I have worked on computer science research projects in various areas, including distributed systems, multi-agent systems, mechanism design / game theory, grid and cloud computing, sensor networks, information theory, and more. My full list of peer-reviewed publications can be found on Google Scholar:
SELECTED PUBLICATIONS
Co-Creating with AI in Higher Education: A Human-AI Collaborative Storybook Project
- Conference: ACM Collective Intelligence (CI) 2025
- URL: https://ci.acm.org/2025/wp-content/uploads/86-Eagle.pdf
- About: we quantified the collaboration process, via different visualizations, between humans and AI, via a graduate studio class where 10 student teams co-created visual storybooks with AI.
- Collaborators: Brown University School of Engineering, RISD
Mirage: a Microeconomic Resource Allocation System for Sensornet Testbeds
- URL: https://dash.harvard.edu/handle/1/4031552
- About: a shared 148-node sensor network that runs a 24/7 auction to match bids to resource requests from various research labs in the US.
- Collaborators: Intel Berkeley, UCSD, Harvard.
- Topics: mechanism design, multi-agent systems, sensor networks, virtual currency.
Strategyproof Computing: Systems Infrastructures for Self-Interested Parties
- URL: https://dash.harvard.edu/handle/1/4101256
- About: how do we build distributed systems that are shared across various parties? We provide design guidelines on building systems consider self-interest and negotiations.
- Collaborators: Harvard.
- Topics: multi-agent systems, mechanism design, distributed systems.
EGG: an Extensible and Economics-Inspired Open Grid Computing Platform
- URL: https://dash.harvard.edu/handle/1/4000302
- About: we built a fully functional CLI (command-line interface) system that allows ATLAS physicists to request and run compute resources in a shell (e.g., like modern day containers).
- Collaborators: BU, Harvard, ATLAS @ CERN.
- Topics: grid / cloud computing, multi-agent systems, mechanism design, virtual currency.
Concatenated Codes for Deletion Channels
- URL: https://dash.harvard.edu/handle/1/24019792
- About: for some channels (that passes bits 1/0) that lose some of the bits (e.g., 8%), we came up with encode/decode mathematical algorithms to try to detect and recover the info.
- Collaborators: Harvard.
- Topics: information theory, probability theory.