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In the institute, all the components of connected systems come together to optimize processes and enhance products.

World-class faculty contribute to diverse fields that include the use of sensors, risk management through cybersecurity, the conversion of big data into knowledge-based systems, and changes in organizational culture that accompany connectivity. Through applications, researchers can account for a wide range of user behavior and goals. A key challenge will be integrating individual science, engineering and business models with multiple kinds of software so they are compatible and function on a global scale.

In manufacturing, there’s a shortage of skilled labor. So automation has to happen. And the smart way to automate is to look at the whole system rather than just replace individual jobs with a machine.

SARAH FREEMANInterim Associate Dean, UWM Lubar School of Business
    Specific Industry
  • Manufacturing
  • Water treatment facilities, oil & gas
  • Life Sciences
  • Microgrids
  • Smart cities and infrastructure
  • Packaged food and beverage
  • Grid interface and energy efficiency
  • Smart grid
    Business Platform
  • Business Intelligence (BI): predictive analytics, data visualization, customer relationship management, enterprise knowledge management, web mining, sentiment analysis, social media analytics, mobile BI.
  • Supply chain management: warehouse management systems, inventory optimization, distribution center metrics, global e-commerce logistics.
  • Advanced manufacturing: smark manufacturing; re-manufacturing; sustainable manufacturing; real-time manufacturing/operations information systems.
  • Organization design and culture to support integrated systems.
    Networks & Control
  • Monitoring and controls: remote monitoring; predictive maintenance; hardware in the loop (HIL) controls.
  • Big Data: data mining and big data analysis; artificial intelligence; automated planning; decision-making under uncertainty; hypothesis/discovery monitoring and maintenance; compressed sensing; digital marketing.
  • Cybersecurity for advanced manufacturing: cryptography and information security; cybersecurity in networks, communications, data handling and storage; algorithms; implementation.
  • Computing in computer science: design and analysis of algorithms, software design, mobile computing and data gathering; static and dynamic program analysis; domain specific programming, AI planning and natural language understanding.
    Devices & Hardware
  • Hardware for connectibity: sensors; networking hardware; embedded devices; local processors; smart loads; hardware modeling; hardware in the loop (HIL).
  • Embedded systems: heterogeneous embedded systems; verification and validation of safety; critical and high-availability embedded sytsems; systems engineering of complex embedded systems.
    Basic Research
  • Advanced and real time sensors for IoT.
  • Computational studies.
  • Security algorightms and mechanisms.