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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
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Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Headings are cool
You can have many headings
Aren’t headings cool?
portfolio
Portfolio item number 1
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publications
A Visibility-Based Escort Problem
Priyankari Perali*, Lance G. Fletcher*, Andrew Beathard, and Jason M. O'Kane. A Visibility-Based Escort Problem. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 4804–4811. IEEE, 2023. (*equal contribution)
Three Challenges in Utilizing Machine Learning to Predict Human Behavior from Observational Data
Thomas Manzini, Priyankari Perali, and Robin R. Murphy. Three Challenges in Utilizing Machine Learning to Predict Human Behavior from Observational Data. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), pages 737–739, 2024.
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery
Thomas Manzini, Priyankari Perali, Raisa Karnik, and Robin Murphy. CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery. arXiv:2407.17673, 2024.
Now You See It, Now You Don’t: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery
Thomas Manzini, Priyankari Perali, Jayesh Tripathi, and Robin Murphy. Now You See It, Now You Don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery. In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT), pages 1998–2008, 2025.
Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters
Priyankari Perali*, Thomas Manzini*, Raisa Karnik, Mihir Godbole, Hasnat Abdullah, and Robin Murphy. Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters. In 2025 IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 2025. (*equal contribution)
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
Priyankari Perali*, Thomas Manzini*, Robin Murphy, and David Merrick. 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. In 2025 IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 2025. (*equal contribution)
Unprompted Touch with Touch Surface Characteristics: A Survey
Priyankari Perali and Robin Murphy. Unprompted Touch with Touch Surface Characteristics: A Survey. ACM Transactions on Human-Robot Interaction, 15(1):1–30, 2025.
Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
Thomas Manzini, Priyankari Perali, and Robin Murphy. Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response. In The Thirty-Eighth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI), 2026.
A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery
Priyankari Perali*, Thomas Manzini*, Raisa Karnik, and Robin Murphy. A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery. In Proceedings of the AAAI Conference on Artificial Intelligence, 2026. (*equal contribution)
Investigating a Real-Time Adaptive Procedure System
Atif Mohammed Ashraf, Priyankari Perali, Hyun-Gee Jei, Joseph W. Hendricks, Thomas Manzini, Vanessa Nasr, S. Camille Peres, Farzan Sasangohar, Maryam Zahabi, and Robin Murphy. Investigating a Real-Time Adaptive Procedure System. Human-Intelligent Systems Integration, 2026.
Looks Can Be Deceiving: Annotator and Reviewer Performance Across Imagery Sources in Crowd-Sourced Aerial Damage Assessment
Thomas Manzini, Priyankari Perali, Raisa Karnik, Stephen Johnson, and Robin Murphy. Looks Can Be Deceiving: Annotator and Reviewer Performance Across Imagery Sources in Crowd-Sourced Aerial Damage Assessment. In Proceedings of the 2026 AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2026. (To appear)
talks
CRASAR Dataset Demo
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Eyeing the Damage of Hurricane Season
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Using AI to Assess Hurricane Damage
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Heading 1
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Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.