Ethan Herron

Experience

• Graduate Research Assistant

  Iowa State University | Ames
  Aug 2020 - Present

• Industrial AI/Generative AI Intern

  Hitachi America Ltd. | Santa Clara
  Jan 2025 - June 2025

• PhD Intern - Data Science

  Pacific Northwest National Laboratory | Richland
  May 2022 - Sep 2022

  Jun 2021 - Sep 2021

Education

• PhD, Mechanical Engineering and Electrical Engineering

  Iowa State University | Ames
  2020 - 2025

• BS, Mathematics

  Iowa State University | Ames
  2018 - 2020

Publications

• Benchmarking scientific machine-learning approaches for flow prediction around complex geometries
  Communications Engineering, 2025
  Ali Rabeh, Ethan Herron, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
• A Hierarchical Agentic Framework for Autonomous Drone-Based Visual Inspection
  Annual Conference of the PHM Society, 2025
  Ethan Herron, Xian Yeow Lee, Gregory Sin, Teresa Gonzalez Diaz, Ahmed Farahat, Chetan Gupta
• Neural PDE Solvers for Irregular Domains
  Computer-Aided Design, 2024
  Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Bella CH Yang, Kumar Saurabh, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
• Latent Diffusion Models for Structural Component Design
  Computer-Aided Design, 2024
  Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
• Deep learning-based 3D multigrid topology optimization of manufacturable designs
  Engineering Applications of Artificial Intelligence, 2023
  Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy
• Algorithmically-consistent deep learning frameworks for structural topology optimization
  Engineering Applications of Artificial Intelligence, 2021
  Jaydeep Rade, Aditya Balu, Ethan Herron, Jay P. Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
• Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
  International Conference on Machine Learning, 2021
  Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar

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