information and systems sciences Lab (ISSL)

Members of ISSL conduct groundbreaking research in neuromorphic computing, robotic manipulation, brain-machine interfaces, trusted computing, multi-sensor object recognition, and automated knowledge
and content extraction.

The lab is investigating intelligent neural systems for mobile platforms that can perform complex behaviors in the face of unforeseen and changing environmental conditions. The goal of ISSL's computational brain function research is to develop computational models of how the brain processes single and cross-sensory modalities (in video, audio and speech), as well as actions (planning, navigation) and motor control. Work on brain machine interfaces is focused on discovering relevant patterns / thoughts from non-invasive devices (e.g., electroencephalograms) with the goal of assisting and augmenting human cognition. The lab is developing new capabilities for dexterous mobile manipulation using human-like robots.

Sensor-processing research is directed at extracting information from data of any type to enable the development of systems with new or enhanced capabilities. ISSL researchers are developing and exploiting state-of-the-art algorithms for the entire processing chain—from low-level processing to feature extraction, entity detection and recognition, sensor and information fusion, and higher level analysis. Other work in this area emphasizes diagnostics and prognostics and on wireless communications and sensing systems. ISSL has developed and demonstrated systems for a variety of applications, including automotive safety, manufacturing safety, surveillance, vehicle prognostics, vehicle-to-vehicle communications, electronic control unit diagnostics, and warranty record analysis.

Current Openings

    • Post Doc Research Staff, Cognitive Computing - 1521.04
    • Post Doc Research Staff, Machine Intelligence - 1521.05
    • Post Doc Research Staff, Machine Reasoning - 1521.06
    • Post Doc Research Staff, Novel Computing Architectures - 1621.03
    • Post Doc Research Staff, Mathematics of Complex Systems - 1621.04


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
  • Cybersecurity
  • Predictive Modeling and Knowledge Extraction for Dynamic Networks
  • Trusted Digital Networks and Systems