IEEE ESAS 2025 CFP
The 20th IEEE International Workshop on e-Health Systems & Web Technologies (In conjunction with the 49th IEEE International Conference on Computers, Software, and Applications, Toronto, Canada, July 8-11, 2025)
COMPSAC 2025 Theme: "Harnessing the Power of Intelligent Systems: Shaping the Future"
Workshop Organizers:
Atilla Elci, Hasan Kalyoncu University, Faculty of Engineering, TURKEY, Email: atilla.elci (at) gmail.com
Duygu Celik Ertugrul, Eastern Mediterranean University, Faculty of Engineering, Mersin-10, TURKEY, Email: duygucelik (at) msn.com, duygu.celik (at) emu.edu.tr
Call for Papers:
Workshop papers due: 15 April 2025
Workshop paper notifications: 01 May 2025
We invite academics, practitioners, and technology experts to submit their original research on innovative technologies, advanced systems, and transformative solutions in the field of digital health to ESAS 2025. This workshop aims to provide a platform to discuss how AI-supported advanced technological solutions are shaping the future of healthcare. The following topics are included, but are not limited to, the areas of interest listed below:
Track 1: Smart Health And Applications
Health Management and Analytics; Big Data; IoT (Internet of Things) and IoE (Internet of Everything) for Health; IoT Medical Devices; Electronic Health Records; Knowledge Management; Machine Learning; Data Mining; Text Mining; Social Media Applications and Services; Clinical Decision Support Systems; Expert Systems; Software Architectures for Healthcare; Semantic Web Technologies; Biomedical Software Solutions; Health Informatics; Modeling of Health Services; Security, Privacy, and Protection of Personal Health Data; Wearable Devices; Telecare and Telehealth; Home Monitoring Systems; Advanced Computing Techniques; Active and Healthy Aging; Blockchain; IoT, Fog, and Cloud Computing; Wireless Body Area Sensor Networks; and Energy Efficiency and Communication in IoT Devices.
Track 2: Artificial Intelligence, Web Technologies, and Data (AIWD)
Data Science and Machine Learning (ML) Models and Applications; ML-Based Schema Matching, Instance Matching, Search, and Retrieval; Data Mining and Applications; Deep Learning and Applications; Big Data Analytics and Applications; Information Retrieval and Applications; Linked Data; Data-Driven Services and Applications; Semantic Web, Ontology, and Web Services; Data Management and Analytics; Cyber-Physical Systems; Smart Distributed Systems, Edge Computing, and Streaming Data Analysis; Multi-Agent Systems; and Other Smart Applications and Solutions (e.g., Smart City, Smart Home, etc.).
Track 3: Generative Pre-trained Transformer Models in e-Health, Web, and Recommendation Systems (GenLLM)
Methods and Applications of Generative AI such as ChatGPT, Amazon, Google, DeepMind, and Others in Health (e.g., Psychotherapy, Elderly Care, Protein Synthesis, Health Education, Machine-Assisted Surgery, Virtual Health Support, Accurate Diagnosis, etc.); Advanced Model Architectures for LLMs; Federated Learning for LLMs; LLMs in Chatbots, Content Generation, Feedback Systems, etc.; Natural Language Understanding and Generation Tasks Using LLMs (e.g., Storytelling, Marketing, Copywriting, etc.); LLMs for Recommendation Systems and Solutions; LLMs in Information Management and Filtering; LLMs on Social Networks; LLMs in Recommender Systems; Context-Aware Recommenders; LLMs in Human Decision-Making Solutions and Applications; Case Studies of Generative AI; and Collaborative Decision-Making Frameworks.
Track 4: Innovative Solutions in Telehealth and Remote Patient Monitoring (TeleHealth)
Telehealth Technologies and Applications; Remote Patient Monitoring Systems; Wearable Health Devices and Their Impact; Mobile Health (m-Health) Applications; Telemedicine Best Practices; Integration of Artificial Intelligence in Telehealth; Data Privacy and Security in Remote Health Solutions; Patient Engagement and Experience in Telehealth; Telehealth Policy and Regulation; Virtual Reality (VR) and Augmented Reality (AR) in Patient Care; Cost-Effectiveness of Telehealth Solutions; Challenges and Opportunities in Telehealth Adoption; and Case Studies of Successful Telehealth Implementations.
Journal and Book Publications
A sequel is being proposed to the successful ESAS Workshops Series (2006 – 2022) of the COMPSAC conferences.
Past ESAS journal special issues and book publications include the following:
- A special issue of the best papers of ESAS 2006 was published with An International Journal, IOS Press, ISSN 1574-1702; Volume 4, Number 3, 2008, pp: 293-346.
- The authors of the papers accepted at ESAS 2007 and ESAS 2008 were invited to submit extended versions of their papers for publication in the special issue on Engineering Semantic Agent Systems of Expert Systems: The Journal of Knowledge Engineering by Wiley-Blackwell Publishing. Vol 28, No. 5, 2011, pp: 410-487.
- The authors of ESAS 2009/10 were invited to submit an extended and revised version of their papers for publication in an edited volume titled Semantic Agent Systems: Foundations and Applications by Springer-Verlag. The book has been published (http://www.springer.com/engineering/mathematical/book/978-3-642-18307-2.
- The submissions of the ESAS special issue topic of “e-Health and Staying Smarter" for the Expert Systems: The Journal of Knowledge Engineering (IF 1.505) resulted actually in the following two SIs and additional three regular papers in the February issue of 2020: (https://onlinelibrary.wiley.com/toc/14680394/2020/37/1):
Likewise, a book project for the current and past ESAS papers is likely to be offered; more to follow.
Paper Submission:
Submissions: Submit your paper (up to six pages in the prescribed format) to the EasyChair online by using the "Paper Submission" link from the ESAS 2025 page.
· Please see the drop-down menu tab “information-for-authors" at https://ieeecompsac.computer.org/2023/esas-2023/
Accepted papers will be published in COMPSAC Proceedings at IEEE Xplore which is indexed by several popular indexing services.
Expected number of workshop sessions: One session depending on the number of accepted papers.
