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Nicholas Ruozzi
Combinatorial Optimization
Large-Scale Graphical Models
Approximate Counting
Belief Propagation Algorithms
Message-Passing Algorithms
About
I am currently an associate professor of computer science in the Erik Jonsson School of Engineering & Computer Science at the University of Texas at Dallas and a member of the Center for Machine Learning at UT Dallas.
I am broadly interested in combinatorial optimization, large-scale graphical models, approximate counting and inference, and belief propagation style (e.g., min-sum, sum-product, etc.) message-passing algorithms.
Research Performance Summary
2008-2026
Active Research Span
First Recorded Paper
st paths using the min-sum algorithm
Year:
2008
Citations:
6
Venue:
2008 46th Annual Allerton Conference on Communication, Control, and
Latest Recorded Paper
Learnability-Driven Submodular Optimization for Active Roadside 3D Detection
Year:
2026
Citations:
0
Venue:
arXiv preprint arXiv:2601.01695
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
Ruozzi
Gogate
Research Impact by Period
Papers
4
Citations
8
Avg. Citations / Paper
2
H-Index
1
Papers
25
Citations
290
Avg. Citations / Paper
11.6
H-Index
10
Papers
18
Citations
151
Avg. Citations / Paper
8.4
H-Index
8
Papers
9
Citations
204
Avg. Citations / Paper
22.7
H-Index
5
Papers
3
Citations
50
Avg. Citations / Paper
16.7
H-Index
3
Contact and Professional Links
Detected Research Keywords
Markov Random Fields
Message Passing Algorithms
Explainable Activity Recognition
Activity Recognition Videos
Bethe Partition Function
User Tracking Data
Unseen Object Instance
Object Instance Segmentation
Identifying Virtual Reality
Virtual Reality Users