The seminar preliminary program is downloadable here
*Parallel Sessions       #Tutorials require registration
Title: Applications of Signal Detection and Estimation in Radar Systems
Abstract : In our daily life, we are constantly making decisions. Given some hypotheses, a criterion is selected, upon which a decision has to be made. In engineering, when there is a radar signal detection problem, the returned signal is observed and a decision is made as to whether a target (signal) is present or absent. At the receiver, the received signals are corrupted in the medium by some additive noise and by the receiver noise. The receiver does not know which part is signal and which part is noise but must make a decision to discriminate the signal form the noise. The process that the receiver undertakes in selecting a decision rule falls under the theory of signal detection. Assuming that the receiver has made a decision in favor of the true hypothesis but some parameter associated with the signal may not be known. The goal is to estimate those parameters in an optimum fashion. This falls under estimation theory. In practical radar signal detection systems, the problem is to automatically detect a target in thermal noise plus clutter. Clutter is a term applied to any unwanted radar signal from scatterers that are not of interest to the radar user. Since the environment in which the radar operates depends on factors such as weather conditions and the physical location of operation the returned signals are statistically nonstationary with unknown variance at the receiver input. Thus advanced signal processing with adaptive detection techniques are necessary to obtain “good” system performance. We present some of the applications of signal detection and estimation in different radar systems. Some advances and future perspectives in radar systems will be discussed. The impact of such an engineering field on the society, whether civilian or military, and on the security of a country will be mentioned briefly.
Mourad Barkat received his Bachelor’s degree with high honors (Magna Cum Laude), Master’s and Ph.D. degrees from Syracuse University, New York in 1981, 1983 and 1987 respectively. He has over 30 years of international experience in teaching and research at Syracuse University, New York, USA, State University of New York (SUNY) at Stony Brook, USA, University of Constantine, Algeria, American University of Sharjah, United Arab Emirates, and King Saud University, Saudi Arabia. Dr. Barkat has authored and co-authored over 160 journal/conference papers, and he is the author of the book “Signal Detection and Estimation” Second Edition, Artech House: Massachusetts, USA, 2007, a textbook well adopted by graduate schools worldwide. Dr. Barkat is a member of both Tau Beta Pi and Etta Kappa Nu engineering honor societies and a recipient to many prestigious international awards. Dr. Barkat is a Fellow of IEEE and a certified ABET expert for Engineering Programs Accreditation.
Title: Passive Radar Overview
Abstract : There has been a growing interest in passive sensing that exploits radio frequency (RF) wireless communication and broadcast signals as illuminators to detect, locate, and track objects of interest. Such passive RF sensing capabilities resemble radar functions but exceed the scope of standard radar operations. A typical radar is an active RF sensing system that requires a dedicated transmitter. In contrast, a passive radar hitchhikes existing wireless communication and broadcast sources, which are referred to as illuminators of opportunity (IOs), to probe the surveillance area. Specifically, many IOs are available for passive sensing, from analog FM radio and TV sources to digital sources such as cellular, digital audio/video broadcasting (DAB/DVB), GNSS, WiFi, and WiMAX signals. Passive radar enjoys a number of advantages over its active counterpart. A conventional active radar system usually has a single transmitter, whereas a passive system can simultaneously access several IOs and obtain multiple views of the surveillance area from different perspectives. Passive radar is also far more economical than its active counterpart since there is no transmitter related cost (construction, deployment and operation). Recent interest in passive radar is further driven by spectrum scarcity and a growing pressure from the wireless sector to release government-held spectrum, including spectrum allocated to active sensing, in order to boost the economy. Nevertheless, there are technical and non-technical issues that need to be addressed to fully realize the potential of passive radar. One urgent research direction is to develop a systematic signal processing framework specifically tailored for passive radar. Another issue is the low range resolution in radar imaging and ground clutter suppression. IO waveforms have a narrow signal bandwidth (typically from several MHz to tens MHz) as compared to that of nominal active radar systems (from hundreds MHz to a few GHz); hence passive radars suffer from a low range resolution which leads to undesirable performance in various applications. This talk is aimed at providing a comprehensive discussion on passive radar, including potential solutions to the issue discussed earlier, along with examples of recently fielded systems and measurement campaigns.
Braham Himed received his Engineer Degree in electrical engineering from Ecole Nationale Polytechnique of Algiers in 1984, and his M.S. and Ph.D. degrees both in electrical engineering, from Syracuse University, Syracuse, NY, in 1987 and 1990, respectively. Dr. Himed is a Technical Advisor with the Air Force Research Laboratory, Sensors Directorate, RF Technology Branch, in Dayton Ohio, where he is involved with several aspects of radar developments. His research interests include detection, estimation, multichannel adaptive signal processing, waveform diversity, design, and optimization, distributed active/passive radar, and over the horizon radar. Dr. Himed is the recipient of the 2001 IEEE region I award for his work on bistatic radar systems, algorithm development, and phenomenology. He is a Fellow of the IEEE and the Chair of the IEEE AES Radar Systems Panel. He is the recipient of the 2012 IEEE Warren White award for excellence in radar engineering. Dr. Himed is also a Fellow of AFRL (Class of 2013).
Title: Detection of covert communications over ununtrusted channels
Abstract : The possibility of covert channels and information hiding (steganography) within other pieces of information is becoming increasingly important in many applications such counter-terrorism, undetectable communications in battle fields etc. Covert channels and/or undetectable information hiding could be created in apparently innocuous phone calls and in video transmissions such as Skype calls over the net. Although, steganography can help address these problems to some an extent yet the technology often fails since it is based on camouflaging data as detectable noise by slightly altering digital data (audio/image/video). Any alteration may raise suspicion thus making hidden message discernable by simply computing its corresponding noise level. Adaptive steganography where the sender selects the location of data (pixels for an image) that will carry the message bits can be an attractive solution. This principle is similar to the known “writing on wet paper” metaphor. This metaphor can be explained as follows: suppose that an image is exposed to rain and that the sender can send a message by slightly modifying the dry spots of the cover image (but not the wet ones) to obtain a stego image. After transmission process, the stego image will drys out thus making the recipient incapable of knowing which pixels were used to hide information. This concept is useful since it allows the sender to have complete control/freedom to choose the pixels that will carry information and as such the sender may be able to formulate his/her rule of pixel selection that is not available to recipients and attackers thus leading to a much increased security than existing steganographic algorithms. So far the “writing on wet paper” is only a concept and has not been mathematically proven nor statistically analysed in terms of known performance metrics. Any digital object, such as image, video, sound, text document, can be used as a message carrier. Among all, digital video has advantages as a steganographic message carrier because motion can be a very useful means for carrying and hiding communications. In addition, the escalation of number of internet users, the advancements in networking infrastructures and improvements in social networking facilities, video streams have become the fastest growing traffic on the Internet and it is believed that currently video occupies over a quarter of internet traffic. As a result, the importance of video steganalysis is fast becoming an important application especially for the detection of clandestine and unhelpful communication. One of the most distinctive features of this seminar, Professor Bouridane will cover covers a number of data hiding tools and methods and their deployment in security problems including recent advances in perceptual hashing and digital hiding and their detection from digital multimedia data over unsecure channels such as internet.
Professor Bouridane has more than 25 years of experience in image processing and computer vision including information security, forensic and homeland security applications. He received an “Ingenieur d’Etat” degree in electronics from “Ecole Nationale Polytechnique” of Algiers (ENPA), Algeria, in 1982, an M.Phil. degree in electrical engineering (VLSI design for signal processing) from the University of Newcastle-Upon-Tyne, U.K., in 1988, and an Ph.D. degree in Computer Vision from the University of Nottingham, U.K., in 1992. From 1992 to 1994, he worked as a Research Developer in telesurveillance and access control applications. In 1994, he joined Queen’s University Belfast, Belfast, U.K., initially as Lecturer in computer architecture and image processing and later on he was promoted to Reader in Computer Science. In 2009 he was appointed Professor on Information Security and Head of the Computer and Electronic Security Systems Lab. At Northumbria University at Newcastle . Professor Bouridane received the outstanding research award from the European Center for Secure Information and Systems for research contributions in the area of Secure Information Security (2006). He was Visiting Professor at University of Nancy (France): 2006 – 2008 and University of Metz, France): 2011-2013 and 2015-2016 and 2014. He recently joined Northumbria University to take up a chair in Image Engineering and Security. Professor Bouridane has published more than 300 journal and conference papers. He is Senior member of IEEE.
Title: Quantum Technologies: the Second Quantum Revolution
Abstract : Quantum information technology is an interdisciplinary field of research which brings together quantum physics, photonics, electronics, nanotechnology, computer science, and information theory. Quantum information technology breaks limitations of conventional information transfer, cryptography and computation by using quantum superposition or entanglement as resources for information processing. These emerging technologies, at their core, all require reliable quantum devices, such single photon source, single photon detector, and quantum gates. Here, I will review this research field by covering multiple topics: quantum key distribution, secret sharing, detectable Byzantine agreement, clock synchronization, and reduction of communication complexity, and quantum computing.
Mohamed Bourennane is a professor in quantum information and quantum optics at the physics department, Stockholm University (SU). He is an elected member of the Royal Swedish Academy of Sciences. He was obtained his PhD at the Royal institute of technology (KTH), Stockholm, Sweden. He was researcher in the faculty of physics, Ludwig Maximilians-University, Munich, and at Max Planck Institute for quantum optics (MPQ), Garching, Germany. He has hold junior and senior research positions financed by the Swedish Research Council. He is the research leader of several research projects financed by Swedish Research Council, Knut and Alice Wallenberg Foundation, and European Union.
Title: Shaping Smart Sustainable City Model
Abstract : The Fourth Industrial Revolution is shaping around new developments in artificial intelligence, robotics, nanotechnology, 3D printing and biotechnology, which will lay the foundation for a revolution more comprehensive and all-encompassing than anything we have ever seen. A cornerstone of this revolution are the Internet of Things (IoT), Cloud and 5G-based smart systems, which will help tackle problems ranging from supply chain management to climate change. This talk will shed the light on the aforementioned IoT based concepts and will show case Synchromedia CFI’s “Smart ÉTS Residence” project aimed to build a smart edge network for sustainable smart community service. Evolving from the smart edge is naturally next step to unlock vast innovations in a multitude of new applications. Additionally, this testbed is connected to newly acquired Telco datacenters in our ongoing projects with industry, to complete an ecosystem which holistically serves research on a variety of fundamental issues on big data analytics, machine learning, prediction, signal processing, and life-cycle orchestration.
Dr. Mohamed Cheriet received his B.Sc. at USTHB in 1984, and his M.Sc. and Ph.D. degrees in Computer Science from the University of Pierre & Marie Curie (Paris VI) in 1985 and 1988 respectively. Since 1992, he has been a professor in the Automation Engineering department at the École de Technologie Supérieure (University of Quebec), Montreal, and was appointed full Professor there in 1998. Prof. Cheriet is the founder and director of Synchromedia which targets multimedia communication in telepresence applications. Dr. Cheriet research has extensive experience in cloud computing and network virtualization and softwarisation. In addition, Dr. Cheriet is an expert in Computational Intelligence, Pattern Recognition, Machine Learning, and Perception. Dr. Cheriet has published more than 350 technical papers in the field. He serves on the editorial boards of several renowned journals and international conferences. As Tier 1 Canada Research Chair on Sustainable and Smart Eco-Cloud, he leads the establishment of the first smart university campus in Canada, created as a hub for innovation and productivity at Montreal. Dr. Cheriet is a Fellow of IAPR, the recipient of the 2016 IEEE J.M. Ham Outstanding Engineering Educator Award, and of the 2012 Queen Elizabeth II Diamond Jubilee Medal. He is a senior member of the IEEE, the founder and former Chair of the IEEE Montreal Chapter of Computational Intelligent Systems (CIS), and a Steering Committee Member of the IEEE Green ICT Initiative.
Title: La Vision Industrielle : Une Technologie -clé de l'Industrie 4.0
Abstract : Dans un essor considérable, l'informatique ubiquitaire ne cesse de s'introduire dans des pans entiers de la vie sociale et économique de l'homme moderne. Ayant reconnu les prémisses et les challenges d'un « nouveau monde », mais aussi l'immense opportunité qui s'offre à l'innovation, au progrès et à la croissance, les pays industrialisés s'affairent au développement de stratégies idoines pour faire face aux changements drainés par ces technologies numériques en pleine effervescence. L'Allemagne élabore actuellement le concept de l'Industrie 4.0. Il consiste en l'exploitation intelligente des instances actives dans la production industrielle. Le concept se base sur une intégration dense des technologies de pointe à tous les niveaux de la chaîne de valeur ainsi que leur connexion à des réseaux de communication permettant le traitement et l'échange quasi instantané des informations. Ainsi seront optimisées les ressources nécessaires à la production et augmenté le degré de compétitivité. Au coeur de l'Industrie 4.0 se situe l'usine intelligente (smart factory). Dans l'industrie d'emballage à titre d'exemple, le travail jusque-là manuel est désormais effectué par des robots intégrés dans des chaînes de production. Ils sont équipés de systèmes de vision leur permettant de reconnaître les objets qu'ils auront à manipuler. Chaque produit est saisi individuellement, analysé compte tenu des spécifications prédéfinies et traité en conséquence. Les informations recueillies sur la quantité et la qualité des produits sont collectées continuellement et communiquées vers les instances supervisant les processus de production, si nécessaire en temps réel. De l'efficience des systèmes de vision, de leur fiabilité et leur robustesse dans l'environnement industriel, ainsi que de leur flexibilité à s'adapter aux changements afférents et aux fluctuations du marché dépendra la compétitivité, voire même l'existence de l'entreprise. Seront présentées diverses applications de la vision associée à la robotique industrielle émanant de différents domaines tels que l'industrie agro-alimentaire, pharmaceutique etc.
Abdelmalek Nasraoui received a Baccalauréat Technique Mathématiques at Lycée Technique Annaba (Algeria), awarded by Algerian President Houari Boumediène (1973), a B.Sc. in Mathematics / Physics (1976) from the University of Clausthal in Germany, a M.Sc. in Computer Science (1982) and a Ph.D. (magna cum laude, 1987) in Natural Sciences from the University of Braunschweig (Germany). In 1983 he joined the Institute for Materials and Solid State Physics at the Nuclear Center of Research in Karlsruhe (Germany) as a scientist (1983-1986). In 1984, he significantly developed, in cooperation with Gerhard Schubert GmbH, a manufacturer of packaging machines, the first vision system in the world applied to packaging robotics, exhibited 1985 at the International Fair of Hanover (Germany). In 1986 he joined Gerhard Schubert GmbH in Crailsheim (Germany) to create and lead the Vision Department. Dr Nasraoui has over 30 years direct experience of leadership in industrial projects of factory automation, involving highly sophisticated robot lines installed worldwide in various industries. He is inventor of vision systems, author of many papers and served as keynote speaker and chairman on international conferences. Dr Nasraoui is member of various scientific program committees. He is fluent in German, English, French and Arabic. His native language is Thamazight. Dr Nasraoui is internationally acknowledged expert in machine vision and industrial robotics.
Title: Side-Channel Attack
Abstract : The robustness of modern cryptographic algorithms has encouraged cryptanalysts to develop new methods of attacks based on the physical effects induced during the execution of these algorithms, especially in the case of embedded cryptography. We distinguish several types of Side-Channel Attack: acoustic, fault injections, thermal, temporal, sounding, electromagnetic emanation and electrical consumption. We will concentrate in this tutorial on methods of power analysis.
1) SCA concept: CMOS technology, Problem position, Examples: PUK code, RSA.
2) Classification: TPA, SPA, DPA, CPA, FPA.
3) Modeling: Spectral, stochastic and template analysis.
4) Countermeasures, masking techniques for AES and ECC.
5) Security models.
Mokrane Abdallah is professor since September 2004. PHD from the University Paris-Sud in 1993 and HDR (Habilitation to conduct research) from the university Paris-Nord in 2003. Areas of expertise: Arithmetic, algebraic geometry and cryptography. Head of the mathematics master (2005-2014) and Big Data Master (from 2015). Project manager at the Ministry of Higher Education and Research (2006-2007).
Title: Bornes Inférieures de l’Erreur Quadratique Moyenne : De la Théorie à la Pratique
Abstract : Un des objectifs du traitement du signal est l’extraction d’informations pertinentes cachées dans un jeu d’observations/de mesures bruitées. Ces informations ou paramètres d’intérêts peuvent être : une fréquence Doppler, une phase, une direction d’arrivée, etc. La théorie de l’estimation offre un cadre formel pour résoudre ce type de problèmes. Plus particulièrement, en estimation dite paramétrique, on se fixe un modèle d’observation dépendant des paramètres d’intérêts et, à partir d’une règle d’estimation basée sur ce modèle, on estime les paramètres d’intérêt. La règle d’estimation, qui conditionne les performances d’estimation, constitue la pierre angulaire du traitement du signal moderne et l’Erreur Quadratique Moyenne (EQM) est son indicateur de performance. Malheureusement, l'évaluation analytique exacte de l’EQM est souvent impossible à faire, sauf pour des cas très particuliers.
Une alternative consiste à trouver une limite inférieure de la variance (minimale) qu’un estimateur non biaisé peut espérer atteindre, et ce pour un modèle paramétrique donné. La connaissance de cette limite de performance est d'une grande importance car, non seulement elle permet de porter un jugement sur les performances d’un estimateur mais elle permet également i) de savoir si, à partir d'un estimateur particulier, une amélioration est possible, ii) de savoir si dans un contexte donné, il est possible de respecter certaines exigences fixées par un cahier des charges, et enfin iii) de concevoir/ dimensionner un système afin d'obtenir la meilleure précision possible.
Ce tutoriel fournit un aperçu complet de l'état-de-l’art sur les bornes inférieures de l’EQM. Les fondements théoriques, des exemples de dérivations et de calculs de ces bornes ainsi que des études de dimensionnement/conception de systèmes de capteurs seront présentés. Un accent sera mis sur les applications dans le domaine du radar et du traitement d’antennes.
Karim Abed-Meraim was born in 1967. He received the State Engineering Degree from Ecole Polytechnique, Paris, France, in 1990, the State Engineering Degree from Ecole Nationale Supérieure des Télécommunications (ENST), Paris, France, in 1992, the M.Sc. degree from Paris XI University, Orsay, France, in 1992 and the Ph.D. degree from the ENST in 1995 (in the field of Signal Processing and communications). From 1995 to 1998, he took a position as a research fellow at the Electrical Engineering Department of the University of Melbourne where he worked on research project related to "Blind System Identification for Wireless Communications" and "Array Processing for Communications”. From 1998 to 2012 he has been Assistant then Associate Professor at the Signal and Image Processing Department of Telecom-ParisTech. His research interests are related to statistical signal processing with application to communications, system identification, adaptive filtering and tracking, radar and array processing, biomedical signal processing and statistical performance analysis. In September 2012 he joined the University of Orléans (PRISME Lab.) as a full Professor. He has been also a visiting scholar at the Centre of Wireless Communications (National University of Singapore) in 1999, at the EEE Department of Nanyang Technological University (Singapore) in 2001, at Telecom Malaysia Research and Development Centre in 2004, at the School of Engineering and Mathematics of Edith Cowan University (Perth, Australia) in 2004, at the EEE Department of the National University of Singapore in 2006, at Sharjah University (UAE) in 2008-2009 and at King Abdullah University of Science and Technology (KSA) in 2013 and 2014. He is the author of about 400 scientific publications including book chapters, international journal and conference papers and patents.