Call for Papers
Prospective authors are strongly encouraged to submit their original, unpublished quality research papers (which are not concurrently under review elsewhere) related to the specified tracks. Submissions should adhere to the format outlined in the Paper Template and be submitted via Microsoft CMT for possible publication in DMTI-2027. Submitted papers must be plagiarism-free. All submissions must be in English, and papers intended for presentation should adhere to the formatting guidelines provided by the conference website.
ConferenceTracks
The International Conference on Data Science, Machine Learning and Trusted Intelligence (DMTI) provides a global platform for researchers, academicians, scientists, industry professionals, and students to present and discuss the latest advancements in Data Science, Machine Learning, Artificial Intelligence, and Trusted Intelligent Systems. The conference promotes interdisciplinary collaboration by bringing together experts from academia and industry to exchange innovative ideas, research findings, and practical solutions in areas such as data analytics, generative AI, trustworthy AI, cybersecurity, Internet of Things, cloud and edge computing, quantum computing, and intelligent applications. DMTI aims to foster knowledge sharing, encourage collaborative research, and address emerging challenges in developing secure, transparent, ethical, and intelligent technologies that contribute to sustainable innovation and digital transformation across diverse sectors.
Track 1: Data Science and Advanced Analytics
Data Mining, Big Data Analytics, Predictive Analytics, Business Intelligence, Data Visualization, Statistical Learning, Knowledge Discovery, Data Engineering.
Track 2: Machine Learning and Deep Learning
Supervised & Unsupervised Learning, Deep Learning, Reinforcement Learning, Federated Learning, Explainable AI, Transfer Learning, AutoML, Foundation Models.
Track 3: Artificial Intelligence and Generative AI
Large Language Models (LLMs), Generative AI, AI Agents, Natural Language Processing, Computer Vision, Speech and Multimodal AI, Intelligent Automation, Human-Centered AI.
Track 4: Trusted Intelligence, Security and Privacy
Trustworthy AI, Responsible AI, AI Ethics and Governance, Cybersecurity, Privacy-Preserving AI, Digital Forensics, Blockchain, Secure Computing.
Track 5: Internet of Things and Intelligent Systems
Smart Cities, Smart Healthcare, Industrial IoT, Edge and Fog Computing, Sensor Networks, Cyber-Physical Systems, Digital Twins, Intelligent Transportation.
Track 6: Cloud, Edge Computing and Emerging Technologies
Cloud Computing, Edge Intelligence, Distributed Systems, High Performance Computing, Quantum Computing, Green Computing, Sustainable AI, 6G Networks.
Track 7: Applications of AI and Data Science
Healthcare Analytics, Financial Technologies, Agriculture Informatics, Education Technologies, Smart Manufacturing, Intelligent Transportation, Climate Informatics, Energy Informatics.
Track 8: Industry, Innovation and Future Technologies
Industry 5.0, AI for Enterprises, Intelligent Robotics, Digital Transformation, Smart Automation, Entrepreneurship and Startups, Innovation Management, Future Computing Paradigms.