AI and Machine Learning: Transforming Data Analytics for Global Impact on Sustainability, Healthcare, and a Resilient Future
Join us at the AI and Machine Learning Workshop 2025
Session Organizers
Dr. Sangeeta Kumari, Bennett University (Times Group), Greater Noida, U.P., India
Email: sangeeta.kumari@bennett.edu.in
In an era defined by unprecedented data volumes and complex global
challenges, this session aims to explore the transformative role of
Artificial Intelligence (AI) and Machine Learning (ML) in redefining
data analytics across critical domains such as healthcare,
sustainability, and intelligent systems. As AI and ML technologies
mature, this session offers a crucial platform to address urgent
real-world problems and shape innovative solutions that drive global
resilience and progress.
Participants will engage in discussions about advancements that
enhance data-driven decision-making, intelligent computing, and smart
communication systems, fostering cross-disciplinary collaboration. The
session will serve as a nexus for researchers, practitioners, and
thought leaders to share cutting-edge methods, applications, and
visionary directions in AI and data analytics with global impact.
Recommended Topics
Topics to be discussed in this special session include (but are not limited to) the following:
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AI-Driven Innovations in Healthcare Analytics
Including but not limited to AI-driven diagnostic tools, predictive modeling for disease outbreaks, and personalized treatment plans based on patient data. -
Sustainable Solutions: Leveraging AI for Environmental
Analytics
Including but not limited to AI algorithms for optimizing energy consumption, monitoring deforestation, tracking biodiversity loss, and predicting extreme weather events. -
Intelligent Computing Techniques for Enhanced Data
Analysis
Advanced computing algorithms and models that enable real-time insights and support complex decision-making under uncertainty. -
Smart Communication Systems Enabled by Machine
Learning
Leveraging ML to enhance network efficiency, adaptability, and reliability in 5G/6G, V2X, and IoT-driven smart environments. -
Global Challenges and AI-Powered Insights
Utilizing AI to address public health crises, climate change, food security, disaster prediction and management, and energy transition. -
Ethical AI and Responsible Machine Learning in Data
Analytics
Ensuring fairness, transparency, accountability, and privacy in the application of AI and ML in sensitive domains. -
Future Directions in AI and Data Analytics
Highlighting next-generation AI paradigms, emerging methodologies, and research opportunities across interdisciplinary domains. -
Integration of Edge AI and IoT in Data Analytics
Exploring how AI at the edge, combined with IoT, enables low-latency, context-aware data processing for real-time applications in smart cities, industry, and healthcare. -
Societal Impact of AI and Machine Learning
Investigating the broader implications of AI on employment, digital equity, education, mental health, and socio-technical systems.
Submission Guidelines
Researchers and practitioners are invited to submit papers for this workshop theme session titled AI and Machine Learning: Transforming Data Analytics for Global Impact on Sustainability, Healthcare, and a Resilient Future on or before 30th April 2025. All submissions must be original and not under review elsewhere. Interested authors should consult the conference’s guidelines for manuscript submissions at https://ieee-swc-2025.github.io/. All submitted papers will be reviewed on a double-blind, peer-review basis.
IEEE SWC 2025 Colocated Conferences
IEEE ScalCom 2025
The 25th IEEE International Conference on Scalable Computing and Communications
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