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Dr. Muhammad Sohaib

Lecturer (BPS-18) Department of Mathematics & Statistics Educational Services
Dr. Muhammad Sohaib

Dr. Muhammad Sohaib

Lecturer (BPS-18)

Department of Mathematics & Statistics

Personal & Quick Info

Nationality Pakistani
Domicile Swabi
Date of Birth Feb 25, 1990
Highest Degree Ph.D Mathematics
Official Address Bacha Khan University Charsadda, Pakistan

Contact Scholar

Email Address

msohaib@bkuc.edu.pk

Direct Telephone

03469648868

Professional Network

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Location

Palosa Campus, Bacha Khan University Charsadda, Khyber Pakhtunkhwa

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Professional Summary

Dr. Muhammad Sohaib is a Lecturer in Mathematics at Bacha Khan University Charsadda, Pakistan, specializing in computational and applied mathematics. His research focuses on numerical methods for partial differential equations, computational fluid dynamics, phase-field modeling, two-phase flow, fractional PDEs, and physics-informed machine learning. He has published research on diffuse-interface methods, interfacial dynamics, fractional Allen–Cahn equations, and efficient numerical algorithms. His broader research goal is to develop accurate, efficient, and structure-preserving computational methods for complex physical and mathematical models.

Educational Background

Ph.D Mathematics

2024

COMSATS University Islamabad

Grade/Division: 3.8/4 Major: Computational Mathematics (Two-phase Flow, AI Driven Modeling and Scientific Computing, Numerical Analysis)

MS Applied Mathematics

2015

Ghulam Ishaq Khan Institute of Engineering Sciences & Technology, Topi-Swabi, KP, Pakistan

Grade/Division: 3.75/4 Major: Computational Mathematics

MSc Mathematics

2013

Quaid-I-Azam University Islamabad

Grade/Division: 2347/3000 Major: Applied Mathematics

BSc

2010

University of Peshawar

Grade/Division: 431/550

HSSC

2008

BISE Peshawar

Grade/Division: 802/1100 Major: Pre-Engineering

SSC

2006

BISE Mardan

Grade/Division: 815/1050 Major: Science

Professional Experience

Lecturer (BPS-18)

2016 - Present

Bacha Khan University Charsadda, Pakistan

Teaching and Research

Scholarly Publications & Research Papers

1

Numerical solution of sixth-order boundary-value problems using Legendre wavelet collocation method

Results in Physics • 2018

Volume 8, March 2018, Pages 1204-1208

View Article / DOI
2

A numerical approach to solve volume-based batch crystallization model with fines dissolution unit

Processes • 2019

7(7), 453

View Article / DOI

Certifications & Professional Training

Neural Networks and Deep Learning

DeepLearning.AI (via Coursera)

2025

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

DeepLearning.AI (via Coursera)

2025

Linear Algebra for Machine Learning and Data Science

DeepLearning.AI (via Coursera)

2025

Calculus for Machine Learning and Data Science

DeepLearning.AI (via Coursera)

2025

Programming for Everybody (Getting Started with Python)

University of Michigan (via Coursera)

2025

Mathematics for Machine Learning: Multivariate Calculus

Imperial College London (via Coursera)

2026

Discover the Art of Prompting

Google (via Coursera)

2026
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