20 citations · 28 across the 6 of their papers we have counts for
6 papers
STEM Faculty Perspectives on Generative AI in Higher Education
Akila de Silva, Isabel Hyo Jung Song, Hui Yang +1
Generative artificial intelligence (GenAI) tools are increasingly present in higher education, yet their adoption has been largely student-driven, requiring instructors to respond…
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…
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…
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…
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…
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…