Nasir Hussain

Brief Bio

Nasir Hussain is a Lecturer at the University of Southern Punjab, Multan, specializing in Mathematics with a focus on numerical computing, differential equations, and applied mathematical modeling. He has strong experience in teaching undergraduate courses, supervising research projects, and contributing to curriculum development.

His research interests include nonlinear equations, bifurcation theory, and applications of machine learning in predictive analytics. He is committed to fostering analytical thinking and enhancing students’ problem-solving skills through effective teaching methodologies.

Education
M.Phil. Mathematics
University of Southern Punjab, Multan
2017
MSc Mathematics
University of Southern Punjab, Multan
2015
BSc (General Science)
Bahauddin Zakariya University (BZU), Multan
2011
Professional Experience
Lecturer
University of Southern Punjab, Multan
2017 – Till now
Lecturer
Government Science College, Multan
2016 – 2017

Professional associations

  • Member, Curriculum Committee (USP) 
  • Member, Outcome-Based Education (OBE) Committee

Research Interests

Research Impact:

  • Publications: 4+ 
  • Supervised BS Projects: 2
Title Year Published Link
MEBACA-Modeling Emotion Base Attitudes for Cognitive Agents
2024
On Some Optimal Jarratt Type Fourth Order Methods for Nonlinear Equations
2025
Bifurcation Phenomena and Dynamic Behavior of Periodic Solutions in First-Order Non-Autonomous Differential Equations
2026
Machine Learning-Based Intelligent Approach for Predictive Analytics of Cardiovascular Disease Risk Assessment
2026

Hussain, N. (2024). MEBACA: Modeling emotion-based attitudes for cognitive agents. Journal of Computing & Biomedical Informatics.
https://jcbi.org/index.php/Main/article/view/493

Hussain, N. (2025). On some optimal Jarratt type fourth order methods for nonlinear equations. Global Research Journal of Natural Science and Technology.
https://grjnst.net/index.php/view/article/view/30

Hussain, N. (2026). Bifurcation phenomena and dynamic behavior of periodic solutions in first-order non-autonomous differential equations. Physical Education, Health and Social Sciences (PEHSS).
https://www.researchgate.net/publication/392711901

Hussain, N. (n.d.). Machine learning-based intelligent approach for predictive analytics of cardiovascular disease risk assessment.
https://thesesjournal.com/index.php/1/article/view/2316

Teaching & Supervision

Courses:

  • Calculus & Analytical Geometry 
  • Multivariable Calculus 
  • Discrete Structures 
  • Operations Research 
  • Linear Algebra

Teaching Philosophy

To develop strong analytical and problem-solving skills in students through conceptual understanding and practical applications of mathematical theories.

Technical Skills

Mathematical Tools:

  • MATLAB 
  • LaTeX 

Core Areas:

  • Numerical Computing 
  • Differential Equations 
  • Linear Algebra

Collaboration

Open to academic and research collaborations in applied mathematics, numerical methods, and interdisciplinary research involving machine learning.

Contact