OUR TEAM

Introduction

I am Mohsin Suleman, a Junior Lab Engineer in the Department of Computer Science at National University of Technology. With over 12 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

Junior Lab Engineer, Department of Computer Science, NUTECH University (2021–date)

• • Teach undergraduate Labs in Data Structures, Database Systems, Digital Logic Design and Artificial Intelligence.
  • Department Coordinator, Program Manager, assists department administrative tasks.

Equipment Analyst/Laboratory Technician, (2013–2021)

• • Responsible for different medical equipment for Undergraduate and Post Graduate students.

Data Entry Operator, (2011–2013)

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

Qualification

• Academia:
  • Master of Science in Data Science, Riphah International University, Islamabad (2023)
  • Bachelor of Science in Computer Science Hamdard University, Islamabad, (2016)

Taught Courses

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

• Data Structures Lab

Focuses on the study and implementation of essential data structures such as arrays, linked lists, stacks, queues, trees, and graphs. The course emphasizes algorithm design, computational efficiency, and the practical application of data structures in problem-solving.

• Artificial Intelligence Lab

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.

• Digital Logic Design Lab

Covers the foundational principles of digital systems, including number systems, Boolean algebra, combinational and sequential circuit design, and the functionality of logic gates. The course provides hands-on experience in designing and analyzing digital circuits.

• Database Systems Lab

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

• Computer Organization and Assembly Language Lab

Explores the fundamental concepts of computer architecture, including the organization and operation of computer hardware components, instruction set architecture, and performance optimization. The course also delves into assembly language programming, emphasizing low-level coding, memory management, and system-level programming techniques.

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:
    • 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.