Hamid GholamHosseini is a Professor in the Department of Electrical and Electronic Engineering at Auckland University of Technology, New Zealand. He received his PhD in Biomedical Engineering from Flinders University, Australia, in 2002. Prior to this, he fulfilled his MSc in Electrical Engineering at the University of Tehran. His current research and development efforts span a range of fields, including the application of AI in healthcare, smart patient monitoring, biomedical signal and image processing, as well as embedded and reconfigurable systems.
Dr. GholamHosseini holds honorary and visiting professorships at the Pontifical Catholic University of Valparaíso (Chile), Mälardalen University (Sweden), and Guangdong University of Technology (China). He has contributed to over 200 book chapters, journal articles, and conference publications. As a Senior Member of IEEE and the Chapter Chair of Engineering in Medicine and Biology (EMB) for the IEEE New Zealand North Section, he remains highly active in professional networks. He has served as the principal investigator on several funded projects, including a recent initiative on Vital Signs Monitoring, funded by Precision Driven Health (PDH).
Speech Title: Development of Mobile Application for Skin Cancer Detection Using Deep Learning Models
Abstract: Artificial Intelligence (AI) has rapidly advanced in recent years, leading to a significant shift in its applications. This talk explores the crucial role of AI and Deep Learning techniques in healthcare with a special focus on melanoma detection. We evaluated four fine-tuned deep neural models; MobileNetV2, MobileNetV3, EfficientNetV2, and ResNet50 to explore their potential in accurately classifying skin lesions. Among these models, MobileNetV3 outperformed the others in categorizing four types of skin cancer. The developed app leverages the MobileNetV3 model to provide a quick and reliable tool for early diagnosis, thereby broadening access to life-saving interventions and reducing the burden of treatments on healthcare systems.
A. AMALIN PRINCE (Senior Member, IEEE) is a Professor and Head of the Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Goa Campus, India. He received his M.E. in Applied Electronics from the Sathyabama Institute of Science and Technology, Chennai, India, in 2005 and his Ph.D. from the Birla Institute of Technology and Science, Pilani, Rajasthan, India, in 2011. His research interests include FPGA-based System Design, Hardware Accelerated Data Processing, Affective Computing, and Applications of Artificial Intelligence.
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