Events

MS Thesis Defense: Katherine Bullion

Monday
9:30am - 10:30am ET

Rm B26, MacLean ESC/Online

"The implementation and miniaturization of a new current source into the consolidated layout of an electrical impedance tomography probe with a novel approach to electrode layout"

Special Seminar: Molecular Modeling in the Age of AI—From energy materials to device simulations

Davide Donadio, Professor of Chemistry, UC Davis

Monday
3:30pm - 4:30pm ET

Jackson Conf Rm/ Online

How AI is catalyzing a paradigm shift in materials modeling, conjugating accuracy, transferability, and computational efficiency.

Special Seminar: From Climate Risk to Resilience—Quantitative insights at the intersection of energy, water, and public health

Kelly Sanders, Associate Professor of Civil and Environmental Engineering, USC

Wednesday
3:30pm - 4:30pm ET

Jackson Conf Rm/ Online

Research diagnosing climate-related vulnerabilities across three domains.

Family Weekend Open House

Friday
1:30pm - 3:00pm ET

Class of 1982 ECSC

Tours, demos, and refreshments for visiting families.

Jones Seminar: How Do Neural Networks Learn Features from Data?

Adit Radhakrishnan, Assistant Professor of Applied Mathematics, MIT

Friday
3:30pm - 4:30pm ET

Spanos Auditorium/Online

A unifying mechanism that characterizes feature learning across neural network architectures.

PhD Thesis Proposal: Bruno Miranda Henrique

Monday
3:00pm - 4:00pm ET

Rm 201, MacLean ESC (Rett's Rm)

"Dynamic Trust Calibration"

Fall Engineering Career Fair

Tuesday
11:00am - 3:00pm ET

ECSC

All Dartmouth students interested in career opportunities in engineering and tech are welcome to attend.

Jones Seminar: Quantum Computing with Sound

Andrew Cleland, Professor of Molecular Engineering, U Chicago

Friday
3:30pm - 4:30pm ET

Spanos Auditorium/Online

Advances pointing to the possibility of a phonon-based quantum computer, in which phonons allow inexpensive scaling to a large quantum computer.

Jones Seminar: Modern Developments in Error Correction

Ken Duffy, Professor of Electrical & Computer Engineering, Northeastern U.

Friday
3:30pm - 4:30pm ET

Spanos Auditorium/Online

An introduction to Guessing Random Additive Noise Decoding (GRAND), a class of error correction decoders suitable for any moderate redundancy code.

The Dartmouth AI Conference

Friday
8:30am - 5:00pm ET

Computer History Museum, Mountain View, CA

Voices from business, policy, technology, and academia explore the real-world implications of AI on leadership, governance, talent development, and public trust.