Anaheim Convention Center
Anaheim, California, United States
26 - 30 April 2020
Conference SI221
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
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Abstract Due:
16 October 2019

Author Notification:
20 December 2019

Manuscript Due Date:
1 April 2020

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Conference Chairs
Conference Co-Chairs
Program Committee
  • William D. Blair, Georgia Tech Research Institute (United States)
  • Mark J. Carlotto, General Dynamics Advanced Information Systems (United States)
  • Alex L. Chan, U.S. Army Research Lab. (United States)
  • Kuo-Chu Chang, George Mason Univ. (United States)
  • Chee-Yee Chong, Independent Consultant (United States)
  • Marvin N. Cohen, Georgia Tech Research Institute (United States)
  • Frederick E. Daum, Raytheon Co. (United States)
  • Jean Dezert, The French Aerospace Lab. (France)
  • Mohammad Farooq, AA Scientific Consultants Inc. (Canada)
  • Laurie H. Fenstermacher, Air Force Research Lab. (United States)
  • Charles W. Glover, Oak Ridge National Lab. (United States)
  • I. R. Goodman, Consultant (United States)
  • Michael L. Hinman, Independant Consultant (United States)

Program Committee continued...
Call for
This conference will address a range of issues pertinent to the target presence/recognition task, such as signal/image detection, signal/image and data processing, tracking, multisensor/data/information fusion, resource management, processing and computational complexity, information extraction, decision-making and human’s role, image compression, compressive sensing, and processor architectures. Conference will address advances in all aspects of systems and algorithms used in all levels of information fusion. Defense, security as well as dual-use and commercial applications of the acquisition, signal processing, and information fusion problems will be considered.

Papers are solicited, but not limited to, the following and related topics:
  • multisensor and multisource information fusion
  • random sets and conditional event algebra applications
  • homeland defense applications of multisource information fusion
  • commercial applications of multisource information fusion
  • target detection, tracking and sensor/data fusion using centralized and/or distributed multisensor architectures
  • biological and cognitive foundations for information fusion
  • big data analytics/processing with applications to information fusion
  • application of context to enhance information fusion
  • information fusion in contested environments
  • application of information fusion to smart cities
  • signal processing, information fusion, understanding and networking aspects of cyber physical systems (CPS) and related internet-of-things (I-o-T)
  • Distributed Information Fusion, Detection and Networking
  • Deep Machine Learning and AI applications to Information Fusion, Image Processing and (target) Recognition
  • Maximum Entropy Methods applications information Fusion, Target Detection, Image Processing and (Target) Recognition
  • Predictive Analytics methods application to all areas of Information Fusion
  • Quantum information processing applications to information fusion, cyber and networking, (CPS), ( I-o-T), Big Data Analytics, and related areas
  • situation/threat assessment and intent modeling
  • behavior modeling
  • social/cultural modeling
  • cyber and networking aspects of information fusion
  • adaptive, robust, and knowledge-based information/sensor fusion
  • physics derived and human derived (aka hard and soft) information fusion
  • resource and connection/communications management
  • distributed communications issues and effects on performance: ad-hoc networks and net- centric service-oriented architectures
  • human-computer interface and modeling
  • measures-of-performance, measures-of-effectiveness and evaluation methods
  • target identification/recognition and feature extraction
  • human’s role in analysis and decision making in information fusion
  • model-based target recognition
  • sensor and target modeling, and implementation issues
  • evidential reasoning including Dempster Shafer, DSmT, and neural networks and fuzzy logic techniques
  • image models, registration and compression
  • compressive sensing applications
  • target classification utilizing individual and/or multiple sensors
  • computational and optimization techniques
  • dual-use concepts
  • innovative architectures including high-performance computing (HPC) and optical implementation.
Notes: This conference plans to host in 2020 an Invited Panel composed of internationally recognized experts. The topic will be announced at a future date.
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