papers

Publications (6)

cs.CY2022

Authoring Platform for Mobile Citizen Science Apps with Client-side ML

Fahim Hasan Khan, Akila de Silva, Gregory Dusek +2

Data collection is an integral part of any citizen science project. Given the wide variety of projects, some level of expertise or, alternatively, some guidance for novice particip…

cs.CL2025

OceanAI: A Conversational Platform for Accurate, Transparent, Near-Real-Time Oceanographic Insights

Bowen Chen, Jayesh Gajbhar, Gregory Dusek +6

Artificial intelligence is transforming the sciences, yet general conversational AI systems often generate unverified "hallucinations" undermining scientific rigor. We present Ocea…

physics.flu-dyn2024

VortexViz: Finding Vortex Boundaries by Learning from Particle Trajectories

Akila de Silva, Nicholas Tee, Omkar Ghanekar +4

Vortices are studied in various scientific disciplines, offering insights into fluid flow behavior. Visualizing the boundary of vortices is crucial for understanding flow phenomena…

cs.CY2024

SmartCS: Enabling the Creation of ML-Powered Computer Vision Mobile Apps for Citizen Science Applications without Coding

Fahim Hasan Khan, Akila de Silva, Gregory Dusek +2

It is undeniable that citizen science contributes to the advancement of various fields of study. There are now software tools that facilitate the development of citizen science app…

cs.GR2023

RipViz: Finding Rip Currents by Learning Pathline Behavior

Akila de Silva, Mona Zhao, Donald Stewart +4

We present a hybrid machine learning and flow analysis feature detection method, RipViz, to extract rip currents from stationary videos. Rip currents are dangerous strong currents…

cs.CV2021

Automated Rip Current Detection with Region based Convolutional Neural Networks

Akila de Silva, Issei Mori, Gregory Dusek +2

This paper presents a machine learning approach for the automatic identification of rip currents with breaking waves. Rip currents are dangerous fast moving currents of water that…