Dr. Saad B. Ahmed
Dr. Saad B. Ahmed held the position of Postdoctoral Associate at the University of Western Ontario in Canada. He earned his Doctor of Philosophy (PhD in Computer Sciences) from Universiti Teknologi Malaysia (UTM) in Kuala Lumpur, Malaysia. His educational background also includes a Master's degree in Computer Science (Intelligent Systems) from Technische Universität Kaiserslautern (TUKL) in Germany, and another Master's degree in Computer Science (Software Engineering) from IQRA University in Islamabad, Pakistan. Additionally, he completed his Bachelor's degree in Computer Science from Allama Iqbal Open University (AIOU) in Islamabad, Pakistan.
Dr. Saad has an extensive academic career spanning over a decade. During this time, he has gained valuable experience in teaching a wide range of computer science courses. These courses include but are not limited to computer programming, natural language processing, machine learning, computer fundamentals, modern software engineering, object-oriented analysis and design, analysis of algorithms, design fundamentals, and computer graphics. Dr. Saad has shared his expertise with both undergraduate and graduate students at various esteemed universities, including the University of Western Ontario in Canada, King Saud bin Abdulaziz University for Health Sciences in Riyadh, Kingdom of Saudi Arabia, Allama Iqbal Open University in Islamabad, Iqra University in Islamabad, and COMSATS University in Abbottabad, Pakistan.
Following are the list of courses Dr. Saad is teaching at Lakehead University.
- COMP 5411 SS (2025) – Hyperspectral Imaging Systems
- COMP 5421 WA (2025) – Deep Learning
- COMP 5011 FA (2023/24) – Machine Learning and Neural Networks
- COMP 5041 AA (2024) – Special Topics in Deep Learning
- COMP 4433 WA (2024/25) – Design and Analysis of Algorithms
- COMP 4471 WA (2024/25) – Computer Graphics
- COMP 4475 WA (2023/24) – Topics in AI
- COMP 4111 FA (2023/24) – Clinical Decision Support
- COMP 1411 FC (2023/24) – Programming Language
- COMP 5800/9800 (2024/25) – Project
Dr. Saad's research focuses on Artificial Intelligence and Machine Learning, especially on building systems that can understand complex data such as images, text, and real-world signals. He is particularly interested in making these systems more reliable, interpretable, and useful in practical applications like healthcare, document analysis, and decision support. He also explores emerging areas such as explainable AI, multimodal learning, and the integration of AI with quantum computing addition to his research pursuits, Dr. Saad is currently engaged in mentoring Master's thesis students. If you share an interest in his area of expertise and wish to explore potential research collaboration via email for further discussions and opportunities.
Sample Research Outcomes
