Work in Progress
- Fourier Neural Operators (FNO) for hydrological modelling
- A quantile regression based deep learning hybridization of hydrological model for modelling extreme flows
Journal Publications
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DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling. Environmental Modelling & Software, 169, 105831.
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Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks. Environmental Modelling & Software (2023): 105654.
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Bayesian neuroevolution using distributed swarm optimization and tempered MCMC. Applied Soft Computing (2022): 109528.
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Surrogate-assisted Bayesian inversion for landscape and basin evolution models. Geoscientific Model Development Discussions, 1-28.
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Surrogate-assisted parallel tempering for Bayesian neural learning. Engineering Applications of Artificial Intelligence, 94, 103700.
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Bayesian neural multi-source transfer learning. Neurocomputing, 378, 54-64.
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Conference Presentations
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Teleoperation of a humanoid robot with motion imitation and legged locomotion. In 2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 375-379). IEEE.
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Dynamic lateral balance of humanoid robots on unstable surfaces. In 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) (pp. 1-6). IEEE.
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Acknowledged Work
- Langevin-gradient parallel tempering for Bayesian neural learning. Neurocomputing 359 (2019): 315-326.
[Publisher Page, PDF]