The International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025) focuses on cutting-edge research, innovations, and applications of AI across various domains. It covers AI fundamentals, machine learning, deep learning, NLP, computer vision, robotics, and ethical AI. Key application areas include healthcare, industry automation, smart cities, agriculture, education, cybersecurity, and business. The conference aims to foster knowledge exchange, showcase emerging trends, and address challenges in AI development, offering a platform for collaboration among researchers, practitioners, and industry experts worldwide.
Guidelines for conference paper Authors
Tools for conference paper authors
Author guidelines (download) and templates to prepare the final manuscript (link, download LaTex Package/Word Template)
Information on third party material e.g. images taken from other sources, the web, etc. (link)
Code of Conduct for Authors (link)
Springer Nature Book Publishing Policies, which also covers Atlantis Press (link)
Tools for conference paper authors
Free translation tool which can be helpful if you draft a paper in your own language and then want to translate it into English (link)
Copyediting and translation services are also offered by Springer Nature via Research Square and AJE.
How to submit your paper?
Authors are requested to submit their research papers using below link:
https://cmt3.research.microsoft.com/ICAAAI2025
All accepted and presented papers at ICAAAI 2024 will be published by Atlantis Press – Now Part of Springer Nature and submitted for indexing in prestigious databases such as CPCI (Clarivate’s Web of Science), Scopus, and Ei Compendex. Please note, the organizers are not responsible for the final indexing outcome. For more details, visit Link.
The International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025) invites researchers, academicians, industry professionals, and practitioners to submit their original and unpublished work on cutting-edge AI innovations and applications. The conference aims to provide a premier interdisciplinary platform for sharing knowledge and addressing challenges in AI advancements.
Key Topics
Foundations of AI and Machine Learning
Deep Learning, Reinforcement Learning, and Transfer Learning
Natural Language Processing (NLP) and Speech Recognition
Explainable and Ethical AI
AI in Healthcare
Medical Imaging and Diagnostics
AI for Personalized Medicine and Drug Discovery
Robotics and Automation in Surgery
AI in Smart Cities and Transportation
Autonomous Vehicles and Real-Time Traffic Management
AI for Urban Planning and Smart Infrastructure
AI in Public Safety and Emergency Response
Emerging AI Technologies
AI in the Internet of Things (IoT) and Edge Computing
AI for Blockchain Integration and Federated Learning
Quantum AI and AI-Enhanced AR/VR
AI for Environment and Agriculture
Precision Agriculture and Crop Monitoring
AI for Climate Change Analysis and Prediction
AI for Sustainable Resource Management
AI and IoT for data processing and Smart Cities
AI enables real-time decision-making in IoT devices for smarter homes, industries, and cities.
AI analyzes IoT sensor data to prevent equipment failures and reduce downtime.
AI at the edge optimizes IoT data processing, ensuring faster responses and reduced cloud
Each submitted manuscript will receive a unique paper ID. The manuscripts will be initially screened to check for the conference scope and originality. All the submitted manuscripts will be sent for a technical peer review process and the corresponding author will be notified of the outcome of the review process. ICAAAI 2025 adopts a double-blind review process. Suppose reviewers recommend further improvements in the manuscript. In that case, the manuscript will be sent back to the corresponding author and the revised version of the manuscript shall be submitted within fifteen days of the date of notification. The final decision on the manuscript will be announced after the third round of evaluation by the technical programme committee.
Shri Shankaracharya Institute of Professional Management and Technology Raipur, Chhattisgarh, India is Affiliated to Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai and Approved by All India Council for Technical Education (AICTE), New Delhi.
Lavishly spread over 17 acres of lush green and pollution free environment, SSIPMT has created a unique atmosphere of educational excellence in the capital city of Raipur. The institute was established in the year 2008 with due approval from All India Council of Technical Education (AICTE), New Delhi. Our Institute has been found to be of Quality Management System Standard ie. ISO Certified (NS-EN ISO 9001 : 2015 / ISO 9001 : 2015). SSIPMT aims to provide best quality Engineering and Management education to its students and strives to inculcate the best of its cultural heritage in the future leaders of the corporate world. SSIPMT is proud to have achieved extraordinary university results all these years since its inception in 2008. Imparting education in almost all major streams of engineering and management, SSIPMT has left no stone unturned for the betterment and progress of its students and hence, the society as a whole. To achieve its aim SSIPMT provides multi-faceted learning to its students. We have a team of dedicated and learned teachers inculcating value-based education to the students. Also a highly dynamic and full blown Training and Placement Department provides each and every student a fair chance to transform themselves into a professional and commence their career as soon as they complete their course.