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Rajeev K. Jaiman
Full Professor, Mechanical Engineering, University of British Columbia
Joined
May 2021
Names
Rajeev K. Jaiman
(Preferred)
,
Rajeev Kumar Jaiman
Emails
****@mech.ubc.ca
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Full Professor
Mechanical Engineering,
University of British Columbia
(ubc.ca)
2024
–
Present
Associate Professor
Mechanical Engineering,
University of British Columbia
(ubc.ca)
2018
–
2024
Assistant Professor
Mechanical Engineering,
National University of Singapore
(nus.edu.sg)
2012
–
2018
PhD student
Aerospace Engineering,
University of Illinois, Urbana-Champaign
(uiuc.edu)
2002
–
2007
MS student
Aerospace Engineering,
University of Illinois, Urbana-Champaign
(uiuc.edu)
2000
–
2002
Advisors, Relations & Conflicts
Coworker
Peter Yichen Chen
2025
–
2026
Postdoc Advisee
Hadi Keramati
2024
–
2026
Coworker
Jasmin Jelovica
2022
–
2026
PhD Advisee
Indu Kant Deo
2021
–
2025
PhD Advisee
Rui Gao
2021
–
2025
Postdoc Advisee
Wrik Mallik
2021
–
2023
PhD Advisor
Philippe Geubelle
2002
–
2007
PhD Advisor
Xiangmin Jiao
2002
–
2007
Expertise
Data-Driven Modeling and Machine Learning
2015
–
2026
Multiphysics Simulations
2004
–
2026
Scientific Computing and Numerical Methods
2000
–
2026
Publications
Reward-Guided Diffusion Model for Data-Driven Black-Box Design Optimization
Hadi Keramati
,
Rajeev K. Jaiman
ICLR 2025 DeLTa Workshop Poster
Readers:
Everyone
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
Indu Kant Deo
,
Akash Venkateshwaran
,
Rajeev K. Jaiman
CoRR 2024
Readers:
Everyone
An interface preserving and residual-based adaptivity for phase-field modeling of fully Eulerian fluid-structure interaction
Biswajeet Rath
,
Xiaoyu Mao
,
Rajeev K. Jaiman
J. Comput. Phys. 2023
Readers:
Everyone
An interface and geometry preserving phase-field method for fully Eulerian fluid-structure interaction
Xiaoyu Mao
,
Rajeev K. Jaiman
J. Comput. Phys. 2023
Readers:
Everyone
Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics
Indu Kant Deo
,
Rui Gao
,
Rajeev K. Jaiman
CoRR 2022
Readers:
Everyone
Deep convolutional neural network for shape optimization using level-set approach
Wrik Mallik
,
Neil Farvolden
,
Jasmin Jelovica
,
Rajeev K. Jaiman
CoRR 2022
Readers:
Everyone
Convolutional recurrent autoencoder network for learning underwater ocean acoustics
Wrik Mallik
,
Rajeev K. Jaiman
,
Jasmin Jelovica
CoRR 2022
Readers:
Everyone
Node-Element Hypergraph Message Passing for Fluid Dynamics Simulations
Rui Gao
,
Indu Kant Deo
,
Rajeev K. Jaiman
CoRR 2022
Readers:
Everyone
Quasi-Monolithic Graph Neural Network for Fluid-Structure Interaction
Rui Gao
,
Rajeev K. Jaiman
CoRR 2022
Readers:
Everyone
Learning Wave Propagation with Attention-Based Convolutional Recurrent Autoencoder Net
Indu Kant Deo
,
Rajeev K. Jaiman
CoRR 2022
Readers:
Everyone
View all 21 publications
Co-Authors
Akash Venkateshwaran
Biswajeet Rath
Carl Ollivier-Gooch
Eric Loth
Hadi Keramati
Indu Kant Deo
Jasmin Jelovica
Jie Liu
Neil Farvolden
Pardha S. Gurugubelli
Philippe H. Geubelle
Rui Gao
Suraj R. Kashyap
Vaibhav Joshi
Wrik Mallik
Xiangmin Jiao
Xiaoyu Mao
Yulong Li
Yun Zhi Law