Academic collaboration

Let us connect mathematics with questions that matter.

I welcome thoughtful conversations around research, teaching, curriculum, workshops, academic program development and interdisciplinary work connecting mathematics with data and intelligent systems.

Connect professionally

Choose the most relevant channel.

For research, professional networking, PMAI Lab initiatives and public work, these profiles provide the clearest starting point.

LinkedInProfessional networking

Connect for academic collaboration, professional discussion and institutional opportunities.

Open LinkedIn ↗ GitHubCode & computational work

Explore repositories, notebooks, learning materials and growing technical projects.

Open GitHub ↗ PMAI LabPython · Mathematics · AI

Explore collaborative courses, projects, research ideas, blogs and upcoming initiatives.

Visit PMAI Lab ↗

Collaboration areas

Where our interests may meet.

Collaboration is most valuable when the question is clear, responsibilities are shared and the outcome creates genuine academic or educational value.

01

Graph Theory & Mathematical AI

Research questions involving networks, representation, metric dimension and graph learning.

02

Curriculum & Academic Programs

Future-facing mathematics, data analytics, computational learning and interdisciplinary degree design.

03

Workshops & Faculty Learning

Python, mathematical computing, AI foundations, active learning and academic leadership.

04

PMAI Lab Initiatives

Courses, projects, public learning resources, research communication and institutional partnerships.

Current academic affiliation

Riphah International University

Sahiwal Campus · Department of Mathematics

Associate Professor of MathematicsHead of DepartmentCampus academic leadership