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Priyankari Perali
Observed name:
Perali, Priyankari
Institutions:
Parsons (United States),
DEVCOM Army Research Laboratory,
United States Army Combat Capabilities Development Command,
University of Maryland, College Park,
Texas A&M University
Observed institutions:
Parsons (United States),
DEVCOM Army Research Laboratory,
United States Army Combat Capabilities Development Command,
University of Maryland, College Park,
Texas A&M University
ORCID:
0009-0000-2735-1415
Observed ORCID:
0009-0000-2735-1415
OpenAlex ID:
A5093479841
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery
2024
·
Manzini, Thomas
, Perali, Priyankari
, et al.
·
arXiv (Cornell University)
·
18
PDF
Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters
2025
·
Thomas Manzini
, Priyankari Perali
, et al.
·
IEEE RO-MAN
·
5
PDF
A Visibility-Based Escort Problem
2023
·
Lance G. Fletcher
, Priyankari Perali
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
5
Challenges and Research Directions from the Operational Use of a Machine Learning Damage Assessment System via Small Uncrewed Aerial Systems at Hurricanes Debby and Helene
2025
·
Thomas Manzini
, Priyankari Perali
, et al.
·
IEEE RO-MAN
·
4
PDF
Now you see it, Now you don’t: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery
2025
·
Thomas Manzini
, Priyankari Perali
, et al.
·
ACM Conference on Fairness, Accountability, and Transparency (FAccT)
·
4
PDF
Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
2026
·
Thomas Manzini
, Priyankari Perali
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
3
PDF
Three Challenges in Utilizing Machine Learning to Predict Human Behavior from Observational Data
2024
·
Thomas Manzini
, Priyankari Perali
, et al.
·
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
·
2
PDF
Investigating a real-time adaptive procedure system
2026
·
Atif Mohammed Ashraf
, Priyankari Perali
, et al.
·
Human-Intelligent Systems Integration
·
1
Key Findings for Small UAS for Post-Disaster Damage Assessment from the CURSE'26 Exercise
2026
·
Manzini, Thomas
, Johnson, Stephen
, et al.
·
arXiv (Cornell University)
PDF
Looks Can be Deceiving: Annotator and Reviewer Performance Across Imagery Scales In Aerial Damage Assessment
2026
·
Thomas Manzini
, Priyankari Perali
, et al.
·
ACM Conference on Human-AI Complementarity and Alignment
Deep learning-based encoders for automatic modulation classification
2026
·
Billy E. Geerhart
, Priyankari Perali
, et al.
·
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
Vision-language models at the tactical edge: evaluation and challenges for defense-relevant captioning for situation awareness
2026
·
Priyankari Perali
, Billy Geerhart
, et al.
·
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery
2026
·
Thomas Manzini
, Priyankari Perali
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
Unprompted Touch with Touch Surface Characteristics: A Survey
2025
·
Priyankari Perali
, Robin R. Murphy
·
ACM Transactions on Human-Robot Interaction
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Works count:
15
Citation count:
42
H-index:
4
I10-index:
1
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