Prof. Wei Fang
School of Computer, Nanjing University of Information Science & Technology, China
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Wei Fang is a Professor of Computer Science at Nanjing University of Information Science & Technology, and the founding Director of Institute of Artificial Intelligence and Meteorological Big Data (AIMB). His research interests include artificial intelligence, data science, meteorological big data Analysis and data mining.
Dr. Wei Fang is a Senior member of China Computer Federation; Member of Chinese Society for Artificial Intelligence; Evaluation experts of the Ministry of Science and Technology; Evaluation expert of the Ministry of Education; ACM member; Visiting scholar at the University of Florida (UF); Professional Consultant of China System Analyst Association (CSAI) Advisory Group; Member of Jiangsu Computer Society; Member of Jiangsu Artificial Intelligence Society.
Jiangsu Province Science and Technology Consulting Expert; Jiangsu Provincial Government Procurement Review Expert; Jiangsu High-tech Enterprise Evaluation Expert; Member of the Artificial Intelligence Professional Committee of Shanghai Meteorological Society
Served as the workshop chairman of the previous International Conference on Artificial Intelligence and Security (ICAIS), the TPC Member of the TURC_AIS 2019 and MLAI2022 International Conferences of the China Turing Conference, the guest editor of SCI journals such as Advances in Meteorology, Mathematics, Atmosphere, and IEEE Transactions on Circuits and Reviewer of many important academic journals such as Systems for Video Technology, Pattern Recognition, Information Fusion, Neurocomputing, CMC, IETE TECHNICAL REVIEW, Journal of Supercomputing, Journal of Electronics, Journal of Communications, etc.
Research on the Application of Artificial Intelligence in Meteorology
Artificial intelligence (AI) has become widely used in a variety of fields, including disease prediction, environmental monitoring, and pollutant prediction. In recent years, there has also been an increase in the volume of research into the application of AI to Meteorology This speech aims to explore the latest trends in the application of AI in Meteorology.
The Artificial Intelligence (AI) is playing a more and more essential role in the industrial revolution and we are seeking a lot of evolution in various machine learning methodologies. Forecast of meteorological disasters is an important and challenging worldwide problem. Various techniques have been used to solve it, but the accuracy of them is not high due to the highly nonlinear, random, and complex nature of precipitation. In recent years, with the rapid development of artificial intelligence technology, it has gradually penetrated into all aspects of people's lives, and the meteorological field are no exception. This speech will share our experience and research results in all aspects of the application of meteorology based on artificial intelligence.
Assoc. Prof. Moh’d A. Radaideh
Department of Software Engineering, Jordan University of Science and Technology, Irbid, Jordan
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Throughout the past 35 years or so, Dr. Moh’d A. Radaideh worked across many Sectors (e.g. Academia, IT Consulting, Governmental, etc.). He is currently serving at Jordan University of Science and Technology (JUST) in the capacity of Associate Professor of Software Engineering. Prior to JUST, he served at Amman Arab University (e.g. in the capacity of Associate Professor, Chairman of the Software Engineering and Mobile Computing Departments, and Assistant President for International Relations). Prior Positions include Board Member and CEO at ALROWAD IT Solutions in Abu Dhabi; IT/HR Advisor at Abu Dhabi Police; IS Program Chairman at UAE University; Senior Consulting Engineer at Verity (Sunnyvale-CA-USA); Staff Software Developer at IBM Canada; TA at McMaster University; Lecturer at Bahrain University; Engineer at HCT in AL-AIN-UAE; and TA at JUST.
Dr. Radaideh holds a PhD Degree in Electrical and Computer Engineering (Specialized in Software Engineering) from McMaster University; Masters Certificate in Project Management from George Washington University; MENG Degree (Electrical and Computer Engineering) from JUST; and BENG Degree (Electrical and Computer Engineering) from Yarmouk University.
The Software Project Management; from the Perspectives of the PMI, IEEE SWEBOK V3.0, and Agile-SCRUM
In this presentation, the speaker will elaborate on his own experience of designing, articulating, and delivering a reasonable senior course on the subject of Software Project Management (e.g. SE440 Software Project Management) as part of the Undergraduate Software Engineering Program Curriculum at Jordan University of Science and Technology. The journey started in September 2017 and continued since then. The speaker so far had delivered the said course fifteen times (e.g. 10 times during past 10 regular academic semesters, and 5 times during the past 5 condensed summer semesters).
2022 2nd International Conference on Electrical Engineering and Computer Technology（ICEECT 2022） http://iceect.com/