Hannah is an undergraduate student at the University of Virginia studying Computer Science (B.S.) and Mathematics with a minor in French. She is interested in reinforcement learning, Human-AI collaboration, and anything based on elegant math. She hopes to pursue a Ph.D. one day and is very enthusiastic about research.
Fun fact: When not studying or working, Hannah can typically be found attending or planning events at Brown Residential College where she lives and serves as Secretary.
Projects
Past Projects
Publications
News
2026
After years of hard work and strong publications, Professor Afsaneh Doryab is now officially an associate professor of computer science with tenure. Many congratulations!
At his PhD graduation, Matthew Landers received the School of Engineering and Applied Science’s outstanding PhD award. Congratulations!
The Early-Stage Research Award honors Link Lab graduate students who have demonstrated excellence in research and scholarship during the early and mid-stages of their graduate studies. This year, PhD student Maria Cardei was one of two awardees. Congratulations!
Our paper “BraVE: Offline reinforcement learning for discrete combinatorial action spaces” by Matthew Landers, Taylor Killian, Tom Hartvigsen, and Afsaneh Doryab has been published in Advances in Neural Information Processing Systems.
Undergraduate student Sofia Luis was one of five Systems Engineering students honored at the Excellence in Engineering Gala this March.
The paper “Evaluating the Physics and Repeatability of Human Brushers in Delivering Affective Touch” by Zachary T. Landsman, Matthew Clark, Seongkook Heo, Afsaneh Doryab, and Greg Gerling was accepted to IEEE Transactions on Haptics.
2025
Our paper “Biobehavioral Rhythms in Everyday Life: Data and Models for Capturing Cyclic Behavior in Naturalistic Settings” by Chong Zhao, Maria Ana Cardei, Matthew Clark, Runze Yan, and Afsaneh Doryab was accepted to the Association for Computing Machinery’s journal Proceedings on Interactive, Mobile, Wearable, and Ubiquitous Technologies. Congratulations!
Our paper “Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging” by Maria Cardei and Afsaneh Doryab has been published in IEEE Transactions on Automation Science and Engineering.
Our paper “Towards an accessible, noninvasive micronutrient status assessment method: a comprehensive review of existing techniques” by Andrew Balch, Maria Cardei, Sibylle Kranz, and Afsaneh Doryab has been published in ACM Transactions on computing for Healthcare.
Our paper “Exploring Smartphone-based Spectrophotometry for Vitamin B12 Quantification” by Andrew Balch, Maria Cardei, and Afsaneh Doryab has been published in Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
Our paper “Parameter Transfer for Single-Task Reinforcement Learning” by Matthew Landers and Afsaneh Doryab has been accepted by the 2025 International Joint Conference on Neural Networks (IJCNN).
Congratulations to PhD Student Maria Cardei for being selected by the National Science Foundation’s Graduate Research Fellowship Program! This prestigious and competitive fellowship funds exceptional graduate students for three years of research.
Our paper “Enabling Meaningful Communication Through Personalization” by Matt Clark and Afsaneh Doryab has been accepted for the conference 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
2024
Our paper “Feasibility of Smartphones for Accessible, Noninvasive Micronutrient Assessment” by Andrew Balch and Afsaneh Doryab has been published in the Proceedings of the 30th Annual International Conference on Mobile Computing and Networking.
Our paper “Towards Smartphone-Based Monitoring of Micronutrient Status” by Andrew Balch and Afsaneh Doryab has been accepted to Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.
Our paper “Creating Emotion-Evoking Music to Communicate Wellness for Users with Diverse Musical Backgrounds” by Jason Chin, Matt Clark, and Afsaneh Doryab has been published in the ACM International Joint Conference on Pervasive and Ubiquitous Computing.
Our paper “Practical heuristics for victim tagging during a mass casualty incident emergency medical response” by Maria Cardei and Afsaneh Doryab has been published in the 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE).
Our paper “Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams” by Maria Cardei and Afsaneh Doryab has been accepted by the 15th International Conference on Cyber-Physical Systems (ICCPS). Congratulations!
2023
Our paper “Deep reinforcement learning verification: A survey” by Matthew Landers and Afsaneh Doryab has been published in ACM Computing Surveys.