1. Mohammad Reza Shaeri (Advanced Cooling Technologies, Inc.), Heat Sink Optimization using Machine Learning Approach.
2. Akash Dhruv, Aparna Chandramowlishwaran, Yoonjin Won, Anshu Dubey (Argonne National Laboratory, Lemont, IL), A Computational Pipeline for Simulation and Analysis of Multiphase Fluid Flow Problems.
3. Danyal Rehman, John H. Lienhard (Massachusetts Institute of Technology (MIT)), Physics-Constrained Neural Differential Equations for Learning Multi-Ionic Transport.
4. UngJin Na, MoonHee Choi, HangJin Jo (Pohang University of Science and Technology), Critical Heat Flux Diagnosis Using Conditional Generative Adversarial Networks.
5. Youngjoon Suh, Sang Hyeon Chang, Yoonjin Won (University of California, Irvine), Decoding Two-Phase Visual Scenes Using Machine Learning.
6. Chuanning Zhao, Jonathan Tammer Eweis-Labolle, Ramin Bonstanabad, Yoonjin Won (University of California, Irvine), Multi-Fidelity Multi-Objective Inverse Design For Thermofluidic Applications.
7. Aparna Chandramowlishwaran, Yoonjin Won (University of California, Irvine), Scalable Scientific Machine Learning for Two-Phase Heat Transfer.
8. Amirmohammad Jahanbakhsh, Hadi Ghasemi (University of Houston), Predictive Al Platform for Thin-Film Evaporation in Hierarchical Structures.
9. Siavash Khodakarami, Pouya Kabirzadeh, Nenad Miljkovic (University of Illinois at Urbana Champaign), Smart Characterization of Condensation: Application of Machine Learning.
10. Soonwook Kim, Hyeongkeun Kim, William King, Nenad Miljkovic (University of Illinois at Urbana Champaign), Design of Phase Change Material Heat Sinks Using a Gaussian Process Optimizer.
11. Hyeongkeun Kim, William King (University of Illinois at Urbana Champaign), Experimental Data-Driven Modeling and Design of Additively Manufactured Zero-Stiffness Elastomer Springs.
12. Robert Stavins, Hyeongkeun Kim, William King (University of Illinois at Urbana Champaign), Machine Learning To Predict Performance Of Additively Manufactured 3d Bellows Pumps.
13. Miles Bimrose, William King (University of Illinois at Urbana Champaign), Detecting Hidden Defects in Additively Manufactured Parts using X-Ray Computed Tomography, Computer Vision, and Synthetic Data.
14. Blake Naccarato, Kwang Jin Kim (University of Nevada, Las Vegas), Application of Data Science Best Practices to Engineering Data Processes.
15. Sadaf Mehdi, Gisuk Hwang (Wichita State University), Accurate and Robust Prediction of Enhanced Pool Boiling Heat Transfer on Micro-structured Surfaces using Probabilistic Machine Learning Models.
16. Mohammad Nabian (NVIDIA), NVIDIA Modulus: An AI Framework for Physics-ML
17. A. Saini, V. Jukanti, B. Juneja and V. Srinivasan (University of Minnesota), A Machine Learning-Based Descriptions of the Regimes of Pool Boiling, And Accompanying Mechanistic Theory