Human-Centric Intelligent Systems - Call for Papers for the Special Issue: Artificial Intelligence and Knowledge Processing in different Sectors: Methods and Applications
Guest Editors
Prof. Hemachandran K
Professor, School of Business, Woxsen University, Hyderabad, India
Prof. Raul Villamarin Rodriguez
Professor, School of Business, Woxsen University, Hyderabad, India
Prof. Zita Zoltay Paprika
Former dean of Corvinus University of Budapest, Hungary
Prof. Manjeet Rege
Professor, Software Engineering and Data Science, University of St.Thomas, MN, USA
Aims and Scope
Artificial Intelligence & Knowledge Processing is playing a vital role in changing most of the sectors’ processes and landscape. AI has an enormous impact on various automation industries and their functioning converting traditional industries to AI-based factories. New algorithms are changing the way business processes and results are analysed and predicted. Knowledge processing is the act of comprehending and then representing human knowledge in data structures; semantic models, which are conceptual diagrams of data as they relate to the real world; and heuristics, which are principles that lead to answers to every AI challenge.
The way how a human think, knowledge processing transforms the data into knowledge and makes the machine think like a human and makes better decisions. This makes the humans work simple, but it has some ethical concerns that need to be sorted out. This AI and knowledge processing addresses the drawbacks and challenges in current practices in various sectors. The research area includes Artificial Intelligence, Deep Learning, Machine Learning, Decision Support Systems, Knowledge representation, semantics, Bigdata analytics, Intelligent systems, high performance computing, fuzzy based neural networks and other fields.
Main topics and quality control
This special issue intends to bring together the most recent developments in research, industry best practises, problems, and challenges related to Applied Artificial Intelligence and knowledge processing in various sectors. We welcome unpublished, original submissions on any topic linked to Artificial Intelligence and Knowledge Processing, not only the ones listed here.
- Applied Artificial Intelligence
AI systems for managing activities in business, industry, administration, and education; evaluations of current AI tools and systems, with a focus on user experiences and comparative research; and the economic, social, and cultural effects of AI.
- Human Computer Interaction
Human Computer Interaction on the IoT, Robot Interaction, Multilingual Speech Processing, Natural Language Processing, Smart City, Smart Manufacturing and emerging Technologies.
- Decision Support Systems
Ensemble models for future predictions, Dimensionality Reduction, ANN model for analytics, Recommendation Systems for customers, Expert Systems for better decision making, Decision-Based Systems for various sectors, Computer vision for automatic vehicles
- Knowledge Processing in Networks
Semantic Web, Ontology Engineering, Ontology Matching and Alignment, Ontology Sharing and Reuse, Natural Language Processing, Business Process Management, Enterprise Engineering, Domain Ontologies, Applications and Case-Studies, Domain Analysis and Modelling, Enterprise Ontology, Integration and Interoperability, Knowledge Graph, Knowledge Acquisition, Knowledge Engineering, Knowledge Representation, Ontology Tools, Reference Models, Foundational Ontologies, Ontology Design Patterns.
Full papers will be subject to a strict review procedure for final selection to this special issue based on the following criteria:
1. Quality and originality in theory and methodology of the special issue.
2. Relevance to the topic of the special issue.
3. Application orientation which exhibits novelty.
4. If there is an implementation, the details of the implementation must be provided.
5. Presence of the following statements (if applicable): disclosure of potential conflicts of interest, research involving human participants and/or animals, informed consent.
Important dates
Open date: 31 January 2023
Close date: 30 November 2023
Submit your paper
All papers have to be submitted via the Editorial Manager online submission and peer review system. Instructions will be provided on screen and you will be stepwise guided through the process of uploading all the relevant article details and files associated with your submission. During submission authors should indicate that their manuscript belongs to the special issue “Artificial Intelligence and Knowledge Processing in different Sectors: Methods and Applications” (this question will appear at “Additional Information” step). All manuscripts must be in the English language.
To access the online submission site for the journal, please visit https://www.editorialmanager.com/hcin/default1.aspx (this opens in a new tab). Note that if this is the first time that you submit to the Human-Centric Intelligent Systems, you need to register as a user of the system first.
NOTE: Before submitting your paper, please make sure to review the journal's Author Guidelines (this opens in a new tab) first.
After Acceptance
This special issue will be published as a virtual collection that will be accessible at SpringerLink.
Accepted papers will be published online within about 20 days after acceptance, fully citable by DOI (Digital Object Identifier), prior to publication in the issue.”
Introduction of the Guest Editors
[Prof. Hemachandran K]
Professor, School of Business, Woxsen University, Hyderabad, India
Home Page: https://www.linkedin.com/in/drhemachandrank/ (this opens in a new tab)
Dr. Hemachandran Kannan has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & Business Analytics. After receiving a PhD in embedded systems, He started focusing on Interdisciplinary research. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He was bestowed as Best faculty at Woxsen University in 2021-2022 and also in Ashoka Institute of Engineering & Technology in 2019 – 2020.
[Prof. Raul Villamarin Rodriguez]
[Professor, School of Business, Woxsen University, Hyderabad, India]
European Commission Expert ID: EX2019D368962
ORCID ID (Open Researcher and Contributor ID): 0000-0001-9831-905X
Masters Decoded Podcast available on Apple (https://podcasts.apple.com/us/podcast/ep26-dr-raul-villamarin-rodriguez-be-wanderer-rather/id1497451286?i=1000489607785) and Spotify (https://open.spotify.com/episode/06yaZFkSDChcP2yOC5hzL3)]
Dr. Raul Villamarin Rodriguez is the Vice President, Woxsen University and holds the Steven Pinker Professor of Cognitive Psychology and Classavo Chair Professorship in Integrative Research and Digital Learning. Dr. Rodríguez is an Adjunct Professor at Universidad del Externado, Colombia and member of the International Advisory Board at IBS Ranepa, Russian Federation, and a member of the IAB, University of Pécs Faculty of Business and Economics. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation applications in Human Resources.Alongside this, he is a journal reviewer and associate editor in various publications such as IEEE.
[Prof. Zita Zoltay Paprika]
[Former Dean of Convinus Business School, Budapest]
Zita Zoltay Paprika graduated from the Karl Marx University of Budapest in 1981, and received her university doctorate degree from the same institution in 1983. She was working at the Bureau for Systems Analysis of the State Committee for Technical Development as an analyst till 1987. She joined the Business Economics Department of the Budapest University of Economic Sciences in the same year. She got her Ph.D in Business Administration in 1999. Her main fields of interest are Decision Sciences and Business Economics. She is an editorial board member of the Central European Business Review and the International Journal of Business Research and Management (this opens in a new tab).
https://scholar.google.com/citations?user=yqbLWJ8AAAAJ&hl=en (this opens in a new tab)
[Prof. Manjeet Rege]
[Professor, Software Engineering and Data Science, University of St. Thomas, MN, USA]
Home Page: https://software.stthomas.edu/about/faculty-staff/biography/manjeet-rege/ (this opens in a new tab)
Manjeet Rege is a Professor of Graduate Programs in Software and Data Science and Director, Center for Applied Artificial Intelligence at the University of St. Thomas. Dr. Rege is an author and a frequent public speaker on Big Data, Machine Learning, and Artificial Intelligence technologies. He has published in various peer-reviewed reputed venues such as IEEE Transactions on Data Engineering, Data Mining & Knowledge Discovery Journal, IEEE International Conference on Data Mining, and the World Wide Web Conference. He is on the editorial review board of Journal of Computer Information Systems and regularly serves on the program committees of various international conferences.