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Faculty Details

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Ms. Samra Shahzadi

Lecturer, Computer Sciences Department

Ms. Samra Shahzadi is a Lecturer in the Department of Computer Science at Arid University-Barani Institute of Sciences, Burewala Campus. With a strong academic foundation and a dual focus on teaching and research, she brings both dedication and innovation to the classroom. Having taught at institutions such as the University of Gujrat (UOG) and the University of Sialkot (USKT), she has successfully delivered a range of core computing courses, including Data Structures and Algorithms, Programming Fundamentals, Visual Programming, and Web Development. Ms. Shahzadi is also actively engaged in academic content creation through her YouTube channel, where she shares practical demonstrations related to desktop and web application development. A passionate researcher, she has published multiple papers and is currently pursuing a PhD with a focus on hybrid AI systems, including ANFIS and meta-learning. Her current research spans the healthcare, finance, and agriculture domains. Deeply committed to student success and technological advancement, she continues to inspire learners while contributing to the evolving field of intelligent systems.

Biography

Ms. Samra Shahzadi is a dedicated academic and educator, currently serving as a Lecturer in the Department of Computer Science at Arid University-Barani Institute of Sciences, Burewala Campus. With a strong academic background that includes both BS and MS degrees in Computer Science and an ongoing PhD pursuit, Ms. Shahzadi has built her career around teaching excellence and impactful research. Her areas of interest include artificial intelligence, hybrid neuro-fuzzy systems, and meta-learning, particularly with applications in healthcare, finance, and agriculture.

As a Lecturer, she has taught at multiple reputable institutions including the University of Gujrat (UOG) and the University of Sialkot (USKT), delivering a wide range of courses such as Programming Fundamentals, Data Structures and Algorithms, Visual Programming, and Web Application Development. Ms. Shahzadi emphasizes practical knowledge and student engagement, also extending her teaching impact through a dedicated YouTube channel focused on hands-on programming tutorials.Her research contributions include several published papers and innovative work on ANFIS hybrid models. Passionate about bridging theoretical knowledge with real-world problem-solving, she continues to mentor students and contribute to the advancement of intelligent systems.

Education Qualification and Experience

Educational Qualifications

  • Ph.D. in Computer Science (In Progress)
    University of Gujrat (UOG), Pakistan
    Research Focus: Hybrid AI Systems with Applications in Healthcare, Finance, and Agriculture
  • MS in Information Technology
    University of Gujrat (UOG), Pakistan
    Thesis: End-to-End Detection and Classification of Alzheimer Disease
    Published two research papers during the program in AI and data science.
  • BS in Information Technology
    GC Women University Sialkot (GCWUS), Pakistan
    Focused on programming, algorithms, software engineering, and web technologies.

Professional Experience

  • Lecturer
    Department of Computer Science, Arid University, Burewala Campus
    Teaching: Programming Fundamentals, Data Structures and Algorithms, Visual Programming, Web Development.
  • Former Lecturer
    University of Gujrat (UOG) and University of Sialkot (USKT)
    Experience in teaching, student mentorship, and project supervision.
  • Content Creator and Tech Educator
    YouTube channel for desktop and web application development tutorials with real-time coding demonstrations.

Research & Publications

  • 2024 - "Towards the development of believable agents: Adopting neural architectures and adaptive neuro-fuzzy inference system via playback of human traces"
    Journal of King Saud University - Computer and Information Sciences (Elsevier, IF: 5.2)
  • 2023 - "Determination of affected brain regions at various stages of Alzheimer's disease"
    Neuroscience Research (Elsevier, IF: 3.59)
  • 2023 - "Voxel Extraction and Multiclass Classification of Identified Brain Regions across Various Stages of Alzheimer’s Disease Using Machine Learning Approaches"
    Diagnostics (MDPI, IF: 3.0)

Technical Skills

  • Programming & Application Development: Python, Django, TensorFlow, PyTorch, Visual Programming, C, C++, C#, Java, PHP
  • Web Technologies: HTML5, CSS3, JavaScript, Bootstrap, jQuery, ASP.NET Core, AngularJS, AJAX
  • Database Management: MySQL, MS Access, MS SQL Server (2018), PostgreSQL
  • Software & Tools: MS Office, Adobe Dreamweaver, Adobe Photoshop, Visual Studio, MATLAB, SPM8/SPM12, Anaconda, Camtasia, LaTeX
  • Languages: English, Urdu, Punjabi (Fluent – verbal and written)

Certifications & Awards

  • Web Development Certification – Theta Solution
    Full-stack development training by Usman Nazir (CEO, Theta Solution)
  • ASCII ’17 – Quick Debugging Competition
    National-level competition at International Islamic University, Islamabad
  • MS Word Training – Microsoft Office Corporation
    Official certification in Microsoft Word

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