I’m Tanisha Khurana, a graduate student in my final year of masters in Electrical Engineering at NC State University. I am specializing in signal processing and computational intelligence.
I’m currently working as a Graduate Research Assistant for the Department of Crop and Soil Sciences for Precision Sustainable Agriculture under Dr. Chris Reberg-Horton. My thesis is on Multi-task learning and Domain Adaptation techniques for Semantic Segmentation & Biomass Composition Estimation.
I have also worked on the developmental process of PlantMap-3D and researched under Dr. Edgar Lobaton at Active Robotics and Sensing Lab on Foraminifera Segmentation
With over 4 years of experience in Computer Vision and Machine Learning, I possess a strong track record of leading teams and managing entire projects during my tenure at Wobot.ai and Intello Labs. This experience has allowed me to develop a deep understanding of computer vision and machine learning, which I have successfully applied to various projects, including object detection, image segmentation, video analysis, and facial recognition.
I am currently based in Raleigh, North Carolina and I’m always looking for opportunities to work with passionate people on shared goals, whether it be creative, personal or professional projects!