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Hey there! I'm Dibakar…

About me. I'm a machine learning enthusiast pursing my Ph.D. with an aim to develop transformative frameworks for accelerating solutions in solving engineering systems. I'm interested in Surrogate modeling, Generative AI, Deep Learning, Reinforcement learning, Model Predictive Controls and Controls in general. I'm passionate about understanding the fundamental question of machine learning and deep learning, as well as using ML algorithms and data-driven techniques to solve real-world problems.

Latest News!

Secured a shared 3rd position in the 2025 NASA and DNV Challenge on Optimization under Uncertainty. Diploma

Secured a shared 3rd position in the 2025 NASA and DNV Challenge on Optimization under Uncertainty. Diploma

Secured a shared 3rd position in the 2025 NASA and DNV Challenge on Optimization under Uncertainty. Diploma

Presented at EMI 2025 on "Learning Hidden Physics and System Parameters with Deep Operator Networks". Slides

Presented at EMI 2025 on "Learning Hidden Physics and System Parameters with Deep Operator Networks". Slides

Presented at EMI 2025 on "Learning Hidden Physics and System Parameters with Deep Operator Networks". Slides

Presented at the MACH 2025 conference on two topics: Real time inference of defects using Neural Operators and Scalable multi-GPU training strategy of Neural Operators. Slides

Presented at the MACH 2025 conference on two topics: Real time inference of defects using Neural Operators and Scalable multi-GPU training strategy of Neural Operators. Slides

Presented at the MACH 2025 conference on two topics: Real time inference of defects using Neural Operators and Scalable multi-GPU training strategy of Neural Operators. Slides

Presented at the High-Performance Computing Symposium 2025 (JHU) on "Scalable Neural Operator Training for High-Dimensional PDEs". Poster

Presented at the High-Performance Computing Symposium 2025 (JHU) on "Scalable Neural Operator Training for High-Dimensional PDEs". Poster

Presented at the High-Performance Computing Symposium 2025 (JHU) on "Scalable Neural Operator Training for High-Dimensional PDEs". Poster

Finalist for the Whiting School of Engineering Trainee Award at Johns Hopkins Department of Medicine and Whiting School of Engineering Research Retreat 2025. Poster

Finalist for the Whiting School of Engineering Trainee Award at Johns Hopkins Department of Medicine and Whiting School of Engineering Research Retreat 2025. Poster

Finalist for the Whiting School of Engineering Trainee Award at Johns Hopkins Department of Medicine and Whiting School of Engineering Research Retreat 2025. Poster

© Copyright 2025. All rights Reserved.

Made by

Dibakar Roy Sarkar

© Copyright 2025. All rights Reserved.

Made by

Dibakar Roy Sarkar

© Copyright 2025. All rights Reserved.

Made by

Dibakar Roy Sarkar