Dr Waddah Saeed

Waddah Saeed is a lecturer in data analytics and the deputy program leader of MSc Business Intelligence and Data Mining / Data Analytics in the school of computer science and informatics. He received his Ph.D. degree in information technology from Universiti Tun Hussein Onn Malaysia in 2019, accompanied by the Gold Award (Publication Category) for his thesis.

Before joining DMU, he was a postdoctoral research fellow at the University of Agder in Norway. Prior to this, he was a lecturer at the Asia Pacific University of Technology & Innovation (APU) in Malaysia.

The areas of research he is interested in are time series analysis and forecasting, machine learning, and explainable AI.

• Institute of Artificial Intelligence (IAI)
• Centre for Computing and Social Responsibility (CCSR)

A full and updated list of publications can be found in the Google Scholar link below.
https://scholar.google.com/citations?user=2pqJUFEAAAAJ

• Time series analysis and forecasting
• Machine learning
• Explainable AI (XAI)

• PhD in Information Technology.
• Master in Computer Science (Soft Computing).
• BSc in Computer Science.

Business Intelligence

• Gold Award (Publication Category), Universiti Tun Hussein Onn Malaysia, Malaysia, 2019.
• Best Paper Award, 3rd international conference of reliable information and communication technology, Malaysia, 2018.
• Best Paper Award, 2nd international conference on soft computing in data science, Malaysia, 2016.

• University Pedagogy Course, University of Agder, Norway, 2022.
• NVIDIA DLI Certificate – Fundamentals of Deep Learning for Multi-GPUs, NVIDIA Deep Learning Institute, 2021.