Geeta Mahala

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About

Geeta Mahala is an emerging researcher specializing in Robotic Process Automation (RPA), with a focused body of work exploring the design, optimization, and future trajectory of automated systems. Her research sits at the intersection of intelligent automation and multi-objective optimization, investigating how organizations can effectively coordinate human agents, robotic agents, and intelligent agents to streamline information acquisition and decision-making processes. Mahala's most notable contributions include her work on designing optimal RPA architectures, where she examines the structural requirements that enable seamless transitions between different types of agents in automated workflows. Her 2021 paper on the future of RPA demonstrates her forward-thinking perspective on where automation technology is headed, while her 2024 multi-objective evolutionary search study applies sophisticated computational methods to solve the complex architectural trade-offs inherent in RPA system design. With citations accumulating across her publications, Mahala is establishing herself as a consistent voice in the RPA research community. Her work is particularly valuable for practitioners and researchers seeking principled, theoretically grounded approaches to implementing scalable and adaptive automation architectures in real-world organizational environments.