2019 IEEE Symposium Series on Computational Intelligence


IEEE Symposium Series on Computational Intelligence

December 6-9, 2019 Xiamen, China

 

IEEE Symposium on Computational Intelligence for Security and Defense Applications (IEEE CISDA)

Given the current global security environment, there has been increased interest within the security and defense communities in novel techniques for solving challenging problems. The genesis of this interest lies in the fact that repeated attempts of using traditional techniques have left many important problems unsolved, and in some cases, not addressed. New problems have emerged within the broad areas of security and defense that are difficult to tackle with conventional methods, thus requiring new techniques for detecting and adapting to emerging threats.

The purpose of the symposium is to present current and ongoing efforts in computational intelligence (e.g., neural networks, fuzzy systems, evolutionary computation, swarm intelligence, and other emerging learning or optimization techniques) as applied to security and defense problems.

Scope

This symposium aims at publishing high-quality research efforts rooted in Computational Intelligence as applied to defense and security problems. First-class contributions addressing research challenges in these areas and their CI-based solutions (i.e., neural networks, fuzzy systems, evolutionary computation, swarm intelligence, rough sets, granular computing, and other emerging learning or optimization techniques) are solicited.

Topics

Advanced Architectures for Defense Operations

  • Multi-Sensor Data Fusion
  • Hard-Soft Data Fusion
  • Context-Aware Data Fusion
  • Employment of Autonomous Vehicles
  • Intelligence Gathering and Exploitation
  • Mine Detection
  • Situational Assessment
  • Impact Assessment
  • Process and User Refinement
  • Automatic Target Recognition
  • Mission Weapon Pairing and Assignment
  • Sensor Cueing and Tasking
  • Self-Healing Systems
  • Decision Support Systems
  • Deep Neural Networks and Deep Learning

Modeling and Simulation of Defense Operations

  • Logistics Support
  • Mission Planning and Execution
  • Resource Management
  • Red Teaming
  • Computational Red Teaming
  • Course of Action Generation and Recommendation
  • Hybrid Approaches (CI & Operations Research, CI & Game Theory, etc.)
  • Models for War Games
  • Risk-Aware Decision Support
  • Risk Impact and Probability Estimation Systems
  • Multi-Agent Based Simulation
  • Critical Infrastructure Protection
  • Strategic Planning (Path Planning, Asset Allocation, etc.)
  • Counterterrorism and Counterinsurgency
  • Behavioral or Cognitive Learning
  • Human Modeling: Behavior, Emotion, Motion

Security Applications

  • Surveillance
  • Suspect Behavior Profiling
  • Anomaly Detection
  • Automated Handling of Dangerous Situations or People
  • Stationary or Mobile Object Detection, Recognition and Classification
  • Physical Intrusion Detection Systems
  • Air, Maritime and Land Security
  • Face Recognition
  • Attack Prevention and Defense Systems
  • Threat Forecasting Systems
  • Critical Infrastructure Protection
  • Cyber-Security
  • Biometrics

Contact

For submission-related inquiries, please contact
Email: marco.cococcioni@unipi.it
Email: ssundaram@ntu.edu.sg
Email: rabielmo@gmail.com

For inquiries regarding registration fees, visa letters, please contact the symposium chair
Email: marco.cococcioni@unipi.it

Symposium Chairs

Marco Cococcioni

University of Pisa, Italy

Email: marco.cococcioni@unipi.it

Homepage

Sundaram Suresh

Nanyang Technological University

Email: ssundaram@ntu.edu.sg

Homepage

Rami Abielmona

University of Ottawa, Canada

Email: rabielmo@gmail.com

Homepage

Program Committee

James M. Keller
Derek Anderson
Maxwell Dondo
Gerry Dozier
Maikel Leon Espinosa
Eric Granger
Rafael Falcon
Devesh Jinwala
Ruggero Donida Labati
Xiao Luo
Frank Moore
Sankita Patel
Vijay Rao
Jean Roy
Howard Schwartz
Lidong Wang
Lipo Wang
Svetlana Yanushkevich
George Yee
Nur Zincir-Heywood