Seifedine Kadry, PhD, is an associate professor at Beirut Arab University, Lebanon, and was previously a Professor with American University of the Middle East in Kuwait. He serves as Editor-in-Chief of the Research Journal of Mathematics and Statistics and the ARPN Journal of Systems and Software. He worked as Head of Software Support and Analysis Unit of First National Bank where he designed and implemented the data warehouse and business intelligence. In addition, he has published several books and is the author of more than 100 papers on applied math, computer science, and stochastic systems in peer-reviewed journals. At present his research focuses on smart learning in smart cities, social network analysis, and E-systems. He received a PhD in computing 2007 from the Blaise Pascal University (Clermont-II) -Clermont-Ferrand in France. He is an IEEE senior member.
Beirut Arab University
Lebanon
Email: skadry@gmail.com
DVP term expires December 2019
Presentations
Smart Learning in Smart Cities
Smart City is an urban intelligent city where the digital technologies are embedded in all services and functions. The Smart City concept is a general label which may imply on different nomenclatures and contexts. It is still evolving and it covers several areas, fields and sectors. Several researches tried and still trying to define the smart city and to determine main characteristics and aspects for any city to consider in order to be smart. We identified several key aspects that define a Smart City: smart governance and education, smart energy, smart building, smart mobility, smart infrastructure, smart technology, smart healthcare and smart citizen. While the Institute of Electrical and Electronics Engineers (IEEE) defined the smart city as the city that brings together technology, government and society to enable the following characteristics: smart cities, a smart economy, smart mobility, a smart environment, smart people, smart living, smart governance. One of the major aspects for the city to be smart is developing smart education and smart learning environments. Smart Learning Environment (SLE) is a technology-enhanced- learning environment that integrates the criteria and functions of intelligent learning systems and context-aware ubiquitous learning. While the Smart Education is the educational system that allows students to learn by using up-to- date technologies and it enables them to learn at anytime and anywhere through the technologies offered in their Smart Learning Environment. Smart Education has three main dimensions: educational and learning outcomes, ICT and the smart technologies offered and the organizational dimension. Participants could obtain a wide approach about Smart cities and smart education from academic and industrial point of view, and how the IEEE initiatives are integrated.
Social Network and Graph Analysis
Social networks, also referred to as social media, include many internet-based tools that help people to comprehend, interact, engage and collaborate with each other. Several social networking platforms such as Facebook, YouTube, LinkedIn, Twitter, and many Web based communities e.g. Book Crossing, are heavily being used nowadays in professional life and in some decision making processes. By its nature, social networking is interactive. You can express your feedback and share your experiences with anyone that you select and vice versa. Many businesses recognize the importance of the quality of the provided end-services, but when it comes to embracing the principles of openness and interaction that social networking enables, they may hesitate. After all, there may be just as much unfavorable feedback as there is favorable feedback out there. However, it’s the combination of both the positive and the negative that can truly empower organizations to make meaningful changes to enhance the quality of services. Social networks certainly make listening easier, but it’s the collection of data and the actions that organizations take that build enduring relationships with customers. Social networks operate on several levels, from individuals, families, and groups up to the level of nations, and play a critical role in determining the way problems are handled, organizations are run, and the degree to which individuals achieve their goals. Social network theory maps these relationships between individual actors. Though relatively new on the scene it has become very influential across the social sciences and became a powerful methodological tool alongside statistics. Participants could obtain a wide approach about Social Network Analysis from academic and industrial point of view, and how the IEEE initiatives are integrated.
E-based systems and computer networks
E-based systems and computer networks are becoming standard practice across all sectors, including health, engineering, business, education, security, and citizen interaction with local and national government. They facilitate rapid and easy dissemination of information and data to assist service providers and end-users, offering existing and newly engineered services, products, and communication channels. Recent years have witnessed rising interest in these computerized systems and procedures, which exploit different forms of electronic media to offer effective and sophisticated solutions to a wide range of real-world applications. We discuss and report on new and important developments in the field of e- systems, covering a wide range of current issues in the design, engineering, and adoption of E-Systems including commerce and business, learning and education, health care, government and law, voting, and service businesses. Participants could obtain a wide approach about E-Systems from academic and industrial point of view, and how the IEEE initiatives are integrated.
