Touraj BaniRostam
A lifelong learner, Touraj BaniRostam began his academic journey with a Bachelor of Engineering in Computer Hardware Engineering, followed by a Master of Engineering in Artificial Intelligence and Robotics, where he focused on odometry errors in mobile robots. He then completed a PhD in Artificial Intelligence, with research on self-management in multi-agent systems. His interest in cognitive science led him to pursue a Master of Science in Psychology, deepening his understanding of human cognition. He furthered his studies with a Master of Arts in Philosophy of Mind, writing his thesis on computational embodied cognition.
Touraj’s research focuses on applied machine learning, data analytics, and intelligent decision support systems. His work emphasizes real-world, data-driven decision-making across domains such as health care, intelligent systems, and analytics-intensive environments. He has supervised and advised over 80 master’s theses and five PhD dissertations and has authored or co-authored more than 90 peer-reviewed publications in international journals and conference proceedings.
Touraj’s teaching philosophy is grounded in active, project-based, and student-centered learning. His courses integrate strong theoretical foundations with practical applications using real-world datasets and industry-relevant tools, fostering critical thinking, technical competence, and decision-oriented problem solving within an inclusive learning environment.
Courses taught
Machine Learning, Advanced Data Visualization, Data Warehousing and Visualization
Areas of academic interest
Artificial Intelligence, data mining, optimization, machine learning, cognitive decision making
Areas of specialization
Machine Learning, Data Analysis
Publications
Author and co-author of more than 80 peer-reviewed journal articles and international conference papers in artificial intelligence, machine learning, data analytics, intelligent decision support systems, and applied data science.
