08/19/2019
01:00 PM - 03:00 PM
Emerald C/D/E
Time
01:00 PM - 03:00 PM
Plenary
MA1 - Welcome Remarks
Date
08/19/2019
Time
01:00 PM - 03:00 PM
Room
Emerald C/D/E
Duration
15 Minutes
Lecture Time
01:00 PM - 01:15 PM
MA1.1 - AFRL MUNITIONS DIRECTORATE WELCOME
Presentation Type
Plenary Submission
Date
08/19/2019
Time
01:00 PM - 03:00 PM
Room
Emerald C/D/E
Duration
15 Minutes
Lecture Time
01:15 PM - 01:30 PM
Abstract
Abstract
The Munitions Directorate of Air Force Research Laboratory and the Team Eglin community welcomes you to the 2019 IEEE sponsored forum for Research and Applications of Photonics in Defense (RAPID). RAPID’s 48 technical sessions will expound leading edge technologies to enable the DoD enterprise.MA1.2 - FORCE MODERNIZATION OPPORTUNITIES AND ISSUES
Presentation Type
Keynote Submission
Date
08/19/2019
Time
01:00 PM - 03:00 PM
Room
Emerald C/D/E
Duration
30 Minutes
Lecture Time
01:30 PM - 02:00 PM
Abstract
Abstract
We provide a brief overview of the OSD Office of Operational Test and Evaluation (OT&E), and how we are preparing for T&E of emerging technologies, illustrating our efforts with a focus on Autonomous Systems, their properties, and the associated T&E challenges and opportunities.MA1.3 - HOW PRACTITIONERS AND LEADERS TALK PAST EACH OTHER
Presentation Type
Plenary Submission
Date
08/19/2019
Time
01:00 PM - 03:00 PM
Room
Emerald C/D/E
Duration
30 Minutes
Lecture Time
02:00 PM - 02:30 PM
Abstract
Abstract
This presentation discusses how differing points of view often mask coherent communication between practitioners and leaders as programs develop. The prentation also offers potential solutions.
MA1.4 - PLASMONIC METAMATERIALS MEET QUANTUM
Presentation Type
Plenary Submission
Authors
Date
08/19/2019
Time
01:00 PM - 03:00 PM
Room
Emerald C/D/E
Duration
30 Minutes
Lecture Time
02:30 PM - 03:00 PM
Abstract
Abstract
We outline directions in the development of high-speed quantum photonics and report on single-photon sources and modulators with bandwidths approaching the THz range. The use of plasmonics to outpace quantum decoherence and the application of machine-learning techniques for quantum optical measurements will be also discussed.