I am a mechanical engineering graduate student at the University of Arkansas. I am a graduate reseach assistant and part of the Nano Energy and Data Driven Discovery Lab. My research covers using machine learning models for analysizing cooling data obtained by experiments primarly in our lab. This includes pool boiling high speed imaging data, acoustic data, etc.
The best way to contact me is through one of my emails:
Two-phase cooling allows for higher heat dissipation compared to single phase methods. However, it is bounded by a pratical limit known as the critical heat flux. Nonintrusive monitors This project utlilizes sound recorded from a hydrophone during pool boiling experiments with machine learning models to predict heat flux. For more information, check out the paper here.
For my final project for computer vision, we used openpose to annotate videos with the pose estimations. We also used media pipe and Arduino to make a robot that mimics arm and head movements in real time. For more information, check out the final report here.
For my final project for my intro to deep learning class, we used (based on this paper by Wei et. al.) to create 3D surface reconstruction of objects just from images in different perspectives. We used this to create a model of a razorback and printed off the final result. For more information, check out the final report here.
Over the summer in 2022, I participated in the Arkansas Summer Research Institution. This is a 2 week program for learning data science techniques. For the final presentation, I used material property data from Jarvis. I used features from crystalline structures and machine learning regression models to predict material properties. Check out the final presentation here.
Pool boiling regimes are marked by different visual characteristics. Computer vision techniques have been used to classify the regimes. This work utilizes supervised and unsupervised models to classify and group images taken during pool boiling experiments. Check out the conference paper here.
For my capstone project in undergrad, we designed and built a low cost dip coater. To read more about this check out the published paper here.
I attended the SHTC in Washington DC. I presented work on heat flux regression models utalizing microphone and hydrophone sensors.
I attended the Thermal AI workshop in Irvine, California. I presented a poster on boiling acoustic regression models. The poster can be found here.
I attended the dart conference in Little Rock, Arkansas. I presented a poster on boiling acoustic regression models. The poster can be found here.
I attended the ASEE midwest conference in Tulsa, Oklahoma. I presented on integrating supercomputing into engineering curriculum. The presentation can be found here.
I attended the SHTC in Philldelphia, Pennsilvania. I presented on pool boiling regime classification machine learning models. The presentation can be found here.
I attended the dart conference in Little Rock, Arkansas. I presented a poster on boiling image and acoustic data fusion models.
I enjoy hiking around different areas in Arkansas on the weekends.
When I get the chance, I love to sew. Pictured here is my second quilt I've ever finished and a dress I made. I also make pillows, clothes, etc. I am always on the hunt for well priced fabric.
I am always down to learn and play a board game.
I love looking through flea market booths finding interesting finds.
I recently build my first PC. Through the process, I learned alot about the different compents of the computer. There are a few things I would change and probably will when I get the change but none the less it's been a great computer, perfect for playing the video games I play and programming projects.
Minecraft is my go to game. I also enjoy playing Halo, We were here forever, etc. Every rainy day calls for pc gaming.
To find a more recent list of publications check out my Google Scholar.