Dr Barkhashree Kaushal is a researcher in artificial intelligence and computational methods, specialising in explainable machine learning, natural language processing, and behavioural computing. She holds a PhD in Computer Science and Technology. Her doctoral work developed an intelligent, explainable AI system for behavioural risk profiling and offender identification on digital platforms, integrating causal inference, graph-based modelling, and hybrid classification to detect, simulate and interpret complex patterns of harmful behaviour in real time, advancing interpretable, theory-grounded approaches to AI in high-stake public safety environments.

Barkhashree is a Postdoctoral Fellow on the AuSpire RMIT-PF3 project, Digital Twins for Resilient Civil Infrastructure. Her research in this role focuses on leveraging AI and computational methods to develop digital twin systems that support more effective crisis response, infrastructure resilience, and disaster management. Bringing a strong foundation in computer science and AI to a civil engineering context, she aims to demonstrate how intelligent, data-driven systems can transform civil engineering practices, contribute to tackling complex infrastructure challenges and help to build smarter, more resilient infrastructure systems.

Prior to joining this project, she worked with the Government of India on national-level initiatives applying AI and data science to public safety, digital security, and crisis response. This work was deeply interdisciplinary, allowing her to collaborate closely with legal experts, policy advisors, data scientists and law enforcement stakeholders to translate algorithmic insights into real-world decisions. She also held a faculty position at the University of Delhi where she taught AI, machine learning and information security, and supervised research projects in algorithmic ethics.