See How Your Research Aligns
Create a free account to analyze your research alignment,
identify potential research gaps, and generate personalized
application documents for this professor.
Create Free Account
Christopher Metzler
Computational Imaging
Machine Learning Algorithms
Wireless Communications Systems
Stanford Computational Imaging Lab Methodologies
IRB 4236
About
Chris is an Assistant Professor in the Department of Computer Science at UMD. His research develops new systems and algorithms for solving problems in computational imaging, machine learning, and wireless communications. Before joining UMD, he completed a postdoc in the Stanford Computational Imaging Lab. He received his B.S., M.S., and Ph.D. degrees in electrical and computer engineering from Rice University in 2013, 2014, and 2019, respectively. Chris has received several awards and fellowships including a AFOSR Young Investigator Program award, an Intelligence Community Postdoctoral Fellowship, an NSF Graduate Research Fellowship, a DoD NDSEG Fellowship, and a NASA Texas Space Grant Consortium Fellowship. rnrn
Research Performance Summary
2010-2025
Active Research Span
First Recorded Paper
Procedure
Year:
2010
Citations:
0
Venue:
Rice University
Latest Recorded Paper
Acoustic Neural 3D Reconstruction Under Pose Drift
Year:
2025
Citations:
0
Venue:
arXiv preprint arXiv:2503.08930
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Metzler
Feng
Research Impact by Period
Papers
18
Citations
22
Avg. Citations / Paper
1.2
H-Index
3
Papers
64
Citations
1976
Avg. Citations / Paper
30.9
H-Index
16
Papers
16
Citations
1914
Avg. Citations / Paper
119.6
H-Index
9
Papers
3
Citations
1
Avg. Citations / Paper
0.3
H-Index
1
Contact and Professional Links
Detected Research Keywords
Neural Wavefront Shaping
Approximate Message Passing
Line Sight Imaging
Wavefront Shaping Guidestar
Shaping Guidestar Free
Guidestar Free Imaging
Implicit Neural Representations
Denoising Approximate Message
Presence Speckle Noise
Dynamic Range Imaging