CV
Jia-Hao (Howard) He
Summary
Computational imaging researcher specializing in synchrotron X-ray tomography, 3D deep learning, and HPC-based reconstruction pipelines. Postdoctoral Research Associate at the University of Illinois Urbana-Champaign.
Education
- Ph.D., Agricultural and Biosystems Engineering; Minor in Applied Mathematics2025Iowa State University
- Master of Engineering, Agricultural and Biosystems Engineering; Minor in Applied Mathematics2023Iowa State University
- Master of Science, Engineering Science and Ocean Engineering2017National Taiwan University
- Bachelor of Science, Systems and Naval Mechatronic Engineering2015National Cheng Kung University
Work Experience
- Postdoctoral Research Associate2025-01-01 -Soils Laboratory, University of Illinois Urbana-ChampaignSynchrotron micro-XCT, deep learning segmentation, HPC pipelines for soil science.
- Recurring synchrotron micro-XCT campaigns at APS 2-BM beamline; novel dual-energy contrast-enhanced approach with iodine staining
- Transformer-based 3D supervised segmentation for pore network analysis and organic matter mapping
- HPC reconstruction/inference pipelines on ALCF Polaris and NERSC Perlmutter with tomocupy
- Noise2Inverse self-supervised denoising: PSNR +4.38 dB, SSIM +0.015 on APS 2-BM soil XCT data
- Digital Agriculture Research Assistant2023-11-01 - 2025-01-01Soil Machine Dynamics Laboratory, Iowa State UniversityAI-enabled tillage decision systems and ML models for soil characterization.
- Designed site-specific tillage decision systems with sensitivity analysis and machine learning
- Developed ML models to predict tillage performance and crop yield from multi-sensor datasets
- GIS for Agriculture Summer Research Intern2024-05-01 - 2025-01-01Center for GIS and RCHSS, Academia SinicaAI workflows for rice growth monitoring using satellite data and Google Earth Engine.
- Developed NDVI-based deep learning pipelines for rice yield prediction with Sentinel-2
- Fused multimodal remote sensing signals for crop monitoring under extreme conditions
- Teaching Assistant2021-08-01 - 2024-05-01Department of Mathematics, Iowa State UniversityInstructed Introduction to Data Science, Calculus 1–3, and general physics.
- Robotic Integration and Computer Vision Assistant2022-05-01 - 2023-08-01Agricultural Automation and Robotics Laboratory, Iowa State UniversityDeep learning for corn feature extraction and gradient-based algorithm optimization.
- Structural Analysis Research Assistant2015-09-01 - 2021-01-01Advanced Structures and Materials Laboratory, National Taiwan UniversityMultiphysics FEM simulations and vibrational sensors for structural damage detection.
Skills
ML & Deep Learning
- PyTorch
- Transformer architectures
- CNNs
- 3D segmentation
- SVM
- Random forest
- XGBoost
- AdaBoost
Computational Imaging
- Synchrotron XCT reconstruction
- Tomographic algorithms
- FFT-based frequency-domain transforms
- Pore network analysis
HPC & Scientific Programming
- ALCF Polaris
- NERSC Perlmutter
- GPU-accelerated pipelines
- tomocupy
Multimodal Imaging
- Dual-energy micro-CT
- Iodine-contrast staining
- Infrared thermography
- SEM
- Optical microscopy
- Remote sensing
Software & Tools
- Python
- MATLAB
- ImageJ
- 3D Slicer
- COMSOL
- SolidWorks
- Google Earth Engine
- Git
- Globus
Publications
- Comparison of automated chemical-guided segmentation and human annotation of soil organic matter in X-ray microcomputed tomography imaging in contrasted soil types2026GeodermaHe, Jia Hao, Andrew J Margenot, Yuhei Nakayama, Viktor Nikitin, Y Zou Finfrock, Odeta Qafoku, Tamas Varga, Neslihan Taş, Elizabeth C Gillispie, Amisha Poret Peterson, et al. Geoderma 469, p. 117769.
- Tillage-induced soil feature extraction and multi-sensors fusion for tillage system classification2026Biosystems EngineeringJia-Hao He, Steven K Mickelson, Jerry L Hatfield, and Mehari Z Tekeste. Biosystems Engineering 261, p. 104329.
- Development of a Method for Soil Tilth Quality Evaluation from Crumbling Roller Baskets Using Deep Machine Learning Models2024SensorsTekeste, Mehari Z, Junxian Guo, Desale Habtezgi, Jia-Hao He, and Marcin Waz. Sensors 24.11, p. 3379.
- Anderson acceleration of gradient methods with energy for optimization problems2023Communications on Applied Mathematics and ComputationLiu, Hailiang, Jia-Hao He, and Xuping Tian. Communications on Applied Mathematics and Computation 6, pp. 1299–1318.
- Next-Generation High-Performance Biobased Naphthalate-Modified PET for Sustainable Food Packaging Applications2022
- Identification of multiple local damage to an offshore jacket substructure using a novel strain expansion–reduction approach2020Applied SciencesJia-Hao He, Ding-Peng Liu, Cheng-Hsien Chung, and Hsin-Haou Huang. Applied Sciences 10.22, p. 7991.
- Infrared thermography measurement for vibration-based structural health monitoring in low-visibility harsh environments2020SensorsJia-Hao He, Ding-Peng Liu, Cheng-Hsien Chung, and Hsin-Haou Huang. Sensors 20.24, p. 7067.
- Complete vibrational bandgap in thin elastic metamaterial plates with periodically slot-embedded local resonators2018Archive of Applied MechanicsJia-Hao He and Hsin-Haou Huang. Archive of Applied Mechanics 88.10, pp. 1263–1274.
- Multiband switching realized by a bidirectionally tunable and multiconfiguration acoustic diode2018
- Tunable acoustic wave propagation through planar auxetic metamaterial2018Journal of MechanicsJia-Hao He and Hsin-Haou Huang. Journal of Mechanics 34.2, pp. 113–122.
Teaching
- Introduction to Data Science2021Department of Mathematics, Iowa State UniversityRole: Teaching AssistantInstructed and tutored undergraduate students.
- Calculus 1–3 and General Physics2021Department of Mathematics, Iowa State UniversityRole: Teaching AssistantInstructed and tutored undergraduate students.