Zachary Alan Daniels

Advanced Computer Scientist, Center for Vision Technologies, SRI International

  • Joined February 2019

Names

Zachary Alan Daniels
,
Zachary Daniels

Emails

****@cs.rutgers.edu (Confirmed)
,
****@sri.com (Confirmed)
,
****@gmail.com (Confirmed)

Career & Education History

Advanced Computer Scientist
Center for Vision Technologies, SRI International (sri.com)
2020Present
 
PhD
Computer Science, Rutgers University (rutgers.edu)
20142020
 
Graduate Student
Computer Science, Rutgers University (rutgers.edu)
20142020
 
Research Internship
Sensors Directorate, Air Force Research Lab (af.mil)
20182019
 
Research Internship
Wright State University (wright.edu)
20182019
 
Undergrad student
Computer Science, Lehigh University (lehigh.edu)
20102014
 
Undergraduate Research Internship
Center for Research in Computer Vision, University of Central Florida (ucf.edu)
20132013
 
Undergraduate Research Internship
Auburn University (auburn.edu)
20122012
 

Advisors, Relations & Conflicts

Coworker
2024Present
 
Coauthor
2022Present
 
Coauthor
2022Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
Coworker
2020Present
 
PhD Advisor
2014Present
 

Expertise

explainable artificial intelligence, interpretable models, uncertainty estimation
Present
 
scene understanding, scene classification
Present
 
imbalanced learning, multi-label classification
Present
 
decision trees, decision forests
Present
 
document image analysis, biomedical imaging, aerial image analysis, robot vision, applications
Present
 
visual attributes, knowledge graphs, scene graphs
Present
 
multimedia forensics
Present
 
active perception
Present
 
DDDAS
Present
 
lifelong reinforcement learning, continual learning, lifelong learning
Present
 
computer vision edge computing, machine learning edge computing, efficient computer vision, efficient machine learning, hardware-aware computer vision, hardware-aware machine learning, tinyML
Present
 

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