Mohammad Mehedi Hasan Akash

Postdoctoral Researcher in Mechanical and Aerospace Engineering

FAMU–FSU College of Engineering

I develop computational methods for fluid mechanics—from physiological transport and fluid–structure interaction to emerging quantum algorithms for multiscale flow.

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Published quantum circuit for a source, diffusion, advection, and diffusion time step — Figure 1 from Akash et al., arXiv:2608.27712 (2026): the time marching quantum time-step circuit.

Postdoctoral research highlight · 2026

Efficient Quantum Simulation of Variable-Coefficient Transport with Continuous Source Injection

This new work develops a fixed-width quantum time-marching method for variable-coefficient advection–diffusion with continuous source injection. The circuit combines Gray-code advection, an efficient source loader, and one reusable diffusion ancilla while keeping the peak logical width to n_q + 1 qubits.

Quantum algorithms · arXiv:2608.27712

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Hardware-efficient variational ansatz circuit used to encode the spacetime velocity field — Figure 1 from Nguyen, Akash et al., arXiv:2609.09268 (2026): the hardware-efficient ansatz circuit.

Postdoctoral research highlight · 2026

Reconstructing Fluid Velocity Fields from Sparse Sensors Using a Variational Quantum Algorithm

This work introduces a spacetime-encoded variational quantum algorithm that reconstructs nonlinear fluid velocity fields from sparse, time-resolved sensor data, without requiring a known initial condition. A single variational quantum state jointly optimizes a physics-informed PDE residual and a measurement mismatch term, validated on the Burgers and Kuramoto–Sivashinsky equations using sensors covering as little as 25% of the spatial grid.

Quantum algorithms · arXiv:2609.09268

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Research trajectory

Mechanics across scales

Research overview

Quantum fluid mechanics

Quantum–classical algorithms and multiscale frameworks for transport and turbulence.

Fluid–structure interaction

High-fidelity simulation of turbulent flow over flexible, bio-inspired surfaces.

Biofluid transport

Multiphase CFD for tumor perfusion, respiratory transport, and targeted drug delivery.

Selected research

Publication figures

Published multipanel figure showing a tumor microvessel schematic, histology, and computational meshes — Figure 1 from Akash et al., *Frontiers in Pharmacology* (2026), CC BY.

Tumor transport · 2026

Reduced-order modeling of solute transport in solid tumors

A three-phase CFD framework connects localized vessel-wall physics with efficient prediction of solute progression through dense tumor extracellular matrix.

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Published CFD figure showing airway deposition maps, airflow streamlines, vorticity, pressure, and inhaled particle trajectories — Figure 2 from Yeasin et al., *Scientific Reports* 16, 2142 (2026), CC BY-NC-ND 4.0.

Airborne infection mechanics · 2026

Inhaled onset of smallpox and implications for mpox spread

Medical-image-based CFD links aerosol size, airway transport, and deposition at infection-prone regions to model critical exposure duration.

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Recent & selected publications

Recent and representative work

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Efficient Quantum Simulation of Variable-Coefficient Transport with Continuous Source Injection

Mohammad Mehedi Hasan Akash, Turag Dev, Nhat-Quang Nguyen, Yanzhu Chen, Huixuan Wu, Kourosh Shoele

arXiv, arXiv:2608.27712 [quant-ph] · 2026

Quantum algorithms

Reconstructing Fluid Velocity Fields from Sparse Sensors Using a Variational Quantum Algorithm

Nhat-Quang Nguyen, Mohammad Mehedi Hasan Akash, Kourosh Shoele, Yanzhu Chen, Huixuan Wu

arXiv, arXiv:2609.09268 [quant-ph] · 2026

Quantum algorithms

Reduced-order modeling of solute transport within physiologically realistic solid tumor microenvironment

Mohammad Mehedi Hasan Akash*, M. Yeasin, S. Mahmoudirad, R. A. Niloy, J. Mohammad, K. Reindl, A. Pandey, S. Basu

Frontiers in Pharmacology, 17:1746751 · 2026

Biofluid transport

Decoding the mechanophysiology for inhaled onset of smallpox with model-based implications for mpox spread

M. Yeasin, Mohammad Mehedi Hasan Akash, A. Malakar, A. A. Borojeni, A. Tummala, J. Wu, W. D. Bennett, W. M. Bodnar, J. S. Kimbell, A. Chakravarty, J. R. Port, S. Basu

Scientific Reports, 16:2142 · published online 2025 · 2026

Respiratory transport

In the news

Media coverage

The Brookings Register · May 2023

Basu Lab applies fluid mechanics modeling to cancer research at South Dakota State University

Coverage of doctoral research modeling multiphase blood flow in tumor microenvironments, conducted with Dr. Saikat Basu.

The Brookings Register · February 2022

Inhaling virus-laden droplets may increase COVID-19 severity

Coverage of a computational aerosol transport model of nasopharyngeal-to-lower-airway spread, published in Rhinology Online.

Brief bio

A researcher shaped by mechanics, physiology, and computation.

Mohammad Mehedi Hasan Akash is a postdoctoral fellow in the Computational and Theoretical Multiphysics Laboratory at the FAMU–FSU College of Engineering. His current research combines high-fidelity fluid–structure interaction with quantum-based multiscale modeling for transport and turbulence.

He earned his PhD and MS in Mechanical Engineering from South Dakota State University, where he modeled multiphase transport in tumor microenvironments and medical-image-derived respiratory airways. He previously completed his MSc and BSc at Bangladesh University of Engineering and Technology. Across these areas, his work uses physically grounded computation to make complex flow systems more interpretable and tractable.

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