| 2026 | CHI | Inferring Affect and Intervention Opportunities for Cancer Survivors from Digital Diaries with Context-Aware LLMs. | Zhiyuan Wang, Katharine E. Daniel, Laura E. Barnes, Philip Chow |
| 2025 | BSN | WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data. | Md. Sabbir Ahmed, Noah French, Mark Rucker, Zhiyuan Wang, Taylor Myers-Brower, Kaitlyn Petz, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes |
| 2025 | SmartComp | Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators. | Maria A. Larrazabal, Zhiyuan Wang, Mark Rucker, Emma R. Toner, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes |
| 2024 | ACII | AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech. | Varun Reddy, Zhiyuan Wang, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes |
| 2024 | CHI | Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models. | Zhiyuan Wang, Varun Reddy, Karen Ingersoll, Tabor Flickinger, Laura E. Barnes |
| 2024 | MOBICOM | A Resource Efficient System for On-Smartwatch Audio Processing. | Md. Sabbir Ahmed, Arafat Rahman, Zhiyuan Wang, Mark Rucker, Laura E. Barnes |
| 2023 | FUSION | Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models. | Ezequiel Juarez Garcia, Victoria R. Rodrigues, Mehrdad Fazli, Laura E. Barnes, Nicholas J. Napoli |
| 2023 | BSN | Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. | Zhiyuan Wang, Mark Rucker, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes |
| 2023 | SENSYS | Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. | Beatrice Li, Arash Tavakoli, Alan Wang, Navreet Kaur, Laura E. Barnes, Afsaneh Doryab, Arsalan Heydarian |
| 2022 | ISWC | Shape Analysis for Pediatric Upper Body Motor Function Assessment. | Shashwat Kumar, Robert Gutierez, Debajyoti Datta, Sarah Tolman, Allison McCrady, Silvia Blemker, Rebecca J. Scharf, Mehdi Boukhechba, Laura E. Barnes |
| 2021 | CHASE | Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19. | Guimin Dong, Lihua Cai, Shashwat Kumar, Debajyoti Datta, Laura E. Barnes, Mehdi Boukhechba |
| 2021 | ICCV | MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. | Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura E. Barnes |
| 2021 | ICMLA | Semi-supervised Graph Instance Transformer for Mental Health Inference. | Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba |
| 2020 | RecSys | Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. | Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes |
| 2019 | WoWMoM | Adaptive Passive Mobile Sensing Using Reinforcement Learning. | Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E. Barnes, Matthew S. Gerber |
| 2018 | CHI | Identification of Imminent Suicide Risk Among Young Adults using Text Messages. | Alicia L. Nobles, Jeffrey J. Glenn, Kamran Kowsari, Bethany A. Teachman, Laura E. Barnes |
| 2018 | ICMLA | Analysis of Railway Accidents' Narratives Using Deep Learning. | Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown |
| 2018 | ICWSM | "Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit. | Alicia L. Nobles, Caitlin N. Dreisbach, Jessica Keim-Malpass, Laura E. Barnes |
| 2017 | AMIA | Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission. | Julia Lensing, Ketki Vilankar, Hyojung Kang, Donald E. Brown, Amy Mathers, Laura E. Barnes |
| 2017 | CHASE | HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records. | Jinghe Zhang, Jiaqi Gong, Laura E. Barnes |
| 2017 | ICMLA | HDLTex: Hierarchical Deep Learning for Text Classification. | Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes |
| 2017 | Mobisys | Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. | Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes |
| 2016 | ACSSC | Graph-based classification of healthcare provider activity. | Nasrin Sadeghzadehyazdi, Tamal Batabyal, Laura E. Barnes, Scott T. Acton |
| 2016 | AMIA | Automated Evaluation and Training for Interprofessional Education using Virtual Patients and Providers. | Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes |
| 2016 | FlAIRS | A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals. | Nicholas J. Napoli, Laura E. Barnes |
| 2016 | IVA | A Deep Learning Methodology for Semantic Utterance Classification in Virtual Human Dialogue Systems. | Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes |
| 2015 | AMIA | Opportunities for Social Media within Consumer Health Informatics. | Rupa Valdez, Sahiti Myneni, Andrea L. Hartzler, Lena Mamykina, Nathan K. Cobb, Laura E. Barnes |
| 2015 | AMIA | Predicting Future Anxiety and Depression Diagnoses among College Students Utilizing Electronic Health Data. | Jinghe Zhang, Hao Wu, James Turner, Adrienne Keller, Laura E. Barnes |
| 2015 | FUSION | Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner. | Nicholas J. Napoli, Laura E. Barnes, Kamal Premaratne |
| 2014 | AMIA | User Preferences Influencing the Design of a Tailored Virtual Patient Educator in a Latina Farm Worker Community. | Bijan Morshedi, Alexis V. Chaet, Cameron Brown, Gloria Arroyo, Sara K. Proctor, Rupa Valdez, Kristen J. Wells, Laura E. Barnes |
| 2009 | IROS | Effective robot team control methodologies for battlefield applications. | Mary-Anne Fields, Ellen C. Haas, Susan Hill, Chris Stachowiak, Laura E. Barnes |
| 2008 | IROS | Swarm formation control utilizing ground and aerial unmanned systems. | Laura E. Barnes, Richard Garcia, Mary-Anne Fields, Kimon P. Valavanis |