Wenjia Wang

Research Interests

  • 3D printing of renewable materials
  • Artificial Intelligence and Machine Learning in advanced manufacturing
  • Digital Twin
  • Process modeling and optimization
  • Metal additive manufacturing
  • Physics-based Numerical and analytical modeling
  • Mechanical behavior of composites

Wenjia is actively looking for Postdoc, PhD, MS, undergraduate research assistants with a background in solid mechanics, machine learning, robotics, bio-composites, wood composites, 3D printing, CAD.

Advancing American Competitiveness: CorMic's Pursuit of Tech Hub Funding

 

February 29 marked a major milestone for the Corvallis Microfluidics Tech Hub, or CorMic, as the consortium submitted their proposal to the U.S. Economic Development Administration to be considered for up to $70 million in funding as part of the Biden Administration’s Tech Hub Program. As one of the 31 Tech Hubs designated by the Biden Administration in October, CorMic has positioned itself to become a global leader in microfluidics over the next decade.

The future of biosensing: A trailblazing project with HP

Doctoral students Jacob Dawes and Debbie Chou, under the guidance of Associate Professor Matt Johnston (left), test a setup to measure small particles as they pass through a microfluidic flow cell. These beads serve as cell surrogates, but the target application is for cell counting — or flow cytometry — a commonly used tool in bio labs and for medical tests. The goal is to develop a smaller, much more integrated cell counting system using custom integrated circuits.

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