About
Rajesh Vasa is an academic, innovator and entrepreneur with over two decades of experience spanning both industry and academia with a specialisation in software engineering, artificial intelligence and complex software systems design. He leads the translational research at the Applied Artificial Intelligence Initiative at Deakin University. His recent/current work spans multiple domains -- building intelligent homes, assessing clinical risk from medical data streams, improving patient care in hospitals, analysis of data from complex simulations, conversational agents to work in educational settings, and analysing data streams to improve productivity in various settings. His current research focus area is in constructing robust AI (ML Safety); Prof Vasa's research translates into economic impact in terms of improving productivity, reducing waste, increasing quality via process optimisation. His work maps to societal impact in terms of improved wellbeing (digital health), optimal use of resources (manufacturing and logistics), security (cyber), and personalised and curated education.
Employment
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Deakin University Head of Translational Research2019 - Present
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Deakin University Deputy Director2016 - 2018
Education
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Swinburne University of Technology Doctor of Philosophy? - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (92)
- Beyond Make-and-Model: Simplifying IoT Network Management with Behavioral Metaclasses Save
- Assessing the clinical deployability of AI tools for caries detection: A structured narrative synthesis and proposed framework Save
- PacketTransformer Results (Gen and Embed) Save
- Field Notes from 3 AI Case Studies Save
- Artificial Intelligence Software to Accelerate Screening for Living Systematic Reviews Save
- Mitigating malware prevalence in networks with arbitrary topologies: a Flip-It cyber game approach integrated with epidemic modeling Save
- Machine learning algorithms enhance the accuracy of radiographic diagnosis of dental caries: a comparative study Save
- Digital Home-Based Self-Monitoring System for People with Heart Failure: Protocol for Development of SmartHeart and Evaluation of Feasibility and Acceptability Save
- Deakin IoT Traffic Dataset Save
- Deakin IoT Traffic Dataset Save