Special Issue "The Role of Artificial Intelligence and Machine Learning in the Context of Sustainability"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Sustainable Processes".

Deadline for manuscript submissions: 30 April 2022.

Special Issue Editors

Dr. Alex Shenfield
E-Mail Website
Guest Editor
Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield, UK
Interests: artificial intelligence; cybersecurity; Internet of Things; cognitive radio; medical imaging
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Marcos Rodrigues
E-Mail Website
Guest Editor
GMPR-Geometric Modelling & Pattern Recognition Group, Sheffield Hallam University, Sheffield, UK
Interests: artificial intelligence; pattern recognition; 3D imaging; data compression
Dr. Bernardi Pranggono
E-Mail Website
Guest Editor
Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield S1 1WB, UK
Interests: smart grid; cybersecurity; cloud computing; Internet of Things; green ICT
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) and machine learning (ML) techniques have attracted significant interest from researchers in the last 5 years, and huge progress is being made in this area. AI and ML are currently being used to solve a range of real-world problems, from object detection in autonomous vehicles through to machine translation services and code autocompletion in software development. PricewaterhouseCoopers (PwC) estimate that, as well as the obvious productivity benefits AI solutions can bring, harnessing AI to accelerate the move toward low-carbon industries can result in a 4% reduction in greenhouse gases globally when compared to business as usual. These potential gains are particularly prevalent in industries such as energy (where the potential for AI and IoT in smart grids can significantly improve operational efficiency) and transport (where autonomous and semi-autonomous vehicles can deliver improved fuel economy and allow for better traffic optimisation).

As well as direct reduction in greenhouse gases through process improvements, AI can also play a wider role in sustainability, with applications as diverse as monitoring and predicting water quality, analysing deforestation and illegal fishing from satellite images, and providing early warnings of poor air quality due to pollution. Worryingly, large AI models frequently require huge resources to train, with OpenAI’s GPT-3 large language model requiring an estimated 190,000 kWh of electricity. Therefore, best realising the opportunities for sustainability offered by AI models will require responsible research practices and careful decisions that consider long-term environmental and social impact.

This Special Issue focuses on the issues around artificial intelligence and machine learning in sustainability. Topics of interest for publication include but are not limited to the following:

  • Artificial intelligence applied to smart grid systems (e.g., expert systems, evolutionary computing, neural networks);
  • Artificial intelligence for the analysis and prediction of pollution;
  • Intelligent systems/artificial intelligence for enabling low-carbon industries;
  • Autonomous systems for sustainability;
  • Green artificial intelligence;
  • Data issues (such as federated data sharing, de-duplication, data privacy, and ethical concerns).

Dr. Alex Shenfield
Prof. Dr. Marcos Rodrigues
Dr. Bernardi Pranggono
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • artificial intelligence
  • machine learning
  • sustainability
  • Industry 4.0
  • Internet of Things
  • green ICT
  • smart grid
  • data management

Published Papers

This special issue is now open for submission.
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