Graduate Theses
Theses by Department
- Comparative Media Studies
- Computation for Design and Optimization
- Computational and Systems Biology
- Department of Aeronautics and Astronautics
- Department of Architecture
- Department of Biological Engineering
- Department of Biology
- Department of Brain and Cognitive Sciences
- Department of Chemical Engineering
- Department of Chemistry
- Department of Civil and Environmental Engineering
- Department of Earth, Atmospheric, and Planetary Sciences
- Department of Economics
- Department of Electrical Engineering and Computer Sciences
- Department of Humanities
- Department of Linguistics and Philosophy
- Department of Materials Science and Engineering
- Department of Mathematics
- Department of Mechanical Engineering
- Department of Nuclear Science and Engineering
- Department of Ocean Engineering
- Department of Physics
- Department of Political Science
- Department of Urban Studies and Planning
- Engineering Systems Division
- Harvard-MIT Program of Health Sciences and Technology
- Institute for Data, Systems, and Society
- Media Arts & Sciences
- Operations Research Center
- Program in Real Estate Development
- Program in Writing and Humanistic Studies
- Science Writing
- Sloan School of Management
- Supply Chain Management
- System Design & Management
- Technology and Policy Program
Recent Submissions
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Post-Quantum Verifiable Oblivious Pseudorandom Functions
(Massachusetts Institute of Technology, 2024-05)This work presents the construction of a post-quantum verifiable oblivious pseudorandom function (VOPRF) with a focus on efficiency and practicality. Leveraging lattice-based cryptographic primitives, particularly the ... -
Robot Planning in Uncertain, Dynamic Environments
(Massachusetts Institute of Technology, 2024-05)Many real-world applications require robots to operate in dynamic environments characterized by moving objects or agents whose trajectories are unpredictable. This thesis addresses the challenges posed by such environments ... -
ScaleGPS: Scalable Graph Parallel Sampling via Data-centric Performance Engineering
(Massachusetts Institute of Technology, 2024-05)Graph sampling extracts representative samples of a graph, so that approximate graph algorithms can be used in place of expensive, exact algorithms while still achieving highquality results. Thus, graph sampling plays an ...