Neyaz Ahmed — Applied Mathematics & Computational Science

§ 1. About

Research Profile

I am an M.S. student and Graduate Research Assistant in Applied Mathematics and Computational Science at North South University, working in the Department of Mathematics & Physics on computational fluid dynamics and convective heat transfer.

My thesis compares the thermal storage performance of phase change materials (PCM) and nano-enhanced PCM in cavities with serrated heat sources, using transient melting simulations with the enthalpy–porosity formulation. My wider research combines finite-volume CFD with data-driven surrogate modelling for heat transfer in cavities, porous media, magnetohydrodynamic flows and geothermal systems; three manuscripts from this work are under review.

I came to applied mathematics from engineering (B.S., Petroleum & Mining Engineering, SUST), and I also write my own solvers, including an in-house D2Q9 lattice Boltzmann code in C.

Computational Fluid Dynamics Convective Heat Transfer Phase Change & Thermal Storage Magnetohydrodynamics Lattice Boltzmann Methods Scientific ML & Surrogate Models

§ 2. Research

Thesis & Research Projects

M.S. Thesis · In progressNorth South University

Comparative Analysis of PCM and Nano-Enhanced PCM Thermal Storage Performance in Cavities with Serrated Heat Sources

Effects of geometric morphology and material properties on melting and storage performance, studied through transient melting simulations in ANSYS Fluent with the enthalpy–porosity formulation.

Advisor: Dr. Preetom Nag, Associate Professor, North South University

Graduate Research — Department of Mathematics & Physics, NSU

Finite-volume CFD and data-driven surrogate modelling of convective heat transfer in cavities, porous media and geothermal systems. Manuscripts are listed under Publications.

Selected Projects

01.

CFD of an AGR Reactor Channel with Kriging-Based Optimisation

Temperature and velocity profiles in an advanced gas-cooled reactor: the impact of rib geometry, with the temperature profile optimised using the Kriging method.

Big Matrix Lab CFD Kriging Optimisation

02.

Benchmarking Machine Learning Models for Building Energy Efficiency

Statistical benchmarking of machine learning models for predicting building energy efficiency, validated with 10-fold cross-validation.

Big Matrix Lab Python 10-fold CV

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03.

Machine Learning Models for Breast Cancer Diagnosis

Comparative performance benchmarking of machine learning classifiers, with statistical validation of the results.

Big Matrix Lab Classification Statistical Validation

04.

Fluid Flow Through a 3D 90° Pipe Bend

Comparative numerical analysis of flow through a three-dimensional 90° angular piping bend.

Applied Mathematics Project · NSU CFD

More code on GitHub ↗

§ 3. Publications

Manuscripts Under Review

Under review

Data-Driven Surrogate Modeling of Cylinder-Wise Heat Transfer in Conjugate MHD Mixed Convection of a Hybrid Ferrofluid

Under review

Numerical Investigation of a Double-Tube Vertical Geothermal Exchanger in Pile Foundations

Under review

Numerical Investigation of Natural Convection in a Porous Square Cavity with Discrete Cylindrical Heat Sources

§ 4. Education

Education

Ongoing

M.S., Applied Mathematics & Computational Science — North South University, Dhaka GPA 3.56 (ongoing) · Advisor: Dr. Preetom Nag Thesis (in progress): Comparative Analysis of PCM and NEPCM Thermal Storage Performance in Cavities with Serrated Heat Sources

B.S.

B.S., Petroleum & Mining Engineering — Shahjalal University of Science & Technology (SUST), Sylhet Advisor: Dr. Labiba Nusrat Jahan Thesis: Consumer Gas Risk Analysis in Bangladesh — A Case Study of Utility Gas and LPG Safety

Tests

GRE 329 · IELTS Academic 8.0 GRE: Quantitative 170 (91st pct.) · Verbal 159 (80th pct.) IELTS: Listening 8.0 · Reading 9.0 · Writing 6.5 · Speaking 7.5

§ 5. Experience

Teaching & Professional Experience

Current

Graduate Research Assistant — Dept. of Mathematics & Physics, North South University Finite-volume CFD and surrogate modelling of convective heat transfer

2025 – now

Teaching Assistant, Applied Mathematics — North South University Supported graduate-level courses, lab sessions and problem-solving tutorials

2021 – now

One-on-One Mentor — Mathematics & Programming Individual guidance and project supervision for students

Internship

Engineering Intern — Baset Prokoushol Limited, Dhaka Site investigations, soil testing and field data collection with surveying equipment

Training

Technical Institute for Chemical Industries (TICI), Bangladesh Industrial water treatment · process safety & accident prevention · PLC/SCADA automation · industrial pumps · electrical maintenance

§ 6. Distinctions

Honours & Awards

SUST

Champion, Hult Prize at SUST Advanced to the Regional Finals, Mumbai, India

2017

National Board Scholarship — Higher Secondary Certificate (HSC) Examination

2017

Bronze Medal — Duke of Edinburgh International Award Programme

2015

National Board Scholarship — Secondary School Certificate (SSC) Examination

2013

Champion — National Mathematics Olympiad

§ 7. Technical Competencies

Skills & Methods

CFD & Multiphysics

ANSYS Fluent
COMSOL Multiphysics
Lattice Boltzmann Method (in-house D2Q9 solver, C)

Scientific Computing

Numerical Methods
Finite Volume & Finite Difference Methods
HPC — OpenMP, MPI, CUDA

Programming

Python — NumPy, SciPy, PyTorch, TensorFlow
MATLAB / Simulink
C

ML for Physical Systems

Hybrid Physics–ML Modelling
Surrogate Modelling
Git / GitHub · LaTeX

Courses & Memberships

2020

Machine Learning — Stanford University / Coursera

Course

CS50’s Introduction to Programming with Python — Harvard University / edX

2017 – now

Member — Society of Petroleum Engineers (SPE)