Faculty Profile

Maciej Balajewicz

Aerospace Engineering
Maciej Balajewicz
Maciej Balajewicz
Assistant Professor
321C Talbot Laboratory MC 236
104 S. Wright
Urbana Illinois 61801
(217) 300-3158

Primary Research Area

  • Controls, Dynamical Systems and Estimation


  • Ph.D., Duke University, Durham, North Carolina, 2012
  • M.A.Sc., Carleton University, Ottawa, Canada, 2007
  • B.A.Sc., Carleton University, Ottawa, Canada, 2004

Academic Positions

  • Assistant Professor, Department of Aerospace Engineering, University of Illinois at Urbana-Champaign, August 2015-present
  • Faculty Affiliate, Computational Science and Engineering, University of Illinois at Urbana-Champaign, May 2015-present
  • Adjunct Assistant Professor, Department of Mechanical Engineering and Materials Science, Duke University, July 2014-present
  • Visiting Senior Researcher, Department of Fluids, Thermal and Combustion Science, French National Center for Scientific Research, May 2013
  • Postdoctoral Research Fellow, Department of Aeronautics and Astronautics, Stanford University, September 2012-May 2015
  • Research Associate, Department of Mechanical Engineering and Materials Science, Duke University, August 2012-September 2012
  • Research Fellow, Center for Human Science, Chapel Hill, NC, September 2008-May 2010
  • Research Assistant, Department of Mechanical Engineering and Materials Science, Duke University, September 2008-July 2012
  • Research Assistant, Department of Mechanical and Aerospace Engineering, Carleton University, September 2005-August 2007

For more information

Other Professional Employment

  • Engineer, GEDEX Inc., Mississauga, Canada, May 2002-September 2003
  • Engineer, National Research Council (NRC), Ottawa, Canada, May 2001-September 2001

Student Organizations

  • Faculty Advisor, Student Aircraft Builders (SAB)

Research Statement

Computational models of high-dimensional systems arise in a rich variety of engineering and scientific contexts. For example, computational fluid dynamics (CFD) and finite element (FE) analysis have become indispensable tools for many engineering applications. Unfortunately, high-fidelity simulations are often computationally prohibitive for parametric and time-critical applications such as design, design optimization, control, and virtual testing. Moreover, even when adequate computational resources are available, simulations often provide too little understanding of the solutions they produce. There are significant scientific and engineering benefits in developing and studying low-dimensional representations of high-dimensional systems that retain physical fidelity while substantially reducing the size and cost of the computational model.

My research is focused on developing theoretical and computational tools for low-dimensional and low-rank models of multi-scale and multi-physics problems.

Research Interests

  • Model order reduction
  • Nonlinear Systems
  • Fluid-Structure Interactions
  • Turbulence
  • Machine Learning
  • System Identification
  • Computational Fluid Dynamics

Selected Articles in Journals

Pending Articles


Teaching Honors

  • List of Teachers Ranked as Excellent by their Students (Spring 2016, Fall 2016, Spring 2017)
  • Illinois Collins Scholar (2016)

Research Honors

  • Journal of Computational Science, ICCS 2016 Best Paper Award (2016)
  • Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Fellowship (2010-2012)
  • Center for Human Science Residential Fellowship (2008-2011)
  • Canada-EU Student Exchange Program (CESAer) (2007)
  • Carleton University Entrance Scholarship (2000)

Other Honors

  • USNCCM12 Travel Award (2012)
  • SIAM Travel Award (2012)