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Meet Dartmouth's Newest Engineering Professors
Dartmouth this year welcomed 30 new tenured and tenure-track scholars to the ranks of its general faculty—including six in engineering sciences.
Dartmouth Engineering Professor Appointed as a Lead Author on UN Climate Change Assessment Report
Professor Erin Mayfield is a lead author for the Intergovernmental Panel on Climate Change Seventh Assessment Report, one of the world's most influential assessments of the science related to climate change.
New Implant Designed to Transform Understanding of the 'Gut-Brain'
Dartmouth Engineering Professor Alexander Boys, together with researchers from the University of Cambridge, have created a device that can be placed between the layers of the colon and, for the first time, directly measure electrical signals in the 'second brain in our guts.'
New Ocean Simulations Uncover Possible Link Between Subsurface "Storms" and Antarctic Ice Loss
Dartmouth Engineering professor Yoshihiro Nakayama and his multi-institutional team have identified storm-like circulation patterns beneath Antarctic ice shelves that can cause aggressive melting, with major implications for global sea level rise projections.
Eric Fossum Named 2026 Recipient of IEEE Jun-ichi Nishizawa Medal
The Dartmouth Engineering professor received the medal for the "invention, development, and commercialization of the CMOS image sensor" that revolutionized digital imaging around the world.
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Research Quick Takes
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.
Dec 04, 2025
Better Printed Solar Cells
Postdoc Yanan Li, PhD students Julia Huddy and Masha Klymenko, and Professor Will Scheideler coauthored "Spatial-Uniformity–Driven Bayesian Optimization for Rapid Development of Printed Perovskite Solar Cells" published in Small. (This came out of work recently funded by DOE in Scheideler's SENSE Lab.) "Metal halide perovskites are a promising emerging solar technology, but challenges in reliability and large‑area scalability still hinder widescale adoption. This work uses a machine‑learning–driven Bayesian optimization approach to improve the uniformity of printed perovskite films—addressing a key bottleneck for scaling low‑cost, roll‑to‑roll manufacturing and enabling higher‑efficiency, more reliable solar cells," said Scheideler.
Nov 20, 2025
Toward Optimal Auctions
PhD student Mai Pham, will present her paper, coauthored with professors Vikrant Vaze and Peter Chin, titled "Advancing Differentiable Mechanism Design: Neural architectures for combinatorial auctions" for a workshop at the Conference on Neural Information Processing Systems. Although auctions are considered an effective way of allocating limited resources when demand is high, designing auctions that are simultaneously optimal for the participants, system operator, and greater society is challenging. The paper presents a new approach that leverages modern deep learning architectures and algorithms to meet this challenge.
