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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

Jun 19, 2025

More Accurate Ice Sheet Models

Professor Hélène Seroussi is senior author of "Increased sea-level contribution from northwestern Greenland for models that reproduce observations" published in PNAS. The study uses observational data and time-dependent physics to inform an ice flow model of northwestern Greenland glaciers. The model better matches historical observations and shows that future sea-level rise contribution from this region may be significantly larger than projected over the coming century. The paper also suggests a path forward for making the method scalable to the entire Greenland Ice Sheet.

Jun 12, 2025

Research Prize: Metamaterials

PhD student Xiangbei Liu received third prize in the 2025 Neukom Outstanding Graduate Research Awards. Her research with Yan Li’s Group uses machine learning to efficiently design metamaterials with zero Poisson's ratio that maintain their shape in the transverse direction when stretched or compressed, making them ideal for soft robotics and biomedical devices.

Jun 05, 2025

Improving Healthcare Access

Professor Vikrant Vaze is a co-author of "A novel outreach approach for identification of familial hypercholesterolemia: Interview-based formative evaluation to improve healthcare access and quality" published in PEC Innovation. "This was a collaborative effort with folks from DH and Geisel, as well as Family Heart Foundation. The study is aimed at designing and evaluating direct outreach and referral to specialty care for patients with an elevated risk of FH identified through a machine learning model and expert review of the electronic record in a rural US health system. It's an excellent human-centered design thinking exercise and it yielded a great deal of success," said Vaze.

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."

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