information and systems sciences Lab (ISSL)
Members of ISSL conduct groundbreaking research in wireless communications, neuromorphic computing, brain-machine interfaces, trusted computing, target recognition, and automated knowledge and content extraction. The team includes expertise in network sciences, computational neuroscience, mathematics, robotics, machine learning and pattern recognition, and computer science and engineering.
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.
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
- Research Staff, Bio-Inspired - 0921.02
- Research Staff, Information Security - 0921.04
- Post Doc, Research Staff, Neuro-Inspired - 0921.06
- Post Doc, Research Staff, Computer Vision - 1021.01
- Post Doc, Research Staff, Evolutionary Systems - 1021.02
- Post Doc, Research Staff, Network Science - 1021.04
- Post Doc, Research Staff, Information Security - 1021.06
- Post Doc, Research Staff, Robotics - 1021.07
laboratories
Center for Neural and Emergent System (CNES)
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 Resilient Machines
- Neuromorphic Electronics and Brain-Based Devices
- Brain (EEG)-in-the-Loop Robotic Control and Threat Detection
- Brain-Inspired Object Recognition and Robust Robotic Control
- Reconstructive Memory Systems
- Self-Organized Systems and Physical Intelligence
- Coordinated Cognitive Machines
- 2D and 3D Object Detection and Recognition
- Image Enhancement and Super-Resolution
- Vision-Based Automotive and Factory Safety Systems
- Adaptive Signal Processing
- Mobile and Wireless Networks
- In-Platform Wireless Communication Systems
- Vehicle Diagnostics and Prognostics
- Prognostics for Embedded Electronics
- Predictive Modeling and Knowledge Extraction for Dynamic Networks
- Trusted Digital Networks and Systems