Speakers of The first International Conference on Digital Economy 2016. Emerging Technologies & Business Innovation.

Pr N.J. Delener

Pr N.J. Delener

Title of the speech : Globalization and Emerging Technologies: Advances that Will Transform Business and the Global Economy
Biography of the speaker : Dr. N.J. Delener was formerly the Founding Dean of the School of Global Business at Arcadia University. As Founding Dean, faculty and programs across two campuses in the U.S. and Singapore were managed. In addition, he created a Center for Entrepreneurship & Sustainable Enterprises. Joint degree and off-shore graduate and undergraduate programs were also developed. The programs were developed in China, Romania and France. Under Delener`s leadership, SUNY’s School of Business doubled graduate enrollment, established international exchange and faculty development programs, took the university to the final phase of accreditation from the Association to Advance Collegiate Schools of Business International (AACSB) in four years, and developed new degree and certificate programs.
Prior to his time at SUNY, Delener was the Associate Dean for Academic Affairs and the Director of International Business Studies at the Peter J. Tobin College of Business at St. John’s University, a professor of marketing and international business, and a visiting lecturer at Erasmus University in Rotterdam, the Netherlands. He has also served a consultant to several companies, including Marriott Corp., Ellington Duval Inc., and World Wide Marketing Group.
Delener is the founder and elected president of the Global Business and Technology Association, which consists of more than 2,000 members worldwide, and he is Editor-in-Chief of the Journal of Global Business and Technology, an interdisciplinary journal for the advancement of knowledge of the theory and practice of international business and technology. He has conducted numerous executive seminars in several countries, including Brazil, Czech Republic, England, Hungary, Italy, the Netherlands, Portugal, Russia, South Africa, Spain, Switzerland, Taiwan, and Turkey.
Published in 2012, his most recent book – Service Science Research, Strategy and Innovation: Dynamic Knowledge Management Methods – explores strategy development, leadership, management, marketing, service contracts, e-government, e-commerce, and human capital management. Delener has published 18 books and more than 100 articles in prestigious, refereed journals, including the Journal of Business Ethics, the Journal of Advertising Research, the Journal of Academy of Marketing Science, the Journal of Business Research, the Journal of Emerging Markets, the Journal of Marketing Theory and Practice, the Public Administration Journal, the International Journal of Bank Marketing, the Journal of Marketing Management, the Journal of International Consumer Marketing, and the Journal of Euromarketing among others.
An honorary inductee of the Iota Chapter of Beta Gamma Sigma, the international honor society serving business programs accredited by AACSB International, Delener is the recipient of several awards and grants, including the Global Leadership Award, University Excellence in Teaching and Scholarship Award, the Administrative Outstanding Achievement Award, the National Service Award, and a research grant from the U.S. Department of Education.
Delener earned a Ph.D. from the Graduate School at the City University of New York and an M.B.A. and Advanced Professional Certificates in Marketing and Strategic Planning from the Stern School of Business at New York University.
Pr A. Alimi

Pr A. Alimi

Title of the speech : How Hybrid Intelligent Approaches can help for Mining Big Data Streams in a Smart City
Description of the Speech : Smart City initiatives aim at tackling the ever-increasing problems caused by rapid population growth in urban areas. Big Data are typically produced in different sectors of theabove smart cities, often geographically distributed throughout the world, and are characterized by a large size and variety
Big Data is not just about storage of and access to data. Therefore, there is a strong need for such Big Data streams analytics. Big Data analytics is considered as an imperative aspect to be further improved in order to increase the operating margin of both public and private enterprises, and represents the next frontier for their innovation, competition, and productivity. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms
Most machine learning algorithms can’t easily scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety
The talk highlights newly developed technologies allowing for the design of next generation smart systems. These enabling technologies represent the core of the Smart City concept and have become available thanks to spectacular advances made in the fields of machine intelligence, smart devices, sensor networks, big data analytics and Internet of things
The talk also outlines recent achievements and promising directions in the field, while highlighting challenges toward achieving short and long-term goals of building more livable and more sustainable cities of the future.

Biography of the speaker : Adel M. Alimi (IEEE Senior Member) was graduated in Electrical Engineering in 1990. He obtained a PhD and then an HDR both in Electrical & Computer Engineering in 1995 and 2000 respectively. He is full Professor in Electrical Engineering at the University of Sfax, ENIS, since 2006. He is founder and director of the REGIM-Lab. on intelligent Machines.
Prof. Alimi founded and volunteered for several academic, research, and scientific structures and associations: REGIM-Lab., Tunisian Section of IAPR, University Chair of Innovation.
Prof. Alimi Scientific Production: Scopus h index=19, Papers (Journals=87, Conferencse=307), Citations=1700+,  20+ chapters in edited scientific books, 56 PhD Thesis defended, 20 Tunisian patents.
Prof. Alimi served as Expert evaluator for Quality Assurance and Accreditation projects, Expert evaluator for several European and International research projects (FP7-ENPI-CMCU-ALECSO), Associate editor and member of the editorial board of several international scientific journals, Guest editor of several special issues of international journals, and as co-Chair of several international conferences.
Prof. Alimi received several IEEE Awards, INNS Award, Tunisian Presidency Award for Scientific Research and Technology, and Tunisian National Order of Merit, at the title of the Education and Science Sector.
Pr O. Zayane

Pr O. Zayane

Title of the speech : Towards Clinical Decision Support Systems: Translating Clinical Practice Guidelines to Computer Interpretable Guidelines
Description of the Speech : Clinical Practice Guidelines (CPGs) offer concise instruction on the optimal care for the patient based on the latest clinical findings. They are collections of regularly updated text documents written by specialists outlining procedures to follow given some conditions. The main benefit of a CPG is to improve the quality of care, and the consistency of care. For a health care professional, a CPG can help offer explicit recommendations when one is uncertain about how to proceed, and are a basis to alert a health care professional when an ineffective practice is pursued. Many health care practitioners are not aware of the existence of CPGs. Nevertheless, integrating CPG knowledge into clinical systems, such as decision support systems, has shown to be effective to improve healthcare. There is a growing interest in formalizing the medical knowledge contained in CPGs in order to integrate it into clinical decision support systems. CPGs are authored by different organizations. Each organization has it is own standard in developing and reviewing guidelines and therefore CPGs formats and structures vary across multiple organizations, which further complicates the automation of the CPG formalization. Manual formalization is very expensive and automation is highly desirable. There are several formal languages developed to help modelling clinical guidelines into a Computer Interpretable Guideline (CIG). Assuredly, the development of the guideline modelling languages is an important step toward facilitating the CPG formalization process, yet the formalization task remains laborious and complex, mainly because it requires two different areas of expertise: a medical expertise to correctly interpret the medical knowledge of CPGs, and a knowledge engineer expertise to correctly represent the medical knowledge using the syntax of the modelling language
We present preliminary results of research aiming to minimize the effort required by human modelers to integrate the knowledge contained within CPGs into clinical systems such as clinical decision support systems by automating the manual CPG formalization process. Full automation of the CPG formalization is not possible due to the computational complexity of natural language understanding; therefore, we narrowed our focus to automate the formalization of parts of the CPG text that conform to predefined lexical patterns that are used by medical experts to express specific clinical recommendations such as prescribing a medication or ordering a lab test for a patient. Our initial implementations, with automatic disambiguation of narrative text, show very promising results and good generalization capabilities. However, much remains as an open problem.

Biography of the speaker : Osmar R. Zaïane is a Professor in Computing Science at the University of Alberta, Canada, and Scientific Director of the Alberta Innovates Centre for Machine Learning. Dr. Zaiane joined the University of Alberta in 1999. He obtained a Master's degree in Electronics at the University of Paris France, in 1989 and a Master's degree in Computer Science at Laval University, Canada, in 1992. He obtained his Ph.D. from Simon Fraser University, Canada, in 1999 under the supervision of Dr. Jiawei Han. His Ph.D. thesis work focused on web mining and multimedia data mining. He has research interests in data analytics, namely novel data mining algorithms, web mining, text mining, image mining, social network analysis, data visualization and information retrieval with applications in Health Informatics, e-Learning and e-Business. He has published more than 200 papers in refereed international conferences and journals, and taught on all six continents. Osmar Zaiane was from 2009 to 2012 the Secretary-Treasurer of the ACM SIGKDD (ACM Special Interest Group on Data Mining) which runs the world’s premier data science, big data, and data mining association and conference. He is also on the steering committee of many data mining conferences such as IEEE International Conference on Data Mining, Advanced Data Mining and Applications, Data Science and Advanced Analytics. He was the Associate Editor then Editor-in-Chief of the ACM SIGKDD Explorations from 2003 to 2010. He is also Associate Editor of the Knowledge and Information Systems, An International Journal, by Springer, and of the journal Data Mining and Knowledge Discovery by Springer, as well as the International Journal of Internet Technology and Secured Transactions He was the General co-Chair of the IEEE International Conference on Data Mining ICDM 2011. Osmar Zaiane received the ICDM Outstanding Service Award in 2009 and the 2010 ACM SIGKDD Service Award. He is the General co-Chair of the IEEE International Conference on Data Science and Advanced Analytics 2016
Pr O. Nasraoui

Pr O. Nasraoui

Title of the speech : Recommender systems
Pr Serge Miranda

Pr Serge Miranda

Title of the speech : Digital revolution: 4IT paradigm switchs
Biography of the speaker : Serge Miranda is a full-time Professor of Computer Science at the University of Nice Sophia Antipolis (UNS), France, a position he has held since October 1983 after a PH-D in Toulouse University (France) and a Master thesis at UCLA (University of California, Los Angeles with an INRIA Scholarship). Serge Miranda has authored or coauthored more than 100 publications and published six successful French books on databases (15 Editions) with many invited conferences around the world (in French, English and Spanish). New books on BIG DATA and NFC are expected in 2016. In 2015, he was selected by a New York judge as a scientific expert on an international NFC patent litigation.
He has been running a MBDS master degree and innovation laboratory (since 1992) devoted to data base, Big Data and mobiquitous information systems with important financial involvement of industry partners to prototype information services of the future. A genuine MBDS business model was set up between the University of Nice and key IT industry partners based upon joined tutored contracts. Several innovative wireless information cell-phone-centrics applications with communicating objects were prototyped at MBDS in the area of m-payment, digital campus, health (elderly people), travel/tourism, sustainable economy (fair trade, NFC posters for illiterate, etc.). MBDS is de facto an INNOVATION laboratory which gave the key initial impetus of Nice becoming the 1st NFC city in Europe in 2010. MBDS has been successfully delocalized in Haiti (since 1998), Morocco, Madagascar and Russia.
Serge Miranda founded and became the first president (until 2012) of a multidisciplinary University foundation DreamIT on December 2009 within the University of Nice around the MBDS kernel. He is the president of MASLOW non-profit organization created in 2015 within the Sophia Antipolis foundation.
On March the 21st 1998, he was decorated (“Chevalier Ordre du Merite”) by Senator Pierre Laffitte (founder of Sophia Antipolis science park) on behalf of the Ministry of Industry of France for recognition of his original contribution between higher education and industry in the science park of Sophia Antipolis.