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Invited Speakers

Invited Speaker



Madjid Tavana, Ph.D.
Professor and Distinguished Chair of Business Analytics
Chairman of the Business Systems and Analytics Department
La Salle University ● Philadelphia, Pennsylvania  19141 ● USA
Phone: (215) 951-1129 ● Fax: (267) 295-2854 ● Skype: madjidtavana
Email: tavana@lasalle.edu ● Web: http://tavana.us
Decision Analytics
International Journal of Applied Decision Sciences
International Journal of Management and Decision Making
International Journal of Knowledge Engineering and Data Mining
International Journal of Strategic Decision Sciences
International Journal of Enterprise Information Systems
Madjid Tavana is Professor and Distinguished Chair of Business Analytics at La Salle University, where he serves as Chairman of the Business Systems and Analytic Department. He is Distinguished Research Fellow at Kennedy Space Center, Johnson Space Center, Naval Research Laboratory at Stennis Space Center, and Air Force Research Laboratory. He was recently honored with the prestigious Space Act Award by NASA. He holds a MBA, PMIS, and PhD in Management Information Systems and received his Post-Doctoral Diploma in Strategic Information Systems from the Wharton School at the University of Pennsylvania. He is the Editor-in-Chief of Decision Analytics, International Journal of Applied Decision Sciences, International Journal of Management and Decision Making, International Journal of Knowledge Engineering and Data Mining, International Journal of Strategic Decision Sciences, and International Journal of Enterprise Information Systems. He has published 10 books and over 200 research papers in scholarly academic journals.


TITLE:Euclid:An Interactive Decision Support System with Applications

Prof. Dr. Madjid Tavana, La Salle University, USA


Euclid is a simple and yet sophisticated Interactive Decision Support System that uncovers some of the complexities inherent in the evaluation of strategic alternatives. Euclid uses large datasets and a series of intuitive and analytical methods (i.e., environmental scanning and SWOT Analysis, objective/subjective weight estimation, probability theory, entropy, fuzzy set theory, and theory of displaced ideal) to plot strategic alternatives on a Cartesian coordinate plane relative to their Euclidean distance from the ideal alternative. In this presentation, Dr. Tavana demonstrates the key features of Euclid and presents ten applications of Euclid in government and industry:

 1. Alternative Mission Architecture Assessment for the Human Exploration of Mars at NASA

2. A Priority Assessment Model for Human Spaceflight Mission Planning at NASA  

3. SLICE: A Threat-Response Multi-Criteria Funding Model for Homeland Security Grant Programs

4. Fahrenheit 59: A Benchmarking System for Global Warming in the European Union at NASA

5. Base Realignment and Closure (BRAC) at the Department of Defense and Naval Research Lab

6. Assessing International Alliances for NATO Membership Enlargement (Pilot Study)

7. A Fuzzy Euclid Model for Advanced Technology Assessment at NASA

8. Fuzzy Euclid Application to the European Union Enlargement Decision Facing the European Commission (Pilot Study)

9. A Hybrid Delphi-SWOT Model for Oil and Gas Pipeline Planning in Caspian Sea Basin

10. A Risk-Benefit Analysis Model for Médecins Sans Frontières (Doctors Without Borders)





Dr. Fatos Xhafa received his PhD in Computer Science in 1998 from the Department of Computer Science of the Technical University of Catalonia (UPC), Barcelona, Spain. Currently, he holds a permanent position of Professor Titular at UPC, Barcelona Tech. He was a Visiting Professor at Birkbeck College, University of London (UK) during academic year 2009-2010 and Research Associate at Drexel University, Philadelphia (USA) during academic term 2004/2005.  Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters and edited books and proceedings in the field (http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos). He is awarded teaching and research merits by Spanish Ministry of Science and Education, by IEEE conference and best paper awards. Prof. Xhafa has an extensive editorial and reviewing service. He is editor in Chief of International Journal of Grid and Utility Computing and International Journal of Space-based and Situated Computing from Inderscience and member of EB of  several International Journals and Guest Editors of Special Issues. He is Editor in Chief of the Elsevier Book Series “Intelligent Data-Centric Systems” is actively participating in the organization of several international conferences and workshops.  He is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Emerging Technical Subcomm of Internet of Things.

His research interests include parallel and distributed algorithms, massive data processing and collective intelligence, optimization, networking, P2P and Cloud computing, security and trust worthy computing, machine learning and data mining, among others.   


TITLE:Data Never Sleeps: Challenges of Big Data Processing for Intelligent Interactive & Decision Systems

Technical University of Catalonia, Barcelona, SPAIN


With the very fast developments in Internet technologies and the emergence of various disruptive technologies, such as IoT and Mobile Computing, we are witnessing how technology is (almost) replacing face to face human interaction. The new user-user interaction and user-system interactions are characterised from being continuous and intensive. Behind such interactions there are Big Data and Big Data Streams being generated, in an endless way, namely, “data never sleeps”. We will discuss some issues on how Big Data processing can shape new generation of intelligent interactive & decision systems, how to interact and make decisions in such new context, where decisions are each time more automated, with less human intervention. Challenges of processing Big Data will be addressed and some real life applications will be used to exemplify some interesting issues and methods. We will conclude the talk with some lessons learned and a discussion on why at present Big Data processing and use is not easy for wide adoption by companies, businesses, institutions and organizations alike.

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