Dr. Fernando Zigunov

Biography

Assistant Professor
Syracuse University Department of Mechanical and Aerospace Engineering

Fernando Zigunov conducts research in the field of experimental aerodynamics at low- and high-Mach number regimes using state-of-the-art diagnostic tools and algorithms. Dr. Fernando Zigunov’s research is focused on leveraging automated experiments in fluid dynamics to deploy machine learning systems that can achieve tangible engineering goals to control various complex flow problems to develop and improve future aircraft and energy production systems. Dr. Zigunov also has extensive expertise in volumetric flow diagnostic techniques such as tomographic and scanning PIV, as well as time-resolved PSP, shadowgraph and schlieren. He is also interested in using data assimilation and modal analysis techniques to distill complex experimental data and understand its dynamical behavior.

Dr. Zigunov earned his B.S. in Mechanical Engineering at University of Vale do Rio dos Sinos, Brazil, and his PhD at Florida State University, USA. In his early career in Brazil, he spent seven years as a senior refrigeration engineer building large-scale refrigeration plants for food processing. He pivoted to graduate studies in aerodyanmics based on his interest in fluid dynamics, which involved application of advanced experimental techniques to examine and understand complex bluff body wakes. His research then moved towards higher-speed flows such as shockwave-boundary layer interaction flows and control of supersonic jet noise. He then spent two years at the Los Alamos National Laboratory building novel algorithms to perform three-dimensional, volumetric diagnostics in multi-fluid shock-turbulence mixing flows of interest to nuclear fusion research.