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Jordan Malof
Assistant Professor, Electrical Engineering and Computer Science, University of Missouri
Joined
February 2020
Names
Jordan Malof
(Preferred)
,
Jordan Milton Malof
,
Jordan M. Malof
Emails
****@gmail.com
(Confirmed)
,
****@duke.edu
(Confirmed)
,
****@missouri.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Assistant Professor
Electrical Engineering and Computer Science,
University of Missouri
(missouri.edu)
2024
–
Present
Assistant Professor
Computer Science,
University of Montana
(umonana.edu)
2022
–
2024
Assistant Research Professor
Electrical and Computer Engineering,
Duke University
(duke.edu)
2016
–
2022
Advisors, Relations & Conflicts
PhD Advisor
Leslie Collins
Present
Expertise
semantic segmentation
Present
remote sensing
Present
inverse problems
Present
computer vision
Present
Publications
Deep inverse modeling the near field response of optical metasurfaces
Saad Lahrichi
,
Ethan J Mick
,
Marshall B Lindsay
,
Scott D Kovaleski
,
Derek T Anderson
,
Jordan Malof
,
Stanton R Price
,
Steven R. Price
Advanced Optics for Imaging Applications: UV through LWIR X 13466, 40-49
Readers:
Everyone
Improved wildfire spread prediction with time-series data and the WSTS+ benchmark
Saad Lahrichi
,
Jake Bova
,
Jesse Johnson
,
Jordan Malof
2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Readers:
Everyone
Is self-supervised pre-training on satellite imagery better than imagenet? a systematic study with sentinel-2
Saad Lahrichi
,
Zion Sheng
,
Shufan Xia
,
Kyle Bradbury
,
Jordan Malof
OpenReview Archive Direct Upload
Readers:
Everyone
Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications
Zachary D. Calhoun
,
Saad Lahrichi
,
Simiao Ren
,
Jordan Malof
,
Kyle Bradbury
MDPI Remote Sensing
Readers:
Everyone
Segment anything, from space?
Simiao Ren
,
Francesco Luzi
,
Saad Lahrichi
,
Kaleb Kassaw
,
Leslie Collins
,
Kyle Bradbury
,
Jordan Malof
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Readers:
Everyone
Improving and Evaluating Open Deep Research Agents
Doaa Allabadi
,
Kyle Bradbury
,
Jordan Malof
Submitted to ICLR 2026
Readers:
Everyone
Compute-efficient Evaluation of LLM Voting Accuracy
I. Taylor McKechnie
,
Paul J. Markakis
,
Kaleb Kassaw
,
Francesco Luzi
,
Sohini Saha
,
Boyla Mainsah
,
Leslie Collins
,
Jordan Malof
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Training A Single Multi-Class Convolutional Segmentation Network using Multiple Datasets with Heterogeneous Labels: Preliminary Results
Fanjie Kong
,
Cheng Chen
,
Bohao Huang
,
Leslie M. Collins
,
Kyle Bradbury
,
Jordan Malof
Accepted by 2019 IEEE International Geoscience and Remote Sensing Symposium
Readers:
Everyone
Does Deep Active Learning Work in the Wild?
Simiao Ren
,
Saad Lahrichi
,
Yang Deng
,
Willie Padilla
,
Leslie M. Collins
,
Jordan Malof
ICLR 2025 Conference Withdrawn Submission
Readers:
Everyone
Deep Generalized Green's Function
Rixi Peng
,
Juncheng Dong
,
Jordan Malof
,
Willie Padilla
,
Vahid Tarokh
ICLR 2024 Conference Desk Rejected Submission
Readers:
Everyone
View all 23 publications
Co-Authors
Aneesh Gupta
Artem Streltsov
Ashwin Mahendra
Bohao Huang
Boyla Mainsah
Cheng Chen
Derek T Anderson
Doaa Allabadi
Ethan J Mick
Fanjie Kong
Francesco Luzi
Handi Yu
I. Taylor McKechnie
Jake Bova
Jesse Johnson
Jichen Yang
Juncheng Dong
Kaleb Kassaw
Kyle Bradbury
Leslie Collins
Leslie M. Collins
Marshall B Lindsay
Mohammadreza Soltani
Omar Khatib
Paul J. Markakis
View all 41 co-authors