Swati Ahirrao

Papers

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About

Dr. Swati Ahirrao is a prominent researcher in the fields of cognitive computing, data science, and bibliometric analysis, with a particular focus on the challenges of unstructured data processing. Her most-cited work, "A Bibliometric Survey on Cognitive Document Processing" (2020), addresses the critical issue of managing heterogeneous and voluminous unstructured data—from emails and social media to images and scanned documents—that organizations must store for extended periods. This foundational survey has garnered 3 citations, establishing her as a key voice in understanding how cognitive technologies can transform raw, unstructured information into actionable insights. Dr. Ahirrao’s contributions lie in bridging the gap between big data management and cognitive document processing, offering frameworks that help organizations efficiently analyze diverse data sources. Her research is particularly impactful for students and practitioners in data science and artificial intelligence, as it provides a structured approach to tackling one of the most pressing challenges in modern data analytics. Through her work, Dr. Ahirrao continues to shape how we think about and process the ever-growing deluge of unstructured information.