Doctoral Theses
Theses by Department
- 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
- Science, Technology & Society
- Sloan School of Management
- Technology and Policy Program
Recent Submissions
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Synthesis and Applications of Large-Area Monolayer Graphene
(Massachusetts Institute of Technology, 2025-09)Graphene, renowned for its exceptional electrical, mechanical, and chemical properties, is a promising candidate for next-generation electronics, photonics, and biosensing. However, realizing its full potential depends ... -
Mapping signaling networks and rapidly evolving genes in the developing Arabidopsis seed at single-nucleus resolution
(Massachusetts Institute of Technology, 2025-09)Seeds are an exceptional evolutionary innovation that enables the conditional allocation of maternal resources to successfully fertilized ovules. During early development, seeds accumulate nutrients that are utilized either ... -
Optimization in Deep Learning: Structured, Realistic and Interpretable Learning for Decision-Making
(Massachusetts Institute of Technology, 2025-09)In recent years, deep learning has emerged as a powerful tool for data-driven decisionmaking. However, its adoption in high-stakes applications is often constrained by challenges related to interpretability, fairness, and ...
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