Meenu Ajith

Postdoctoral Research Associate

TReNDS Center & Georgia State University

I am a passionate researcher with a Ph.D. in Electrical Engineering from the University of New Mexico, specializing in deep learning, computer vision, image processing, and time series analysis. With over 7 years of dedicated experience, my work revolves around leveraging cutting-edge deep learning architectures, using Keras, TensorFlow, and PyTorch, to tackle complex challenges such as segmentation, super-resolution, object detection, classification, and forecasting. I earned my M.S. in Electrical Engineering from the University of New Mexico in 2017 and a bachelor’s degree in Electronics and Communication Engineering from Amrita School of Engineering in 2015. My commitment to advancing the field is underscored by my numerous publications in international journals.