Award/Recognition Menu

Description

To recognize an individual, whose age has not reached the 41st birthday by the nomination deadline, and who has made outstanding contributions to aerospace and electronic systems. The “early career award” for Radar is the Fred Nathanson Award. This Early Career Award is for an individual working in all the other areas of interest of AESS.

Prize

$2,000 USD for the awardee and a plaque. Up to $1,000 USD to attend the award ceremony can be authorized by the AESS President.

Funding

Funded by the IEEE Aerospace and Electronic Systems Society

Presentation

At a convenient IEEE AESS conference.

Eligibility

This award is to recognize an individual, whose age has not reached their 41st birthday by the nomination deadline, and who has made outstanding contributions to aerospace and electronic systems. The recipient must be a current member of the IEEE and AESS and have been a member of the IEEE and AESS for at least the previous 3 calendar years plus the year of the nomination.

Current officers and members of the AESS Board of Governors are ineligible, as well as previous recipients of this award, the Fred Nathanson Early Career Award, and winners of IEEE Field Awards. Self-nominations are not accepted. Members of the AESS Board of Governors are not permitted to submit nominations or reference letters.

Nomination Deadline
1 December
Application Details

For questions, please contact the VP Awards.

2023

Recipient(s)
Citation

For his contributions and leadership in the research field of GNSS and multisensor navigation systems integrity and to the aerospace community.

2022

Recipient(s)
Country
PER
Affiliation
Business on Engineering and Technology S.A.C. (BE Tech)
IEEE Region
Region 9 (Latin America)
Email
Website
Citation

For contributions to the creation of space technologies in developing countries.

2021

Recipient(s)
Country
ITA
Affiliation
University of Naples, “Federico II”
IEEE Region
Region 8 (Africa, Europe, Middle East)
Email
Citation

For contributions to decentralized inference and sensor fusion in networked sensor systems.

2020

Recipient(s)
Citation

For outstanding research leadership in Human-Machine Systems for Multi-Domain Traffic Management and Trusted Autonomous Airspace Operations.