Gurman Gill
Title: Associate Professor, Sonoma State University
Research Expertise
Dr. Gill's area of research is computer vision. He is primarily interested in applying object classification and detection techniques to interdisciplinary areas. These include but are not limited to applications in GIS, Computed Tomography (CT), photomicrographs, and monitoring biodiversity.
Dr. Gill combines traditional and deep machine learning techniques in his research applications. Whereas traditional techniques allow applying hand-crafted features to specialized data and using simple classifiers such as kNN and SVM, convolutional neural network-based techniques can infer intricate/novel features from a large amount of labelled data. Together they provide a suite of tools that can be employed on a variety of inter-disciplinary topics.
Dr. Gill employs a teacher-scholar model to accomplish his research goals. Students actively participate and drive the research. They use software engineering principles such as agile project management, and version control for robust software development. In addition, they are trained in ML techniques using Jupyter Notebook and develop their applications on Notebooks or Google Colab.
Dr. Gill enjoys working with diverse student teams which learn to build upon each other strengths. Several of his students present their research using posters, and articles at various conferences that range from interdisciplinary (such as AGU) to computer science focus (such as IEEE-based).
Areas of Expertise/Keywords
- Inter-disciplinary
- Object Detection
- Object Classification
- Image Processing
- Applied Machine Learning
