Fahim Hasan Khan

Assistant Professor, Computer Science and Software Engineering

California Polytechnic State University, San Luis Obispo

I am an Assistant Professor in the Computer Science and Software Engineering Department at California Polytechnic State University, San Luis Obispo (Cal Poly). You can learn more about me here and through my CV, LinkedIn.

I am always looking for motivated undergraduate and graduate students to work with me.

Recent Activities (Research/Projects)

Journal Paper (April 2025):

Fahim Khan, Akila de Silva, Ashleigh Palinkas, Gregory Dusek, James Davis, Alex Pang. "RipFinder: Real-time Rip Current Detection on Mobile Devices." Frontiers in Marine Science 12. [Link]

Journal Paper (February 2025):

Fahim Khan, Donald Stewart, Akila de Silva, Ashleigh Palinkas, Gregory Dusek, James Davis, Alex Pang. RipScout: Realtime ML-Assisted Rip Current Detection and Automated Data Collection using UAVs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. [Link]

Conference Paper (October 2024):

Fahim Khan, Emily Lovell, Akila de Silva, Gregory Dusek, James Davis, Alex Pang. WIP: Citizen Science Tools With Machine Learning as a Pathway to Engage High School Students in Research. 2024 IEEE Frontiers in Education Conference (FIE), IEEE, October 13-16, 2024, Washington DC. [Link]

Journal Paper (May 2024):

Fahim Hasan Khan, Akila de Silva, Gregory Dusek, James Davis, and Alex Pang. "Smartcs: Enabling the creation of machine learning–powered computer vision mobile apps for citizen science applications without coding." Citizen Science: Theory and Practice 9, no. 1 (2024). [Link]

Media coverages (November 2023):

The Mercury News : https://www.mercurynews.com/2023/11/27/uc-santa-cruz-researchers-build-ai-to-prevent-drownings/

Santa Cruz Sentinel: https://www.santacruzsentinel.com/2023/11/26/uc-santa-cruz-researchers-build-ai-to-prevent-drownings/

KSBW Action News 8: https://www.ksbw.com/article/ai-used-by-california-researchers-to-prevent-drownings/45981343

Presentation (May 2022):

Machine Learning Supported Mobile Apps for Citizen Science Fahim Hasan Khan, Donald Stewart, James Davis, Alex Pang. 18th Annual Graduate Research Symposium 2022, UC Santa Cruz and Annual Postdoc Symposium 2022, UC Santa Cruz. Award: Best of the Baskin School of Engineering

Conference Paper (June 2022):

How much does input data type impact final face model accuracy? Jiahao Luo, Fahim Hasan Khan, Issei Mori, Akila de Silva, Eric Sandoval Ruezga, Alex Pang, James Davis. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022

Conference Paper (2021):

Authoring Platform for Mobile Citizen Science Apps with Client-side ML FH Khan, A de Silva, G Dusek, J Davis, A Pang. 2021 Conference on Computer Supported Cooperative Work and Social Computing (CSCW)

Conference Paper (2021):

Face Models: How Good Does My Data Need To Be? J Luo, F Khan, I Mori, A de Silva, E Ruezga, J Davis. 2021 IEEE International Conference on Image Processing (ICIP)

Conference Paper (2021):

Sequential Image Synthesis for Human Activity Video Generation. FH Khan, A Silva, J Yetukuri, N Norouzi. International Conference on Image Analysis and Recognition (ICIAR 2019), 129-133. Lecture Notes in Computer Science (LNCS), vol 11663. Springer, Cham. Award: Best Poster Presentation

Conference Presentation:

Comparative Visualizations of Noisy and Filtered Blood Flow from 4D PC-MRI Cardiac Datasets. FH Khan, A Rocha, U Alim. 2017 IEEE Visualization Conference (VIS)

Video: https://vimeo.com/230837806

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