The computational science technologies we will be including are:

Track 1: Data Science & Engineering: Big Data Analytics, High Performance Computing, Bioinformatics and Computational Biology, Data Centric Programming, Data Modelling & Semantic Engineering, Data/ Text/ Web Mining, and Visualization, Domain Specific Data Management, Knowledge Engineering.

Track 2: Computing Technologies: Algorithms, Programming Languages, Computing Architectures & Systems, Computer Graphics, Vision & Animation Software & Database System, Multimedia Engineering, Networks, IoT and Cyber Security, Cluster, Cloud, & Grid Computing.

Track 3: Computational Intelligence: Data Mining, Neural Networks & Deep Learning, Meta heuristic algorithms, Machine Learning, Business Intelligence, Human Computer Interface, Crowd Sourcing & Social Intelligence.

Track 4: Communication & Networking: Green Communications, Wireless Communications and Networks, Optical Communications and Networks Modulation and Coding Techniques, Ad-hoc, Mesh and Sensor Networks, Vehicular Networks, Cellular Networks.

Track 5: Signal & Image Processing: Image / Video / Multimedia Signal Processing Audio / Speech / Spoken Language Processing, Digital & Multi-rate Signal Processing, Signal Processing Algorithms & Architectures, Pattern Recognition and Object Tracking, Compressive Sensing and High-dimensional Statistics.

Track 6: Intelligent Control Systems and Optimization: Data Based Control and AI Decision Support Systems, Distributed Control, Engineering Applications on Intelligent Control Systems & Optimization, Evolutionary Computation and Control Fuzzy Control Genetic Algorithms, Hybrid Learning Systems, Hybrid Systems, Intelligent Fault Detection, Diagnosis & Prognostics, Knowledge-Based System Applications, Machine Learning in Control Applications, Networked Control, Neural Networks Based Control Systems, Optimization Algorithms, Planning and Scheduling Soft Computing, Software Agents for Intelligent Control Systems.

Track 7: Robotics and Automation: Autonomous Agents, Cognitive Approach for Robotics, Collective & Social Robots Control and Supervision Systems, Drones and Internet of Things for Surveillance, Engineering Applications on Robotics and Automation Guidance, Navigation and Control, Human-Machine Interfaces, Humanoid Robots, Human-Robots Interfaces, Image Processing, Industrial Networks & Automation, Integration of Drones, Intelligent Transportation Technologies & Systems, Mechatronics Systems, Mobile Robots & Intelligent Autonomous Systems, Modelling, Simulation & Architecture, Network Robotics Perception & Awareness, Robot Design, Underwater Robots Surveillance, Fault Detection & Diagnosis Telerobotic & Teleoperation, Vehicle Control Applications, Virtual Environment, Virtual & Augmented Reality, Vision Recognition & Reconstruction, Nonlinear Signals & Systems Optimization Problems in Signal Processing Real-Time Systems, Control Sensors Fusion, Signal Reconstruction System Identification, System Modelling, Time-Frequency Analysis.

Track 8: Power, Energy and Power Electronics: Power Generation, Transmission and Distribution, Renewable Energy Sources & Technology, High Voltage Engineering, HVDC-FACTS, Switching Circuits & Power Converters, Power System Monitoring, Control & Protection, Micro Grids & Distributed Generation, Control, Communication & Monitoring of Smart Grid Energy Storage System.

Track 9: Agriculture & Computation: Smart agriculture, AI based plant disease identification, AI based animal disease identification, AI based crop recommendation system, IOT based agriculture solution, green house automation, Cattle health monitoring system, Precision farming, Agriculture Drones, Analytics in smart framings, Plant health monitoring system and Robots for agriculture.

Track 10: Healthcare & Computation: Unifying mind and machine through brain-computer interfaces, Developing the next generation of radiology tools, Expanding access to care in underserved or developing regions, Reducing the burdens of electronic health record use, Containing the risks of antibiotic resistance, Creating more precise analytics for pathology images, Bringing intelligence to medical devices and machines, Advancing the use of immunotherapy for cancer treatment, Turning the electronic health record into a reliable risk predictor, Monitoring health through wearables and personal devices, Making smartphone selfies into powerful diagnostic tools, Revolutionizing clinical decision making with artificial intelligence at the bedside.

Track 11: AI for human interaction: Smart assistants (like Siri and Alexa), Disease mapping and prediction tools, Manufacturing and drone robots, Optimized, Conversational bots for marketing and customer service, Robo-advisors for stock trading, Spam filters on email, social media monitoring tools for dangerous content or false news, Song or TV show recommendations from Spotify and Netflix.