Dr. Deval Mehta
Details
Department: School of Computing Technologies
Campus: City Campus Australia
deval.mehta@rmit.edu.au
Open to
- Masters Research or PhD student supervision
- Industry Projects
- Collaborative projects
About
Dr. Mehta is a Senior Lecturer in Artificial Intelligence and Digital Health at the School of Computing Technologies at RMIT University and also an Adjunct Senior Research Fellow at the Department of Data Science & AI at Monash University. Before joining RMIT, he was a Founding Member of the Augmented Intelligence and Multimodal Analytics (AIM) for Health Lab at Faculty of IT at Monash University. He has developed foundation models, agentic and multimodal AI systems that are trustworthy and explainable for different healthcare applications including neurological disorders, dermatology, and ophthalmology. He has also held research roles in industry organisations at IBM Research Australia and Panasonic R&D Center Singapore.
Funding and Collaborations Dr. Mehta has attracted AUD $1.95M+ in competitive research funding as a leading Chief Investigator, including a National Imaging Facility Infrastructure Grant, Digital Health CRC-P funding, NVIDIA Academic AI for Science Grant, National Industry PhD Program, and Australian Academy of Science Fellowship and Travel Grants. He has established and leads major collaborative programs with leading clinicians and institutions, including Alfred Health, Epilepsy Foundation, IIT Bombay and Koita Centre of Digital Health in India, and multiple industry partners including Aervision Pty. Ltd., Molemap Pty. Ltd.
Prizes & Awards Dr. Mehta’s research and translation has attracted several international and nation prizes and fellowship awards including the Australian Academy of Science (AAS) Australia-India Strategic Research Fund (AISRF) Early Career Fellowship 2026; Top 3 Finalist for the Morgan Mansell Prize (Victorian Young Melanoma Researcher) 2023; One of the top 200 computer science researchers across the world to attend the 10th Heidelberg Laureate Forum (HLF), 2023; The sole recipient of the travel grant to the 10th HLF from Australian Academy of Science (AAS), 2023; One of the 50 TOSHIBA Global Fellow all over the world by the TOSHIBA R&D in Japan, 2018; One of the 90 undergraduate students (out of ~ 1 million) for the DAAD-WISE German Academic Exchange Working Internship in Science and Engineering Fellowship, 2013 at Technical University of Munich (TUM).
Research fields
- 4602 Artificial intelligence
- 460304 Computer vision
- 460208 Natural language processing
- 460307 Multimodal analysis and synthesis
- 420311 Health systems
UN sustainable development goals
- 10 Reduced Inequalities
- 3 Good Health and Well Being
- 9 Industry, Innovation and Infrastructure
Academic positions
- Adjunct Senior Research Fellow
- Monash University
- Data Science & Artificial Intelligence
- Australia
- 1 Jun 2026 – Present
- Research Fellow
- Monash University
- Data Science & Artificial Intelligence
- Melbourne, Australia
- 17 May 2021 – 17 May 2026
Non-academic positions
- Honorary Research Fellow
- Alfred Health
- Melbourne, Australia
- 22 Mar 2022 – Present
- Research Scientist
- IBM Research - Australia
- Digital Health Team
- Melbourne, Australia
- 4 Feb 2020 – 31 Mar 2021
- Senior R&D Engineer
- Panasonic R&D Center Singapore
- Image Processing & 3D Team
- Singapore, Singapore
- 4 Jul 2018 – 5 Nov 2019
Research interests
Dr. Mehta leads interdisciplinary research at the intersection of artificial intelligence, LLM/AI Agents, computer-aided diagnosis and disease management, digital health, and co-design. His work harnesses advanced artificial intelligence technologies to analyze large-scale, multi-modality medical data, including imaging, biomedical signals, medical records, genomics, and reports. His research models clinicians' expertise for tasks such as diagnosis and disease management, focusing on conditions related to ophthalmology, dermatology, and neurodegenerative diseases like epilepsy, Parkinson's, and multiple sclerosis. Importantly, he designs these solutions in close collaboration with the clinicians and the affected health community and organisations.
Track Record Dr. Mehta's work has been published in leading computer vision and machine learning venues such as Pattern Recognition,IJCAI, TMLR, CVPR, Machine Learning, as well as top-tier NLP venues such as ACL, EMNLP. Additionally, it has also been featured in top-tier medical AI conferences and journals such as MICCAI, MIDL, IPMI, IEEE JBHI and translated as clinical studies in clinical journals such as the Journal of the European Academy of Dermatology and Venereology, Epilepsia, Sleep Medicine, American Journal of Neuroradiology. His notable contributions include AI tools for skin lesion diagnosis, seizure monitoring and detection, and anti-seizure drug recommendation and agentic AI system for epilepsy patients. These works contribute to both advancing AI research and informing the clinical community on the practical application of medical AI to address key translational challenges.
