Azeem Aftab is a Senior Lecturer in the Faculty of Engineering Sciences and Technology at Iqra University, Karachi, Pakistan, with around 15 years of professional experience, including over 13 years in academia. He holds a Bachelor’s degree in Electronics Engineering and two Master’s degrees, one in Computer Science and the other in Telecommunication. He is currently pursuing a Ph.D. in Computer Science at NED University of Engineering and Technology, Pakistan. His professional and research interests include health analytics, data analysis, image processing, and machine learning. His recent research focuses on student anxiety and its associated factors, particularly through the integration of physiological data acquired using wearable biosensors with machine learning techniques to identify, monitor, and predict patterns of psychological stress. His work aims to develop intelligent systems for early detection and personalized intervention to support student mental health. He has co-authored scholarly publications in these areas and has experience in interdisciplinary research and collaboration. He is a Registered Engineer with the Pakistan Engineering Council and a member of the Institute of Electrical and Electronics Engineers (IEEE).
Azeem Aftab is a Senior Lecturer in the Faculty of Engineering Sciences and Technology at Iqra University, Karachi, Pakistan, with around 15 years of professional experience, including over 13 years in academia. He holds a Bachelor’s degree in Electronics Engineering and two Master’s degrees, one in Computer Science and the other in Telecommunication. He is currently pursuing a Ph.D. in Computer Science at NED University of Engineering and Technology, Pakistan. His professional and research interests include health analytics, data analysis, image processing, and machine learning. His recent research focuses on student anxiety and its associated factors, particularly through the integration of physiological data acquired using wearable biosensors with machine learning techniques to identify, monitor, and predict patterns of psychological stress. His work aims to develop intelligent systems for early detection and personalized intervention to support student mental health. He has co-authored scholarly publications in these areas and has experience in interdisciplinary research and collaboration. He is a Registered Engineer with the Pakistan Engineering Council and a member of the Institute of Electrical and Electronics Engineers (IEEE).