Sustainable and Advanced Technologies for Mining Engineering
A special issue of Processes (ISSN 2227-9717).
Deadline for manuscript submissions: 30 September 2026 | Viewed by 241
Special Issue Editors
Interests: smart mining; small-sample learning; image recognition; autonomous equipment
Special Issues, Collections and Topics in MDPI journals
Interests: low-carbon mining; mining methods
Special Issue Information
Dear Colleagues,
The mining industry has a critical role in supplying raw materials for global development and clean energy technologies. However, it is facing mounting challenges related to declining ore grades, increasing operational complexity, and growing environmental and social pressures. Traditional mining methods often struggle to meet the demands for higher productivity, lower environmental impact, and improved safety, particularly in remote or geotechnically complex environments. Furthermore, volatile commodity markets, stricter regulatory frameworks, and stakeholder expectations for transparency and sustainability add layers of uncertainty to mine planning and operations. In response, the mining industry is undergoing a digital and sustainable transformation. Advanced technologies are increasingly being integrated into mining engineering to enhance safety, productivity, and environmental performance.
This Special Issue, "Sustainable and Advanced Technologies for Mining Engineering", aligns with the scope of Processes and seeks cutting-edge research and innovation at the intersection of smart technologies and sustainable mining practices. By bridging cutting-edge technological development with sustainable engineering, this Special Issue contributes to the broader goals of advancing knowledge in the fields of mining science, environmental engineering, and industrial innovation. Research areas may include (but are not limited to) the following:
- AI, machine learning, and big data analytics in smart mining.
- Digital twin technologies for predictive maintenance and operational optimization.
- IoT- and sensor-based systems for real-time monitoring and control.
- Low-carbon and energy-efficient technologies for mining and mineral processing.
- Clean energy integration in mining operations.
- Intelligent support systems for underground stability monitoring.
- Autonomous and robotic technologies in hazardous mining environments.
- Other emerging technologies for advanced and sustainable mining.
We look forward to receiving your contributions.
Dr. Fuming Qu
Dr. Hangxing Ding
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.
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 2400 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.
Keywords
- smart mining
- low-carbon technology
- sustainable mining
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