Sankalp Khanna

Sankalp Khanna is a Principal Research Scientist and Team Leader of the Health Intelligence team at the CSIRO Australian e-Health Research Centre. He is also an Adjunct Associate Professor at both Queensland University of Technology and Griffith University, contributing to academic research and education in artificial intelligence and health informatics.

• Principal Research Scientist, CSIRO Australian e-Health Research Centre
• Adjunct Associate Professor, Queensland University of Technology
• Adjunct Associate Professor, Griffith University

His educational background includes:

• PhD, Griffith University, 2010
• MInfTech (Research), Griffith University, 2004
• BEngg (Electronics), Nagpur University, India, 1997

Sankalp's research is centered on applying Artificial Intelligence and Machine Learning to healthcare challenges, particularly in modeling, analyzing, predicting, and optimizing patient flow through Australian public hospitals. He develops explainable algorithms that support clinical decision-making, ensuring transparency and trust from healthcare professionals. His work has directly influenced hospital workflows and policy both in Australia and internationally.

His broader interests include Applied Artificial Intelligence, Prediction and Forecasting, Planning and Scheduling, Multi Agent Systems, Distributed Constraint Reasoning, and Decision Making and Learning under Uncertainty. Although specific publications were not detailed in the text, his research output is tracked via ORCID (0000-0001-6125-8871) and Google Scholar, indicating a strong scholarly presence in AI and health informatics.

Notable honors and professional roles include:

• Founding Fellow of the Australasian Institute of Digital Health
• Secretary of the Pacific Rim International Conference on Artificial Intelligence (PRICAI) Steering Committee

Sankalp has led significant initiatives, such as developing the algorithm for the Health Care Homes trial to identify patients at high risk of hospitalization. His work bridges advanced AI research with real-world healthcare applications, contributing to improved patient outcomes and system efficiency. He is actively engaged in both research leadership and academic collaboration through his adjunct professorships.

He leads the Health Intelligence team at CSIRO, focusing on scalable and interpretable AI solutions for health systems. His team’s work supports evidence-based policy and operational improvements in healthcare delivery.