**The Conference topics include, but are not limited to:**

**Track 1: Applied Combinatorial Intelligence: Systems and Models**

- Graph Theory & Combinatorics, Graph Drawing & Labeling
- Combinatorial Optimization
- Algorithms on Strings & Graphs
- Complexity Theory, Combinatorial design theory
- Computational Algebra & Geometry
- Algorithmic Game Theory, Equilibrium Theory
- Algorithms and Data Structures
- Approximation Algorithms, approximate learning
- Parameterized and Exact Algorithms
- Algebraic combinatorics, Analytic combinatorics
- Arithmetic combinatorics, Enumerative combinatorics
- Geometric combinatorics, Infinitary combinatorics
- Matroid theory, Order theory, Partition theory
- Probabilistic combinatorics, Topological combinatorics
- Coding theory, Combinatorial optimization
- Combinatorics and dynamical systems
- Discrete geometry, Finite geometry
- Small space, sub-linear time and streaming algorithms
- Distributed and parallel approximation
- Embeddings and metric space methods
- Mathematical programming methods
- Algorithmic game theory, mechanism design and economics
- Computational geometric problems
- Numerical analysis, Probability and statistics
- Fuzzy Logic, Neural Networks, Fuzzy Set Theory
- Optimization, Modeling, and Simulation
- Computation in Complex Networks
- Computational Statistics, Analysis, Operations Research
- Uncertainty Theory and applications
- Group theory, Fuzzy graphs
- Complex Systems: Modeling and Simulation
- Neighbourhoods and efficient algorithms for searching them
- Variation operators for stochastic search methods
- Constraint-handling techniques
- Search space and landscape analyses
- Automatic algorithm configuration and design
- Estimation of distribution algorithms
- Surrogate-model-based methods
- Matheuristics, Hyper-heuristics and autonomous search
- Application and modeling of Soft Computing, Knowledge Engineering, and Machine Learning
- Applications and case studies in Intelligent Computing
- Applications and modeling of meta-heuristics to combinatorial optimization problems

**Track 2: Computational Intelligence: Systems and Models**

- Foundations of intelligent and high performance computing paradigm
- Artificial Intelligence and machine learning
- Intelligent Process and Industrial automation
- Intelligent Automation in energy systems
- Smart Planning, scheduling and coordination
- Intelligent Instrumentation systems and applications
- Intelligent Modeling and identification
- Fuzzy control and intelligent systems
- Fuzzy decision making and decision support systems
- Pattern Recognition and Image Processing
- Data visualization and Data pre-processing
- Data Engineering and database mining techniques
- Big Data Analytics and Big Data Processing on the Cloud
- Big Data Search, Mining, and Visualization
- Distributed and cloud Computing
- Design tools for cloud computing
- Mobile cloud networking
- Energy efficiency and clouds
- Economic and business models for cloud computing
- Parallel, Multi-core and Grid Computing
- Intelligent wireless sensor networks
- Intelligent satellite communications
- Intelligent radar signal processing
- Machine learning algorithm & cognitive radio networks
- Machine learning and information processing in WSN
- Decentralized learning for wireless communication systems
- Intelligent Object Identification
- IoT- Sensors and its applications in manufacturing services
- Wireless Body Area Network (WBAN) in IoT Health-care
- Software Defined Network (SDN)
- IoT â€“based Big Data Analytics
- Socio-economic impact on IoT ecosystems
- IoT Developments: Sustainability Development Goals (SDGs)
- IoT and Smart Technology in Education and e learning
- Information Security, Data security and Data privacy
- Communication protocol security
- Security-related Algorithmic Complexity
- Intelligent Data security and Data privacy
- Intelligent Communication protocol security
- Security in new paradigms of intelligent data
- Cyber hacking, next generation fire wall of intelligent data