Dr Jagir Hussan

BE Coimbatore IT, PhD

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Research Fellow


Jagir Hussan has an engineering degree from the Coimbatore Institute of Technology, India and a PhD in Bioengineering from the University of Auckland, New Zealand. Prior to his PhD studies, he worked for the IBM Corporation, specialising in high performance computing solutions for biology, finance and multimedia intelligence. His PhD was in cardiac electrophysiology, specifically focused towards understanding the role of ion-channels in cardiac arrhythmias using first principles.

He is involved in projects ranging from modelling skin-textile interaction, to developing models of cardiac looping. The core theme underlying these investigations is on developing frameworks and analysis techniques to investigate multiscale phenomena that commonly arise in biology.

Through funding from the Aotearoa Foundation, he is currently developing a model of the neuroendocrine system of human skin and its interaction with the skin resident microbiome. Specifically, he is interested in how the interaction architecture evolves, potentiates and modulates the activation of mechanical, chemical and electrical signalling pathways and control programs. A targeted outcome is to determine the mechanisms underlying disease phenotypes.

Current active areas of research include:

  • Non-equilibrium thermodynamics,
  • Quasi-conformal analysis,
  • Mechanobiology,
  • Human microbiome and the Skin,
  • Endocrine systems modelling.

Research | Current

How does the heart grow?
Embryonic heart development begins with the formation of a linear heart tube, which

undergoes a series of morphological transformations to form the fully developed heart.

Pathological cardiac development directly influences adult cardiac function and predisposes the heart to specific pathologies. The morphological transformations are coordinated by an intricate interplay between biochemical and biomechanical signals.

The aim of this project is to develop computational models that can reproduce the development process, identify physiologically meaningful parameters that provide insight into the interactions. Parts of the project were funded by the New Zealand Royal Society Marsden fund.

Reconstruction of looping kinematics from histological data


Does a low Selenium diet under high UV exposure lead to skin infections?

Serious skin infections pose a significant risk to children, elderly and deprived populations. It is a complex disease and arises from the intimate interactions between the skin, immune system and the skin-microbiome. Recent studies have indicated that westernised diet can be a factor. Selenium, a mineral low in NZ soils, has been shown to be important in skin protection against UV induced damages. We are investigating whether a westernised diet with low selenium and high UV exposure could explain the high incidence of eczema and related skin disorders in NZ children.


Multiscale model of cutaneous endocrine system

Human skin produces, activates or inactivates numerous hormones. Some of these are important for normal skin function but some also contribute to the functioning of the entire human organism. Being the primary barrier between the environment and the internal milieu it not only protect from environmental assaults but it plays a vital role in thermoregulation, sensing and feedback. There is increasing evidence that this sensing and feedback occurs not only through the cutaneous nervous system, but also through the cutaneous endocrine system. Interactions with the resident skin-microbiome also plays a major role. Through funding from the Aotearoa Foundation, we are developing models of the cutaneous endocrine system and its interactions with skin-microbiome. The physical systems are represented using Port-Hamiltonians and are interconnected to form larger ensembles.

Postgraduate supervision


Hashem Yousefi, University of Auckland. How does the heart grow?

Mary Familusi, University of Cape Town. Clinical Study and Mathematical Modelling of Rheumatic Heart Disease.

Areas of expertise

  • Computational Physiology
  • Functional Genomics
  • Numerical Analysis
  • Nonlinear elasticity
  • Quasiconformal Analysis
  • High performance computing
  • Networked Dynamical systems

Selected publications and creative works (Research Outputs)

  • Wang, V. Y., Hussan, J. R., Yousefi, H., Bradley, C. P., Hunter, P. J., & Nash, M. P. (2017). Modelling Cardiac Tissue Growth and Remodelling. JOURNAL OF ELASTICITY, 129 (1-2), 283-305. 10.1007/s10659-017-9640-7
    Other University of Auckland co-authors: Vicky Wang, Christopher Bradley, Peter Hunter, Martyn Nash
  • Hussan, J. R., & Hunter, P. J. (2015). Inferring intra-cellular mechanics using geometric metamorphosis: A preliminary study.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 10.1109/embc.2015.7318508
    URL: http://hdl.handle.net/2292/27740
    Other University of Auckland co-authors: Peter Hunter
  • Hussan, J. R., Hunter, P. J., Gladding, P. A., Greenberg, N., Christie, R., Wu, A., ... Thomas, J. D. (2015). ICMA: an integrated cardiac modeling and analysis platform. Bioinformatics (Oxford, England), 31 (8), 1331-1333. 10.1093/bioinformatics/btu809
    Other University of Auckland co-authors: Peter Hunter, Richard Christie, Hugh Sorby
  • Nickerson, D. P., Ladd, D., Hussan, J. R., Safaei, S., Suresh, V., Hunter, P. J., & Bradley, C. P. (2015). Using CellML with OpenCMISS to simulate multi-scale physiology. Frontiers in Bioengineering and Biotechnology, 210.3389/fbioe.2014.00079
    URL: http://hdl.handle.net/2292/25442
    Other University of Auckland co-authors: Vinod Suresh, Peter Hunter, Christopher Bradley, David Nickerson, Soroush Safaei
  • Razak Jainulabdeen, J. H., & Hunter, P. J. (2014). Integrated Cardiac Modeling and Analysis [Computer software]. Related URL.
    Other University of Auckland co-authors: Peter Hunter
  • May, C., Borowski, A., Martin, D., Popovic, Z., Negishi, K., Hussan, J. R., ... Kassemi, M. (2014). Affect of microgravity on cardiac shape: Comparison of pre- and in-flight data to mathematical modeling. Paper presented at TCT@ACC-i2 Innovation in Intervention, Washington, DC, USA. 29 March - 31 March 2014. Journal of the American College of Cardiology. (pp. 1). 10.1016/S0735-1097(14)61096-2
    Other University of Auckland co-authors: Peter Hunter
  • Gladding, P., Cave, A., Zareian, M., Smith, K., Hussan, J., Hunter, P., ... Chan, E. (2013). Open Access Integrated Therapeutic and Diagnostic Platforms for Personalized Cardiovascular Medicine. Journal of Personalized Medicine, 3 (3), 203-237. 10.3390/jpm3030203
    Other University of Auckland co-authors: Peter Hunter
  • Mansi, T., Georgescu, B., Hussan, J., Hunter, P. J., Kamen, A., & Comaniciu, D. (2013). Data-driven reduction of a cardiac myofilament model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-642-38899-6_28
    Other University of Auckland co-authors: Peter Hunter


Contact details

Primary office location

Level 6, Room 647
New Zealand

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