Group Members

Rajeev K. Jaiman

Full Professor (Principal Investigator) CV

✆ (604) 827 0609

⚐ CEME 2208F

Bio-sketch: Rajeev K. Jaiman is currently a Full Professor and NSERC/Seaspan Industrial Chair in the Department of Mechanical Engineering at the University of British Columbia (UBC), Vancouver, Canada. Prior to his current appointment at UBC, he was an assistant professor in the Department of Mechanical Engineering at the National University of Singapore (NUS). Before joining NUS, he was the Director of Computational Fluid Dynamics (CFD) Development at Altair Engineering, Inc., Mountain View, California. The CFD technologies that Dr. Jaiman has developed are routinely used in marine/offshore, wind turbine, nuclear reactors, automotive and aerospace industries. Dr. Jaiman earned his first degree in Aerospace Engineering from the Indian Institute of Technology, Mumbai. He received his master’s and doctorate degrees from the University of Illinois at Urbana-Champaign (UIUC). His research interests include fluid-structure interaction, computational fluid dynamics, finite element analysis, data-driven modeling and physics-based machine learning. He is currently an Associate Editor of ASME-OMAE Journal, a senior member of AIAA, a Fellow of SNAME and members of ASME, IACM, USACM, APS.

Biswajeet Rath

Ph.D. Candidate (Since 2020)

Dual Degree (B.Tech. + M.Tech.): Indian Institute of Technology (IIT) Kanpur

Research: Multi-fidelity modeling for multiphase FSI

Email: abiswajeet97@gmail.com

Rui Gao

Ph.D. Candidate (Since 2021)

M.Sc., B.Sc.: Shanghai Jiao Tong University

Research: Geometric deep learning and graph neural nets for multiphysics simulations

Email: garrygao@student.ubc.ca

Shayan Heydari

Ph.D. Candidate (Since 2022)

M.A.Sc.: The University of British Columbia

B.Sc.: Amirkabir University of Technology

Research: Interpretable hypergraph neural network modeling for prediction of flow-induced vibrations

Email: hdrshayan@gmail.com

Aarshana Parekh

Ph.D. Candidate (Since 2021)

M.S.: The University of Washington

B.E.: The University of Mumbai

Research: High-dimensional and physics-based ML simulations for the collective dynamics of flapping foils

Email: aarshana95@gmail.com

Indu Kant Deo

Ph.D. Candidate (Since 2020)

B.Tech.: Indian Institute of Technology (IIT) Kharagpur

Research: Data-driven reduced-order models, and physics-aware machine learning for flow field prediction

Email: 06274indukantdeo@gmail.com

Farnoosh Hadizadeh

Ph.D. Candidate (Since 2021)

M.Sc.: The University of Tehran

B.Sc.: K. N. Toosi University of Technology

Research: Design optimization of hydrofoils using physics-based machine learning

Email: farnoosh.hadizadeh@yahoo.co

Jose Gonsalves

M.A.Sc. Student (Since 2020)

Double B.Sc.: Virginia Tech

Research: Development of control methods for tip vortex cavitation, VIVs, and hydroacoustic noise generation.

Email: josetg@student.ubc.ca

Sabiha Ulfat Bhuiyan

MASc Student (Since 2022)

B.A.Sc.: Combined Honours in Physics and Astronomy, University of British Columbia

Research: Phase-field multiphysics modelling for ship-ice interaction

Email: sabihaub98@gmail.com

Former CML Members/Alumni

Xiaoyu Mao

Ph.D.: The University of British Columbia (2019 – 2023)

MSc: National University of Singapore

BSc: Harbin Institute of Technology

Research: Phase-field modeling and data-driven computation for two-phase fluid-structure interaction

Email: dgcsmaoxiaoyu@gmail.com

Vaibhav Joshi

Post-doctoral research fellow (2019 – 2020)

Ph.D.: National University of Singapore

B.Tech.: Vellore Institute of Technology (VIT)

Current Position: Assistant Professor at Birla Institute of Technology and Science Pilani

Research: Two-phase fluid-structure interaction

Email: vaibhav.joshi@ubc.ca

Wrik Mallik

Post-doctoral research fellow (2021 – 2022)

Ph.D.: Virginia Tech

B.Tech: Jadavpur University

Research: Machine learning framework for underwater radiated noise prediction and mitigation.

Email: wrik.mallik@ubc.ca

Zhi Cheng

Post-doctoral Research Fellow (Since 2023)

BSc: Southeast University

MSc: Southeast University & University of Waterloo (Joint)

Ph.D.: University of Waterloo & Duke University (Joint)

Research: Physics-based machine learning for marine acoustics, Fluid-structure interaction, Fluid mechanics

Email: vamoschengzhi@gmail.com

Saman Lak

M.A.Sc.: The University of British Columbia

B.Sc.: Sharif University of Technology

Research: Tip Vortex Cavitation Noise Mitigation

Email: slak@mail.ubc.ca

‪Akash Venkateshwaran

M.A.Sc.: The University of British Columbia

B.Tech.: Vellore Institute of Technology, India

Research: Physics-based geometric deep learning models for multiscale and multiphysics systems

Email: akash.venkateshwaran@gmail.com

Nihar Bhardwaj Darbhamulla

M.A.Sc: The University of British Columbia

B.Tech.: Indian Institute of Technology (IIT) Guwahati.

Research: Cavitation dynamics of Flexible Structures.

Email: niharb.dma@gmail.com

Amir Chizfahm

M.A.Sc.: The University of British Columbia

M.A.Sc., B.Sc.: Shiraz University

Research: Active feedback control of wake flow and vortex-induced vibrations using deep learning

Email: amir.chizfahm@ubc.ca

Suraj Kashyap

M.A.Sc.: The University of British Columbia

Dual Degree (B.Tech.+M.Tech.): Indian Institute of Technology (IIT) Madras

Research: Deep learning framework for optimization and control in cavitating propellers

Email: suraj.kashyap@ubc.ca

Rachit Gupta

M.A.Sc.: The University of British Columbia

B.Tech.: Delhi College of Engineering

Research: Development of a machine learning framework for multiphase flow

Email: rachit.gupta@ubc.ca

Sean Hanrahan

M.Eng. – Exchange from the University of Melbourne, Australia (2019 – 2020)

BSc: University of Melbourne

Research: Modelling and investigating the aeroelastic flutter of the primary regimes of gliding birds, to determine the strategies utilised to reduce induced drag and enhance the propulsive efficiency during flight

Email: seanhanrahan4@icloud.com