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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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Dartmouth Engineering Research News

Sep 29, 2026

Dartmouth Engineering and Eversource selected for US DOE Award to Expand Grid Capacity

Sep 23, 2026

Dartmouth Startup Wins Phase II SBIR Grant to Develop Next-Generation Surgical Navigation Systems

From left, Professor of Engineering Peter Chin, Professor of International Economics Emily Blanchard, and Professor of Government Dean Lacy

Sep 16, 2026 | Dartmouth News

Dartmouth Receives DARPA Award to Develop Geoeconomics

Sep 09, 2026 | Irving Institute

Dartmouth Students Tackle Energy Transition Questions

Research Quick Takes

Oct 15, 2026

Better Modeling of Sea-Level Rise

Professor Hélène Seroussi is a co-author of "Sea-level contribution from Thwaites Glacier doubles in an observation-constrained ice-sheet model" published in Nature Communications. "Until now, models have treated the grounding zone, where a glacier detaches from the underlying bedrock and begins to float, as a discrete line, because observations in such regions were scarce. Adding seawater intrusions and melting in this zone to simulations of Thwaites Glacier in West Antarctica allows the model to better reproduce three decades of observed retreat, and roughly doubles its projected contribution to sea-level rise by 2100," said Seroussi.

Professor Geoff Parker at the podium in Manchester, NH.

Oct 15, 2026

Kicking Off a Grant to Expand Electric Grid Capacity

Professor Geoffrey Parker joined Eversource and US Department of Energy (DOE) Assistant Secretary Katie Jereza in Manchester, NH to officially mark the selection of Thayer and Eversource for a DOE award of $47M to expand electric grid capacity. "Junbo [Zhao] has worked with Eversource for years, and that relationship is the foundation this project is built on," Parker said. "That is exactly the role we want to play: helping our faculty turn deep expertise and long-standing partnerships into large-scale work with real impact."

Professor Vaze presenting at the AI EDGE Symposium.

Oct 08, 2026

Humans, AI & Optimization

Professor Vikrant Vaze was invited to speak at the GE Vernova AI EDGE Symposium in New York. His talk, titled "Multi-Objective Stochastic Optimization of Hybrid Renewable Energy Systems in Fragile States," was based on his work done with PhD students Lilly Yang and Siqi Ke and MS student Ryan Proulx '25 as co-authors. "The biggest takeaways from the symposium were about the future of work itself, about the industry-wide opportunities and challenges associated with the rapidly evolving business practices to accommodate AI-human teams—learning what to delegate to AI and what must be human-controlled," said Vaze.

Sep 24, 2026

Optimizing Complex Delivery Systems

PhD candidate Yineng "Phoebe" Sun Th'17 Th'26 is first author, with Lecturer Armin Fügenschuh and Professor Vikrant Vaze as co-authors, of "Physics-aware truck and drone delivery planning using optimization & machine learning" published in Computers & Operations Research. The presented framework has been shown to reduce delivery time and energy use compared with simplified planning approaches. "This work matters because it brings realistic physical modeling into operations research, showing how optimization and data-driven methods can work together to make complex delivery systems both more efficient and more practical," said Sun.

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