Alireza Poshtkohi.
I am a lecturer in computer science at the University of Hertfordshire, working across computational neuroscience, mathematical biophysics, nonassociative mathematics and scientific computing.
My research spans the construction of mathematical models and the systems needed to investigate them: from receptor and glial physiology to modelling languages, compilers, parallel simulation and mathematical software.
I connect mathematics, physiology, physics and computer science, following questions across disciplinary boundaries. A problem in physiology can motivate a new mathematical investigation, while advances in computing make that investigation practical.
to a mathematical framework,
to an executable idea.
A connected research trajectory.
Earlier work in electrical engineering, distributed systems and high-performance computing developed my interest in building computational infrastructure. Doctoral research at Ulster University brought this experience into human microglial electrophysiology and calcium signalling.
The published gHH framework and the General Theory of Gating grew from the search for more general descriptions of receptor and ion-channel dynamics. Investigations prompted by that generalisation also led to Pentarnion research in nonassociative algebra and nonlinear dynamics.
Today, GTG Cell Studio and Pentarnion Studio make these research directions computationally accessible, alongside ongoing human-microglia and enteric-glia modelling programmes.
Academic and research experience.
University of Hertfordshire
Lecturer in Computer Science. Research, undergraduate/postgraduate teaching and BSc/MSc project supervision.
Ulster University
Doctoral research in computational neuroscience and biophysics, focused on human microglial electrophysiology and calcium dynamics.
Shahed University
High-performance computing infrastructure, research in modelling and simulation, compiler development and engineering computation.
Sharif University of Technology
Research Director, Parallel & Distributed Systems Lab, within the EPCA research group; parallel-computing research and training.
Research community.
I contribute through peer review, open research software, workshops, teaching and supervision. My collaborations bring together experimental physiology and computational neuroscience in the UK and US, and pure mathematics in the UK.
Longer-term interests include the biophysical foundations of life and intelligence, ageing, and the relationships between algebra, geometry and physical theories. These are intellectual directions rather than claims of completed discoveries.