Communities

Division Overview

The Information Acquisition, Processing and Display division is a community of information scientists interested in applications of photonics in digital systems, systems engineers interested in interfaces between analog and digital systems and physical scientists interested in the representation of data in physical form. The division encompasses the development and use of numerous techniques to acquire and process data. It uses as a basis for data acquisition many of the tools and devices developed by the Photonics and Opto-Electronics division such as LIDAR, and other various sensors and modifies these devices as required to perform a specific data acquisition task. As an example, LIDAR or LIDAR components developed by the Photonics and Opto-Electronics division will be modified for field application to measure in this example the atmosphere, pollution, or aerosol distributions. This division uses numerous sensor types from FPA imagers, fiber acoustic, magnetic and temperature sensors and light based probes, etc. It is involved in the development of data acquisition hardware, processing systems, and data visualization and display techniques.  Topics within the division include:

• Fundamental information science, such as information theory and coding for photonic systems and computational complexity and algorithms for sensing, processing and communications,
• Analog/Digital interfaces, including analog and digital processing in sensors and transceivers and digital to analog interfaces for multimedia and sentient environments,
• Digital analysis of optical data, including pattern recognition, target identification and tracking and biometric analysis,
• Physical information processing, including field transformations in thin and volume holograms, photonic crystals and spectral holograms for applications in information display, sensing and storage and nonlinear transformations for information processing and switching.
• Physical limits of information, including optics in quantum, molecular and mesoscopic computing systems.

Abhijit Mahalanobis, Lockheed Martin Corporation, United States, Chair
 

Division Techincal Groups