Biography
Dr. Vinod Kumar Chauhan is a postdoctoral research fellow in the Institute of Biomedical Engineering at the University of Oxford UK. His primary research interests lie in Causal Machine Learning with applications to healthcare. Additionally, he is broadly interested in machine learning for healthcare. Prior to his current role, he served as a postdoctoral research fellow at the University of Cambridge UK, and completed his PhD at the Panjab University Chandigarh, India.
Most Recent Publications
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
A brief review of hypernetworks in deep learning
A brief review of hypernetworks in deep learning
Trolley Optimisation for Loading Printed Circuit Board Components
Trolley Optimisation for Loading Printed Circuit Board Components
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Research Interests
Causal Inference and Machine Learning for Healthcare
Current Projects
- Postoperative prediction of Atrial Fibrillation for Heart Patients
- Address Sample Selection Bias in Machine Learning
- Individualised Treatment Effects Estimation
Research Groups
Related Academics
Most Recent Publications
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
A brief review of hypernetworks in deep learning
A brief review of hypernetworks in deep learning
Trolley Optimisation for Loading Printed Circuit Board Components
Trolley Optimisation for Loading Printed Circuit Board Components
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Awards and Prizes
2021 Institute for Manufacturing Postdoctoral Award for Research Excellence, at University of Cambridge UK.
Travel Grant Award to present paper in Asian Conference on Machine Learning 2017
Most Recent Publications
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
A brief review of hypernetworks in deep learning
A brief review of hypernetworks in deep learning
Trolley Optimisation for Loading Printed Circuit Board Components
Trolley Optimisation for Loading Printed Circuit Board Components
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Publications
1. Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer Ghosheh, Soheila Molaei, David A. Clifton (2024) Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2-4, 2024, Valencia, Spain, preprint (to present).
2. Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu and David Clifton (2023) Adversarial De-confounding in Individualised Treatment Effects Estimation, The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 206:837-849, 2023, paper, code, preprint, video.
Most Recent Publications
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
A brief review of hypernetworks in deep learning
A brief review of hypernetworks in deep learning
Trolley Optimisation for Loading Printed Circuit Board Components
Trolley Optimisation for Loading Printed Circuit Board Components
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Talks
1. Keynote Speaker, “Prediction of Post-operative Atrial Fibrillation in Patients undergoing Heart Surgery”, Artificial Intelligence (AI) and Digital Transformation in Various Academic Disciplines & Teacher Training, 15th Feb 2024, Government College RaipurRani, India.
2. Keynote Speaker, “HyperNetworks: A new Approach for Training and Designing Neural Networks”, International Conference on Artificial Intelligence and Machine Learning, Department of Computer Science and Applications, Panjab University, Chandigarh, November 28-29, 2023.
3. Invited talk, “Dynamic Inter-Treatment Information Sharing for Individualised Treatment Effects Estimation”, IISER Pune, India, October 04, 2023, link
4. A 2019 Naked Scientists’ Podcast on Scaffolds for Skin Tissue played live on BBC Cambridgeshire
Most Recent Publications
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
A brief review of hypernetworks in deep learning
A brief review of hypernetworks in deep learning
Trolley Optimisation for Loading Printed Circuit Board Components
Trolley Optimisation for Loading Printed Circuit Board Components
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Other roles
Member of departmental EDI committee
Most Recent Publications
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
A brief review of hypernetworks in deep learning
A brief review of hypernetworks in deep learning
Trolley Optimisation for Loading Printed Circuit Board Components
Trolley Optimisation for Loading Printed Circuit Board Components
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study
