OUR TEAM

Introduction

I am Noushin Saba, a Lecturer in the Department of Computer Science at National University of Technology. With over 5 years of experience in both academia and the tech industry, my primary research interests lie in Artificial Intelligence (AI), Machine Learning, Data Science, Software Development. Driven by a relentless curiosity and a desire to push the boundaries of knowledge, my goal is to leverage my technical skills, innovative mindset, and deep understanding of these domains to contribute to groundbreaking advancements in Machine Learning, Deep Learning, Computer Vision, and Explainable AI.

Experience

Lecturer, Department of Computer Science, NUTECH University (2024–Present)

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• Teach undergraduate Courses in Programming Fundamentals, Object Oriented Programming, Database Systems, Artificial Intelligence.

• Act as co-supervisor for Final Year Project.

• Assisted in department administrative tasks.

Senior Lab Engineer, Department of Computer Science, NUTECH University (2022–2024)

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• Teach undergraduate Labs in Programming Fundamentals, Object Oriented Programming, Database Systems, Artificial Intelligence.
• Assisted in department administrative tasks.

Full Stack Developer, Aiztek Technologies, (2021–2022)

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• Part of a fast-paced and dedicated team that works together to develop software to provide clients with the highest possible level of service and advice.

Research Engineer, R&D (MCS) Military College of Signals, (2019–2021)

• Responsible for the development of different projects using different software technologies assigned by the organization as part of the Software team

Instructor, Pakland School and College, (2016–2017)

• Responsible for teaching computing subjects to Intermediate students

Qualification

• Academia:
  • Master of Science in Computer Science University of Engineering and Technology, Taxila (2019)
  • Bachelor of Science in Computer Science International Islamic University, Islamabad, (2016)

Taught Courses

I have taught a variety of undergraduate courses along with their labs in the Computer Science Department. Below are the courses I have been involved in teaching:

• Programming Fundamentals

Introduces foundational programming concepts using C++, including variables, control structures, functions, and basic data structures.

• Object-Oriented Programming

Explores key object-oriented concepts and fundamental data structures, such as arrays, linked lists, trees, and graphs, alongside algorithmic techniques like sorting, searching, and recursion. Emphasis is placed on computational complexity.

• Artificial Intelligence

Covers principles and techniques in AI, including search algorithms, knowledge representation, reasoning, machine learning, and natural language processing, focusing on both theoretical and practical applications.

• Application of Information and Communication Technologies

Explores the theory and applications of ICT, including the history of computers and their impact on modern technology and society.

• Database Systems

Focuses on database design, management, and application, including relational database theory, structured query language (SQL), and data modeling concepts.

Research

My research lies at the intersection of computer vision, image processing, machine learning, and deep learning. I am particularly interested in developing innovative AI-driven solutions for real-world challenges, with a strong focus on healthcare applications. My current projects involve designing advanced algorithms for automated diagnosis, enhancing image interpretation, and enabling personalized treatment recommendations through explainable AI techniques.

• • Ongoing Research Projects:
    • Noushin Saba, Afia Zafar, Mohsin Suleman, Kainat Zafar, Shahneer Zafar, Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Iqbal and Syed Sajid Ullah, "A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance", Under Review in IEEE Access (2024)
    • Afia Zafar, Noushin Saba, Mohsin Suleman, Carlos Osorio Garcia, Alina Eugenia Pascual Barrera and Imran Ashraf, "Multi-objective Evolutionary Algorithm based on Decomposition and DenseNet-based Hybrid Approach for Enhanced Lung Cancer Detection", Under Review in IEEE Access (2024)
    • Mohsin Suleman, Noushin Saba, Afia Zafar, Ali Arshad, Saman Riaz, Adeel Zafar, Syed Muhammad Sajjad, Muhammad Nadeem, Amerah Alabrah"A Proposed Classification Approach for Malicious Traffic Detection using XGBoost and IDCNN", Submitted in Symmetry, MDPI (2024)
    • Mohsin Suleman, Afia Zafar, Noushin Saba, Shahneer Zafar, "The Future of AI in Healthcare: Ethical Considerations and Emerging Trends", Submitted in Book title: Artificial Intelligence: Ethics and Safety in Engineering Publisher: Springer, (2024)
  • Publications:
    • Muteb Aljasem, Aun Irtaza, Hafiz Malik, Noushin Saba , Ali Javed, Khalid Mahmood Malik, Mohammad Meharmohammadi, "Secure Automatic Speaker Verification (SASV) System Through sm-ALTP Features and Asymmetric Bagging," Published in IEEE Transactions on Information Forensics and Security (2021).
    • Afia Zafar, Nousin Saba, Ali Arshad, Saman Riaz, Mohsin Suleman, Shahneer Zafar, Muhammad Nadeem, Amerah Alabrah, " Convolutional Neural Networks: A Comprehensive Evaluation and Benchmarking of Pooling Layer Variants" Published in Symmetry, MDPI (2024)
    • Afia Zafar, Nazri Mohd Nawi, Noushin Saba, Kainat Zafar, Mohsin Suleman, Shahneer Zafar, "Comparative Assessment of Facial Expression Recognition Models for Unraveling Emotional Signals with Convolutional Neural Networks" Published in Recent Advances on Soft Computing and Data Mining. SCDM 2024. Lecture Notes in Networks and Systems, vol 1078. Springer, Cham.