9th International Conference on Data Management, Analytics & Innovation
Flagship Conference of
We take this opportunity to invite you to the biggest Data Science Conference in Southeast Asia, which is the International Conference on Data Management, Analytics & Innovation (ICDMAI-2025). ICDMAI was organized in the consecutive years of 2017, 2018, 2019, 2020, 2021,2022 2023 & 2024 in the IT city of Pune, India, Kuala Lumpur, Malaysia , Delhi , India. ICDMAI2021 & 22 was in Virtual mode due pandemic. Next is scheduled from 17-19 January 2025 at Kolkata,India. This conference is a flagship event of Society for Data Science (S4DS), which is a non-profit professional association to create a collaborative platform for bringing together technical experts across Industry, Academia, Government Labs and Professional Bodies to promote Innovation around Data Science.
Ninth International Conference on Data Management, Analytics and Innovation (ICDMAI – 2025) solicit papers in data mining, machine learning, generative AI, AI for social impact, robust and ethical AI, data engineering and other enabling technologies. Original, unpublished research papers highlighting specific research domains from all viewpoints are invited from delegates all over the globe. All papers will be reviewed through a double-blind peer review process. We encourage papers that focus on intersections of data science and other disciplines, such as but not limited to social sciences, humanities, natural sciences, and engineering. It is planned to submit the selected and presented papers in the proceedings with SPRINGER in their prestigious Lecture Notes in Networks and Systems, which is indexed in Scopus, Web of Science and ISI. Look forward to your contributions and to seeing you at ICDMAI 2025.Following are the topics of interest but not limited to:-
Track I: ML to Gen AI
1. Supervised Learning Techniques
2. Unsupervised Learning and Clustering
3. Deep Learning Architectures
4. Transfer Learning
5. Hyperparameter Optimization
6. Model Interpretability and Explainability
7. Reinforcement Learning
8. Automated Machine Learning (AutoML)
9. Adversarial Machine Learning
10.Scalable Machine Learning
11.Bayesian Machine Learning
12.Model Deployment and Monitoring
13.Large Language Model
14.Generative AI
15.Transformers
Track II:AI for Sustainability and Social Goods
1. Bias Detection and Mitigation
2. Fairness in AI
3. Transparency in AI Systems
4. Explainable AI (XAI)
5. AI for Social Goods
6. Environmental Sustainability, Healthcare, Education,Disaster Response etc.
7. Ethical AI
8. Resource-Efficient AI
9. AI and Policy
Track III: Data Science & Analytics
1. Data Pre-processing Techniques
2. Data Engineering
3. Efficient Data Storage Solutions
4. Big Data Technologies
5. NoSQL Databases
6. Data Integration
7. Data Lakes
8. Real-time Data Processing
9. Data Management Best Practices
10. Data Visualization
11. Time Series Analysis
12. Geospatial Data Analysis
Track IV: AI for Interdisciplinary Studies & Innovation
1. AI in Arts and Humanities
2. AI for Legal Studies
3. AI in Finance
4. AI in Agriculture
5. AI for Smart Cities
6. AI in Retail
7. AI for Manufacturing
8. AI in Sports Analytics
9. AI in Entertainment
10 AI and Human-Computer Interaction
11. AI in Cybersecurity
12. AI in Microbiology & Biotechnology
Registration Closes
Extended Date for Paper Submission
Author Notification
Early Bird Registration Closes
Camera Ready Copy & Copy Right Submission