About

Learn more about our mission, values, and the team behind our publication.

Our Computational Intelligence and Engineering Journal provides a platform from which researchers, engineers, and practitioners can be the first in presenting new and original developments in computational intelligence applied to engineering disciplines. With a commitment to driving interdisciplinary collaboration and facilitating the exchange of state-of-the-art knowledge, our journal seeks to address the myriad challenges and opportunities at the interface of computational intelligence and engineering.


Key Objectives:

  1. Advancing Knowledge: To advance knowledge frontiers through the publication of only high-quality research work capable of begetting knowledge and techniques from computational intelligence, including artificial intelligence, machine learning, data mining, evolutionary algorithms, neural networks, fuzzy logic, and swarm intelligence for the solution of most complex engineering problems.
  2. Problem-Solving Solutions: Our journal focuses on research that provides new, innovative solutions to real engineering problems currently faced in different domains, among which are robotics, automation, control systems, optimization, signal processing, image and video analysis, computer vision, pattern recognition, bioinformatics, etc.
  3. Interdisciplinary Integration: Contributions, including interdisciplinary collaboration between computational intelligence methodologies and traditional engineering disciplines, along with emerging areas like cyber-physical systems, Internet of Things (IoT), smart cities, renewable energy, and sustainability, are strongly encouraged.
  4. Technological Innovation: We emphasize research that focuses on driving technological innovation and the development of intelligent systems, algorithms, models, and tools that have applications in engineering practice, industry, and society.
  5. Ethical and Responsible AI: Within the frame of ethical consideration, our journal encourages research that approaches responsible practices in the development of AI through the exploration of the ethical implications and possible societal impact of the technologies based on computational intelligence.

Scope of Coverage (but not limited to)

  • Computational modeling and simulation in engineering
  • Evolutionary computation and genetic algorithms
  • Neural networks and deep learning applications
  • Fuzzy logic systems and fuzzy control
  • Swarm intelligence and nature-inspired computing
  • Data-driven optimization and decision-making
  • Intelligent robotics and autonomous systems
  • Cyber-physical systems and IoT applications
  • Smart sensing and sensor networks
  • Intelligent transportation systems
  • Renewable energy systems and sustainable engineering
  • Applications in healthcare, finance, manufacturing, and beyond

Through its comprehensive coverage and rigorous peer-review process, our journal aims to contribute to the advancement of computational intelligence and its transformative impact on engineering research, practice, and innovation. We welcome original research articles, reviews, case studies, and technical notes that align with our aim and scope, and invite researchers from academia, industry, and government institutions to join us in this collaborative endeavor.

Editorial Board

Dr. Samantha Smith
Editor-in-Chief

Dr. Samantha Smith is a renowned researcher in the field of computational intelligence and engineering. With over 20 years of experience in academia and industry, Dr. Smith has published numerous influential papers and served on various editorial boards. Her research interests include evolutionary computation, machine learning, and their applications in robotics and automation.

Prof. Emily Johnson
Associate Editor

Prof. Emily Johnson is an esteemed scholar with expertise in neural networks and deep learning. She has contributed significantly to the field through her research on advanced learning algorithms and their applications in image processing and pattern recognition. Prof. Johnson's work has been widely recognized and has received several awards for its impact on the field.

Dr. Michael Brown
Associate Editor

Dr. Michael Brown brings a wealth of experience in data-driven optimization and decision-making. His research focuses on developing efficient algorithms for solving complex optimization problems in various domains, including logistics, finance, and healthcare. Dr. Brown's interdisciplinary approach has led to significant advancements in optimization theory and practice.

Prof. Sarah Lee
Editorial Board Member

Prof. Sarah Lee is a leading expert in cyber-physical systems and IoT applications. Her research explores the integration of physical systems with computational technologies to create intelligent and adaptive systems. Prof. Lee's work has practical implications for smart cities, transportation networks, and environmental monitoring.

Dr. David Miller
Editorial Board Member

Dr. David Miller specializes in renewable energy systems and sustainable engineering. His research addresses the challenges of transitioning to clean and renewable energy sources, with a focus on optimizing energy production and storage systems. Dr. Miller's work contributes to the global efforts towards mitigating climate change and promoting environmental sustainability.

Prof. Jessica White
Editorial Board Member

Prof. Jessica White is a respected researcher in the field of intelligent transportation systems. Her research focuses on developing innovative solutions to improve transportation efficiency, safety, and sustainability. Prof. White's interdisciplinary approach combines expertise in engineering, computer science, and urban planning to address the complex challenges of modern transportation networks.

Dr. Andrew Thompson
Editorial Board Member

Dr. Andrew Thompson is an expert in computational modeling and simulation applied to engineering. His research focuses on developing computational models to simulate and analyze complex engineering systems, with applications ranging from aerospace to biomedical engineering. Dr. Thompson's work has contributed to advancements in simulation techniques and their practical applications in engineering design and optimization.

Prof. Rachel Garcia
Editorial Board Member

Prof. Rachel Garcia specializes in evolutionary computation and genetic algorithms. Her research explores the principles of evolutionary processes and applies them to solve optimization problems in engineering and beyond. Prof. Garcia's work has led to the development of novel optimization algorithms with applications in diverse fields such as design optimization, scheduling, and data analysis.

Dr. Mark Wilson
Editorial Board Member

Dr. Mark Wilson is an expert in swarm intelligence and nature-inspired computing. His research focuses on understanding collective behavior in natural systems and translating it into computational algorithms for solving complex optimization and decision-making problems. Dr. Wilson's work has applications in fields such as robotics, manufacturing, and environmental monitoring.

Prof. Laura Martinez
Editorial Board Member

Prof. Laura Martinez specializes in intelligent robotics and autonomous systems. Her research focuses on developing advanced robotic systems capable of autonomous decision-making and adaptation to changing environments. Prof. Martinez's work has practical applications in fields such as industrial automation, healthcare robotics, and unmanned aerial vehicles (UAVs).

Dr. Rahul Sharma
Editorial Board Member

Dr. Rahul Sharma is a leading researcher in computational intelligence and optimization from India. His research interests include evolutionary algorithms, metaheuristic optimization, and their applications in engineering design and optimization. Dr. Sharma has published extensively in reputable journals and has been actively involved in organizing conferences and workshops in the field.

Prof. Priya Patel
Editorial Board Member

Prof. Priya Patel is a distinguished expert in fuzzy logic systems and control from India. Her research focuses on developing advanced control strategies based on fuzzy logic for complex engineering systems. Prof. Patel's work has applications in various domains, including automotive control, industrial automation, and robotics. She has made significant contributions to the field through her research and teaching.

Dr. Sanjay Gupta
Editorial Board Member

Dr. Sanjay Gupta is an accomplished researcher in neural networks and deep learning from India. His research interests include developing novel neural network architectures and algorithms for pattern recognition and data analysis. Dr. Gupta's work has applications in diverse fields, including computer vision, natural language processing, and medical image analysis.


How to Peer Review for GSci Journal

The reviewer report should comprehensively critique the submission and consist of much more than a few brief sentences. GSci does not require a specific structure for reports; however, a suggested format is:

  1. Summary
  2. Major issues
  3. Minor issues

We encourage reviewers to help authors improve their manuscript. The report should give constructive analysis to authors, particularly where revisions are recommended. Where reviewers do not wish authors to see certain comments, these can be added to the confidential comments to the Academic Editor.

While expectations vary by discipline, some core aspects that should be critiqued by reviewers may include:

  • Are the research questions valid?
  • Is the sample size sufficient?
  • Is there necessary ethical approval and/or consent, and was the research ethical?
  • Are the methods and study design appropriate for answering the research question?
  • Do the experiments have appropriate controls?
  • Is the reporting of the methods, including any equipment and materials, sufficiently detailed that the research might be reproduced?
  • Are any statistical tests used appropriate and correctly reported?
  • Are the figures and tables clear and do they accurately represent the results?
  • Has previous research by the authors and others been discussed and have those results been compared to the current results?
  • Are there any inappropriate citations, for example, not supporting the claim being made or too many citations to the authors' own articles?
  • Do the results support the conclusions?
  • Are limitations of the research acknowledged?
  • Is the abstract an accurate summary of the research and results, without spin?
  • Is the language clear and understandable?

To help authors receive timely reviews, reviewer reports should be submitted via the manuscript tracking system on or before the agreed deadline. Reviewers should contact GSci if they are unable to meet the deadline so an alternative date can be arranged.

We encourage reviewers to focus their reports on objectively critiquing the scientific aspects of the submission, including the soundness of the methodology and whether the conclusions can be supported by the results. At the end of their review, we ask reviewers to recommend one of the following actions:

  • Publish Unaltered
  • Consider after Minor Changes
  • Consider after Major Changes
  • Reject

However, it is important to note that the overall decision will be made by the Academic Editor.


Confidentiality

Manuscripts under peer review should be strictly confidential. Reviewers must not share manuscripts or discuss their content with anyone outside the peer review process.

Reviewers may, on request, consult with colleagues from their research group trusting that the confidentiality of the manuscript is maintained. Reviewers should first contact Hindawi or the Academic Editor handling the manuscript and note the name of the colleague(s) in the ‘Comments to the editor’ section of their report.

Reviewers will be anonymous to the authors unless they choose to disclose their identity by signing the review report.


Conflicts of Interest

Reviewers should decline to review a submission when they:

  • Have a recent publication or current submission with any author
  • Share or have recently shared an affiliation with any author
  • Collaborate or have recently collaborated with any author
  • Have a close personal connection to any author
  • Have a financial interest in the subject of the work
  • Feel unable to be objective

Reviewers must declare any remaining interests in the ‘Confidential’ section of the review form, which will be considered by the editor.

Reviewers must declare if they have previously discussed the manuscript with the authors.

Reviewers are encouraged to comment on authors’ declared conflicts of interest. If there are concerns that authors have not fully disclosed financial, institutional, commercial, personal, ideological, or academic interests, this should be raised in the reviewer report.

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