Human-Centric Intelligent Systems

The objectives of Human-Centric Intelligent Systems (HCIN) for submission in respect of a Special Issue are (a) academically excellence, (b) relevance to HCIN, and (c) innovation of topic.

Human-Centric Intelligent Systems invites authors to submit to the thematic special collection “Applications of Deep Learning in Affective Computing”, which aims to advance our understanding of emotions, human-computer interactions, and the potential of deep learning in creating empathetic and emotionally intelligent technologies, appealing to readers interested in this intersection.

The collection is edited by Prof. M.Murugappan, Prof. Diego Oliva and Prof. B.Vinoth Kumar.

Human-Centric Intelligent Systems invites authors to submit to the thematic special collection “Towards Controllable, Interpretable, Robust Representation Learning for Data-driven Modeling”, which focuses on all the topics highly-correlated to Controllable, Interpretable, Robust Representation Learning for Data-driven Modeling.

The collection is edited by Prof. Feng Zhao, Prof. Wei Wei and Prof. Lin Li.

Human-Centric Intelligent Systems invites authors to submit to the thematic special collection “Recent Advance on Artificial Intelligence and Operation Research in Supply Chain”, which is designed to highlight recent theoretical and methodological advancements, case studies, applications, technical contributions, survey results, and applications of tools and techniques to improve technological infrastructure in the application of AI and OR models to meet efficiency challenges and produce more cost-effective and sustainable solutions in logistics and supply chain management.

The collection is edited by Dr. Reza Lotfi, Prof. Gerhard-Wilhelm Weber and Prof. Sadia Samar Ali.