10^th International Conference of Advanced Computer Science & Information Technology (ACSIT 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Computer Science and information technology. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced CS & IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.

Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science and Information Technology. Topics of interest include, but are not limited to, the following

• Algorithms and Bioinformatics

• Big Data

• Blockchain

• Computer Architecture and Real time Systems

• Compiler Design

• Computer Education

• Database and Data Mining

• Deep Learning

• Dependable, reliable and autonomic computing

• Distributed and parallel systems & algorithms

• DSP/Image Processing/Pattern Recognition/Multimedia

• Embedded system and software

• Game and software engineering

• Geographical Information Systems/ Global Navigation Satellite Systems (GIS/GNSS)

• Grid and scalable computing

• Intelligent Information & Database Systems

• Internet of Things

• Machine Learning & Applications

• Mobile and ubiquitous computing

• Modeling and Simulation

• Multimedia systems and services

• Networking and communications

• Natural Language Processing

• Operating Systems

• Performance Evaluation

• Programming Languages

• Security and Information Assurance

• Soft Computing (AI, Neural Networks, Fuzzy Systems, etc.)

• Software Engineering

• Theoretical Computer Science

• Web and internet computing

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library