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A. Lynn Abbott
Multisensor Fusion For Explosives Detection
High-Performance Computer Architectures
X-Ray Image Processing
Computer Vision
Pattern Recognition
About
A. Lynn Abbott is associate professor in the Bradley Department of Electrical and Computer Engineering. Abbott's teaching interests are computer vision; pattern recognition; artificial intelligence; and digital design computer architecture. His research interests include computer vision; image processing; high-performance computer architectures; and multisensor fusion for explosives detection in x-ray images.
Research Performance Summary
1990-2025
Active Research Span
First Recorded Paper
Active surface reconstruction by integrating focus, vergence, stereo, and camera calibration
Year:
1990
Citations:
60
Venue:
Proceedings Third International Conference on Computer Vision, 489,490,491
Latest Recorded Paper
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Year:
2025
Citations:
0
Venue:
arXiv preprint arXiv:2506.12932
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
Abbott
Sarkar
Schmoldt
Research Impact by Period
Papers
6
Citations
2
Avg. Citations / Paper
0.3
H-Index
1
Papers
33
Citations
395
Avg. Citations / Paper
12
H-Index
12
Papers
28
Citations
230
Avg. Citations / Paper
8.2
H-Index
10
Papers
27
Citations
262
Avg. Citations / Paper
9.7
H-Index
9
Papers
14
Citations
206
Avg. Citations / Paper
14.7
H-Index
7
Papers
24
Citations
192
Avg. Citations / Paper
8
H-Index
9
Papers
26
Citations
261
Avg. Citations / Paper
10
H-Index
8
Papers
12
Citations
173
Avg. Citations / Paper
14.4
H-Index
5
Contact and Professional Links
Detected Research Keywords
Facial Emotion Expression
Ct Images Hardwood
Images Hardwood Logs
Group Differences Facial
Differences Facial Emotion
Emotion Expression Autism
Expression Autism Evidence
Autism Evidence Utility
Evidence Utility Machine
Utility Machine Classification