Anshul Mittal
About Anshul Mittal
Anshul Mittal is a Principal Engineer at Convergent Science, with a background in Mechanical Engineering from the Indian Institute of Technology, Roorkee, and Case Western Reserve University. He has developed innovative computational fluid dynamics models and has extensive experience in research and mentorship.
Work at Convergent Science
Anshul Mittal has been serving as a Principal Engineer at Convergent Science since 2016. In this role, he focuses on advancing computational fluid dynamics (CFD) techniques and applications. His expertise contributes to the development of innovative solutions in the field, particularly in the area of wind farm simulations. His work has enabled significant improvements in simulation efficiency and accuracy.
Education and Expertise
Anshul Mittal holds a Bachelor of Technology in Mechanical Engineering from the Indian Institute of Technology, Roorkee, where he studied from 2003 to 2007. He furthered his education by obtaining a Master of Science in Mechanical Engineering from Case Western Reserve University from 2008 to 2010. He completed his PhD in Computational Engineering at The University of Tennessee at Chattanooga from 2010 to 2015. His academic background provides a strong foundation for his work in CFD and optimization algorithms.
Background
Anshul Mittal began his career as a Graduate Engineer Trainee at Alstom Power in 2007. He later worked as an Undergraduate Research Assistant at the Indian Institute of Technology, Roorkee, from 2005 to 2007. After completing his master's degree, he served as a Consultant at Case Western Reserve University from 2008 to 2010 and as a Graduate Research Assistant at SimCenter: University of Tennessee at Chattanooga from 2010 to 2015.
Achievements
Anshul Mittal developed a new wake model known as Parabolic Navier-Stokes, which significantly reduces runtime for simulations, allowing comprehensive wind farm analyses on standard desktop computers. He also improved the Actuator Line model within an in-house parallel CFD code. His research includes optimizing global optimization algorithms and exploring the use of POD and DMD methods for modeling wake interactions in wind farms. He has successfully secured $350,000 in funding through proposals to NSF and THEC.
Mentorship and Teaching
Throughout his career, Anshul Mittal has mentored high school, undergraduate, and graduate students, providing guidance on various projects. His role in education extends beyond his formal positions, as he actively supports the development of the next generation of engineers through mentorship.