Namal Arosha Senanayake's picture

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First Name: 
Namal Arosha
Last Name: 
Senanayake
Affiliation: 
IntelliHealth Solutions
Job Title: 
Founder and Leader
Expertise: 
Artificial Intelligence, Hybrid Intelligent Systems, Cloud Computing, Biofeedback
What's New?: 
Vision: Hybrid Intuition. Mission: Synergy of Pattern Miner and Hybrid Clouds. Hybrid Intuition (HI): There are three core technologies involved; pattern miner, hybrid intelligence, and data-driven service architectures. The design and implementation of soft Bio-Inspired Rehabilitation Devices (sBIRD), HI, & intelligent clouds are new dimensions of research leading to smart citizen. The evolving sBIRD embedded HI facilitates to re-energize, re-invent, & re-build as stages of artificial life cycle (ALC). HI is proven for smart health solutions; https://intelli-health.org/ Master-Slave IoT, Array of Things (AoT), Wearable computing, Wearable Health OS
Short Bio: 
Adjunct Professor of IIoT & Intelligent Systems at Taylor's University Liaison Officer cum Visiting Professor of Advanced Global Program at Gifu University, Japan Founder & Leader of IntelliHealth Solutions (Technology Licensing) Advisory Board Member of Swiss Innovation Valley Associate Editor of Smart Sensing and Intelligent Systems (S2IS) Journal Guest Editor of Sensor Fusion and Machine Perception of Frontier of Robotics and AI

Datasets & Competitions

The main objective of this project is to design and develop a collaborative framework which facilitates real-time tracking of a target person even when GPS signal is not available, while collecting motion data to infer his or her lifestyle and health status. The framework orchestrates a wide range of technologies such as localization technologies, machine learning and AI, sensor data analytics and cloud computing. The overall framework design also takes into consideration the culture, lifestyles, behaviours and infrastructures of ASEAN countries.

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AoT for Smart Society provides solutions of industry 4.0 standards in which contains custom-built multisensory wearable suit with cloud connectivity interfaced Artificial Intelligent techniques and Machine Learning algorithms in order to detect, to monitor and to analyze biofeedback control and visualization during human daily activities.

 

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