Innovative Capabilities; Diverse Applications

The Information and Systems Sciences Laboratory conducts groundbreaking research in three thrust areas: Complex Networks, Cyber-Physical Resilience and Brain-Machine Intelligence. Through research collaborations with our LLC Member companies, government (e.g., DARPA, IARPA, Dept. of Homeland Security, Office of Naval Research, Air Force Research Lab), commercial and leading academic institutions (25+), we create new and innovative capabilities for diverse applications such as cyber-security, unmanned autonomous systems, human performance augmentation, big data analytics, intelligence, surveillance, and reconnaissance, and electronic warfare.

Complex NetworksComplex Networks

We live in an interconnected world with smart devices, services, and systems generating massive amounts of heterogeneous and multi-modal data. Research in the Complex Networks thrust focuses on how to model and analyze an interconnected network of networks so that we can extract useful information from the big data that these systems generate, as well as predict and influence their behavior.

Cyber-Physical ResilienceCyber-Physical Resilience

Interconnected systems, computers, vehicles and devices are all vulnerable to cyber attacks – with new attacks and vulnerabilities being announced almost daily.  Research in the Cyber-Physical Resilience thrust focuses on the automatic synthesis and verification of provably secure cryptographic protocols for data storage and computation, and on tools that automatically verify that system software adheres to specified security policies.

Brain Machine IntelligenceBrain Machine Intelligence

The human brain is an amazing information processing device!  Research in the Brain-Machine Intelligence thrust focuses on computational and mathematical modeling of cognition and brain functions to understand how humans process information and interact with the environment.  This research will enable better training systems, advanced human decision aids, smarter autonomous systems and brain-like, low size, weight, and power processing systems.



Current Openings

    • Post Doc Research Staff, Social Systems - 1721.05
    • Post Doc Research Staff, System Health Intelligence - 1721.08
    • Research Staff, Autonomous Systems - 1721.10
    • Research Staff, Machine Learning and Cognitive Processing for Autonomous Systems - 1721.11
    • Post Doc Research Staff, Machine Learning and Cognitive Processing for Autonomous Systems - 1721.14
    • Post Doc Research Staff, Secure Computation - 1721.15
    • Post Doc Research Staff, Adaptive Signal Processing & Machine Learning - 1721.16
    • Post Doc Research Staff, Machine Learning and Computer Vision - 1721.17



Center for Neural and Emergent System (CNES)
was established to create intelligent, efficient machines that can interact with, react and adapt to, evolve, and learn by interacting with their environments. More >

Areas of REsearch

  • Bio-inspired Adaptive Machines
  • Dexterous Bi-Manual Robotic Control & Manipulation
  • Neuromorphic Electronics and Brain-Based Devices
  • Brain (EEG)-in-the-Loop Robotic Control and Threat Detection
  • Brain-Inspired Object Recognition and Scene Understanding
  • Multi-Sensor 3D Object Detection and Recognition
  • Neuro-Cognitive Modeling
  • Self-Organized Systems and Physical Intelligence
  • Vision-Based Automotive and Factory Safety Systems
  • Knowledge-Enabled Compressive Sensing
  • Mobile and Wireless Networks
  • In-Platform Wireless Communication Systems
  • Vehicle Diagnostics and Prognostics
  • Prognostics for Embedded Electronics
  • Security Analytics
  • Predictive Modeling and Knowledge Extraction for Dynamic Networks
  • Trusted Digital Networks and Systems