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Dartmouth Engineering Welcomes Three New Faculty
Dec 01, 2022 | Dartmouth Engineer
Three new faculty—Professors Eric Bish, Peter Chin, and Mattias Fitzpatrick—joined Thayer during the summer term.
Eric Bish
Associate Professor of Engineering
For the past five years, Bish has served as visiting associate professor at Thayer, where he has taught MEM courses "Technology Assessment," "Introduction to Optimization Methods," and "Technology Project Management," and advised on individual final projects. His expertise spans a broad array of topics, including computational fluid dynamics, fluid and thermal sciences, and engineering management. His extensive career has included positions with Hypertherm and Ansys in Lebanon, NH. He earned his bachelor's in aeronautical engineering from Ohio State University and his MS and PhD in aeronautical engineering from the University of Michigan.
Peter Chin
Professor of Engineering
As director of the Learning, Intelligence + Signal Processing (LISP) Lab, Chin and his students are investigating fundamental questions—such as whether intelligence be learned—at the intersection of signal processing, machine learning, game theory, differential geometry, extremal graph theory, and computational neuroscience. He is an associate editor of IEEE Transactions on Computational Social Systems and has served as cochair of the annual SPIE/DSS Conference on Cyber Sensing and symposium chair of the GlobalSIP conference. He earned his bachelor's in electrical engineering, computer science, and mathematics from Duke and his PhD in mathematics from MIT.
Mattias Fitzpatrick
Assistant Professor of Engineering
Fitzpatrick's research focuses on quantum engineering and quantum sensing using superconducting circuits. He graduated with a bachelor's in physics and mathematics from Middlebury College and completed his PhD at Princeton with a focus on the design and construction of large-scale one and two-dimensional circuit QED lattices. There, he received an Intelligence Community postdoctoral fellowship to work on quantum sensing and was awarded a distinguished teaching award for the design and implementation of a course on electricity, magnetism, and photonics. After his fellowship, he went on to work on quantum computation at IBM's Thomas J. Watson Research Center.
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