Important Dates

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Call For Paper

The Research Leagues events aim to release a wide range of articles that provide insight and explore the latest advancements in engineering, medicine, social science, applied science, management etc.

Our conference practices methodological, conceptual, and epistemological diversity. But we prefer articles that effectively engage with current intellectual debates. We expect our participants to contribute innovative ideas, perspectives, and research methods.

Our events can potentially revolutionize the current paradigm and pave the way for growth and development. Those who intend to have their original findings and research published through our events should get an idea from the Author Guidelines, Rules for Presentation, and Instruction sections, before anything else.

Engineering Topics

• Mathematical, probabilistic and statistical models and theories
• Machine learning theories, models and systems
• Knowledge discovery theories, models and systems
• Manifold and metric learning
• Deep learning
• Scalable analysis and learning
• Non-iidness learning
• Heterogeneous data/information integration
• Data pre-processing, sampling and reduction
• Dimensionality reduction
• Feature selection, transformation and construction
• Large scale optimization
• High performance computing for data analytics
• Architecture, management and process for data scienceLearning for streaming data
• Learning for structured and relational data
• Latent semantics and insight learning
• Mining multi-source and mixed-source information
• Mixed-type and structure data analytics
• Cross-media data analytics
• Big data visualization, modeling and analytics
• Multimedia/stream/text/visual analytics
• Relation, coupling, link and graph mining
• Personalization analytics and learning
• Web/online/social/network mining and learning
• Structure/group/community/network mining
• Cloud computing and service data analysis