Prof. Madjid FathiProfessor and Director
Institute for Knowledge Based Systems & Knowledge Management
Research Center for Knowledge Management and Intelligent Systems
University of Siegen, Germany
Speech Title: AI and Knowledge Management and their advance strategies for Big Data Technologies
Abstract: AI & KM (Knowledge Management) are not any more a concept and also not a model, which could meet the need of today’s requirement. A large leap in science, technology and our sociological perception, enabled AI to become a new mega-trend for developing and digitalizing a variety and fusion of areas as economy, ecologies and education. It is becoming a new resource, dynamically integrated with existing technologies to be successful and approachable, the need’s is intelligent methodologies based on Big Data analytics. We are aware that technological resources for Big Data handling have to be far more than just a compound intersection of networks of information and isolated methods. For today’s digitalization and to advance the digital fields, we have to develop a sustainable intersection with a reusable AI and novel concepts to maintain and manage the enabling knowledge as a core resource. This help to achieve progress in AI solution for intelligent networking of cyber physical devices.
To achieve smart society it should be prepared any kind of Smartness is in dire need of simpler, more powerful and more usable AI approaches building on a smart intersection of multi-dimensional big data analysis and intelligent algorithms to support the mega organization and integration of information and citizens' needs to prove the power of a sustainable perspective for AI.
Biography: Madjid Fathi is a professor and Head of KBS & KM (Knowledge Based System & Knowledge Management) institute at the EECS Department at the University of Siegen, Germany. Accordingly, he obtained Habilitation degree (Post-Doctorate) at the University of Ilmenau, Germany, in 1998. Before he got the Professor at the Department of Electrical Engineering and Computer Science at the University of Siegen, he was visiting scholar at Florida State university and from 2003 at LMM (Lab for Micromechanics- Prof. Garmestani) Georgia Institute of Technology. Since 2004, he is In Siegen. He was Visiting Scholar with Professor Zadeh father of Fuzzy Logic at U.C. Berkeley dept. of EECS joined the BISC (Berkeley Initiative of Soft Computing) from Sep/2012 to Sept/2013. As head of KBS lead a large of different academic team of researchers and educators which has, thus far, resulted in over 60 theses.
His research interests are focused on AI, Knowledge Based System (KBS), knowledge management and their applications in medicine and engineering, knowledge transfer, organizational learning, and knowledge discovery from text (KDT).
He is the editor of "Integration of Practice-Oriented Knowledge Technology" (2013) and "Integrated Systems, Design and Technology" (2011) published by Springer, as well as three(text book- the last one has been published in October 2019 with the title: Computer aided Writing by Springer)and five edited books. He, with his students, has published with more than 270 publications including 30 Journal publications, and obtained four paper awards. He got the European Award Cute-prize 2015. He is a senior member of IEEE as well as member of editorial board of five respective journals. He is the founder of Alzheimer Knowledge Platform www.Alwip.de
Prof. Zhang RanBusiness School, Renmin University of China
Speech Title: Big Data and Quantamental Investing in China
Abstract: China’s domestic stock market, also known as China A shares is the second largest equity market in the world after the US. More importantly, it offers broad and extensive trading liquidity. Currently, the total trading volume in China is larger than the entire MSCI Emerging Markets combined. Compared to most other countries, China’s stock market is more heavily dominated by retail investors and retail trading volume. The market is highly speculative and volatile. As a result, standard quantitative stock selection factors perform well in China, but show very different patterns to other markets.
With the largest population in the world, China enjoys the biggest big data in the world, which is very useful in Quantamental Investing. For example, the customer location data based on the location of cell phones are very useful to forecast the earnings and then the future returns for retail firms. The speaker will talk about mainly on how big data be used on Quantamental Investing and specifically, several of her own research.
Biography: Zhang Ran, Professor of Business School in Renmin University of China. She worked at Guanghua School of Management, Peking University from 2006 to 2019. She is currently a member of the first Accounting Standards Advisory Committee of the Ministry of Finance, and serves as an independent director and chairman of the audit committee of BYD Company Ltd..