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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

Jan 08, 2026

Cryosphere Science Lecture

Professor Hélène Seroussi was selected to give the John F. Nye Lecture at the Cryosphere section reception of the AGU Fall Meeting. The award recognizes recent accomplishments and outstanding ability to communicate scientific research. "My talk was about 'Preparing for Sea-Level Rise: Are ice sheet models up to the challenge?' which discussed current capabilities and challenges of ice sheet models to help improve predictions of sea-level rise," said Seroussi.

Jan 08, 2026

Better Airline Crew Recovery Plans

Professor Vikrant Vaze co-authored "Large-Scale Airline Crew Recovery Using Mixed-Integer Optimization and Supervised Machine Learning" published in Transportation Science. Based on work by Vaze's co-advisee at MIT, Ahmet Esat Hizir (pictured), this research won the "Best Innovation" award at AGIFORS' 2024 Crew Management Study Group Meeting. "By teaching a computer to learn from past disruption recovery attempts and then guiding a powerful optimizer with those lessons, we have built a fast, flexible tool that helps airlines get their crews back on schedule more efficiently, cut costs dramatically, and reduce the ripple effects on passengers," said Vaze.

Dec 18, 2025

LISP Lab at NeurIPS

Three members of Professor Peter Chin's LISP Lab—PhD students Mai Pham and Junyan Cheng, and post-doc Xavier Cadet—presented at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) which drew a record-breaking 26,000 attendees. Their presentations addressed optimal auction design, multi-agent cooperation, and language models for autonomous scientific discovery.

Dec 11, 2025

Guide for Generating Spatial Data

PhD student Ruixu (Rachel) Huang is a co-lead author of "Systematic benchmarking of imaging spatial transcriptomics platforms in FFPE tissues" published in Nature Communications. A collaboration between the Goods Lab and the Broad Institute of MIT and Harvard, the study is the first to compare commercial platforms for generating spatial data.

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