Authors

Call for Papers
Paper submission: Submissions should be original, previously unpublished work not currently under review by other publications. All submissions must be done electronically through the CMT. https://cmt3.research.microsoft.com/IISUASSET2025 The Microsoft CMT service is being used for managing the peer-reviewing process for this conference. This service is provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support. All Other Communications are to be made at asset@iisuniv.ac.in

Initial Screening
The IISU-ASSET 2025 Program team will be checking plagiarism of all the submitted papers for ensuring the originality of content using Turnitin. Hence, authors are advised in their own interest, to use a tool like Turnitin, iThenticate etc. to check the plagiarism level of their manuscripts before submission. The originality report generated by the tool may also be submitted at the time of paper submission. The paper having plagiarism above the minimum level will be dropped from the next round of the review process.

Three Tier Review Process
In the first round of review, the papers submitted by the authors will be assessed on the basis of their technical suitability, scope of work. The blind review by three experts on the basis of originality, novelty, clarity, completeness, relevance, significance, and research contribution will be taken. Final decision regarding acceptance of papers will be based upon review remarks received after the comments by at least 3 reviewers. During the third and final round of three-tier process, the technical program committee will see all reviews and then decide the decision for the paper. The final decision of the papers will be by the Chairs of the Technical Program Committee considering the reviews, plagiarism, and theme. Shortlisted papers will be accepted for presentation in the IISU-ASSET 2025 and publication in the proceedings.

Conference Tracks

The tracks of the conference include but are not restricted to:

Track No. Topic
Track 1 AI/ML applications for Sustainable Development
Track 2 Computational Biology and AI for Sustainable Healthcare and Wellness
Track 3 Security and Resilience in Sustainable AI Systems
Track 4 AI-Driven Multimedia and Animation for Sustainability
Track 5 Human-Centered AI and User Experience
Track 6 Management Practices in AI-driven Industries and Applications
Track 7 Ethical, Social, and Environmental Implications of AI-driven Sustainability
Track 8 Sustainable Practices and Technologies for a Greener Future
Registration
Category Early Bird on or Before Feb 20, 2025 Regular After Feb 20, 2025
Industry INR 9000 / USD 300 INR 10000 / USD 400
Academician/Research Scholar (PhD) INR 7000 / USD 200 INR 8000 / USD 300
Student (UG/PG) INR 1500 / USD 100 INR 2000 / USD 200
Participant Only INR 3000 / USD 50 INR 3500 / USD 150
Important Dates: Last date of Manuscript Submission: January 04, 2025
Notification of Acceptance: February 07, 2025
Camera Ready Paper Due: February 17, 2025 (within 10 days of Notification of acceptance)
Track No. Topic
Track 1
  • AI-driven Technologies
  • Advances in machine learning algorithms
  • Generative AI models and Sustainable Systems
  • AI Systems for Cloud Computing and Data Management
  • Explainable and interpretable AI models
  • Optimization techniques in AI systems
  • Probabilistic reasoning and decision-making
  • Advances in NLP and Conversational AI
  • Breakthroughs in Reinforcement Learning and Autonomy
  • AIoT and Edge Computing
  • AI Systems for Cross-Disciplinary Solutions
Track 2
  • Computational Biology and AI for Sustainable Healthcare and Wellness
  • AI-Driven Drug Discovery and Development
  • AI in genomic sequencing and analysis
  • Personalized treatment planning using computational biology
  • Healthcare Sustainability through Computational Approaches
  • AI-Powered Diagnostics and Imaging
  • AI in Mental Health and Wellness
Track 3
  • Security and Resilience in Sustainable AI Systems
  • Cybersecurity for AI Systems
  • Adversarial AI and Model Robustness
  • Resilient AI/ML for Critical Infrastructure
  • Supply Chain Security for AI Systems
Track 4
  • AI-Driven Multimedia and Animation for Sustainability
  • Sustainable Content Creation Using AI
  • Efficient Production Workflows with AI
  • AI-Powered Visualization for Scientific Data
  • Immersive Media and Virtual Experiences for Sustainability
  • Ethics and Inclusivity in AI-Driven Multimedia
Track 5
  • Human-Centered AI and User Experience
  • Designing Intuitive AI Interfaces
  • Explainable and Transparent AI for Better UX
  • Personalization and Adaptive AI Systems
  • Emotional Intelligence in AI
  • Ethical and Responsible AI Design
  • AI for Accessibility and Inclusive Design
Track 6
  • Management Practices in AI-driven Industries and Applications
  • AI Integration Strategies for Industry Transformation
  • Workforce Development and AI-Driven Organizational Changes
  • Data Management and AI System Optimization
  • Collaboration Models for AI Innovation
  • Sustainable Management in AI Systems
  • AI-Enabled Sustainable Supply Chains
  • AI-Driven Sustainable Finance and Investment
  • Agile and Adaptive Management in AI Projects
Track 7
  • Ethical, Social, and Environmental Implications of AI-driven Sustainability
  • Social Impact of AI on Communities
  • Environmental Costs of AI Technologies
  • Human-AI Collaboration in Sustainability
  • Policy and Governance for Responsible AI
  • Cultural and Ethical Challenges in Global AI Deployment
Track 8
  • Sustainable Practices and Technologies for a Greener Future
  • Green AI for Energy Revolution
  • Green Urbanization and Societies
  • Green Software Engineering
  • AI Education and Workforce Development for sustainability
  • Sustainable Agriculture and Food Systems using AI/ML
  • Water Conservation and Management
  • Policy, Regulation, and Sustainability Standards
  • AI in Smart Cities and Urban Planning
  • AI Applications in Disaster Response and Recovery
  • Machine learning models for climate prediction
  • AI for Biodiversity and Ecosystem Preservation