The purpose of workshops at ICIC 2025 is to provide a comprehensive forum on topics that will not be fully explored during the main conference and to encourage in-depth discussions of future technical and application issues in Intelligent Computing Community. The workshop will also provide a platform for researchers of Intelligent Computing Community to set an agenda and lay the foundation for future development in Intelligent Computing Community. The number of accepted papers at each Workshop should be not less than 8 ones.
All the authors for each Workshop must follow the guidelines in CALL FOR PAPERS to prepare your submitted papers.
Proposals for Workshop should be submitted in ELECTRONIC FORMAT by http://www.ic-icc.cn/icg/index.php at Workshop Session.
|
Orders |
Title |
Organizers |
Nationality |
|
International Workshop on Evolutionary Computing and Deep Learning for Health Informatics |
Waqas
Haider Bangyal |
Pakistan |
1. International Workshop on Evolutionary Computing and Deep Learning for Health Informatics
Organizers:
Waqas Haider Bangyal
Kohsar University Murree, Pakistan
Email: waqas_bangyal@hotmail.com
Zia Ul Qayyum
Executive Director, Higher Education Commission,
Islamabad, Pakistan
Email: ziaqayum67@icloud.com
Liang Gao
Huazhong University of Science and Technology,
China
Email: gaoliang@mail.hust.edu.cn
Scope and Topics:
The International Workshop on Evolutionary Computing and Deep Learning for
Health Informatics at ICIC 2025 aims to be a forum where researchers,
practitioners and industry representatives have the opportunity to present and
discuss ongoing work and latest research results of meaningful contributes and
systems in health care using evolutionary computing approaches and deep
learning techniques. Similarly, explains the systems and effective research
contribution in health care using evolutionary computing approaches.
Evolutionary Computing covers a number of nature-inspired computational methodologies,
mainly Artificial Neural Networks ANNs , Fuzzy Sets, Genetic Algorithms GAs ,
Swarm Intelligence, and their hybridizations for addressing the real-world
problems. Due to the several reasons of conventional modeling such as
complexity, existent of uncertainties, and the stochastic nature of the
processes, conventional modeling approach is useless. According to the success
of evolutionary computing methods and techniques in health care applications,
it can be expected that these methods can also be applied successfully to solve
the medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic
Retinopathy, Heart disease and presentation of images captured via X-Ray,
Ultrasound, MRI, Nuclear Medicine and Visual Imaging technologies. In this context,
computational intelligence paradigms are comprising of numerous branches
including Neural Networks, Swarm Intelligence, Expert Systems, Evolutionary
Computing, Fuzzy Systems, and Artificial Immune systems can play a vital role
for handling the different aspects of health care. We invite such papers which
target the creativity, design, and engineering-related challenges such as new
algorithms, systems, methodology, datasets, evaluations, surveys, reproduced
results, and negative results. This workshop consists of invited talks and
contributed talks, and welcomes submission of both papers and short abstracts,
where all submissions will be subject to peer review. The topics of interest
include but are not limited to the following: Medical Imaging Medical Signal
Processing Medical Text Analysis Clinical Diagnosis and Therapy Data Mining
Medical Data and Records Clinical Expert Systems Modeling and Simulation of
Medical Processes Genomic-based Clinical Studies Patient-centric Care Health
Care Informatics Biomedical Imaging and Image Processing Evolutionary Computing
for Recommendation in Healthcare.