Md Sultan Mahmud Assistant Professor of Precision Agriculture, Department of Plant Pathology Dr. Mahmud’s research program focuses on developing and applying computer vision, artificial intelligence, remote sensing, and robotics technologies to detect, identify, monitor, and manage plant diseases and biotic stresses in the field and controlled environment conditions. Specific areas of interest include, but are not limited to, the development of smartphone applications, cloud and edge computing technologies, early disease prediction models, and intelligent/robotic systems using different sensors, computer programs, and electronics for disease and pest management. The overall goal of his research program is to develop and apply cutting-edge technologies to improve and enhance the production capacity, profitability, and sustainability of diverse cropping systems. Education: Ph.D., Agricultural and Biological Engineering, Pennsylvania State University, University Park, Pennsylvania M.S., Agriculture (Engineering), Dalhousie University, Halifax, Canada B.S., Agricultural Engineering, Hajee Mohammad Danesh Science and Technology University, Bangladesh Read more about Md Sultan Mahmud
Tyson Jordan MSAI Student Education: A.B. Cognitive Science, University of Georgia (2023) B.S. Psychology (Neuroscience Concentration), University of Georgia (2023) Research Research Interests: Neural Decoding, Neuroscience, Deep Learning, Representation Learning, Human-Machine Interaction, Deepfakes Read more about Tyson Jordan
Shreyash Dinesh Patel MSAI Student Read more about Shreyash Dinesh Patel Personal Website: https://shreyashpatel2701.netlify.app
Ellemieke Van Kints MSAI Student I am a computer vision research engineer pursuing my Master’s in Artificial Intelligence, under the direction of Dr. Deepak Mishra from the Department of Geography. My thesis is focused on remote sensing and 3D vision tasks using state-of-the-art Neural Radiance Field methods. I graduated Summa Cum Laude (GPA > 3.9) from the University of Georgia in 2023, with my Bachelor's in Computer Science. I currently conduct research at the UGA Small Satellite Research Laboratory (SSRL), where I serve as Payload Software Lead for the Multiview Onboard Computational Imager (MOCI) cube satellite mission. My research involves building and refining the computer vision software onboard MOCI using GPU-accelerated parallel processing. I also work as a Distributed Spacecraft Autonomy Intern at NASA Ames Research Center, where I am currently developing a custom Neural Radiance Field pipeline for generating 3D scenes of the lunar surface from satellite imagery. Dissertation/Thesis Title: Neural Radiance Field Methods for Satellite Imagery of Polar and Arid Climates Read more about Ellemieke Van Kints Interests: computer vision, remote sensing, neural radiance fields
