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Engineering Research at Dartmouth

Dartmouth engineering researchers work within an integrated community of experts in their fields, unencumbered by departmental divisions. Our faculty and students are versatile thinkers who can define a problem, place it within the broad social and economic contexts, and articulate a clear vision for a human-centered approach toward a solution.

Most research projects are collaborations that integrate one or more engineering disciplines with other sciences. Students working in these labs learn important lessons about the interconnectedness of the world and develop both depth and breadth that make them innovators and leaders in emerging technologies.

Research by Program Area

Biological/Chemical

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Biomedical

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Electrical/Computer

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Energy

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Materials Science

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Mechanical/Operations/Systems

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Research by Activity

Culture of Collaboration

Dartmouth Engineering is a close-knit community of scholars with a broad range of expertise. The culture of collaboration extends across the hall, across campus, and beyond. Many research projects engage colleagues from other institutions such as Dartmouth-Hitchcock, Geisel School of Medicine, Tuck School of Business, Guarini School of Graduate and Advanced Studies, and CRREL, as well as industry—and offer numerous research opportunities for undergraduates.

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Research Quick Takes

May 22, 2025

Cyber Defense x2

Professor Peter Chin's Learning, Intelligence + Singal Processing (LISP) lab had two papers accepted at the Reinforcement Learning Conference (RLC): "Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense" and "Quantitative Resilience Modeling for Autonomous Cyber Defense." Said Chin, "Both papers are part of the outcome of the four-year DARPA research project called CASTLE: Cyber Agents for Security Testing and Learning Environments that LISP lab has been working on to develop game-theoretic reinforcement learning agents that can outsmart potential cyber adversaries in an enterprise-level network."

May 22, 2025

Most Read of All Time

Professor Vikrant Vaze is a co-author of “Operational Research: methods and applications” which recently became the most read article of all time in the Journal of the Operational Research Society—the oldest journal in the field of operations research. "This is arguably the first prominent article to provide a comprehensive overview of the state-of-the-art in operations research [OR], from both a methodological and from an applications standpoint. It is meant to serve as the first point of reference for OR academics, researchers, students and practitioners alike," said Vaze.

May 01, 2025

Understanding AI Behavior

PhD students Clement Nyanhongo '17 Th'18 and Bruno Miranda Henrique, and Professor Gene Santos co-authored "Reward Distance Comparisons Under Transition Sparsity" published in Transactions on Machine Learning Research. "Traditional reward comparison methods rely on behavioral simulations, which can be costly and pose safety risks. Our method is specifically designed to operate in more realistic and practical settings, recognizing real-world constraints, and outperforms existing approaches across a range of domains," says Santos.

Apr 24, 2025

Tissue Engineering on Display

The Hixon Lab had a strong showing at the Society for Biomaterials 50th Annual Meeting & Exposition in Chicago earlier this month. PhD student Amritha Anup Th'23, MS-MD student Jewelia Durant, Jack Flaggert '26, Daniel Kang '25, Kristine Suritis '25, and Kate Wasacz '25all presented posters showcasing their work, and Emma Kerimo '25 was invited to deliver an oral presentation.

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