For most of my PhD research at the University of Texas at Austin, I explored the feasibility of integrating underactuated multicopters (a special type of drone) with 3D printing to enable large-scale and fully remote additive manufacturing. My …
An increasing number of laser powder bed fusion machines use off-axis infrared cameras to improve online moni- toring and data-driven control capabilities. However, there is still a severe lack of algorithmic solutions to properly process the …
Current limitations in vertical and horizontal mobility for ground robots in 3D printing of medium to large-scale objects have recently led to the development of a 3D printing hexacopter testbed at the University of Texas at Austin. This testbed can …
3D printing using robots has garnered significant interest in manufacturing and construction in recent years. A robot's versatility paired with the design freedom of 3D printing offers promising opportunities for how parts and structures are built in …
Awardee of the Mechanical Engineering Department Award for the 2021 Graduate and Industry Networking Event by the University of Texas at Austin for outstanding research.
Building a drone from scratch is certainly not for the faint of heart. Trying to make the drone deposit material while flying is even more challenging. Here is one of my first attempts.
We present a novel unsupervised deep learning approach that utilizes an encoder-decoder architecture for detecting anomalies in sequential sensor data collected during industrial manufacturing. Our approach is designed to not only detect whether …
During my Master’s research at the University of Texas at Austin, I focused on enhancing the precision and quality of Selective Laser Sintering (SLS) through advanced data-driven control techniques. My work introduced a Predictive Iterative Learning …
Building high quality parts is still a key challenge for Selective Laser Sintering machines today due to a lack of sufficient process control. In order to improve process control, we propose a Predictive Iterative Learning Control (PILC) controller …
Pitched and secured five-figure funding from Sandia National Labs for a novel laser pre-scan process that enhances part quality in selective laser sintering (3D printing).