EMI 2022 Conference at Johns Hopkins University: Registration is open

EMI 2022 Conference

Johns Hopkins University

Baltimore, Maryland – May 31- June 3

Register Early

and take advantage of the discount!

At this time, we are planning for EMI 2022 to be a 100% in-person event.  

With your safety in mind, there will be a requirement to upload documented proof of a COVID-19 vaccination or proof of a negative PCR test taken 72 hours prior to arrival.

REGISTER

Key Dates:

•          February 22–March 31 | Early Full Registration

•          April 1–30 | Regular Full Registration

•          May 1– 27 | Late Registration

Lodging:

Make your hotel reservations at one of the conference hotels close to campus to get the best rate available. 

Conference attendees can also reserve a room in Charles Commons (select Charles Commons under 2nd Year Building Options). This is a modern, suite-type dormitory, located at 3301 Charles St., across the street from Johns Hopkins University. It offers 2- and 4-person shared suites where each occupant has a private room (keyed entry) and shares a kitchenette and bathroom. The total room cost for the duration of the entire conference (check-in on May 31 and check-out on June 3) is a nominal $180, regardless of how many nights you actually stay. Please note that daily hotel-style housekeeping is not provided in these rooms. Reservations must be made when you register for the conference. We encourage you to register early, as the number of rooms for the conference is limited.

View List of Hotels

Plenary Speakers:

George Deodatis, Ph.D., F.EMI, M.ASCE

Columbia University

Reflections and Recent Developments on the Use of Monte Carlo Simulation in Stochastic Mechanics

Shirley J. Dyke, Ph.D., A.M.ASCE

Purdue University

Empowering Engineers by Leveraging Automation in Reconnaissance

Charbel Farhat, Ph.D.

Stanford University

Computational Mechanics for Landing on Mars

Yonggang Huang, Ph.D.

Northwestern University

Mechanics Modeling in Bio-integrated Smart Structures

Kurt Maute, Ph.D.

University of Colorado Boulder

On the Optimal Design of Problems in Solid and Fluid Mechanics Dominated by Interface Phenomena

Charles Meneveau, Ph.D.

Johns Hopkins University

Democratizing Really Big Data in Turbulence and Sample Application

LEARN MORE ABOUT THE SPEAKERS