International Conference on Data Analytics for Sustainability and Engineering Technology (DASET) - Al-Maktoum College

International Conference on Data Analytics for Sustainability and Engineering Technology (DASET)

Dates: 15 + 16 January 2026
Format: Hybrid (Online and On-site at Al-Maktoum College of Higher Education, UK)

About the Conference

The International Conference of Data Analytics for Sustainability and Engineering Technology (DASET) aims to bring together researchers, practitioners, and experts from academia and industry to discuss and exchange cutting-edge research and innovations in the fields of data analytics, sustainability, and engineering technology. The conference seeks to explore the applications of data analytics in promoting sustainability across various domains and leveraging engineering technology to address global challenges.

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The International Conference of Data Analytics for Sustainability and Engineering Technology (DASET)

15-16 January 2026, Scotland (Hybrid)

The International Conference of Data Analytics for Sustainability and Engineering Technology (DASET) aims to bring together researchers, practitioners, and experts from academia and industry to discuss and exchange cutting-edge research and innovations in the fields of data analytics, sustainability, and engineering technology. The conference seeks to explore the applications of data analytics in promoting sustainability across various domains and leveraging engineering technology to address global challenges

Organised by:

Al-Maktoum College of Higher Education

Strategic Partners

University of Anbar

Supporter

The Science Publishing House – USA

Call for Papers

The International Conference of Data Analytics for Sustainability and Engineering Technology (DASET)

Al-Maktoum College of Higher Education, UK

All submitted papers (around 5 pages) should be submitted online via EDAS) to one of the following tracks:

  1. Data Analytics for Sustainability
  2. Engineering Technology for Sustainable Development
  3. Big Data and Machine Learning Applications
  4. Smart Cities and IoT for Sustainability
  5. Big data for Sustainability and Innovation
  6. Data Analytics for Marketing Strategies in Industries Environment
  7. Data Analytics for Sustainable Human Resource Management in Engineering Projects
  8. Sustainable Strategies in Green Engineering Environment
  9. Ethical and Legal Issues in Data Analytics and Sustainable Engineering Projects
  10. Data Analytics and Financial Sustainability: Innovations for Resilient Economies
Paper Submission

1. Structure your paper

Title

Your paper title should be specific, concise, and descriptive. Avoid using unnecessary words such as “new” or “novel”. Include keywords that will help a reader find your paper.

Abstract

Provide a concise summary of the research conducted. Include the conclusions reached and the potential implications of those conclusions. Your abstract should also:

  • Consist of a single paragraph up to 250 words, with correct grammar and unambiguous terminology.
  • Be self-contained. No abbreviations, footnotes, references, or mathematical equations.
  • Highlight what is unique in your work.
  • Include 3-5 keywords or phrases that describe the research to help readers find your paper.

Funding Footnote

If the research reported in your paper was supported by a funding source, include the funder’s name and grant information in a footnote on the first page of the paper.

Introduction

Help the reader understand why your research is important and what it is contributing to the field:

  • Start by giving the reader a brief overview of the current state of research in your subject area.
  • Progress to more detailed information on the specific topic of your research.
  • End with a description of the exact question or hypothesis that your paper will address.

Also state your motivation for doing your research and what it will contribute to the field.

Methods

Formulate your research question. It should include:

  • A detailed description of the question.
  • The methods you used to address the question.
  • The definitions of any relevant terminology.
  • Any equations that contributed to your work.

The methods section should be described in enough detail for someone to replicate your work.

Results and Discussion

Show the results that you achieved in your work and offer an interpretation of those results. Acknowledge any limitations of your work and avoid exaggerating the importance of the results.

Conclusion

Summarize your key findings. Include important conclusions that can be drawn and further implications for the field. Discuss benefits or shortcomings of your work and suggest future areas for research.

Acknowledgments

You can recognize individuals who provided assistance with your work but who do not meet the definition of authorship. The acknowledgments section is optional.

References

Provide citation information for all the previous publications referred to in your paper. Cite only those references that directly support your work.

 

2. Manuscript Submission Guidelines

All papers must be submitted electronically, in PDF format and uploaded on EDAS through the following link: TBA

The submissions should be formatted in IEEE style format. The camera-ready version for an accepted paper cannot exceed 8 pages and must be at a minimum of 3 pages in length. Standard IEEE conference templates for LaTeX and WORD formats are found on the IEEE website: https://www.ieee.org/conferences/publishing/templates.html

Kindly remove all headers and footers in your paper.

 

3. Copyright Submission

To be announced later

 

4. Presentation Submission

Talks will be pre-recorded and submitted via EDAS as video files to be replayed during the conference. Please note that the final manuscripts must be uploaded prior to uploading the pre-recorded presentation. During the presentation, authors will need to be available online after their videos are played to answer Q&A from conference participants moderated by the respective Session Chairs. Please observe the following guidelines when preparing video files of your talks

Duration of video files: 15 minutes
File Format: MPEG-4 (.mp4) file (use the normal H.264 video and AAC audio codecs)
Video Size: HD (1280 x 720 or other “720p” setting)
Audio Quality: please double check your files before submitting to make sure the audio is clear and audible!
Videos should contain a prominent view of the presentation slides along with audio of the spoken presentation. Optionally videos may contain a shot of the speaker’s head for increased engagement. Many presentation software allows recording audio and video directly in the application and can export appropriate video files (example PowerPoint).

To upload, first log onto EDAS and click on your accepted paper. Under Final Manuscript, you will find the upload option “Virtual Presentation Upload”. Click the cloud icon and upload your final presentation. You have two upload options:

  1. Choose File: If your MPEG-4 file is under 200 MB, please upload using the “Choose File” button. Once the file name is listed, please click “Upload MP4 Video”.
  2. URL: If you MP4 file is over 200 MB, please input a YouTube, One Drive, Dropbox or Google Drive directory URL into the text field. Once the URL is listed, please click “Upload MP4 Video”. Please note that the link must be a direct download link. Shared drive links will not upload.

All pre-recorded presentations will be reviewed by the Session Chairs in order to guarantee relevant and high-quality content. If your presentation is not a strong reflection of the accepted Final Manuscript, or if the presenter is not one of the authors, the Chairs have the authority to reject the submission.

Q&A sessions: following the video paper, one of the authors needs to be on-line to address Q&A moderated by the Session Chair. Duration for Q&A sessions are 4-5 minutes

Committees

Conference Chairs

Steering Committee

Organising Committee

Publication Committee

  • Prof. Mahmoud Khalifa, Professor, ALM College for Higher Education (Chair), m.Khalifa@almcollege.ac.uk
  • Prof. Saeed Aldulaimi, Applied Science University, Bahrain

 

IEEE UK and Ireland Technical Committee

 

Scientific Committee:

Deadlines
  • Submission of papers: September 10, 2025
  • Acceptance notice: November 15, 2025
  • Submission of ready manuscripts: December 25, 2025
  • Preliminary Program: December 30, 2025
Registration

All authors must pay the conference fees, even if they want to join only on the day of their presentation or online. No reimbursement will be possible.

The conference will be pleased to send an official letter of acceptance to registered participants making such a request. It is understood that such an invitation is intended to help attendees obtain travel funds or a visa.
Method of Payment will be on EDAS

Step-by-Step Registration Guide for Authors. Identify Your Registration Category:

Category Fees
Student (IEEE/ Online) US$ 150
Student (other) US$ 250
Academic (IEEE /Online) US$ 300
Academic (other) US$ 350
Industrial US$ 390
Venue

First day: Conference site: Al-Maktoum College of Higher Education, UK

Second day: Online sessions via Conference Program

https://www.almcollege.ac.uk/international-conference-on-data-analytics-for-sustainability-and-engineering-technology-daset-2026/

Contact

Prof. Alaa Garad,

Pro-Vice Chancellor,

Al-Maktoum College of Higher Education,

Co-Chair of the DASET Conference

Email: a.garad@almcollege.ac.uk

 

Prof. Mahmoud Khalifa,

Professor,

Al-Maktoum College of Higher Education

Email: m.Khalifa@almcollege.ac.uk

 

124 Blackness Road,
Dundee, Scotland,
DD1 5PE
+44 (0) 1382 908070
info@almcollege.ac.uk

Technical Tracks and Topics:

Data Analytics for Sustainability
  • Environmental data analysis
  • Sustainable energy analytics
  • Climate change data modeling
  • Water resource management
  • Sustainable agriculture analytics
Engineering Technology for Sustainable Development
  • Renewable energy technologies

  • Sustainable infrastructure development

  • Green building technologies

  • Sustainable transportation systems

  • Waste management technologies

Big Data and Machine Learning Applications
  • Big data analytics for sustainability
  • Machine learning for environmental monitoring
  • Predictive analytics for sustainable practices
  • Data-driven decision-making for sustainability
  • Energy efficiency optimisation using data analytics
Smart Cities and IoT
  • IoT applications for environmental monitoring
  • Smart city infrastructure for sustainability
  • Data analytics for smart transportation systems
  • IoT-enabled energy management
  • Sustainable urban planning using data analytics
Big Data for Sustainability and Innovation
  • Sustainable Project management for construction
  • Smart Cities
  • Construction Innovation
  • Facilities Management
  • Impact of COVID-19 on the Construction Sector
  • CSR in the construction sector
  • Construction and Building Technologies.
  • Sustainability and Energy Saving Methods and Technologies.
  • Construction Management technologies.
  • Virtual Reality Technologies and Applications.
  • Big Data Analysis Architectures
  • Big Data Analysis for Business Model Innovation
Data Analytics in Marketing for Engineering Industries
  • Data-driven marketing strategies for engineering products
  • Customer segmentation and targeting in engineering industries
  • Predictive analytics for marketing campaign optimisation
  • Market trend analysis using data analytics
  • Decision models for pricing strategies in engineering sectors
  • Marketing performance measurement through data analytics
Human Resource Analytics in Engineering Projects
  • Predictive analytics for talent acquisition and retention in engineering firms
  • Employee performance evaluation using data-driven models
  • Workforce planning and optimisation through data analytics
  • Decision models for training and development programs in engineering organisations
  • Human resource analytics for diversity and inclusion initiatives
  • Employee engagement and satisfaction analysis using data-driven approaches
Sustainable Strategies in Green Engineering
  • Project risk assessment and management using decision models
  • Data analytics for project scheduling and resource allocation
  • Decision-making in engineering project portfolio management
  • Cost-benefit analysis and optimisation in engineering projects
  • Decision support systems for project management in engineering
  • Performance evaluation and project success prediction using data analytics
Ethical and Legal Considerations
  • Ethical considerations in data-driven decision-making processes in engineering
  • Legal implications of using data analytics in engineering decision making
  • Privacy and data protection issues in engineering data analytics
  • Bias and fairness in algorithmic decision-making in engineering
  • Compliance and regulatory challenges in using data analytics in engineering practices
  • Ethical frameworks for responsible AI and machine learning applications in engineering

Keynote Speakers

Dr. Antonio Luque

Associate Professor, University of Seville, Spain; Director, IEEE Region 8

Submission Guidelines and Important Dates

Activity Deadline
Full Paper Submission 1 November 2025
Notification of Acceptance 1 December 2025
Final Paper Submission 15 December 2025
Conference Dates 15 + 16 January 2026
  • All papers should be a maximum of five pages in IEEE format.

  • Papers must be submitted online.

 

Hosting Institution

This conference is proudly hosted by Al-Maktoum College of Higher Education, UK, in collaboration with international academic and professional partners.