Aerospace Computational Engineering Group

I am a PhD student interested in model reduction. I received my BS and MS in Aerospace Engineering at Pusan National University, with a specific focus on the application of model reduction techniques in diverse contexts: design optimization, system identification, and digital twins. [web]

I am a PhD student specializing in model reduction and controls. I received my BS from the Aerospace Engineering department at Purdue University with a concentration in dynamics and controls. I have experience as a Drone software development intern at TerraDrone Corp and Robotics intern at Nokia Bell Labs. [LinkedIn] [web]

I am a senior undergraduate student in Aerospace Engineering. Before joining ACE, I worked at the Ben T. Zinn Combustion Lab, and also performed orbital mechanics research concerning hyperbolic orbits. I also performed a study concerning statistical methods and analysis in one of my internships, after which I developed an interest in computational methods. I hope to continue with a Master’s in Computational Science and Engineering or a similar field in the future.

I am a PhD student interested in nonlinear dynamical systems modeling, and scientific machine learning. I received a BS in Mechanical Engineering and Computational Modeling & Data Analytics (CMDA) from Virginia Tech. I have experience in Vibrations,  Control Systems, and Computational Data Science.

I am a master’s student in Computational Science and Engineering. I hold both a BS and an MSc in Mechanical Engineering from the Technical University of Madrid and ETH Zurich. My research interests lie in scientific machine learning and surrogate modelling. I also have experience in generative AI for architectural design and in working with finite element methods (FEM).

I am a PhD student focusing on model reduction for Bayesian inference. Before joining ACE group I received my BS in Applied and Computational Mathematics from Caltech, where I also did some work in network science.

I am a PhD student specializing in uncertainty qualification in computational science and scientific machine learning. Prior to join ACE, I received my MSc in Statistics from Oxford University and then worked as a Research Assistant in Statistics and Data Science at The University of Hong Kong. I am also excited about data science innovations for sustainability, with experience in applying data science to EV battery recycling and climate modelling.

I am a master's student specializing in machine learning, having received my BS in Computer Science from Georgia Tech. Before joining ACE, I had prior experience researching generative AI for art, as well as developing statistical approximations for naval engineering. My work is now focused on model optimization for public health.

I am an undergraduate Aerospace Engineering major and Mathematics minor. Outside of ACE, I am part of the Aerodynamics sub-team of Georgia Tech Motorsports (GTMS) where we design the aero-package for the FSAE competition. The combination of learning about PDEs in my engineering coursework and our use of CFD simulations in GTMS made me develop an interest in Computational Mathematics and Modeling.