Track 1

Advances in High Performance Computing

    Adhoc and Sensor Networks
    Network Security
    Social Media and Networking
    Multi-Core Processing
    Databases and Data Mining Applications
    Distributed Databases
    Query and Search Engine Optimization
    Software Engineering
    Software Project Management
    Algorithms for Numerical Linear Algebra and Data Structures
    Load Balancing, Scheduling and Resource Management in Networks.
    Large Scale Graph Analytics
    High Performance Computing
    Big Data Computing and its Applications
    Hardware Acceleration for Parallel Applications
    Parallelism in Scientific Data Visualization and Visual Analytics
    Scientific/Engineering/Industrial Applications and Workloads
    Exascale Computing and Cloud Platforms
    Data Center Architectures and Services
    Parallel Languages, Programming Environments and Performance Assessment
    Hybrid Parallel Programming with GPUs and Accelerators

Track 2

Advances in Data Science

    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 and Deep Analytics
    Scalable Analysis and 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 Science
    Data Analytics, Machine Learning and Knowledge Discovery
    Data Science Meets Social Science
    Security, Trust and Risk in Big Data
    Data Integrity, Matching and Sharing
    Privacy and Protection Standards and Policies
    Privacy Preserving Big Data Access/Analytics
    Social Impact and Social Good

Track 3

Advance of Artificial Intelligence in Interdisciplinary areas

    Application of hybrid artificial intelligence approaches for hydraulic problems.
    Using artificial neural networks for estimation of the energy consumption obtained by dams and hydropower plants.
    Swarm intelligence for optimum weight of the structures.
    Metaheuristic optimization algorithm in design optimization of 2D and 3D steel or concrete structure.
    Genetic programming for large-scale civil engineering problems.
    Application of fuzzy logic in civil engineering problems.
    Machine learning for mechanical problems in civil engineering.
    Optimization model for single- and multiobjective solutions for construction management.
    Application of AI in Traffic Control and Safety.
    Application of AI in machine design
    Applications of  AI  in fluid dynamics
    Modeling  Analysis  CAD/CAM/CAE
    Applications of AI in  CFD
    Advances in FEA/FEM
    eep learning of NC/CNC Machines
    RF/ Antenna/Microwaves
    Wireless sensor networks / Ad-hoc sensor networks
    Cognitive radio
    Machine type communication (MTC) /Device to Device communication (D2D)
    MIMO / Massive MIMO/ mmWave communication
    Cellular IoT / NB- IoT/ LoRa / SigFox
    Optical signal processing
    Radar signal processing
    Signal and image processing
    Audio signal processing
    CAD for VLSI
    Analog VLSI
    System on Chip (SoC)
    Network on Chip (NoC)
    VLSI signal processing
    Smart grid Systems
    Energy Storage Technologies and Systems
    Power Converter Topologies
    IoT Applications
    Big Data and Deep learning Applications
    Computational intelligence and Optimization
    Information Security and Privacy
    Industrial Automation
    Renewable Power Conversion Technologies
    Smart Electric Vehicles
    Distributed Generations and Systems
    Power and Control Systems
    Restructured PowerSystems