吃瓜tv

Publications

, Clifton Lei, Sala眉n Achille, Lu Huiqi Yvonne, Branson Kim, Schwab Patrick, Nigam Gaurav, Clifton David A

ACM Transactions on Computing for Healthcare Vol 6, pp. 1-24 (2025)

, Zhou Jiandong, Lu Ping, Molaei Soheila, Clifton David A

Artificial Intelligence Review Vol 57 (2024)

, Clifton Lei, Nigam Gaurav, Clifton David A

2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2025)

de Fabritiis F, Gryllias K, , Clifton D A

Proceedings of the 31th International Congress on Sound and Vibration, ICSV 2025 31th International Congress on Sound and Vibration, ICSV 2025 Proceedings of the International Congress on Sound and Vibration (2025)

, Singh Sukhdeep, Sharma Anuj

Multimedia Tools and Applications Vol 83, pp. 78433-78467 (2024)

Molaei Soheila, Niknam Ghazaleh, Ghosheh Ghadeer O, , Zare Hadi, Zhu Tingting, Pan Shirui, Clifton David A

Knowledge-Based Systems Vol 299 (2024)

Research Interests

I have over a decade of research experience in AI and machine learning, spanning both methodological development and application-led work across domains such as healthcare, manufacturing, aviation, supply chains, and handwriting recognition. This cross-domain perspective informs my current research in Causal AI and helps me work effectively with academic, clinical, and industrial collaborators.

My research focuses on Causal AI, situated at the intersection of causality, healthcare, and artificial intelligence. I draw on a blend of theory and practice to develop robust methodologies that address real-world healthcare challenges, with a particular emphasis on enabling data-driven personalised treatments.

Topics of interest include, but are not limited to:

• Personalised treatments and individualised treatment effect estimation
• Causal inference and discovery from observational data at scale
• Counterfactual reasoning for fairness, explainability, and clinical decision support
• Causal foundation models
• Causal digital twins
• Uncertainty quantification and conformal prediction
• Multimodal, federated, and continual learning
• Synthetic data generation, causal benchmarking, and evaluation
• Optimisation methods for causal and AI models
• Domain adaptation and out-of-distribution detection

Professional Service & Leadership

I actively contribute to advancing Causal AI and AI for Healthcare through research leadership, peer review, and editorial service.

• Reviewed over 200 manuscripts for more than 50 international journals and conferences, including ICML and AI in Medicine
• Associate Editor: PLOS Digital Health
• Editorial Board Member: International Journal of Artificial Intelligence in Healthcare
• Guest Editor: Special Issue on for the Frontiers in AI, Frontiers in Digital Health听补苍诲 Frontiers in Big Data journals, with full manuscript submissions by 27 May 2026.

Opportunities for Students and Collaborators

I welcome collaborations with academic, clinical (including NHS), and industry partners who share the goal of addressing real-world healthcare challenges with robust and trustworthy AI.

I also invite applications from motivated MSc and PhD students interested in causal AI, personalised treatments, and healthcare applications of machine learning.

A fully funded PhD studentship in Causal AI for Personalised Healthcare is currently available; interested candidates are encouraged to get in touch for an informal discussion.

Professional Memberships

• Association for Computing Machinery (ACM)
• IEEE & IEEE Engineering in Medicine and Biology Society (EMBS)
• EMBS Technical Committee on Biomedical and Health Informatics
• Computer Society of India (Lifetime Member)
• Indian Society for Technical Education (Lifetime Member)

Professional Activities

Guest editor

24/7/2025

Peer reviewer

12/3/2026

Peer reviewer

2026

Editorial board member

6/12/2025

Participant

5/12/2025

Peer reviewer

14/7/2025

Projects

Kumar, Vinod (Principal Investigator)

01-Jan-2025 - 30-Jan-2027