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Adel M. Alimi

Professor in Electrical Engineering at the University of Sfax, ENIS
Founder and director of the research REGIM-Lab. on intelligent Machines.

How Hybrid Intelligent Approaches can help for Mining Big Data Streams in Smart Cities

Abstract – 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 – 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.

Michael Hinchey

Professor at Irish Software Engineering Research Centre (Lero)


Biography – Michael Gerard Hinchey (born 1969) is an Irish computer scientist and Director at the Irish Software Engineering Research Centre (Lero), a multi-university research centre headquartered at the University of Limerick, Ireland.

Mike Hinchey studied at the University of Limerick as an undergraduate (was the leading student in his graduating year), Oxford University (at Wolfson College) for his MSc and Cambridge University (at St John’s College) for his PhD.

Hinchey has been a promulgator of formal methods throughout his career, especially CSP and the Z notation. He was Director of the NASA Software Engineering Laboratory at NASA Goddard Space Flight Center and is the founding editor-in-chief of the NASA journal Innovations in Systems and Software Engineering, launched in 2005.

He has held many academic positions, both visiting and permanent, at a number of universities including the University of Nebraska, Queen’s University Belfast, New Jersey Institute of Technology, Hiroshima University, the University of Skövde in Sweden and was at Loyola College in Maryland (now Loyola University Maryland), United States, before his current post.

Hinchey is a Member of Academia Europaea, a Fellow of the IET, a Fellow of the IMA, and a Senior Member of the IEEE.[citation needed] He is a Chartered Engineer, Chartered Professional Engineer, Chartered Mathematician and Chartered IT Professional.[citation needed]

As of 2015, Hinchey has been serving as Vice President of IFIP (International Federation for Information Processing) and Chair of its Technical Assembly.

Dr. Laurent Fesquet

TIMA Laboratory, Grenoble INP, Grenoble, France

Event-based processing: a new paradigm for low-power

Today, our digital society exchanges large data flows. The amount of data is incredibly huge and the future promises new data communications between humans and technological equipment such as robots, cars, planes, etc. This is known as the Internet of Things (IoT) and is probably part of the humanity progress. Nevertheless, this data orgy wastes a lot of energy. Indeed, these “communicating things” already consume about 10% of the electrical power produced in the world. Even if there already exist design solutions to enhance the energetic performances of the electronic systems, it appears more relevant to reduce the amount of data to go further. Rather than sampling at a fixed rate, non-uniform and sparse sampling appear as a relevant solution to drastically reduce the amount of useless data produced by the analog-to- digital conversion. Indeed, an excess of data produces more computation, more storage, more communications and also more power consumption. It is time to invent new analog-to digital conversions and sampling processing techniques. Moreover, such sampling techniques produce events that are perfectly compliant with asynchronous circuits, which natively process data on events. The talk will present a set of ideas exploring the event-based approach, covering event-based detection, non-uniform sampling and event-based processing techniques as well.
This can be applied to many smart sensors, IoT platforms or image sensors.

Biography – Laurent Fesquet (IEEE M’99, S’09), received the Ph.D. degree in electrical engineering from Paul Sabatier University, Toulouse, France, in 1997. In 1995, he was a Lecturer in charge of electronics and inertial navigation systems with the French Navy Instruction Center. In 1999, he joined the Grenoble Institute of Technology, Grenoble, France, as an Associate Professor.
Since 2008, he has been Deputy Director of CIME Nanotech, an academic center that supports microelectronic teaching and research activities. His research, initially focused on asynchronous circuit design, has been extended in 2000 to non-uniform sampling techniques in order to enhance the analog-to- digital conversion. Since, he has been general chair in 2009 and program chair in 2011 and 2013 of the Sampling Theory and applications conference (SampTA). He has also been the program chair of the two first editions of the Event-based Control, Communication and Signal Processing conference (EBCCSP). His current research at the TIMA Laboratory today covers asynchronous circuit design, computer-aided design (CAD) for event-based systems and non-uniform signal processing. He is currently an invited professor at EPFL in Switzerland.

Prof. Magdalena Salazar Palma


Biography – Magdalena Salazar-Palma was born in Granada, Spain. She received the MS and PhD degrees in Electrical and Electronic Engineering from Polytechnic University of Madrid, Spain, where she has been Assistant and Associate Professor at the Department of Signals, Systems and RadiocommunicationsSince 2004 she is with the Department of Signal Theory and Communications, Carlos III University of Madrid, Spain, where she is Full Professor, co-director of the Radiofrequency, Electromagnetics, Microwaves and Antennas Research Group (GREMA) and served for three years as Department head.

She has developed her research in a number of areas: electromagnetic field theory; advanced computational and numerical methods for microwave and millimeter wave passive components and antennas analysis and design; advanced network theory, in particular, passive devices, filters and multiplexers theory and design; antenna arrays and smart antennas; novel materials and metamaterials for the implementation of devices and antennas with improved performance (multiband, miniature size, and so on) for the new generation of communication systems; design, simulation, optimization, implementation, and measurement of microwave circuits both in waveguide and integrated (hybrid and monolithic) technologies; millimeter, submillimeter and THz frequency band technologies; radio waves propagation theory; and history of telecommunications.

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Prof. Kukjin Chun

School of Electrical Engineering, Seoul National University

Talk title: “MEMS Technology and Sensors for Automotive Applications”

Biography – Kukjin Chun received the in electronics engineering from Seoul National University in 1977 and the M.S. and Ph.D. degrees in electrical engineering from the University of Michigan in 1981 and 1986, respectively.

He was an Assistant Professor in the Department of Electrical and Computer Engineering at Washington State University from 1986 to 1989. He joined the faculty of Seoul National University in 1989, where he is currrently an Professor in the School of Electrical Engineering.


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Important Dates

Paper Submission: October 29, 2017
Deadline extension : November 10th, 2017
Acceptance Notification: February 15th, 2018
Camera Ready Paper: March 1st, 2018
Early Registration: Up To March 8th, 2018
Pre-Final Program Announcement: April 2nd, 2018
Late Registration: Till April 5th, 2018
Conference dates: May 2-4th, 2018