Prof. Dr. Hamid Doost Mohammadian now is a Keynote Speaker at the IEEE conference LWMOOCS VII, Learning with MOOCS 2020 in Antigua Guatemala, from 30 September – 02 October, 2020.
His speech title is: "The 5th Wave/Tomorrow Age Theory as Solutions for the 4th Industrial Revolution".
The concept considers the 5th Wave/Tomorrow Age Theory (invented by Prof. Dr. Hamid Doost Mohammadian 2017-2019), which is about readiness to change into the new age we are just entering. Interestingly, it forecasted a crisis, and we are presently inside the contagion of the COVID-19 crisis.
The aim of this speech is to study “Contagion and Tomorrow’s Societies/Cities/Business: Theories and Hybrid Views by i-Sustainability Plus and 5th Wave Theories”. This also aims to cover the impact of 4.0 technologies on tomorrow’s Societies/Cities/Business, including the large-scale deployment of Internet of Things (IoT), the employment of big data and machine learning for tomorrow’s cities forecasting, the use of cloud platforms for the control of smart cities, and the new cyber-risks for this sector. Cities’ economies have changed from an urban economy to a data and urban economy, leading to the concept of Tomorrow’s Business and Cities in Society 6.0” and "SME 5.0".
He will also discuss about The world economy has changed from a business economy to a data and business economy, leading to the concept of the “Internet of Business”. Technology development has led to new opportunities for business improvement. IoT is a new technique used in Industry 4.0 (I4.0) that enable businesses to better manage resources and provide them with the flexibility to respond to business conditions. The digital transformation driven by 4.0 technologies is having a disruptive impact on many business sectors. These innovations allow us to respond to both the growing business demand and the maintenance cost of businesses and a reduction in downtime. The application of IoT technologies to vast types of devices has led to electrical networks being monitored and controllable in a capillary way. Big data techniques and predictive models allow smart business management, from a national scale up to global, facilitating the spread of different business systems. New intermediaries and new business models appear in the market.
He is also in the conference committee and editorial board member of this conference to review the articles.
For more information the following links are available: