Aditya Ghose

Papers

Total Citations

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About

Aditya Ghose is a researcher whose work centers on the design, optimization, and future trajectories of Robotic Process Automation (RPA), with a particular focus on building intelligent, adaptive systems that bridge human and automated decision-making. His most cited contribution, "Resource-Based Adaptive Robotic Process Automation" (2020, 8 citations), introduced frameworks for dynamically allocating automation resources in response to changing operational conditions. Complementing this, his work on "Designing Optimal Robotic Process Automation Architectures" (2020, 5 citations) laid foundational principles for structuring RPA deployments effectively. Ghose has also engaged with broader strategic questions about the field's direction, as evidenced by "The Future of Robotic Process Automation" (2021, 5 citations). His more recent research applies multi-objective evolutionary search techniques to architect systems that seamlessly coordinate human agents, robotic agents, and intelligent agents — tackling the complex challenge of optimizing both information acquisition and decision-making tasks simultaneously. Collectively, his body of work reflects a commitment to making automation systems not only more efficient but also more intelligently adaptive, positioning him as a meaningful contributor to the rapidly evolving intersection of AI and process automation.