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The Grainger College of Engineering
Coordinated Science Laboratory
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  • Novel computing platforms and information processing approaches
In This Section
  • Research Overview
  • Impact Areas
    • Cybersecurity
      • Data science and cyber trust
      • Quantifying vulnerabilities
      • Secure systems and networking
    • Health IT
      • Cyber-physical-human systems
      • Data science
      • Machine-to-machine communications
      • Novel computing platforms and information processing approaches
      • Precision Medicine
      • Real-time processing and networking
      • Sensors and signal processing
      • Trustworthiness
    • Internet of Things
    • Robotics
      • Collaborative robotic teams
      • Mobile Robotics
      • Robotic intelligence
  • Groups
    • Circuits
    • Computational and Physical Electronics
    • Computer Systems and Architecture
    • Decision and Control
      • Calendar
      • Past Seminars
    • Health Care Engineering Systems Center
    • Intelligent Sensing, Networking, and Cyberphysical Systems
    • Remote Sensing and Space Science
    • Robotics
    • Security & Privacy
    • Signals, Inference, and Networks
    • Technology and Societal Impacts
  • Centers
    • Advanced Electronics through Machine Learning (CAEML)
    • Center for Autonomy
    • Center for Networked Intelligent Components and Environments (C-NICE)
    • Comp. Biotechnology and Genomic Med (CCBGM)
    • Health Care Engineering Systems Center (HCESC)
    • IBM-Illinois Discovery Accelerator Institute
    • Internet of Battlefield Things (IoBT)
    • National Center for Principled Leadership & Research Ethics (NCPRE)
      • People
  • Institutes
    • Advanced Digital Sciences Center
    • Information Trust Institute
  • Initiatives

Novel computing platforms and information processing approaches

In the future, computing will be much more integrated with our physical and social environment; computers will be capable of self-learning, and will need to be able to process and distribute massive volumes of data at an unimaginable scale.

The new interactions will require new theory, design tools, development paradigms, and run-time support to handle the challenges of distributed sensing, privacy, information distillation, control, robustness, system troubleshooting, energy, and sustainability, among others. The unprecedented amounts of data will require novel approaches and close interactions with application experts.

Three examples of approaches being pursued by CSL researchers include adaptive exploitation; utilization of tools from information theory, machine learning, game theory and optimal control, and signal processing to advance theoretical and practical aspects of information processing and decision-making in uncertain environments under resource and complexity constraints; and new bio-inspired (neurosynaptic) and communication-inspired (Shannon-inspired) computing platforms that are moving away from traditional computer architecture design.

Coordinated Science Laboratory

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1308 W Main Street MC 228

Urbana, IL 61801

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