This page is no longer maintained.
Please visit my new website: https://ewanowara.github.io/. Thanks!
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I am a Ph.D. student in the Rice Computational Imaging Group working with Ashok Veeraraghavan. My work encompasses computational imaging, computer vision, signal processing, machine learning, optimization, and optics. My research goal is to build systems for robust camera-based vital signs monitoring for real-life applications.
I interned at Los Alamos National Lab (T-5) with Brendt Wohlberg in 2020, Microsoft Research AI with Daniel McDuff in 2019, and Mitsubishi Electric Research Lab with Tim Marks and Hassan Mansour in 2018 and 2017. I am a recipient of the Ken Kennedy Institute for Information Technology Schlumberger Graduate Fellowship and the Texas Instruments Fellowship. Before coming to Rice, I graduated from St. Mary’s University in San Antonio, TX with a B.S. in Physics (summa cum laude) in 2015.
Email: emn3 [at] rice [dot] edu Office: Duncan Hall 2018 Scholar LinkedIn CV
RESEARCH PROJECTS
Benefit of Distraction: Denoising Vitals using Inverse Attention
Impact of Skin Type and Gender on Non-contact Photoplethysmography Measurements
3D Face Tracking for Motion-Robust Vital Signs
Overcoming Video Compression for Camera-Based Vital Signs
[ICCV Workshop, 2019] [Biomedical Optics Express, 2020] [poster] [video]
Imaging Photoplethysmography in NIR for Driver Monitoring
[CVPR Workshop, 2018] [Trans. on Intelligent Transportation Systems, 2020]
[poster] [video] [MR-NIRP video dataset (indoor and driving)]
PPGSecure: Face Anti-spoofing with Camera-Based Vital Signs
[Face and Gesture, 2017] [poster]
Eye Tracking for Measuring Engagement
Assessment of Screen Usage in the Home