Dr Vijay Rajagopal

  • Room: Level: 02 Room: 10
  • Building: Mechanical Engineering
  • Campus: Parkville

Research interests

  • Biophysics
  • Computational Physiology (cancer, heart, breast)
  • Image Analysis
  • Mechanobiology (cancer metastasis, cell motility, red blood cell)
  • Remodeling
  • Soft Tissue Mechanics
  • Synthetic Biology

Personal webpage



Dr Vijay Rajagopal is a Senior Lecturer at the Department of Biomedical Engineering at the University of Melbourne. He was awarded a PhD in Bioengineering from the Auckland Bioengineering Institute, University of Auckland, NZ in 2007. Dr. Rajagopal received national and international recognition for his contributions to biomechanical modeling of the breast for computer aided tracking of breast tumours at the highly reputed international conference of the Medical Image Computing and Computer Assisted Intervention Society in 2007 as well as the 2008 NZ Young Scientist of the Year Awards. He subsequently focussed his post-doctoral research training to understanding the fundamental physical and chemical mechanisms that regulate cell shape and function. He was awarded a highly competitive award by the Royal Society of New Zealand (Marsden Fast Start, 6% success rate) to develop new methods for computational modeling of heart cell shape, sub-cellular architecture and function. He also gained expertise in microfluidics, cell migration and cytoskeletal mechanics at Massachusetts Institute of Technology and the Singapore-MIT Alliance for Research and Technology. In 2014, Dr. Rajagopal was recruited to the University of Melbourne via the Research at Melbourne Accelerator Program to develop a new research group to increase the University's activities in computational physiology and biology as well as cell mechanobiology. Dr. Rajagopal now leads the Cell Structure and Mechanobiology Group, and is a co-founder of the MSE Mechanobiology Lab in the Parkville Biomedical Precinct. Current research projects include: --- Cardiac cell systems biology and mechanobiology in diseases such as diabetic cardiomyopathy and cardiac hypertrophy --- Computational modelling of cancer cell metastasis --- Red blood cell mechanics and malaria --- Breast tissue mechanics with applications in breast cancer diagnosis --- Single ventricle heart mechanics

Recent publications

  1. Ladd D, Tilunaite A, Roderick HL, Soeller C, Crampin EJ, Rajagopal V. Assessing Cardiomyocyte Excitation-Contraction Coupling Site Detection From Live Cell Imaging Using a Structurally-Realistic Computational Model of Calcium Release. FRONTIERS IN PHYSIOLOGY. Frontiers Research Foundation. 2019, Vol. 10. DOI: 10.3389/fphys.2019.01263
  2. Wo N, Rajagopal V, Cheung M, Smolich J, Mynard J. Assessment of single beat end-systolic elastance methods for quantifying ventricular contractility. Heart and Vessels: an international journal. Springer Verlag. 2019, Vol. 34, Issue 4. DOI: 10.1007/s00380-018-1303-5
  3. Ladd D, Tilunaite A, Soeller C, Roderick L, Crampin E, Rajagopal V. Detecting RyR clusters with CaCLEAN: influence of spatial distribution and structural heterogeneity. . 2019. DOI: 10.1101/549683
  4. Liu B, Blanch A, Namvar A, Carmo O, Tiash S, Andrew D, Hanssen E, Rajagopal V, Dixon M, Tilley L. Multimodal analysis of Plasmodium knowlesi-infected erythrocytes reveals large invaginations, swelling of the host cell, and rheological defects. CELLULAR MICROBIOLOGY. Blackwell Publishers. 2019, Vol. 21, Issue 5. DOI: 10.1111/cmi.13005
  5. Hussain A, Ghosh S, Kalkhoran SB, Hausenloy DJ, Hanssen E, Rajagopal V. An automated workflow for segmenting single adult cardiac cells from large-volume serial block-face scanning electron microscopy data. JOURNAL OF STRUCTURAL BIOLOGY. Elsevier. 2018, Vol. 202, Issue 3. DOI: 10.1016/j.jsb.2018.02.005
  6. Hanssen E, Rajagopal V, Khadankishandi A. Automated framework to reconstruct 3D model of cardiac Z-disk: an image processing approach. 2018 IEEE International Conference on Bioinformatics and Biomedicine. IEEE. 2018.
  7. Rajagopal V, Holmes WR, Lee P. Computational modeling of single-cell mechanics and cytoskeletal mechanobiology. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE. 2018, Vol. 10, Issue 2. DOI: 10.1002/wsbm.1407
  8. Rajagopal V, Bass G, Ghosh S, Hunt H, Walkers C, Hanssen E, Crampin E, Soeller C. Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS. Journal of Visualized Experiments. 2018, Vol. 2018, Issue 134. DOI: 10.3791/56817
  9. Ghosh S, Tran K, Delbridge L, Hickey AJR, Hanssen E, Crampin E, Rajagopal V. Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture. PLOS COMPUTATIONAL BIOLOGY. Public Library of Science. 2018, Vol. 14, Issue 12. DOI: 10.1371/journal.pcbi.1006640
  10. Ghosh S, Crampin E, Hanssen E, Rajagopal V. A Computational Study of the Role of Mitochondrial Organization on Cardiac Bioenergetics. 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). IEEE. 2017. DOI: 10.1109/EMBC.2017.8037413
  11. Hussain A, Hanssen E, Rajagopal V. A Semi-Automated Workflow for Segmenting Contents of Single Cardiac Cells from Serial-Block-Face Scanning Electron Microscopy Data. Microscopy and Microanalysis. Cambridge University Press. 2017, Vol. 23, Issue S1. DOI: 10.1017/s143192761700188x
  12. Jarosz J, Ghosh S, Delbridge L, Petzer A, Hickey AJR, Crampin E, Hanssen E, Rajagopal V. Changes in mitochondrial morphology and organization can enhance energy supply from mitochondrial oxidative phosphorylation in diabetic cardiomyopathy. AMERICAN JOURNAL OF PHYSIOLOGY-CELL PHYSIOLOGY. American Physiological Society. 2017, Vol. 312, Issue 2. DOI: 10.1152/ajpcell.00298.2016
  13. Lelliott PM, Huang HM, Dixon M, Namvar A, Blanch A, Rajagopal V, Tilley L, Coban C, McMorran BJ, Foote SJ, Burgio G. Erythrocyte beta spectrin can be genetically targeted to protect mice from malaria. BLOOD ADVANCES. American Society of Hematology. 2017, Vol. 1, Issue 26. DOI: 10.1182/bloodadvances.2017009274
  14. Wang ZJ, Wang VY, Babarenda Gamage TP, Rajagopal V, Cao JJ, Nielsen PMF, Bradley CP, Young AA, Nash MP. Principal Component Analysis used to Derive Patient-Specific Load-Free Geometry and Estimate Myocardial Stiffness in the Heart. Computational and Mathematical Biomedical Engineering. 2017.
  15. Rajagopal V, Bass G, Walker CG, Crossman DJ, Petzer A, Hickey A, Siekmann I, Hoshijima M, Ellisman MH, Crampin E, Soeller C. Examination of the Effects of Heterogeneous Organization of RyR Clusters, Myofibrils and Mitochondria on Ca2+ Release Patterns in Cardiomyocytes. PLOS COMPUTATIONAL BIOLOGY. Public Library of Science. 2015, Vol. 11, Issue 9. DOI: 10.1371/journal.pcbi.1004417

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile