Post Type
News

First IEEE UFFC-S Star Ambassadors Named

Lead
May 10, 2020 | Contributed By - Zuleima Davis, Conference Catalysts, LLC
6 years ago
Share on:
Body

In 2019, the IEEE UFFC-S established a new award to support regional travel for promising early-career leaders, the IEEE UFFC Star Ambassador Lectureship Award. Early career is considered to be within 15 years since the first degree. Each Star Ambassador receives up to $2500 to off-set travel costs while delivering technical talks in their geographic region to highlighting their research while promoting IEEE and the UFFC Society.

It is hoped that these awards will enhance networking for all involved. If you are living in the region of one of the ambassadors, and would like to invite them for an exchange or if you would like to apply for this award yourself, you can contact Ms. Zuleima Davis at (Click to show email).

Six UFFC-S STAR Ambassadors have been named so far for 2020:

Country
CHN
Affiliation
Xi'an Jiaotong University
IEEE Region
Region 10 (Asia and Pacific)
Email

Fei Li, Xi’an Jiaotong University, Xi’an, 710049, China

Topic: Modified Relaxor Ferroelectrics with Enhanced Polar State Heterogeneity

Country
IND
Affiliation
IIT Gandhinagar
IEEE Region
Region 10 (Asia and Pacific)
Email

Himanshu Shekhar, Indian Institute of Technology, Gandhinagar, Gujarat, India

Topic: Harnessing Ultrasound and Microbubbles for Next Generation Imaging and Therapy

Country
USA
Affiliation
University of Florida
IEEE Region
Region 03 (Southeastern U.S.)
Email

Joel Harley, University of Florida

Topic: Ultrasonic Physics-Informed Machine Learning

Country
USA
Affiliation
Penn State University
IEEE Region
Region 02 (Eastern U.S.)
Email

Yun Jing, North Carolina State University

Topic: Numerical Modeling of Medical Ultrasound

Country
USA
Affiliation
University of Colorado - Boulder

Nick Bottenus, University of Colorado Boulder, Boulder, CO

Topic: Maintaining Coherence and Expanding the Horizons of Ultrasound Imaging

Country
USA
Affiliation
Johns Hopkins University
IEEE Region
Region 02 (Eastern U.S.)
Email

Muyinatu Bell, Johns Hopkins

Topic: Deep Learning in Ultrasound