CV

Work Experience

• Ph.D. Researcher / Graduate Research Assistant, University of Oklahoma, Norman, OK (Aug 2019 – Dec 2025)
  • Advanced Computer Vision & Image Algorithms
  • Advisor: Samuel Cheng
  • Achievements:
    • Developed and optimized advanced image processing and computer vision algorithms (LVLMs + SAM) for high-precision zero-shot image segmentation, achieving a 0.95 Dice score
    • Modified non-iterative cluster routing to replace traditional routing-by-agreement, optimizing memory and computing efficiency, achieving SOTA 1.46% error on benchmark datasets
    • Trained complex deep learning models on high-performance computing resources, scaling distributed workloads across Linux supercomputing clusters using SLURM
• Data Scientist Intern & Extended Part-Time, Promaxo Inc., Oakland, CA (May 2022 – May 2023)
  • End-to-end image processing and production deployment for real-time clinical procedures
  • Achievements:
    • Led end-to-end development and deployment of 3D medical image segmentation models for needle guidance and real-time clinical procedures on GCP cloud
    • Automated image registration pipelines across high-field and low-field MRI workflows, achieving a 60% reduction in registration latency and 96% segmentation accuracy
    • Deployed automated serverless GCP pipelines (dynamic instance provisioning, model weighting, inference) into core software across clinical sites
• Analytics Developer Intern, TIBCO Software Inc., Tulsa, OK (May 2020 – Aug 2020)
  • Achievements:
    • Engineered 15 real-time stream processing and signal analysis operators in Python and Java for high-throughput data processing
    • Contributed to “Dynamic Learning” for adapting models to data distribution shifts
• ECAD / Hardware Engineer, ICDREC & Enterprise Hardware Companies, Vietnam (2012 – 2016)
  • Achievements:
    • Designed multi-layer high-speed, high-density PCBs up to 30 layers for 3 GHz enterprise hardware

Education

• Ph.D. in Machine Learning and Computer Vision, University of Oklahoma, USA (Aug 2019 – Dec 2025)
  • Electrical & Computer Engineering Department
  • GPA: 3.88/4.0
• M.S. in Electrical & Computer Engineering, University of Oklahoma, USA (Aug 2016 – Aug 2019)

Publications

Prototype-Guided Zero-Shot Medical Image Segmentation with Large Vision-Language Models Permalink

Pham, H., & Cheng, S. (2025). "Prototype-Guided Zero-Shot Medical Image Segmentation with Large Vision-Language Models." Applied Sciences, 15(21), 11441. https://doi.org/10.3390/app152111441

Non-Iterative Cluster Routing: Analysis and Implementation Strategies Permalink

Pham, H., & Cheng, S. (2024). "Non-Iterative Cluster Routing: Analysis and Implementation Strategies." Applied Sciences, 14(5), 1706. https://doi.org/10.3390/app14051706

Enhancing Semantic Segmentation through Reinforced Active Learning: Combating Dataset Imbalances and Bolstering Annotation Efficiency Permalink

Han, D., Pham, H., & Cheng, S. (2024). "Enhancing Semantic Segmentation through Reinforced Active Learning: Combating Dataset Imbalances and Bolstering Annotation Efficiency." Journal of Electronic & Information Systems, 5(2), 45–60. https://doi.org/10.30564/jeis.v5i2.6063

Deep learning-based rectum segmentation on low-field prostate MRI to assist image-guided biopsy Permalink

Pham, H., Le, D. B. T., Sadinski, M., Narayanan, R., Nacev, A., & Zheng, B. (2023). "Deep learning-based rectum segmentation on low-field prostate MRI to assist image-guided biopsy." In Proceedings of SPIE, Vol. 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling. https://doi.org/10.1117/12.2654511

Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients Permalink

Pham, H., Jones, M., Gai, T., Islam, W., Danala, G., & Zheng, B. (2022). "Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients." In Proceedings of SPIE, Vol. 12033, Medical Imaging 2022: Computer-Aided Diagnosis. https://doi.org/10.1117/12.2611788

Teaching

Microcontroller

Linear Algebra

Circuit Lab

Skills

• Computer Vision & Algorithms
  • Image Processing
  • Pattern Recognition & Feature Extraction
  • Image Segmentation
  • Computational Imaging
• Machine Learning & Frameworks
  • PyTorch
  • TensorFlow
  • SAM
  • Vision-Language Models
  • CNNs
  • Scikit-Learn
• Programming & Tools
  • Python
  • C/C++
  • Linux
  • SLURM
  • Git
  • Google Cloud Platform
  • OpenCV
  • 3D Slicer
  • ANSYS HFSS