CV

Barathi Subramanian

Computer Vision · Medical AI · Applied Machine Learning

Contact: barathi1@stanford.edu · GitHub

Appointments and Experience

Postdoctoral Scholar

Stanford University, Department of Pathology · July 2024 to Present
  • Developed end-to-end pipelines for whole-slide histopathology preprocessing, quality control, tissue classification and segmentation.
  • Worked with image and text foundation models for multimodal pathology research.
  • Created QuPath annotation and quality-assurance workflows, and curated tile-level datasets.
  • Built Python and PyTorch workflows for model evaluation and visual analytics.

Research Assistant

Kyungpook National University, South Korea · September 2020 to February 2024
  • Researched gesture recognition, industrial defect analysis, small-object detection and handwriting recognition.
  • Developed MediaPipe-based temporal gesture recognition pipelines.
  • Investigated spectral clustering and transfer learning for defect localization.
Education

Ph.D. in Computer Vision

Kyungpook National University, South Korea · 2024

Research included gesture recognition, anomaly detection and small-object detection. Best Thesis Award, 2024.

M.Sc. in Applied Mathematics with Computer Applications

Bharathiar University, India · 2015

B.Sc. in Applied Mathematics with Computer Applications

Nirmala College for Women, India · 2013
Research Projects

Multimodal Analysis in Digital Pathology

NIH, USA · July 2024 to Present

Whole-slide image preprocessing, tissue classification and segmentation, multimodal foundation models, and dataset curation.

Fabric Defect Detection and Localization

NRF, South Korea · September 2022 to February 2024

Spectral clustering, binary defect detection and transfer-learning-based localization.

Gesture Recognition

February 2022 to May 2023

Indian Sign Language and interactive applications using MediaPipe landmarks and GRU sequence models.

Lightweight Disabled Parking Sign Detection

July 2021 to December 2021

Enhanced YOLOv5 with PANet and weighted BiFPN for efficient small-object detection.

Korean Handwritten Text Recognition

December 2021 to February 2022

CNN-based text localization with Bi-LSTM-based transcription.

Real-Time Emotion Recognition System

March 2021 to February 2022

MediaPipe-based facial and body landmark analysis with emotion classification and a digital-twin prototype.

Detailed objectives, funding and technical contributions are available on the Research page.

Technical Skills

Computer Vision and Deep Learning

Vision Transformers, transfer learning, YOLO, DETR, U-Net, SegFormer, SAM, anomaly detection and temporal modeling.

Multimodal and Generative AI

Vision-language models, transformer architectures, attention mechanisms and knowledge distillation.

Research Engineering

Python, PyTorch, TensorFlow, QuPath, MLflow, reproducible evaluation and multi-GPU training.

MLOps and Infrastructure

Docker, Streamlit, Git, GitHub Actions, AWS and GCP.

Publications and Professional Service

Publications

Browse peer-reviewed journal papers, conference publications and other research outputs.

Academic and Editorial Service

Associate Editor, IEEE Journal of Biomedical and Health Informatics; conference and journal reviewing; co-organizer and track chair for research events.

Awards and Honors

Selected Honors

  • Best Oral Presentation Runner-Up, Women in MICCAI, 2026.
  • Charles B. Carrington Memorial Award for Outstanding Poster Presentation, Stanford University, 2026.
  • Best Thesis Award, Kyungpook National University, 2024.
  • Best Paper Awards at multiple conferences, 2021 to 2022.

Memberships

IEEE and ACM.