Faculty Profile


MUHAMMAD SALAH-UD-DIN IQBAL

 

  salahudiniqbal@gmail.com

  +92333-7211466

2025---

PHD COMPUTER SCIENCES, GREEN INTERNATIONAL UNIVERSITY, LAHORE.

2019-2021

MPHIL COMPUTER SCIENCES, LAHORE LEADS UNIVERSITY, LAHORE

Worked in Data sciences and Artificial intelligence with the thesis title “DEEP LEARNING IN MENTAL HEALTH, A SYSTEMATIC REVIEW”.

2015-2019

BACHELORS IN COMPUTER SCIENCES, BAHAUDIN ZAKARIYA UNIVERSITY, MULTAN

 

2026--- LECTURER, National University of Modern Language, Lahore

  • Teaching Object oriented programming.
  • Teaching Artificial Intelligence
  • Teaching Database with MySQL.
  • Teaching web development.
  • Teaching Data sciences and machine learning.

2024-2026 LECTURER, Minhaj university Lahore

  • Teaching Artificial Intelligence
  • Teaching Database with MySQL.
  • Teaching web development.
  • Teaching Data sciences and machine learning.

2022 -2024 LECTURER, LAHORE INSTITUTE OF SCIENCE AND TECHNOLOGY

  • Taught Database with MySQL.
  • Teaching Artificial Intelligence
  • Taught web development.
  • Taught Data sciences and machine learning.

2017 - 2019 FRONT END DEVELOPER, SERVICES GROUND, SAHIWAL

  • Develop new user-facing features
  • Ensure the technical feasibility of UI/UX designs
  • To build front end of multiple websites / prototypes
  • Optimize application for maximum speed and scalability
  • Collaborate with other team members and stakeholders
  • Assure that all user input is validated before submitting to back-end
  • Timely delivery of assigned projects
  • Worked on HTML, CSS, Bootstrap, JQuery and Javascript.

 A Comparative Study of Different Denoising Techniques in Digital Image Processing

 Systematic review: Machine learning and deep learning based prostate cancer prediction

 Comparative Analysis of Machine Learning Algorithms for Breast Cancer Detection: A Study of Support Vector Classification, Logistic Regression

 Prognosis of Breast Cancer using Machine Learning Techniques and Analyzing Food Habits of Pakistani Women  Synergetic ZIF-8@ZIF-62 Frameworks for Advanced Fluoroquinolone Removal and Bacterial Inhibition: Machine Learning-Driven Performance Prediction and Optimization (Under review)

Education

2025---

PHD COMPUTER SCIENCES, GREEN INTERNATIONAL UNIVERSITY, LAHORE.

2019-2021

MPHIL COMPUTER SCIENCES, LAHORE LEADS UNIVERSITY, LAHORE

Worked in Data sciences and Artificial intelligence with the thesis title “DEEP LEARNING IN MENTAL HEALTH, A SYSTEMATIC REVIEW”.

2015-2019

BACHELORS IN COMPUTER SCIENCES, BAHAUDIN ZAKARIYA UNIVERSITY, MULTAN

 

Experience

2026--- LECTURER, National University of Modern Language, Lahore

  • Teaching Object oriented programming.
  • Teaching Artificial Intelligence
  • Teaching Database with MySQL.
  • Teaching web development.
  • Teaching Data sciences and machine learning.

2024-2026 LECTURER, Minhaj university Lahore

  • Teaching Artificial Intelligence
  • Teaching Database with MySQL.
  • Teaching web development.
  • Teaching Data sciences and machine learning.

2022 -2024 LECTURER, LAHORE INSTITUTE OF SCIENCE AND TECHNOLOGY

  • Taught Database with MySQL.
  • Teaching Artificial Intelligence
  • Taught web development.
  • Taught Data sciences and machine learning.

2017 - 2019 FRONT END DEVELOPER, SERVICES GROUND, SAHIWAL

  • Develop new user-facing features
  • Ensure the technical feasibility of UI/UX designs
  • To build front end of multiple websites / prototypes
  • Optimize application for maximum speed and scalability
  • Collaborate with other team members and stakeholders
  • Assure that all user input is validated before submitting to back-end
  • Timely delivery of assigned projects
  • Worked on HTML, CSS, Bootstrap, JQuery and Javascript.

Publications

 A Comparative Study of Different Denoising Techniques in Digital Image Processing

 Systematic review: Machine learning and deep learning based prostate cancer prediction

 Comparative Analysis of Machine Learning Algorithms for Breast Cancer Detection: A Study of Support Vector Classification, Logistic Regression

 Prognosis of Breast Cancer using Machine Learning Techniques and Analyzing Food Habits of Pakistani Women  Synergetic ZIF-8@ZIF-62 Frameworks for Advanced Fluoroquinolone Removal and Bacterial Inhibition: Machine Learning-Driven Performance Prediction and Optimization (Under review)

Interests

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