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News
Sep 29, 2026
Dartmouth Engineering and Eversource selected for US DOE Award to Expand Grid Capacity
Professor Junbo Zhao and his team are part of the initiative that will help increase transmission capacity, improve reliability, and reduce customer costs by maximizing existing infrastructure.News
Sep 24, 2026
Dartmouth Engineering Undergraduate Named Finalist in NIHF Collegiate Inventors Competition
In the News
Power Systems Technology
Sep 30, 2026
Eversource, Dartmouth Selected for $47.7M Grid Project
Professor Junbo Zhao and Eversource are highlighted for a proposed $47.7 million Department of Energy-backed project to deploy dynamic line rating technology across roughly 4,000 miles of transmission infrastructure in New England.
Fortune
Sep 25, 2026
I Helped Invent the Smartphone Camera. It Could Have Died in the Lab
Professor Eric Fossum argues that proposed changes to the Bayh-Dole Act of 1980—which grants institutions patent rights to inventions arising from federally funded research—jeopardize the framework that allowed him to bring his camera-on-a-chip technology from the lab to the marketplace, where it is the core technology behind cellphone cameras.
Scienmag
Sep 20, 2026
Heat-Loving Bacterium Reveals Genetic Secrets for Turning Plant Waste Into Fuel
A study co-led by Thayer postdoc Kristina Stephens is highlighted for mapping how a heat-loving bacterium breaks down plant material, identifying genetic structures that could help engineers design microbes that convert agricultural waste into biofuels more efficiently.
Digital Photography Review
Sep 14, 2026
CMOS Inventor Eric Fossum Helps Us Explain LOFIC
Professor Eric Fossum explains LOFIC, or Lateral OverFlow Integration Capacitor, a new sensor design that allows pixels to capture more light. Fossum, who is highlighted as the inventor of the CMOS 'camera-on-a-chip' sensor that is the core tech behind cellphone cameras, likens capturing light to collecting rainwater in a series of buckets.
Research Quick Takes
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.
Sep 24, 2026
Revealing Structure in Complex Data
Industry PhD student Sie Hendrata Dharmawan presented four papers from Professor Peter Chin's LISP Lab at the 35th International Conference on Artificial Neural Networks in Padua, Italy. "I am grateful to Professor Chin, the LISP Lab, and my collaborators for making this possible, and to Muhammad Farrukh and colleagues for trusting me to present their work on topological anomaly detection. What ties these papers together is a question I care about deeply: how do we capture the structure hidden in complex data? Whether it's adding loop structure to graph neural networks, measuring a node's sphere of influence with game theory, or detecting communities across multiple networks, the conference gave us great feedback and follow-up work, and I'm looking forward to diving into it," said Dharmawan.
Sep 17, 2026
Detecting Life in Icy, Extreme Environments
This past summer, PhD student Paulina Umansky, who works with Professor Ian Baker on Antarctic ice microstructure and Professor Jacob Buffo on life detection in planetary ices, lived on the Taku Glacier in Alaska for three weeks as a participant in the Juneau Icefield Research Program. "The Juneau Icefield serves as an analog for environments across the solar system such as Mars and Europa. I conducted a pilot study on 'Life Detection Across Taku Glacier,' collecting subglacial and supraglacial samples. In the field, I learned several assays and applied them to analyze these samples, quantifying biosignatures present across the icefield," says Umansky.