Jason Clark

Profile picture of Jason Clark.

Jason Clark

Associate Professor of Practice
Electrical Engineering and Computer Science

4117 Kelley Engineering Center
Corvallis, OR 97331
United States

Ph.D. in Applied Science & Technology, University of California at Berkeley, USA 2005
B.S. in Physics, California State University at Hayward, USA 1996

Jason Clark received a Ph.D. in Applied Science & Technology from the University of California at Berkeley (Berkeley Sensor and Actuator Center) in 2005. In 2006, he joined Purdue University as an assistant professor, where he invented the s-drive, the first composable actuator; microids, microrobots with insect-like dexterity; an atomic force microscope on-a-chip; Sugarcube, an online CAD/E for MEMS tool; and performance-on-demand microelectromechanical systems. In 2014, Jason founded Sugarcube Systems Inc, where he researched and developed micro/nanoscale metrology, intelligent tutoring systems, and artificial engineering. In 2017, he joined Auburn University as an assistant professor, where he created artificial muscle and started the field of Polymechantronics. And in 2022, he joined Oregon State University as an associate professor of practice, where he is currently working on developing the first 3D printable polymer smart machines that can actuate, sense, and compute through Polymechatronics (PMT); bringing accuracy to micro and nanotechnologies through Electro Micro Metrology (EMM); enabling microelectromechanical systems to modify their performance on demand by changing their effective mass, damping, and stiffness PODMEMS; developing insect-like dexterity for microrobotics through Microids; addressing the grand challenge of personalized learning through a novel Intelligent Tutoring System (ITS); developing a type of artificial intelligence for solving engineering tasks called Artificial Engineering (AE); and creating novice-friendly Computer-Aided Design and Engineering (CAD/E) tools.

Research Interests
  • Polymechatronics (PMT) 
  • Electro Micro Metrology (EMM) 
  • Microid microrobotics 
  • Computer-Aided Design and Engineering (CAD/E) 
  • Intelligent Tutoring Systems (ITS) 
  • Performance on demand MEMS (PODMEMS) 
  • Artificial Engineering (AE) 
ENGR 100: Automating the Future
ENGR 203: Electrical Fundamentals III
Digital Logic and Circuits
Analog Electronics
Signals and Systems
Materials Science
Modeling and Simulation of Multidisciplinary Systems
RF Devices and Circuits
Linear Circuit Analysis I
Linear Circuit Analysis II