| 2026 | AAAI | A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery. | Thomas Manzini, Priyankari Perali, Raisa Karnik, Robin R. Murphy |
| 2026 | AAAI | Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response. | Thomas Manzini, Priyankari Perali, Robin R. Murphy |
| 2025 | RO-MAN | Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters. | Thomas Manzini, Priyankari Perali, Raisa Karnik, Mihir Godbole, Hasnat Abdullah, Robin R. Murphy |
| 2025 | RO-MAN | 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. | Thomas Manzini, Priyankari Perali, Robin R. Murphy, David F. Merrick |
| 2024 | HRI | Three Challenges in Utilizing Machine Learning to Predict Human Behavior from Observational Data. | Thomas Manzini, Priyankari Perali, Robin R. Murphy |
| 2024 | ICRA | Differentiable Boustrophedon Paths That Enable Optimization Via Gradient Descent. | Thomas Manzini, Robin R. Murphy |
| 2023 | IROS | Wireless Network Demands of Data Products from Small Uncrewed Aerial Systems at Hurricane Ian. | Thomas Manzini, Robin R. Murphy, David F. Merrick, Justin Adams |
| 2019 | AAAI | Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities. | Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabs Pczos |
| 2019 | NAACL | Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. | Thomas Manzini, Yao Chong Lim, Alan W. Black, Yulia Tsvetkov |
| 2017 | SIGdial | How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing. | Abhilasha Ravichander, Thomas Manzini, Matthias Grabmair, Graham Neubig, Jonathan Francis, Eric Nyberg |