Keynote Speakers

Prof. Fabien Gandon  


Head of the Wimmics research team (Inria, UCA, CNRS, I3S), Vice Head of Science for Inria Sophia Antipolis, W3C Representative for Inria and Director of the joint laboratory Qwant-Inria.

Leader of the Wimmics research team at Inria in the Research Center of Sophia-Antipolis and I3S CNRS, University Côte d’Azur, Nice - Sophia Antipolis, France.

Keynote title: Web of Data and Semantic Web: Linking Data and Their Schemas around the World

Abstract: The Web is now a space where three billions of users interact with billions of pages and numerous software. It became a collaborative space for natural and artificial intelligence raising the problem of supporting these worldwide interactions[1]. This talk will provide an overview of the researches we conduct in the Wimmics Laboratory [2] that studies models and methods to bridge formal semantics and social semantics on the Web [3]. In our work we follow a multidisciplinary approach [4] to analyse and model these Web applications, their communities of users and their interactions. We provide algorithms to compute these models from traces on the Web including, knowledge extraction from text, semantic social network analysis, argumentation theory, emotion detection and sentiment analysis and multi-agent simulations. We then formalize and reason on these models using graphs-based knowledge representation from the semantic Web to propose new analysis tools and indicators, and support new functionalities and better management. 

Biography: Fabien’s PhD in 2002 pioneered the joint use of distributed artificial intelligence (AI) and semantic Web to manage a variety of data sources and users above a Web architecture. Then, as a research project leader at Carnegie Mellon University (USA), he proposed an AI method to enforce privacy preferences in querying and reasoning about personal data. In 2004, recruited as a researcher at Inria, he started to study models and algorithms to integrate social media and knowledge based AI systems on the Web and support humans in the loop. In 2012 he became the representative of Inria at W3C and founded Wimmics, a joint research team of 50 persons (UCA, Inria, CNRS, I3S) including 10 full time researchers and professors on bridging social and formal semantics on the Web with AI methods. In 2014, Fabien became a research director (DR). Fabien successfully supervised 10 PhD, chaired major international conferences (e.g. WWW 2012 and 2018, ESWC 2015) and authored 19 journal papers, 124 conference and workshop papers, 2 books and 9 book chapters. In 2015 Fabienalso initiated a series of bilingual MOOCs on the national FUN platform on semantic Web and linked data. In 2017 Fabien established and became the director of the joint research laboratory QWANT-Inria and he also became responsible for the research convention he had proposed between the Ministry of Culture and Inria. 


Dr. Douglas N. Zuckerman

IEEE Life Fellow

IEEE Communications Society President (2008-09)IEEE Board of Directors (2012-13)

Keynote titleFuture Technologies and Trends Enabled by IEEE Future Directions

Abstract: This talk will give an overview of IEEE efforts aimed at enabling advances in new technologies for the benefit of humanity.  The focal point for this is IEEE Future Directions as well as its important flagship event called, “IEEE Technology Time Machine (TTM).”  Future Directions encourages advancements in important, new technologies such as augmented and virtual reality, agriculture, neuroscience, robotics, technology entrepreneurism, and more.  In addition to sponsoring new technology initiatives, and too provide an interactive forum for networking and discussion of the most important new technologies, Future Directions hosts a flagship conference, every 1-2 years, called, “IEEE Technology Time Machine (TTM)” conference. The most recent one was held October 2018 in San Diego, California, USA. TTM 2018 offered attendees from research and industry innovative insights from top executives and pioneers regarding the impact of future technologies on business and industry, society and everyday life, ethics, and policy.

Technology sessions at TTM 2018 included: Neuroscience and Brain, Agricultural Food Systems, Mixed Reality, and Far Futures.  It also had a Distinguished Experts Panel to close the conference. Through interactive participation and stimulating panels with invited speakers, TTM 2018 provided critical information on technological advances to help guide current and future decisions on use and implementation of these technologies. Speakers and attendees networked and learned from each other through synergies across technologies in industry, academia, and government. This talk will report the key technology trends resulting from TTM 2018 as well as those related to the IEEE Future Directions initiatives.  It will also indicate how researchers may participate in such activities, including proposing new initiatives.

Biography: An active IEEE volunteer for more than 30 years, Doug Zuckerman is a past IEEE Division III (Communications Technology) Director, was 2008-2009 President of the IEEE Communications Society, and previously held leadership positions in conferences, publications and membership development. He received his B.S., M.S. and Eng.Sc.D degrees from Columbia University, USA, and is an IEEE Life Fellow. His professional experience, mainly at Bell Labs and Telcordia Technologies, USA, spans the operations, management and engineering of emerging communications technologies, networks and applications. His work heavily influenced early standards for management of telecommunications networks. Presently semi-retired, he is still active in standards as a representative to the OpenFog Consortium as a board member. He is also a consulting employee for Perspecta Labs, USA. He currently serves on the IEEE Future Directions Committee and has served on the IEEE Communications Society’s Board of Governors.


Prof. Fabien FERRERO 

Fabien Ferrero

Polytech' Nice Sophia, France

Keynote title: Fostering Innovation in Education through Smart Campus IoT Contest

Abstract: The rise of the connected objects known as the “Internet of Things” (IoT) is annonced to be a revolution for public service, industry and citizen. Student campus is a perfect environment to develop innovative system and application services. During the Smart Campus campaign, student and lecturers will have opportunity to develop ground-breaking ideas,and to put to a real-world test, in their living lab for digital transformation on the Da Nang campuses. Projects are based on a low-power IoT plateform based on LoRa communication technology. This presentation will detail the key points for IoT application and show exemples of Smart Campus projects. 

Biography: He is Professor at Université Côte d'Azur (UCA). He is doing his research at Laboratoire d'Electronique, Antennes et Télécommunications. He is teaching electronics and telecommunication at Polytech'Nice Sophia. With Philippe Ratakjzak from Orange, he is co-director of the CREMANT, a joint lab between Orange, Université Nice Sophia Antipolis and CNRS. His current studies concerned design and measurement of multi-band, miniature and reconfigurable antennas for IoT and cellular applications. He is co-author of 53 journal papers, 80 international conference papers, 10 national conference papers and 3 patents.

Prof. João Manuel Portela da Gama


University of Porto, Portugal

Keynote title: Data Mining for the XXI Century: Real-Time Data Mining

Abstract: Nowadays, there are applications in which the data are modelled best not as persistent tables, but rather as transient data streams. In this keynote, we discuss the limitations of current machine learning and data mining algorithms. We discuss the fundamental issues in learning in dynamic environments like learning decision models that evolve over time, learning and forgetting, concept drift and change detection. Data streams are characterized by huge amounts of data that introduce new constraints in the design of learning algorithms: limited computational resources in terms of memory, processing time and CPU power. In this talk, we present some illustrative algorithms designed to taking these constrains into account. We identify the main issues and current challenges that emerge in learning from data streams, and present open research lines for further developments.

Biography: He was awarded the PhD degree in 2000. Since then he has been a full time academic. For his academic life he has primarily in teaching and research roles. All his research has been developed in University of Porto research labs. From the beginning, in 90’s, he was involved in LIACC, a AI lab involving people from Economics, Engineering, and Sciences. His PhD thesis was developed in this period, under supervision of Prof. Pavel Brazdil. LIACC was a young and ebullient research lab. He benefits from the multidisciplinary environment that promotes critical reasoning and team collaborations. The growth of the lab, led to the separation of the groups. The machine learning group, together with statisticians and operational research groups started a new lab: LIAAD. LIAAD merged with INESC TEC, a big Associate Lab that has strong interactions with industry and business. He is a member of the board of directors of LIAAD group at INESC TEC. Part of his research evolved for solving challenging problems proposed by companies. In all this trajectory, the collaboration with his PhD and Master students was determinant for the publication record, successful projects, organization of events, and friendly environments.


Prof. Patrick Bellot 



Keynote title: The OPC UA Galaxy 

Abstract: OPC Unified Architecture (OPC UA) is a new software for plant automation platforms allowing network programming going from ERP (Enterprise Resource Planning) software to sensors and actuators. OPC UA is managed by the OPC Foundation ( It includes the specifications of several interface mechanisms between OPC UA servers and clients where the security, either at the transport or the message level, has been handled since the beginning of OPC UA. OPC UA security is now recognized by the major security national institution. These mechanisms are cross platforms. The specifications allow object oriented data modelling capacities. That means that an OPC UA server may handle an Address Space where plants machineries types and objects can be represented and that this Address Space can be explored by the OPC UA clients. This allows client programming by types and the use of COTS OPC UA products. OPC UA is scalable because it can provide different profiles with different footprints. It can be implemented on a big PC or on a small sensor card. We will provide an overview of OPC UA specifications which contain much more features and we will discuss the new research tracks for OPC UA that are mainly concerned with IoT.

Biography: Patrick Bellot is a first class professor at Telecom ParisTech, a major engineer school in France, since 1992. He is a member of the LTCI laboratory where he leads the “Cybersecurity for Communication and Networking” team. He spent two years in Vietnam to manage and to implement research at the “Institut de la Francophonie pour l’Informatique” in Hanoi (Vietnam). Before joining Telecom ParisTech, he spent six years in IBM where he was the project leader of the development of AD/Cycle IBM Prolog/2 Program Product. He got a PhD from Paris 6 University and has been awarded Best French Young Researcher in Computer Sciences in 1987. He is a specialist of formal and programming languages. His research topics cover very theoretical matters such as theory of combinators, lambda-calculus and logic. He is now currently developing an IoT middleware with robust security based on OPC-UA machine-to-machine communication protocol for industrial automation.