Keynote Speakers


Professor Fatos Xhafa, PhD,

Department of Computer Science,

Polytechnic University of Catalonia in Barcelona, Spain

Title: New Generation of Smart Learning Systems and Learning Analytics from Big Data Processing and Mining

Abstract: In this talk we will address and discuss current and new trends and challenges arising in designing and building Smart Learning Systems from Big Data Processing and Mining. Such trends include learning analytics, A3 paradigm (Anywhere, Anytime, Awareness), emotional learning and advanced learner’s personalisation to maximise learning experiences and motivation, among others.

The talk will focus on massive data processing and mining techniques for Big Data from learning work spaces under efficiency and scalability requirements. We will analyse and discuss techniques related to software patterns for massive data processing, and identify various issues arising in mining large data sets. We will exemplify the discussion by real life examples, large learning data sets and case studies from a real Virtual Campus. We will conclude with some lessons learned and challenges faced ahead in the research and development of New Generation of Smart Learning Systems.

Biography: Professor Fatos Xhafa graduated in Mathematics from the Faculty of Sciences of University of Tirana, Albania in 1988. He 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) in 2009-2010 and Research Associate at Drexel University, Philadelphia (USA) in 2004/2005.

Professor Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters and edited books and proceedings in the field (please visit for a comprehensive publication list). He has been awarded teaching and research merits by Spanish Ministry of Science and Education, by IEEE conference and received best paper awards.

Professor Xhafa has an extensive editorial and advisory 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 the editorial boards of several International Journals and Guest Editors of Special Issues. He is Editor in Chief of the Elsevier Book Series “Intelligent Data-Centric Systems” and Editor in Chief of the Springer book series “Lectures Notes in Data Engineering and Communication Technologies”.

He 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 trustworthy computing, machine learning and data mining, among others. To contact Professor Fatos, email him at Further information can be found at




Professor Dr. Adnan Yazici

Department of Computer Engineering

Middle East Technical University, Ankara- Turkey

Title: Wireless Multimedia Sensor Networks for Smart City Solutions

Abstract: Smart solutions are applications of Information Technologies & Computers (IT&C) to municipal services and infrastructure to make them smarter. More specifically, a smart city should have a basic infrastructure for safety and security of each citizen. One example of such infrastructures is city-wide intelligent video surveillance and sensor network.

Recent advances in information and sensor technologies have made it possible to produce large numbers of tiny battery-powered nodes with capability of communicating multimedia data over wireless links. Networks comprised of such nodes with sensing capability (e.g., seismic, humidity, pressure, temperature, acoustic, PIR) are called Wireless Sensor Networks (WSN). Especially recently sensor nodes are beginning to have higher computational power and storage capacity as well as better battery power, compared to early nodes. With these developments, multimedia content is now being carried before/after being processed using machine learning techniques, in addition to the simple digital data transfer performed by primitive nodes. A WSN with multimedia processing and transfer capabilities is called Wireless Multimedia Sensor Network (WMSN).

Smart city infrastructure enables surveillance; smart home, smart healthcare, smart environmental monitoring, security and safety, and fire detection are only a few of the possible applications. In these new generation WMSNs, due to their resource-constrained nature, there has always been a trade-off between accuracy and energy-efficiency for surveillance applications. For this reason, our recent research has focused on developing a cost-effective and feasible solution by achieving higher accuracy in detecting objects and events for safety and security of people in cities as a smart city solution. In this invited talk I will present our approach for smart cities and discuss how the above mentioned WMSNs can be used for this purpose.

Biography: Professor Dr. Adnan Yazici is a full professor and the Chair of the Department of Computer Engineering at Middle East Technical University, Ankara, Turkey. He received his PhD in Computer Science from the Department of EECS at Tulane University, New Orleans, in 1991. He was a visiting professor at Tulane University between 1998 and 2000.

His current research interests include intelligent database systems, multimedia and video databases and information retrieval, wireless multimedia sensor networks, data science, and fuzzy database modeling.

He received the IBM Faculty Award in 2011 and the Parlar Foundation’s Young Investigator Award in 2001. He has published more than 200 international technical papers and co-authored/edited three books, which are entitled “Fuzzy Logic in Its 50th Year: New Developments, Directions and Challenges”, “Fuzzy Database Modeling and Uncertainty Approaches for Spatial Data Modeling” and “Processing: a Decision Support Perspective” (by Springer).

Professor Dr. Yazici was a Conference Co-Chair of the 23rd IEEE International Conference on Data Engineering (ICDE-2007), the 38th Very Large Data Bases (VLDB 2012) and the 23rd IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015). He was also Program Co-Chair of the Flexible Query Answering Systems Conference (FQAS 2011) and Program Committee Chair of the 18th Int. Symposium of Computer and Information Sciences (ISCIS 2003). He is a member of IEEE Computational Intelligence Society (CIS) Fuzzy Systems Technical Committee (FSTC) and an Associate Editor of IEEE Trans. on Fuzzy Systems. He is also the director of the Multimedia Database Lab. at METU.