Projects per year
Personal profile
Biography
Carrer Summary: Dr. Mehta is a an Early Career Researcher and a Founding Member of Augmented Intelligence and Multimodal Analytics (AIM) for Health Lab at Faculty of IT at Monash University. He has successfully developed machine learning and deep learning models for various medical applications, leading to their implementation in practice. His portfolio includes an award-finalist AI software for skin lesion analysis with Molemap Pty. Ltd., privacy-preserved video-based analysis of epilepsy seizures at Alfred Hospital, and real-time diagnostics of retinal diseases using fundus images with Optain Health. Prior to joining Monash University, Dr. Mehta held positions at renowned industry research labs, including Toshiba R&D Center in Japan, Panasonic R&D Center in Singapore, and IBM Research Labs in Australia.
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.
Research Track Record Dr. Mehta's work has been published in leading computer vision and machine learning venues such as Pattern Recognition, TMLR, CVPR, Machine Learning, as well as top-tier NLP venues such as ACL. Additionally, it has also been featured in top-tier medical AI conferences such as MICCAI, MIDL, IPMI, and translated as clinical studies in clinical journals such as the Journal of the European Academy of Dermatology and Venereology and Epilepsia. His notable contributions include AI tools for skin lesion diagnosis, seizure monitoring and detection, and anti-seizure drug recommendation 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.
Prizes & Awards: Dr. Mehta’s research and translation has attracted several international and nation prizes and fellowship awards including 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).
Industry Involvement: Dr. Mehta serves as a consultant Research Scientist at Optain Health, a company that has garnered over 20 million USD in funding and targets the expansive global optometry and optical dispensing market. At Optain Health, he focuses on developing advanced AI algorithms for diagnosing and managing rare ocular diseases using retinal fundus images. In collaboration with Molemap Pty. Ltd., Dr. Mehta has created an AI system for skin lesion analysis, which was recognized as a top 3 finalist for the Morgan Mansell Prize in 2023. He also collaborates closely with Seer Medical, where he contributes to the development of video-based AI technologies for the automated detection and monitoring of seizures in epilepsy patients outside of hospital settings. Dr. Mehta's extensive industry experience also includes roles at prestigious industry research labs such as Panasonic R&D Center in Singapore, IBM Research Labs in Australia, and Toshiba R&D Center in Japan.
Research interests
Medical Imaging, Digital Health, Co-design, Artificial Intelligence
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Honorary Research Fellow, Alfred Hospital
21 Mar 2021 → …
Collaborations and top research areas from the last five years
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Collaboration with Optiscan Imaging : Collaboration with Optiscan Imaging
Ge, Z. (Primary Chief Investigator (PCI)), George, Y. (Chief Investigator (CI)) & Mehta, D. (Chief Investigator (CI))
1/01/25 → 30/11/26
Project: Research
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Development of Real-Time Image Processing Solutions for an Implantable Medical Device
Ilyas, T. (Primary Chief Investigator (PCI)), Mehta, D. (Supervisor) & Ge, Z. (Supervisor)
7/10/24 → 21/01/25
Project: Research
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Adaptive transformer modelling of density function for nonparametric survival analysis
Zhang, X., Mehta, D., Hu, Y., Zhu, C., Darby, D., Yu, Z., Merlo, D., Gresle, M., van der Walt, A., Butzkueven, H. & Ge, Z., 27 Jan 2025, In: Machine Learning. 114, 2, 24 p., 31.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Multi-task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis
Mehta, D., Primiero, C., Betz-Stablein, B., Nguyen, T. D., Gal, Y., Bowling, A., Haskett, M., Sashindranath, M., Bonnington, P., Mar, V., Soyer, H. P. & Ge, Z., 2025, (Accepted/In press) In: Journal of the European Academy of Dermatology and Venereology. 13 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross-sectional comparative reader study
Oloruntoba, A. I., Asghari-Jafarabadi, M., Sashindranath, M., Ingvar, Å., Adler, N. R., Vico-Alonso, C., Niklasson, L., Caixinha, A. L., Hiscutt, E., Holmes, Z., Assersen, K. B., Adamson, S., Jegathees, T., Bertelsen, T., Velasco-Tamariz, V., Helkkula, T., Kristiansen, S., Toholka, R., Goh, M. S. & Chamberlain, A. & 7 others, , 10 Dec 2024, (Accepted/In press) In: Journal of the European Academy of Dermatology and Venereology. p. 1-9 9 p.Research output: Contribution to journal › Article › Research › peer-review
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TPMIL: Trainable Prototype enhanced multiple instance learning for whole slide image classification
Yang, L., Mehta, D., Liu, S., Mahapatra, D., Ieva Di, A. & Ge, Z., 2024, Proceedings of Medical Imaging with Deep Learning 2023. Oguz, I., Noble, J., Li, X., Styner, M., Baumgartner, C., Rusu, M., Heinmann, T., Kontos, D., Landman, B. & Dawant, B. (eds.). London UK: Proceedings of Machine Learning Research (PMLR), Vol. 227. p. 1655-1665 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile5 Citations (Scopus) -
DeepActsNet: a deep ensemble framework combining features from face, hands, and body for action recognition
Asif, U., Mehta, D., Von Cavallar, S., Tang, J. & Harrer, S., Jul 2023, In: Pattern Recognition. 139, 12 p., 109484.Research output: Contribution to journal › Article › Research › peer-review
8 Citations (Scopus)
Prizes
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DAAD German Academic Exchange Service Working Internship in Science and Engineering (WISE) Scholarship
Mehta, D. (Recipient), 5 May 2013
Prize: Prize (including medals and awards)
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Heidelberg Laureate Foundation (HLF) Top 200 Young Researchers in Computer Science and Mathematics
Mehta, D. (Recipient), 14 Apr 2023
Prize: Prize (including medals and awards)
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Morgan Mansell Prize Finalist Victoria Young Melanoma Researcher of the Year (Top 3)
Mehta, D. (Recipient), 6 Dec 2023
Prize: Prize (including medals and awards)
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Press/Media
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We should include older adults in medical AI design
5/12/24
1 Media contribution
Press/Media: Article/Feature
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The Morgan Mansell Prize: Analysing data from AI imaging
20/03/24
1 item of Media coverage
Press/Media: Article/Feature