Visiting Scientist
RESEARCH
Since the beginning of my career, I have placed a strong emphasis on solving real-world problems with artificial intelligence (AI). I specialize in utilizing machine learning (ML) and deep learning (DL) techniques to develop AI solutions that are widely available, affordable, and accessible to people. I started my research career by solving image-forensics-related problems on social media. However, inspired by the effects of climate change, I started working concurrently on a variety of agricultural issues.
Along with the software development of CLASSIM, the graphical user interface for crop and soil simulation models, database management, and other suitable agro-climatology modeling tools, my research emphasizes multidisciplinary fields. Some of the topics I am currently working on include- applying ML and DL-based Internet-of-Agricultural-Things (IoAT) frameworks for agricultural research issues; the software and hardware continuum for application-specific AI; crop yield prediction using AI and ML; and the effects of natural events on crop yield.
My research interests also include plant disease and crop damage detection using computer vision, as well as water stress prediction for plants. As an AI researcher, I always dive into state-of-the-art AI and Integrate the models into applications. I also actively work on various facial authentication-related projects.
