 Mathematics and Informatics: dealing with the mathematical foundation of information science (informatics), including type theory, mathematical logic, program theory, program verification,
theory on algorithm, information theory, coding theory, cryptology, and so on.

 Biological Cognitive Informatics: dealing with the development of computing systems that work best with how humans process information, creating more seamless human-systems integration.

 Engineering informatics: dealing with the application of information technology (IT) knowledge, methods, models, and algorithms that support engineering and management activities including from customer requirements to design and production operations.

 Intelligent Informatics: dealing with tools and systems using biologically and linguistically motivated computational paradigms, such as artificial neural networks, fuzzy logic, evolutionary optimization, rough sets, data mining, Web intelligence etc.

 Modern Informatics: dealing with e-surveillance, remote security surveillance, electronic security, artificial intelligence, internet of things.
 Medical, Dental and Nursing Informatics: dealing with automated patient and clinical data records, improved operations at health care facilities, simplified data collection, tracking, and analysis, and real-time access to patient information anytime, anywhere. This includes assembling and maintaining medical records from clinicians' notes, transcribing dictation from clinicians on vital patient information and overseeing the appropriate release of patient information, including the correct coding essential for billing and for patient care.
 Agriculture informatics: dealing with agricultural Information, engineering of agricultural Information systems and agricultural information processing, information communication technology (ICT) innovation in agriculture, food, and the environment.
 Aquaculture informatics: dealing with the scientific applications of Information Technology in biological concepts that enhance the productivity and economic viability of aquaculture sectors.
 Geo-informatics: dealing with development and application of information science infrastructure to address the problems of earth sciences such as geography, geodesy, cartography, photogrammetric
, GPS, GIS, and related branches of science and engineering.
 Applications of Artificial Intelligence and Machine Learning Techniques in science, engineering, management, health sciences, social sciences, and humanities.