ARM in FARM

Faiza Akram is a Postdoctoral Research Associate at Mississippi State University, where she focuses on autonomous agricultural systems, real-time sensing, and intelligent machine control. Her research integrates computer vision, embedded systems, and edge computing to develop robust and adaptive automation solutions for complex field environments. She currently leads the design and implementation of a multi-sensor control framework for field operations.
Faiza earned her Ph.D. in Electrical and Computer Engineering (Computing Systems) from Mississippi State University in 2025. Her doctoral research centered on the optimization, reliability, and scalability of distributed and edge computing systems. Specifically, she developed dynamic task scheduling and resource allocation strategies for heterogeneous computing environments to enhance system efficiency, reliability, and Quality of Service (QoS). Her award-winning work on data-priority–aware task scheduling for stream processing at the edge demonstrated novel methods for improving fairness and robustness in real-time distributed infrastructures.
Her broader research interests span secure and privacy-preserving distributed computing, AI-driven automation, and precision agriculture. She is particularly interested in leveraging machine learning, computer vision, and cyber-physical system integration to enable intelligent, data-centric decision-making for next-generation autonomous and smart farming technologies. Faiza holds an M.S. in Computer Science and has extensive experience in robotics, perception systems, and software–hardware co-design. Through her work, she aims to bridge the gap between intelligent computing architectures and field-scale automation, advancing resilient, efficient, and sustainable agricultural technologies.