Speaker 2019

Keynote Speaker I


Prof. Pedro Larrañaga

Technical University of Madrid, Spain

Talk Title: Bayesian Networks: Challenging Applications

Abstarct: The recent use of Bayesian networks in challenging real world applications will be presented in three different areas: neuroscience, industry4.0 and sport analytics.

Neuroscience applications will cover problems at different scales: from neuroanatomy questions, such as interneuron classification and spine clustering, to diagnosis of neurodegenerative Parkinson and Alzheimer diseases. The applications in industry4.0 will be related to the automatic inspection of a laser process and the discovery of fingerprints in a real machinery performing servo-motor movements. Finally, the scouting problem and the football as a science will be introduced as representatives of sport analytics.

From the machine learning point of view, several techniques, such as probabilistic clustering, multi-view clustering, anomaly detection, supervised classification, multi-label classification and multi-output regression, in both static and dynamic scenarios will be used for providing solutions to the previous real world applications.


Pedro Larrañaga is Full Professor in Computer Science and Artificial Intelligence at the Technical University of Madrid (UPM) since 2007. He received the MSc degree in mathematics (statistics) from the University of Valladolid and the PhD degree in computer science from the University of the Basque Country (“excellence award”). Before moving to UPM, his academic career has been developed at the University of the Basque Country (UPV-EHU) at several faculty ranks: Assistant Professor (1985-1998), Associate Professor (1998-2004) and Full Professor (2004-2007). He earned the habilitation qualification for Full Professor in 2003. He co-leads the Computational Intelligence Group (CIG) since its foundation in 2008.

His research interests are primarily in the areas of probabilistic graphical models, metaheuristics for optimization, data mining, classification models, and real applications, like biomedicine, bioinformatics neuroscience, and industry4.0. He has published more than 150 papers in impact factor journals and has supervised more than 20 PhD theses. He is ECCAI felow since 2012 and he has been awared the 2013 Spanish National Prize in Computer Science.

Keynote Speaker II


Dr. Tamer ElBatt

American University in Cairo, Egypt

Talk Title: Edge Computing: A Key Enabler for 5G and IoT 

Abstract: Edge Computing brings cloud computing-like services to the network edge for a variety of benefits. In this talk, we present our recent research activities and vision and touch upon sample topics on the key role of Edge Computing in content caching in 5G and big data analytics for the Internet of Things (IoT).

Towards this objective, we first present our recent work on the fundamental limits of decentralized coded content delivery in Fog Radio Access Networks (F-RANs). More specifically, we introduce a general information-theoretic model for a 5G network with cache-aided Kt edge nodes and Kr wireless users. Our main result is characterizing in closed-form the normalized delivery time (NDT) performance metric for a 2 x Kr F-RAN.

In the second part of the talk, we shift gears to IoT where we make the case for the major role of edge analytics, complementing cloud analytics, in handling IoT big data. This vision promises to enable large-scale IoT use cases with massive data, e.g., Industrial IoT (IIoT), real-time decisions, e.g., autonomous driving, and/or handling private (sensitive) data, e.g., healthcare. We shed light on the major research challenges and a roadmap in this ripe area of research with great promise.

Bio:  Tamer ElBatt received the B.S. and M.S. degrees in EECE from Cairo University, Egypt in 1993 and 1996, respectively, and the Ph.D. degree in Electrical and Computer Engineering from the University of Maryland, College Park, MD, USA in 2000. From 2000 to 2009 he was with major U.S. industry R&D labs, e.g., HRL Laboratories, LLC, Malibu, CA, USA and Lockheed Martin ATC, Palo Alto, CA, USA, at various positions. From 2009 to 2017, he served at the EECE Dept., Faculty of Engineering, Cairo University, as an Assistant Professor and later as an Associate Professor, currently on leave. He also held a joint appointment with Nile University, Egypt from 2009 to 2017 and has served as the Director of the Wireless Intelligent Networks Center (WINC) from 2012 to 2017. In July 2017, he joined the Dept. of CSE at the American University in Cairo as an Associate Professor. Dr. ElBatt research has been supported by the U.S. DARPA, ITIDA, Qatar QNRF, EU FP7, H2020, General Motors, Microsoft, Google and Vodafone Egypt Foundation and is currently being supported by ITIDA. He has published more than 130 papers in prestigious journals and international conferences. Dr. ElBatt holds seven issued U.S. patents and one WIPO patent.

Dr. ElBatt is a Senior Member of the IEEE and has served on the TPC of numerous IEEE and ACM conferences. He is serving as the publicity co-chair of IEEE VTC-Spring 2020, has served as the Demos Co-Chair of ACM Mobicom 2013 and the Publications Co-Chair of IEEE Globecom 2012 and EAI Mobiquitous 2014. Dr. ElBatt currently serves on the Editorial Board of IEEE Transactions on Cognitive Communications and Networking and Wiley International Journal of Satellite Communications and Networking and has previously served on the Editorial Board of IEEE Transactions on Mobile Computing. Dr. ElBatt has also served on the United States NSF and Fulbright review panels. Dr. ElBatt was a Visiting Professor at the Dept. of Electronics, Politecnico di Torino, Italy in Aug. 2010, Faculty of Engineering and Natural Sciences, Sabanci University, Turkey in Aug. 2013 and the Dept. of Information Engineering, University of Padova, Italy in Aug. 2015. Dr. ElBatt is the recipient of the prestigious Google Faculty Research Award in 2011, the 2012 Cairo University Incentive Award in Engineering Sciences and the 2014 Egypt’s State Incentive Award in Engineering Sciences. His research interests lie in the broad areas of performance analysis, design and optimization of wireless and mobile networks

Keynote Speaker III


Prof. Massimo Marchiori (UNIPD), Technical Director (EISMD) 

University of Padua, Italy;  European Center for Science, Media and Democracy, Belgium 

Talk TitleThe  Budget Smart World: Financial Technology meets Society

Abstract: The rapid progress in sensor network equipment, together with faster data processing, has recently allowed for huge advances in developing smart world technologies and consequent smart data analysis. However, all these advances have not progressed equally well as far as common applications are concerned: in other words, we have beautiful technological solutions that society still hasn't adopted on a large scale.

In this keynote we will explore the problems and causes of this situation, introduce variables like Financial Technology, and show how other solutions are possible, where budget constraints are also in order. We will show how these solutions can help to actually make a real impact on society, and show several success stories concerning smart world networks and data analysis, opening up a wide realm of new opportunities for private entities, companies, and public organizations.

Bio: Massimo Marchiori is currently Professor at the University of Padua (Italy) and Technical Director of the European Institute for Science, Media and Democracy (Belgium). Working at MIT (USA) he led the development of several world standards, like P3P (web privacy), XQuery (semi-structured information) and OWL (web reasoning).

Among others, he created Hypersearch (Google's forerunner), Volunia (the next-generation social search engine), Negapedia (the negative version of Wikipedia).
He works in many multidisciplinary fields, also in cooperation with several companies, focusing on new technologies that can impact our society.
He won a variety of awards, including the IBM research award, the Lifetime Membership Award of the Oxford Society, the Microsoft Data Science Award, the MIT Technology Review TR35 award given to the world best innovators.