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.

Manuscript Submission Guidelines

All papers must be submitted electronically, in PDF format and uploaded on EDAS through the following link: https://edas.info/N31624.

The submissions should be formatted in IEEE style format. The camera-ready version for an accepted paper cannot exceed 5 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.

Meet IEEE XPLORE® Requirements

IEEE wants to make sure that your paper is published accurately. Use IEEE PDF eXpress (Conference ID: #) to check that your paper is compliant with the requirements of the IEEE Xplore Digital Library.

Copyright Submission

Login to your EDAS page , click on the +sign at the right of Copyright form, then click on IEEE Copyright Submission (red circles), and complete by answering few questions.

All submitted papers must be unpublished and not considered elsewhere for publication, should be written in English and formatted according to IEEE Template. IEEE specification based Latex and MS-Word templates for paper submission are available here : http://www.ieee.org/conferences_events/conferences/publishing/templates.html.

The program committee may designate some accepted paper to the conference as SmartNets-2025 Best Papers. Every submission automatically eligible for this award. Each author on each of the selected papers will receive a certificate to be awarded at the award dinner banquet. Please note that, IEEE reserves the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore) if the paper is not presented at the conference. Download Template

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

Technical Tracks

  • AI-powered design optimization in green infrastructure
  • Machine learning applications in construction sustainability
  • Smart data integration for structural health monitoring
  • Intelligent decision support systems for energy-efficient buildings
  • Data-driven models for water resource management and waste management

  • AI for early warning systems in environmental hazards
  • Remote sensing data analytics for environmental quality
  • Machine learning models for air and water pollution prediction
  • Data fusion techniques for ecosystem monitoring
  • Smart sensors and AI for real-time environmental data
  • AI in climate change modeling and simulation
  • Intelligent analysis of biodiversity and natural habitats
  • AI governance in environmental risk assessment

  • AI in traffic flow optimization and congestion prediction
  • Smart mobility and autonomous transportation systems
  • IoT and AI integration in infrastructure monitoring
  • Intelligent public transportation scheduling
  • Data-driven urban logistics and route optimization
  • Smart parking systems using AI algorithms
  • AI for resilience in transport networks under stress
  • AI-enabled infrastructure safety and disaster management
  • GIS-integrated AI for spatial analysis in transportation planning

  • AI in solar and wind energy forecasting
  • Intelligent grid management using machine learning
  • Smart energy storage and consumption prediction
  • AI-based fault detection in renewable systems
  • Load balancing in hybrid power systems using AI
  • Data science applications in smart metering
  • AI in energy efficiency optimization in buildings
  • AI-driven energy demand prediction and response

  • AI tools for engineering curriculum enhancement
  • Data analytics for student performance and retention
  • Intelligent tutoring systems in technical education
  • AI in research trend prediction and publication analysis
  • Open data and reproducible research in engineering
  • Smart labs: AI-driven experimental data analysis
  • AI for research evaluation and collaboration mapping
  • Gamification and AI in engineering learning platforms

  • Ethical frameworks for responsible AI in engineering
  • Bias and fairness in data-driven engineering systems
  • Data privacy in smart infrastructure applications
  • AI regulation and policy for sustainable development
  • Cybersecurity in AI-enabled critical infrastructure
  • Societal impacts of AI in environmental governance
  • Trust and transparency in AI decision-making
  • Legal implications of AI in engineering innovations

  • AI-driven predictive maintenance in manufacturing
  • Digital twins and AI for industrial optimization
  • Smart robotics and autonomous production systems
  • AI in supply chain and logistics optimization
  • Real-time quality control using machine vision
  • Data-driven process automation in smart factories
  • AI for energy efficiency in industrial operations
  • Cyber-physical systems and AI integration
  • Smart manufacturing of nanocomposites using AI-driven quality control
  • Integration of AI with nanomaterials for intelligent product development
  • AI-driven quality control and diagnostics in semiconductor manufacturing
  • Integration of smart sensors and AI in industrial automation

  • AI applications in medical imaging diagnostics
  • Smart wearable devices for health monitoring
  • Predictive analytics for disease outbreak management
  • AI in patient-specific treatment planning
  • Data science in biomedical signal processing
  • AI for hospital resource and workflow optimization
  • Machine learning in genomics and drug discovery
  • Ethics and privacy in AI-powered healthcare

  • AI in precision agriculture and crop monitoring
  • Smart irrigation systems using data analytics
  • AI-based pest and disease prediction models
  • Supply chain optimization for agricultural products
  • Data-driven food quality and safety monitoring
  • Drone and satellite data for smart farming
  • AI in sustainable fisheries and aquaculture
  • Climate-smart agriculture using intelligent systems

  • Federated learning for decentralized AI models
  • Quantum computing and AI convergence
  • Edge AI and smart sensor networks
  • Natural Language Processing for technical applications
  • Generative AI in engineering design
  • Explainable AI for critical engineering systems
  • Multi-agent systems and AI coordination
  • Big data architectures for scalable AI deployment

  • Utilizing predictive models to improve recruitment and employee retention in engineering companies
  • Applying data-based techniques to assess staff performance
  • Optimizing workforce strategies through analytical insights
  • Data-informed decision-making for employee training and skill development in engineering settings
  • Analyzing HR data to support diversity and inclusion strategies
  • Monitoring employee satisfaction and engagement with analytical methods

  • Role of fin-tech making green finance reality
  • Green finance and fin-tech challenges
  • Fin-tech roles in facilitating sustainability and green finance
  • Blockchain, AI, and Big Data for Green Finance
  • Digital Tools for ESG Compliance and Sustainable Investing
  • How FinTech Enables Transparency in Green Bonds & Carbon Credits
  • Smart Algorithms for Renewable Energy Financing
  • FinTech’s Role in Scaling Climate-Friendly Financial Products

Conference Location

Jadara University, Jordan

Map

Venue Information

Jadara University Main Campus
Engineering Building, Conference Center
Irbid, Jordan

Accommodation

Special rates are available at partner hotels near the university campus. More information will be provided upon registration.

Getting There

The university is located 20km from the city center and is accessible by public transportation. Shuttle services will be provided from designated hotels to the conference venue.

Parking

Ample parking space is available at the university campus for conference attendees.