Cognitive computing plays a vital role in embedding human cognitive intelligence into the intelligence-disabled computer. This technology takes unstructured data as an input such as images or expression and recognizes, understand, and interpret the patterns based on the cognitive computing algorithm. Intelligent Computation Intelligence utilizes computational methodologies to resolve the high complexity real-world problem by developing a mathematical model based on statistical modeling.

The intelligent computational Intelligence methodologies are artificial neural networks, genetic algorithms, expert systems, evolutionary computation, artificial immune systems, fuzzy logic, swarm intelligence, artificial life, virtual worlds, and hybrid methodologies based on previous combinations.

This international conference ICCML on cognitive and intelligent computing is a forum of scientists, researchers, civic bodies to discuss and exchange statistical, experimental or theoretical results, novel designs, work-in-progress, experiences, case studies, and trend-setting ideas in the area of smart city, Intelligent Computing, Cognition, Cyber physical systems an and related areas. Papers with new research results and new products or concepts are encouraged for submission.

The technical program will consist of, but is not limited to, the following topics of interest:

Machine Learning in Control Applications

Soft Computing

Neural Networks based control systems

Pattern Recognition

Decision support systems

Text analytics and NLP

Statistical Learning

Neural Network Learning

Learning Through Fuzzy Logic

Learning Through Evolution (Evolutionary Algorithms)

Reinforcement Learning

Multi-Strategy Learning

Cooperative Learning

Planning And Learning

Multi-Agent Learning

Online And Incremental Learning

Scalability Of Learning Algorithms

Inductive Learning

Inductive Logic Programming

Bayesian Networks

Support Vector Machines

Case-Based Reasoning

Machine Learning For Bioinformatics and Computational Biology

Multi-Lingual Knowledge Acquisition and Representation

Grammatical Inference

Knowledge Acquisition and Learning

Knowledge Discovery In Databases

Knowledge Intensive Learning

Knowledge Representation and Reasoning

Machine Learning and Information Retrieval

Machine Learning For Web Navigation and Mining

Learning Through Mobile Data Mining

Text And Multimedia Mining Through Machine Learning

Distributed And Parallel Learning Algorithms and Applications

Feature Extraction and Classification

Theories And Models for Plausible Reasoning

Computational Learning Theory

Cognitive Modelling

Hybrid Learning Algorithms

Smart Grids

Smart Agriculture & Farming

Smart Cities

Security threats in Smart Cities

Smart and sustainable transport system

Smart healthcare system

Innovative agriculture process

Future challenges in smart cities

IoT Protocols And Transports

Security for IoT

Wearable Devices,

IoT Architectures & Protocol

IoT's Impact on 5G

IoT System Architecture

IoT Enabling Technologies

Social Acceptance of IoT Systems

Web Intelligence and Computing

Swarm Intelligence

Mobile Computing

Sensor Networks and Social Sensing

Wireless Mesh Networks

Wireless Networks Management

Wireless Protocols and Architectures

Multi-Agent Systems

Human-Computer Interaction

Data Mining and Knowledge Discovery

Knowledge Management and Networks

Data Intensive Computing Architecture

Resource Management and Scheduling

Intelligent E-Learning Systems

Smart Environments and Applications

Genetic Algorithms

Evolutionary Computation

Intelligent Control

Optimization

Nonlinear System and Control

System Theory and Control Theory

Video and Image Processing

Internet Security

Big Data

Cellular Networks

Social Networks & E-Commerce

Computer and Network Forensics

Data and Network Outsourcing Services

Cloud and Edge Computing

Routing and Network Management

Cyber Deterrence Strategies

Mobile and Wearable Devices

Social, Economic, and Policy Issues of Trust, Security, and Privacy.

Machine Learning

Deep Learning

Artificial Intelligence

Cognitive Science

Data Science

Big Data Analytics

Cyber Security

Cryptocurrency & Blockchain

Internet-of-Things

Security and Information Assurance

ICT & AI in Education

Soft Computing

High performance Computing

Distributed Computing

Parallel Computing

Cloud Computing

Wireless Computing & Communication

Edge Computing

Smart Grid and Smart Cities

Robotics, Control Systems & Theory

Signal, Image and Speech Processing

Circuits and Systems

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

Modeling and Simulation

Multimedia systems and services

Software engineering

Natural Language Processing

Theoretical Computer Science

Algorithms and Bioinformatics

Nano Technology

Computer Vision

Autonomous Vehicles

Business Intelligence

Optimization Techniques

Applications of IOT, Smart City & Machine learning in:

Medicine, Health, Bioinformatics and Systems Biology

Industrial and Engineering Applications

Security Applications

Smart Cities

Game Playing and Problem Solving

Intelligent Virtual Environments

Economics, Business And Forecasting Applications, etc.

The conference will include a number of interesting keynote plenary talks, which will be announced on the conference web site as arrangements are finalized.