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Dr. Muhammad Ramzan

Assistant Professor & Head of Computer Science Department

Dr. Muhammad Ramzan serves as the Head of the Computer Science Department and Assistant Professor at the Gujrat Institute of Management Sciences, affiliated with PMAS-Arid Agriculture University, Rawalpindi. In his dual role, he is responsible for leading the department's academic and research initiatives while also contributing to teaching and student mentorship. Through his expertise and dedication, Dr. Ramzan fosters an environment of academic rigor and innovation, ensuring that the department continues to excel in both research and education. With a deep-rooted passion for advancing technology, Dr. Ramzan has dedicated his career to exploring cutting-edge developments in artificial intelligence, image processing, and machine learning. His extensive research has not only enriched the academic community but has also paved the way for practical solutions to complex, real-world challenges. 

Biography

Dr. Muhammad Ramzan is a distinguished scholar and educator, currently serving as the Head of the Computer Science Department and Assistant Professor at the Gujrat Institute of Management Sciences, affiliated with PMAS-Arid Agriculture University, Rawalpindi. With a PhD in Computer Science and specialized expertise in image processing, computer vision, machine learning, and deep learning, Dr. Ramzan has made significant contributions to the fields of artificial intelligence and computer science.

In his role as Assistant Professor, Dr. Ramzan is deeply committed to delivering a high-quality education, guiding students in foundational and advanced topics in computer science. His teaching style emphasizes critical thinking and hands-on experience, preparing students to tackle real-world challenges in technology. Dr. Ramzan is dedicated to mentoring aspiring researchers, instilling a passion for innovation and academic excellence.

Education Qualification and Experience

  • Ph.D. in Computer Science
    COMSATS University Islamabad, Wah Campus
    Specialization: Image Processing and Computer Vision
    Thesis: Machine Learning-based Analysis of Gastrointestinal Tract using Endoscopic Frames

  • MS in Electrical Engineering (Computer Engineering)
    COMSATS University Islamabad, Wah Campus
    Specialization: Control Systems and Machine Learning (ANN)
    Thesis: ANN-based Adaptive Disturbance Model for Model Predictive Control

  • Master of Computer Science
    Northern University, Nowshera, KPK, Pakistan
    Thesis: Online Remote Control Examination Systems

  • Bachelor of Technology in Electronics and Communication
    University of Engineering and Technology, Lahore
    Thesis: PLC-based Alarming and Acknowledgment System for Power House

Professional Experience

  • Assistant Professor & Head of Computer Science Department
    Gujrat Institute of Management Sciences, PMAS Arid Agriculture University RWP
    Gujrat, Pakistan (September 2024 – Present)

    • Leads curriculum development and faculty recruitment.
    • Drives departmental research initiatives, ensuring adequate infrastructure and resources.
    • Cultivates industry partnerships and alumni engagement to support students' career growth.
    • Develops and implements strategic departmental goals to ensure academic excellence.

  • Research Officer
    National Aerospace Science and Technology Park (NASTP)
    Attock Kamra, Pakistan (September 2023 – September 2024)

    • Conducted research focused on IT solutions for aerospace, cybersecurity, and AI.
    • Led interdisciplinary projects, developed algorithms, and maintained NASTP’s IT infrastructure.
    • Published significant research findings, contributing to aerospace technology innovation.

  • Visiting Faculty Member
    COMSATS University Islamabad, Attock Campus
    Attock, Pakistan (September 2023 – Present)

    • Specializes in teaching Algorithms and Data Structures.
    • Engages students through interactive learning experiences and advanced instructional techniques.

  • Researcher & Visiting Faculty Member
    COMSATS University Islamabad, Wah Campus
    Wah Cantt, Pakistan (September 2018 – January 2022)

    • Conducted pioneering research in machine learning and deep learning applications for computer vision.
    • Published extensively and presented at international conferences.
    • Taught courses across computer science domains and mentored student research projects.

  • Software Analyst
    APF PAC Kamra
    Kamra Attock, Pakistan (October 2012 – February 2018)

    • Developed data-driven applications and led software projects focused on optimization and automation.
    • Ensured seamless system functionalities and supported end-users with technical training.

Research & Publications

  1. 2024 - "Real-Time Polyp Detection from Endoscopic Images using YOLOv8" (Frontiers in Oncology, Impact Factor: 4.7)
  2. 2023 - "Gastrointestinal Tract Disorders Classification with InceptionNet and GITNet" (PLOS ONE, Impact Factor: 3.7)
  3. 2022 - "Gastrointestinal Tract Polyp Segmentation using Graft-U-Net" (Journal of Personalized Medicine, Impact Factor: 3.4)

Technical Skills

  • Programming & Software Development: Python (Django, TensorFlow, PyTorch), MATLAB (for machine learning and image processing), Web Development (HTML, CSS, JavaScript).
  • Database Management: MySQL, PostgreSQL, MS SQL Server.
  • Languages: Proficient in English, Urdu, Punjabi.

Certifications & Awards

  • Coursera (2023) - Generative AI for Everyone
  • GAT Subject – Computer Science (2018)
  • Prime Minister’s National Laptop Scheme (2017)

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