For information about UWM’s fall semester plans, visit the Fall 2020 Reopening website.


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.