planetary flows originate from interactions occurring at scales are orders magnitude smaller than flow itself. These mesoscale and sub–mesoscale eddies contribute to large-scale mixing, particle entrainment, tracer transport. Therefore, oceanic simulations must accurately characterize their contributions capture dynamics. In this work, a stochastic representation primitive equations, derived within framework modeling under location uncertainty (LU), is...
<div class="section abstract"><div class="htmlview paragraph">The demand for quieter vehicles is increasing with not only the advent of stringent Noise, Vibration and Harshness (NVH) norms but also because customer expectations. In motorcycles, tactile point vibration - handle bar, rider footrest, passenger pillion a metric that characterizes vibrational behavior. As engine most predominant source noise, it crucial to understand dynamics transfer forces from structure supporting...
The eastern coast of peninsular India routinely receives the onslaught devastating cyclonic storms. We suggest a novel method involving Envisat retrievals followed by application European Space Agency's (ESA's) Earth Observation Link Stand-Alone (EOLI–SA) catalogue for calculation cloud cover (CC) tropical In particular, we focus on northeast monsoon, which is less studied as compared with more regularly investigated southwest monsoon. found that CC was order 946,598 km2 23 November 2011....
The remit of mechanical engineering extends well beyond machines. Mechanical theories have diverse applications the transport and distribution particulate matter into a turbulent boundary layer involves systematic application fluid mechanics. In this paper, we used models accompanied by experimental observations to study how eddies distribute cook stove emissions over slums in megacity Chennai - Detroit India. It is home 8 million people manufacturing hub with propensity release variety...