Mr. Naveed Yousuf

Lecturer (CS)

Introduction

I am Naveed Yousuf, a Lecturer in the Department of Computer Science with extensive teaching experience at institutions like NUTECH Islamabad and UMT Sialkot. My primary research interests include cybersecurity, Computer Vision, and data science, with a focus on improving network security and threat detection. I am passionate about equipping students with a strong theoretical foundation and practical skills to thrive in the dynamic tech world. My teaching philosophy revolves around fostering critical thinking and innovation to prepare students for real-world challenges.

Experience

Lecturer, Department of Computer Science, National University of Technology, Islamabad (2024–Present)

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  • Teach undergraduate courses in AI, Computer Networks, and Programming.
  • Advise Undergraduate students on research projects related to Computer Networks, Web Technology and computer vision.
  • Developed new course materials and assignments to better integrate industry-relevant technologies into the curriculum.

Lecturer, Department of Computer Science, University of Management and Technology (2022–2024)

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  • Taught introductory programming courses, including (C, C++ and Java) and Also Taught Computing Courses Including (theory of automata and Compiler Construction) for undergraduate students.
  • Developed new course materials and assignments to better integrate industry-relevant technologies into the curriculum.

Qualification

  • Academia:
    • MS. in Computer Science, Government College University Faisalabad (2021)
    • BS. in Computer Science, Government College University Faisalabad (2017)
  • Trainings and Certifications
    • Introduction to Cybersecurity, CISCO Networking Academy (2024)
    • Cybersecurity Training Workshops, Ignite, Pakistan (2024)
    • Integrating IEEE eBooks & eLearning Courses in your curriculum: IEEE (2024)
    • Publishing Open Access with IEEE, IEEE (2024)
    • Promoting your research articles: Tools & services, IEEE (2024)
    • Create a Lead Generation Messenger Chatbot Using Chatfuel, Coursera (2024)
    • Create a Google Ads Search Campaign, Coursera (2024)
    • Arts & Science of Teaching and Learning in Higher Education(ASTLHE), UMT (2023)

Taught Courses

I have taught a variety of undergraduate-level courses in the Computer Science Department. Below are the courses I have been involved in teaching:

  • Introduction to Programming (CS101)
    An introductory course focusing on programming concepts using Python, covering topics such as variables, control structures, functions, and basic data structures.
  • Data Structures and Algorithms (CS202)
    A core course that covers fundamental data structures (e.g., arrays, linked lists, trees, graphs) and algorithmic techniques (e.g., sorting, searching, recursion) with a focus on computational complexity.
  • Computer Networks (CS270)
    A core course that covers the fundamental concepts of computer networking, including network models (OSI and TCP/IP), data communication, routing, switching, network protocols, and security. The course emphasizes practical implementation and troubleshooting of networks.
  • Theory of Automata (CS301)
    A core course that delves into formal languages, finite automata, pushdown automata, and Turing machines. It explores the mathematical foundations of computation, focusing on language recognition, decidability, and complexity theory.
  • Software Quality Engineering (CS305)
    A specialized course that focuses on the principles, techniques, and tools for ensuring software quality. Topics include software testing, quality assurance, process improvement, and metrics for evaluating software reliability, efficiency, and maintainability.

Research

My research focuses on the intersection of Computer Networks, Machine Learning and Computer Vision. I am currently working on several projects that apply AI techniques to healthcare, and Transportation, such as developing algorithms for automated diagnosis and personalized treatment recommendations.

    • Ongoing Research Projects:

      • Accurate Skin Cancer Segmentation and Classification Using Deep learning
      • Enhancing the Accuracy of Vehicle Number Plate Recognition with a deep learning Model and Image Enhancement in Smoggy Area
    • Publications:
      • Gait-CNN21:” A Two Phase Human Gait Recognition Technique for frontal View Analysis”. “International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)” (Accepted)