Fahim Hasan Khan
PhD Candidate, Computer Science and Engineering, UC Santa Cruz
Hi, welcome to my homepage. I am a PhD Candidate in the CSE Department at UCSC advised by Professor Alex Pang and Proferssor James Davis.
More about me is here and in my CV, LinkedIn
Recent Projects/Publications/Presentations
Media coverages in 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
Paper (Work in Progress):
Realtime ML-Assisted Data Collection using Drones
Fahim Hasan Khan, Donald Stewart, Akila de Silva, James Davis, Alex Pang
Presentation:
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
Award: Best of the Baskin School of Engineering
Annual Postdoc Symposium 2022, UC Santa Cruz
Paper:
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
Pilot Study Project (Ongoing/beta):
RipSnap: A citizen science mobile app for real-time rip current detection and data collection
Paper:
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)
Paper:
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)
Paper:
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
Poster:
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