Computer Science and Information Technology

• Algorithms and bioinformatics;
• Algorithms and data structures;
• Algorithms and theory sequence;
• Analog computing;
• Anti-spam mail;
• Anti-virus issues;
• Approximate computing;
• Authentication or authorization issues;
• Bioinformatics;
• Blockchain;
• Business and technical communications;
• Business process;
• Case studies and experimental and theoretical evaluations;
• Cloud computing (runtime systems, parallel and distributed systems, virtualization, and software-hardware interactions);
• Cognitive systems;
• Computational complexity;
• Computational engineering, finance, and data science;
• Computational theory & mathematics, geometry, and linguistics;
• Computer architecture and engineering;
• Computer components and interconnection networks;
• Computer graphics, visualization and computer-aided design;
• Computer network security;
• Computer networks and communications;

Artificial Intelligence and Soft Computing

• Agent systems;
• AI algorithms;
• AI in modelling, simulation, scheduling and optimization;
• Ant algorithm;
• Ant colony optimization;
• Approximate reasoning (possibility theory, mathematical theory of evidence, fuzzy common knowledge);
• Artificial intelligence (theory, tools and applications);
• Artificial neural network (ANN);
• Automated reasoning, inference, and logic programming; Autonomous reasoning;
• Bayesian network;
• Bioinformatics;
• Bio-inspired systems;
• Biologically inspired computing;
• Brain emotional learning;
• Business intelligence;
• Chaos theory;
• Chaotic systems;
• Cognitive science;
• Computational creativity;
• Computational theories of learning;
• Computer vision and speech understanding;
• Data and web mining;
• Data mining and machine learning tools;
• Decision support system;
• Deep learning;

Internet of Things, Big Data and Cloud Computing

• Algorithms for energy-efficient, fast and secure computing in clouds;
• Application domains of data science and analytics in the cloud;
• Architectures for mobile cloud applications and services;
• Big data and internet of things (IoT) on the cloud;
• Big data applications and services;
• Big data computing;
• Big data mining;
• Big data security;
• Business, legal, economic and operational aspects of cloud applications;
• Cloud applications performance and monitoring;
• Cloud architecture for big data;
• Cloud computing platforms, applications and management;
• Cloud federation and hybrid cloud infrastructure;
• Cloud foundations for connected devices and real-time analytics;
• Cloud infrastructure for social networking with big data;
• Cloud security and privacy management;
• Cloud traffic characterization, engineering, measurements and control-plane architectures;
• Cloud, utility, edge and serverless computing paradigms;
• Clouds for big data and high-performance computing;
• Content and service distribution;
• Data analysis and visualization for IoT;
• Data center network management, reliability, optimization; Data flow management and load balancing; Data storage in clouds.

Digital Signal, Image and Video Processing:

• Acoustic and vibration signal processing;
• Advanced circuit and system design and implementation for emerging multimedia services; Biomedical imaging and image processing;
• Biomedical signal processing;
• Biometrics;
• Communication signal processing;
• Compression;
• Data processing;
• Detection and estimation;
• Digital signal and data processing;
• Digital signal processing;
• Diverse functionalities and services (classification, compression, identification, protection, recognition, restoration and segmentation);
• Earth resources signal processing;
• Efficient media sharing schemes in distributed environments; Emotion detection;
• Environmental signal processing;
• Facial recognition systems;
• Fast and complexity-reducing mechanisms to support real-time systems;
• Feature extraction;
• Filtering;
• Forensic voice comparison;
• Genomic signal processing;
• Geophysical and astrophysical signal processing;
• Handwriting recognition;
• Image and video compression: scalability, interactivity, international; Image processing: statistical inverse problems, motion estimation; Image and video-based recognition algorithms using deep neural networks;
• Image processing.