Scope:
The Third International Workshop on Evolutionary Computing on Smart Healthcare Applications at WorldCist'25 -, aims to be a forum where researchers, practitioners and industry representatives have the opportunity to present and discuss ongoing work and the latest research results of meaningful contributions and systems in smart healthcare using evolutionary computing approaches. The concept of smart healthcare has seen a gradual increase with the expansion of information technology. Smart healthcare will use a new generation of information technologies, like artificial intelligence, the Internet of Things (IoT), cloud computing, and big data, to transform the conventional medical system in an all-around way, making healthcare highly effective, more personalised, and more convenient. Smart Health is a field that has grown into a subsection of electronic health (e-health) and smart cities. Smart cities are defined as cities strongly originated on information and communication technology that invest in social and human capital to enhance the standard of life of people through efficient mobility, participatory governance, sustainability and wise management of resources; at the same time, they guarantee the security and privacy of the people. Depending on computer technology and large biomedical data, computational medicine was a disciplinary subject merging mathematics, medicine, biology, computer science, and many more. It employs the technique of artificial intelligence (AI) to perceptively comprehend the principle and physiological system of human illnesses through analyses in big data. It offers valuable data and direction for disease estimation, medical services, and clinical diagnosis. Evolutionary Computing covers several nature-inspired computational methodologies, mainly artificial neural networks (ANNs), fuzzy sets, genetic algorithms (GAs), Swarm Intelligence, and their hybridizations for addressing real-world problems to which conventional modelling can be useless due to several reasons such as complexity, existent of uncertainties, and the stochastic nature of the processes. Given the success of evolutionary computing methods and techniques in healthcare applications, they are expected to be applied successfully to solve medical issues. The focus of this workshop is to carry out the research article, which could be more focused on Smart Healthcare Applications, and it is expected that they can also be applied successfully to solve medical issues based on Evolutionary Computing.
List of topics of interest:
Topics of interest include (but are not limited to):
- Evolutionary Computing for recommendation in healthcare
- Medical imaging
- Biomedical imaging and image processing
- Medical text analysis
- Clinical diagnosis and therapy
- Clinical expert systems
- Modeling and simulation of medical processes
- Health Care Informatics
- Application of deep learning in biomedical engineering
- Transfer learning and multi-task learning
- Joint semantic segmentation, object detection on biomedical images
- New model of the new structure of a convolutional neural network
- Visualization and explainable deep neural network
Organizing Committee:
- Waqas Haider Bangyal, Senior Member IEEE, Kohsar University Murree, Pakistan,
This email address is being protected from spambots. You need JavaScript enabled to view it. - Jamil Ahmad, Senior Member IEEE, Member IT, Higher Education Commission, Pakistan,
This email address is being protected from spambots. You need JavaScript enabled to view it. - Muddesar Iqbal, College of Engineering, Prince Sultan University Riyadh, Saudi Arabia,
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Program Committee:
- Hongcheng Liu, University of Florida, USA
- Jingshan Li, University of Wisconsin, USA
- Xiaohong Zhaang, Taiyuan University of Science and Technology, China
- Fuyu Wang, Anhui University of Technology, China
- Dzulkifli Mohamad, University Technology Malaysia, Malaysia.
- Nauman Malik, NUML, Islamabad
- Muhammad Zubair, Gomal University, Pakistan
- Saad Abdullah Bangyal, Abasyn University, Islamabad, Pakistan
- Rabia, Lecturer Computing, FUUAST, Islamabad, Pakistan
- Sara, Lecturer, Computing, KUM, Pakistan
- Jamil Ahmad, Muhammad Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE.
- Bilal Jan, FATA University, Pakistan
- Sadiq Ahmed, Prince Sultan University, Saudi Arabia
- Muhammad Kabir, BMC, Lund University, Sweden
- Ahmed Sadek, Prince Sultan University, Saudi Arabia
