Wolf Yeigh, Chancellor

Wolf Yeigh

Wolf Yeigh
Chancellor and Professor of Engineering

Bjong Wolf Yeigh is the third chancellor of University of Washington Bothell. Prior to joining UW Bothell, Yeigh was professor and president of the State University of New York Institute of Technology (now SUNY Polytechnic Institute). He previously held the position of vice president for academic affairs and dean of the faculty at Norwich University, engineering dean at Saint Louis University, and assistant provost for science and technology at Yale University. He was on the engineering faculty at Oklahoma State University. He was elected a fellow of the American Society of Mechanical Engineers and serves on several national and state boards for engineering, economic development, public policy and education. 


Safety and Security Studies
Transportation Systems, Accident Reconstruction, Disaster Models: The awareness and reaction to the vulnerability of transportation systems have stepped up significantly since the increase in terrorist activity over the last several years. Larger conveyance vehicles are especially susceptible to attack and have the potential for doing the most damage to people and surroundings in an accident of any type.  The accident reconstruction and analysis in the current program aim to examine mechanical issues due to: 1) derailment, 2) plastic deformation, 3) rupture, 4) initial impact, and 5) potential catastrophic failures (natural and manmade).

Modeling and Simulations
Nanofluids, Finite Element Method (FEM), Boundary Element Method (BEM), Stochastic Simulations
With the advancement of semiconductor device technology, there comes an increasing demand for cooling. Efficient cooling is difficult. Low thermal conductivity of working fluids such as water, oil or ethylene glycol led to the introduction of nanofluids, which represent a novel approach to cooling. Nanofluid is a suspension consisting of uniformly dispersed and suspended nanometer-sized particles in base fluid. Nanofluids have very high thermal conductivities at very low nanoparticle concentrations and exhibit considerable enhancement of convection. Intensive research in the field of nanofluids started only a decade ago. Models for determining effective properties (e.g., viscosity, heat capacity, heat conductivity) have been proposed, which enable relatively easy simulation of nanofluids using existing methods for simulations of pure fluids. We have already implemented this approach in our in-house flow solver. However, recently, models have been proposed that include the actual nanoparticle concentration in determining nanofluid properties. Thus, this project will address nanofluid properties in-situ for each location and at each time separately rather than  simplifying the problem by modeling the behavior with fluid with effective properties


Princeton University
Princeton, New Jersey
  • Ph.D. - Civil Engineering and Operations Research
Woodrow Wilson School at Princeton University
Princeton, New Jersey
  • Graduate Certificate, Science and Technology Policy
Princeton University
Princeton, New Jersey
  • M.A. - Civil Engineering and Operations Research
Stanford University
Standford, California
  • M.S. - Mechanical Engineering
Dartmouth College
Hanover, New Hampshire
  • B.A. - Engineering Science








  • General Learning Strategies - Vets (BCUSP 100)
  • Independent Study/Research (BME 498/499)