Journal articles

  • Aravindakshan MR, Mandal C, Pothen A, Schaller S, Maass C.

    DigiLoCS: A leap forward in predictive organ-on-chip simulations.

    PLOS ONE 20(1): e0314083 (2025). doi:10.1371/journal.pone.0314083

  • Aravindakshan MR, et al.

    Parameter estimation for the oral minimal model and parameter distinctions between obese and non-obese type 2 diabetes.

    DNA and Cell Biology Reports (2024). doi:10.1089/dcbr.2024.0018

  • Aravindakshan MR, et al.

    Distinct patho-clinical clusters among uncontrolled type 2 diabetes patients: results from a prospective study in rural India.

    BMJ Open Diabetes Research & Care (2022). doi:10.1136/bmjdrc-2021-002654

Manuscripts in review / preparation

  • Aravindakshan MR, et al.under review

    A closed-loop lumped parameter model for whole-body cardiovascular simulation.
  • Aravindakshan MR, et al.submission-ready

    A comprehensive computational framework for whole-body lymphatic transport simulation.
  • Aravindakshan MR, et al.in preparation

    A coupled cranial–spinal CSF and Circle-of-Willis lumped-parameter model: Monro–Kellie volume coupling shapes intracranial pulsatility and cerebrovascular regulation.

Patents

  • Aravindakshan MR, et al.

    System for design of Route Control Chart (RCC) and application logic for interlocked signaling.

    Indian Patent App. No. 202431029893, filed April 2024.

Selected talks

  • Lilly Deep Dive · Purdue University, IN (Mar 2026)

    A whole-body digital twin for fluid transport using a 0D lumped parameter model.
  • 10th International Biofluid Mechanics & Mechanobiology Symposium · UC Irvine, CA (Sep 2025)

    Lumped parameter model for simulating brain–body fluid dynamics.
  • 18th U.S. Association for Computational Mechanics · Chicago, IL (Jul 2025)

    A whole-body lumped parameter model for cardiovascular simulation.
  • Invited · OVDF Symposium, Purdue University (Dec 2024)

    Application of computational modeling towards digital twinning for human physiological systems.
  • Invited · University of Birmingham, UK (Dec 2023)

    Digital twins for liver-on-chip devices.