The International Conference on Interdisciplinary Research in Artificial Intelligence & Machine Learning (ICIRAIML 2025) is a prestigious event aimed at bringing together researchers, practitioners, and industry experts to explore the integration and application of Artificial Intelligence (AI) and Machine Learning (ML) across various interdisciplinary fields.

About the Conference :

ICIRAIML 2025 focuses on the convergence of AI and ML with other domains such as healthcare, economics, education, robotics, data science, environmental sciences, and social sciences. The conference aims to foster cross-disciplinary collaborations that can push the boundaries of AI and ML technologies while solving complex real-world problems.

Key objectives of the conference include :

Showcasing Interdisciplinary Applications: Highlighting the innovative ways AI and ML are being applied in various disciplines beyond traditional computer science, such as in healthcare, climate change, public policy, and social good.

Promoting Collaborative Research: Encouraging collaboration between AI/ML experts and professionals from diverse fields to create more holistic and effective solutions.

Exploring Emerging Trends: Delving into cutting-edge trends in AI and ML, such as reinforcement learning, explainable AI, federated learning, and their potential applications in solving global challenges.

Addressing Ethical, Legal, and Social Issues: Providing a forum to discuss the ethical implications of AI in interdisciplinary contexts, such as fairness, accountability, transparency, and the societal impact of intelligent systems.

Conference Theme :

AI and ML in Healthcare: Exploring AI-driven solutions for diagnostics, personalized medicine, medical imaging, and health monitoring.

AI and Education: How AI can revolutionize education through intelligent tutoring systems, personalized learning, and adaptive learning technologies.

AI in Environmental Sustainability: AI’s role in addressing climate change, renewable energy solutions, and environmental monitoring.

AI in Robotics and Automation: Exploring the integration of AI and ML in autonomous robots and systems for industries like manufacturing, agriculture, and logistics.

Data Science and Analytics: Leveraging AI and ML techniques in big data analytics, predictive modeling, and decision support systems.

Ethical AI: Examining the challenges of fairness, bias, transparency, and accountability in AI and ML systems across different sectors.

ICIRAIML 2025 provides an interdisciplinary platform for sharing innovative ideas, best practices, and solutions to foster the adoption and responsible use of AI and ML technologies in tackling complex, global challenges.

Scope :

All Engineering Disciplines such as Computer Science Engineering, Civil Engineering, Communication Engineering, Electrical Engineering, Electronics & AI.

Augmented Reality & Virtual Reality, Cognitive Computing, Machine Learning Techniques, Deep Learning, Robotic Process Automation, Robotics, Internet of Things, Data Visualization, Natural Language Processing, Geometric Modelling, Programming for Problem-Solving, Python, Web Technology, Computer Communication Networks, Cryptography and Network Security, Data Structures, Database Management Systems, Distributed Computing, Information Security Analysis, Risk Analysis and etc.

Indexed By :
springer
scopus
wos
ugc-care
DoI
google scholar
Key Noted By:
Rashed Mustafa

Prof. Dr. Rashed Mustafa

Professor

Faculty of Engineering, Department of Computer Science and Engineering(Dean), University of Chittagong, Bangladesh.

Shirish Mane

Mr. Shirish Mane

SAP SD/OTC Functional Consultant & Independent Researcher, USA.

Keynote Title : Enhancing SAP Available-to-Promise (ATP) Capabilities through AI Integration: A Transformative Approach to Supply Chain Optimization.

Kapil Chandrakant Wannere

Mr. Kapil Chandrakant Wannere

Senior Network Engineering Lead & Independent Researcher, USA.

Keynote Title : The AI-Powered Data Center: Security, Scalability, and the Future.

Santhosh Kumar Pendyala

Mr. Santhosh Kumar Pendyala

Senior Manager - Artificial Intelligence & Analytics, Cognizant Technology Solutions, USA.

Keynote Title : Revolutionizing Healthcare with AI & ML: The Future of Diagnostics, Personalized Medicine, and Intelligent Health Monitoring.

Praveen Kumar Myakala

Mr. Praveen Kumar Myakala

Vice President – JPMorgan Chase, USA.

Surendra Vitla

Mr. Surendra Vitla

Architect & Independent Researcher, USA.

Keynote title : How AI and Machine Learning are Changing the Future of Identity and Access Management (IAM)

Siva Venkatesh Arcot

Mr. Siva Venkatesh Arcot

Solutions Manager - Customer Success - Cisco Systems Inc & Independent Researcher, USA.

Keynote title : AI-Powered Self-Service: Balancing Automation with Human Agents

Pavan Kumar Gollapudi

Mr. Pavan Kumar Gollapudi

Quality Engineering Associate manager, Accenture & Independent Researcher, USA.

Keynote title : AI-powered software testing

Bhanu Raju Nida

Mr. Bhanu Raju Nida

Principal Architect, Enterprise Analytics at SAP.

Keynote title : Building Trust in Intelligence: Ensuring Data Integrity in the AI Era

Mahesh Vaijainthymala Krishnamoorthy

Mr. Mahesh Vaijainthymala Krishnamoorthy

AI/ML Governance Developer & Independent Researcher, USA.

Submissions Deadlines
Submission Deadline 08 th February 2025
Registration Deadline 10 th February 2025
Conference Date 12 th February 2025
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