Akila de Silva

About Me

I am an assistant professor in computer science at San Francisco State University.

I was a recent PhD graduate from UC Santa Cruz, where I was advised by Professor Alex Pang and co-advised by Professor James Davis.

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current email : desilva@sfsu.edu

previously used emails : akila.desilva@ucsc.edu | akila.desilva@columbia.edu


Selected Publications

Expanding partnerships, products and use-cases for an operational coastal web camera observation network

Ocean Sciences Meeting, 2024

Gregory Dusek, Debra Hernandez, Joseph Long, Dwayne Porter, Alex Pang, Jeremy Cothran, Louisa Schandera, Lauren Showalter, Josh Rhoades, Chris Sager, Margaret L. Palmsten, Akila de Silva, Fahim Khan and Theo Jass

RipViz: Finding Rip Currents by Learning Pathline Behavior.

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023: Published Paper, Supp. Materials 

Acceptance rate : ~18-24%

Akila de Silva, Mona Zhao, Donald Stewart, Fahim Hasan Khan, Gregory Dusek, James Davis, Alex Pang

How much does input data type impact final face model accuracy?

IEEE Computer Vision and Pattern Recognition (CVPR), 2022: Published Article  

Acceptance rate : 25.33%

Jiahao Luo, Fahim Khan, Issei Mori, Akila de Silva, Eric Sandoval Ruezga, Minghao Liu, Alex Pang,  James Davis

Flow-based Rip Current Detection and Visualization.

IEEE Access, 2022: Published Article 

Acceptance rate : 30%

Issei Mori, Akila de Silva,  Gregory Dusek, James Davis, Alex Pang

Rip Current Detection from Region Based Convolutional Neural Networks.

Coastal Engineering, 2021: Video, Preprint, Published Journal Article, Data, BibTeX   

Acceptance rate : 27%

Akila de Silva, Issei Mori, Gregory Dusek, James Davis, Alex Pang

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

CSCW Poster, 2021 : Poster, Published Paper 

Acceptance rate : ~ 60-70%

Fahim Hasan Khan, Akila de Silva, Gregory Dusek, James Davis, Alex Pang

Face Models: How Good Does My Data Need To Be?.

IEEE International Conference on Image Processing (ICIP), 2021: Published Paper 

Acceptance rate : 46%

Jiahao Luo, Fahim Hasan Khan, Issei Mori, Akila de Silva, Eric Sandoval Ruezga, James Davis

From Lifeguards to AI: Advancing Rip Current Forecasting Through New Detection Methods.

Ocean Sciences Meeting, 2020: Poster link, Poster

Gregory Dusek, Michael Churma, Jung-Sun Im, Alex Pang, Akila de Silva, Issei Mori

Sequential Image Synthesis for Human Activity Video Generation.

International Conference on Image Analysis and Recognition, 2019:  Published Paper

Acceptance rate : 59%  

Fahim Hasan Khan*, Akila de Silva*, Jayanth Yetukuri*, Narges Norouzi*

* equal contribution


Manuscripts in preperation/review

Learning flow patterns from pathlines


IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023

Visualizing Uncertainty for ML based Flow vis.


IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023


Service

Reviewer for Eurographics Conference on Visualization (EuroVis), 2024

Program Committee VDS symposium at IEEE Visualization Conference (VIS), 2023

Associate Chair for the ACM CSCW posters cycle, 2023

Reviewer for VizSec at IEEE Visualization Conference (VIS), 2023

Reviewer for IEEE Visualization Conference (VIS), 2023

Reviewer for IEEE Computer Graphics and Applications (CG&A), 2023

Reviewer for IEEE Computer Vision and Pattern Recognition (CVPR), 2023

Reviewer for The China Visualization and Visual Analytics Conference (ChinaVis), 2023

Reviewer for Remote Sensing, 2022