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ResGenXAI 2025

IEEE Conference #64788

IEEE Conference Record #64788

Special Session: Explainable and Scalable AI Models for Real-Time Decision-Making in Distributed IoT Ecosystems

This special session aims to explore cutting-edge innovations and practical applications at the intersection of these transformative technologies. IoT facilitates seamless data collection and connectivity among devices, while AI leverages this data for intelligent decision-making and automation. XAI ensures transparency, trust, and accountability in AI-driven systems—an increasingly critical requirement across sectors. The session welcomes original research, case studies, and visionary perspectives on the integration of IoT, AI, and XAI in various domains.

Session Organizers

Dr. Amrutanshu Panigrahi

Assistant Professor, Department of CSE

SoA University, Bhubaneswar, India

Dr. Abhilash Pati

Assistant Professor, Department of CSE

SoA University, Bhubaneswar, India

Email: abhilashpati@soa.ac.in

Paper Submission

The manuscript template can be found at resgenxai.co.in/authorguidelines

All manuscripts were renamed as: ResGenXAI_2025_ManuscriptShortTitle_SS01

Submissions were managed through Microsoft CMT. The conference proceedings are now published on IEEE Xplore

Registration details: resgenxai.co.in

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671 Submissions

From 8 countries worldwide - an incredible response for our inaugural event

67 Papers Published

Maintaining a strict 10% acceptance rate for highest quality

IEEE Xplore

High-quality proceedings now available on IEEE Xplore