Fernando Zigunov

Dr. Fernando Zigunov leads initiatives in the Department of Mechanical and Aerospace Engineering at Syracuse University, where he serves as an Assistant Professor. His work is at the forefront of integrating machine learning with fluid dynamics to enhance flow control systems through automated experiments. With a strong foundation in experimental fluid dynamics, Dr. Zigunov is pioneering the use of machine learning to advance the understanding and application of aerodynamics. Dr. Zigunov's research interests are diverse and encompass machine learning flow control, aerodynamics, flow visualization, and tomography. He is particularly focused on the development of volumetric diagnostic techniques and data assimilation methods, which are crucial for improving the accuracy and efficiency of fluid dynamics experiments. His expertise in modal analysis further supports his innovative approach to tackling complex problems in fluid dynamics. Before joining Syracuse University, Dr. Zigunov completed his Ph.D. at Florida State University in 2020, where he honed his skills in experimental fluid dynamics and data science. His academic journey began in Brazil, where he earned his B.S. from Universidade do Vale do Rio dos Sinos in 2017. This international background has equipped him with a unique perspective and a broad understanding of global engineering challenges. Dr. Zigunov is passionate about data visualization and data science, recognizing their critical roles in advancing research and technology in fluid dynamics. His work not only contributes to the academic community but also has practical implications for industries reliant on aerodynamics and fluid mechanics. Through his research, Dr. Zigunov aims to bridge the gap between theoretical models and real-world applications, fostering innovation and efficiency in engineering practices. At Syracuse University, Dr. Zigunov is committed to mentoring the next generation of engineers and researchers. He actively engages with students and colleagues, encouraging collaborative efforts that push the boundaries of current knowledge in mechanical and aerospace engineering. His dedication to education and research excellence makes him a valuable asset to the academic community and beyond.