tutorials speakers

TUTORIALS SPEAKERS Dr. Nabil KHELIFI Germany

Title: How to get your paper published in a scientific journal: Tips from a Springer Editor Abstract: Preparing a research paper for publication in an academic journal is not an easy task and also very competitive. After producing data and generating ideas from your research, how do you write a clear and concise paper that attracts the attention of journal editors? How should you prepare a cover letter? How should you respond to reviewer report? We share here with early career scientists our advice and knowledge on how to effectively write and structure a paper, prepare a cover page, select the appropriate journal, and answer to reviewer comments. Biography: Dr. Nabil Khélifi holds a BSc in Natural Sciences and a MSc in Earth & Environmental Sciences from the University of Sfax in Tunisia (2004). He received fellowships from the global change System for Analysis, Research and Training (START) in 2005 and the German Academic Exchange Service (DAAD) from 2006 to 2010 to continue with his PhD studies in Marine Geosciences at the University of Kiel in Germany. After his PhD in 2010, Dr. Khélifi received a postdoctoral research grant from the German Science Foundation (DFG) to start his self-designed research projects at the GEOMAR Ocean Research Centre in Kiel, Germany on reconstructing past changes in oceanography and climate in the North Atlantic and the Mediterranean Sea using marine sediment samples retrieved by the International Ocean Drilling Program (IODP) and applying foraminiferal and geochemical proxy methods. He presented his research findings at many international conferences and published in highly ranked scientific journals. Dr. Khélifi also received funding from the European Science Foundation (ESF) and some European universities to co-organize two workshops on Pliocene climate in Bordeaux, France (2009) and Bristol, UK (2013). He also received the Swiss Government Excellence Scholarship (SGES) to continue with his research projects at ETH Zurich, Switzerland in early 2014. Although his interest in scientific research remains strong, Dr. Khélifi decided in March 2014 to pursue his career as a Publishing Editor with Springer in Heidelberg, Germany. He is mainly responsible for developing the Springer’s publishing program in the Middle East &North Africa (MENA). The program currently consists of developing 15 peer reviewed journals and publishing about 40 scientific books per year. Dr. Khélifi also helps researchers in MENA countries publish their work by delivering educational seminars for authors, reviewers, and journal editors to help improve publication output and quality. Dr. Khélifi is also a visiting lecturer at the University of Carthage, Tunisia and King Saud University, KSA giving MSc and PhD courses in geo-communication/-presentations and techniques for paper publishing, as well as career development training and professional development/soft skills workshops.

www.setit.rnu.tn/setit2016

Dr. Jolanda G TROMP State University of New York, USA

Title: Systematic VR/AR User-Centered Design and Evaluation Abstract: This tutorial takes the participants through a step-by-step overview of the usercentered engineering process for the development of a user-friendly Virtual Reality (VR) and Augmented Reality (AR) setups. These steps are ‘critical factors’ for user-friendliness and essential to ensure a VR/AR setup with high quality interactivity. Many VR development projects have failed because enduser requirements have not been sufficiently considered. Following completion of this tutorial, participants will exhibit an enhanced awareness of the usercentered engineering process for VR/AR setups. This is an important skill in the rapidly expanding domain of VR/AR development projects. Participants will be able to express comprehensively and logically how the concepts of the usercentered design and evaluation process fit into the software engineering process and they will have learned how to relate it to their present projects. Biography: Jolanda Tromp is a Human-Computer Interaction expert specialized in UX/UI for Virtual Reality R&D with focus on the design and evaluation methodologies for Collaborative Virtual Environments and long-distance collaboration systems, with 20 years’ experience as principal Usability investigator. She currently teaches HumanComputer Interaction Master’s program courses, Human-Computer Interaction Methods, VR/AR UX/UI, Human Factors, Statistics and Digital Humanities in the Computer Science Department at the State University of New York in Oswego, USA. She is highly experienced in virtual teamwork, long-distance and local multi-cultural teamwork and virtual team-management. She holds certificates in design for Gamification (level 3 certification), online marketing Conversion Rate Optimization, Intercultural Communication and SCRUM. She has a bachelor’s degree in Psychology (with honors), thesis Presence and Immersion (1995) from the University of Amsterdam, a degree in Arts from the Rietveld Academy in Amsterdam, the Netherlands, and a PhD in Systematic Usability design and evaluation for Collaborative Virtual Environments (2001) from the University of Nottingham, United Kingdom. She has worked on four large-scale EU funded VR R&D projects and two with British funding. She authored many conference papers and published scientific articles in IEEE on Computer Graphics and Applications, British HCI Journal on Interfaces, Journal Presence: Telepresence and Virtual Environments, International Journal of Human-Computer Studies, British Telecom Technology Journal, Journal of Intelligent Systems, Dutch Royal Telecommunications and Apple User Experience Review, about the methodology of VR design and evaluation. She initiated and co-organized several international VR Design and Evaluation workshops (1996, 1998, 2000, 2003, 2015, 2016). She is author of Code of Good Practice for the Development of VR setups. Her special interests are new technology developments that push the envelope of VR technology, including "serious games", “artistic explorations”, and “social innovation” for 21st century global challenges. She facilitates and mentors Study Abroad programs at several VR labs in the USA and Europe. She initiated and coordinates the VR First lab at SUNY Oswego, NY, United States of Americas.


Dr. Nidhal BOUAYNAYA USA

Title: Multi-Dimensional Signal Clustering and Image Segmentation with NonNegative Matrix Factorization - Application to Brain MRI and Alzheimer Abstract: In this talk, we address the problem of region discovery and robust pixel-level image segmentation by devising a deformable model based on the level set method (LSM) and the probabilistic non-negative matrix factorization (NMF). We describe the use of NMF as a clustering technique that can also find the number of distinct regions in the image. The local distribution of the regions, derived by NMF, is subsequently incorporated in an energy functional, whose minimization leads to the optimal segmentation. We show that the NMF-LSM method is pixel-wise accurate, less sensitive to the initial selection of the contour(s) or initial conditions, more robust to noise and model parameters, and able to detect as small distinct regions as desired. These advantages stem from the fact that the proposed method relies on histogram information instead of intensity values, and does not introduce nuisance model parameters. These properties provide a general approach for automated robust region discovery and segmentation in heterogeneous images. The method is applied to clinical magnetic resonance images (MRI) of the human brain with and without a malignant brain tumor, glioblastoma multiforme, as well as to Multiple Sclerosis and Alzheimer MRIs. Compared to the retrospective radiological diagnoses of patients with non-enhancing grade 2 and 3 oligodendroglioma, the NMF-LSM detects earlier progression times and appears suitable for monitoring tumor response. These contributions are significant because they are the first step towards a continuum of research that is expected to lead to the incorporation of image-derived measures in the clinical care of patients. Ongoing work involves the BRATS Challenge: http://www.braintumorsegmentation.org/, where we applied NMF-LSM to about 120,000 MRI brain images. Biography: Dr. Nidhal Bouaynaya (USA) received the B.S. degree in Electrical and Computer Engineering from the National School of Electrical Engineering, Computer Science and Telecommunications (ENSEA), France, in 2002, the M.S. degree in Electrical and Computer Engineering from the Illinois Institute of Technology, Chicago, IL, in 2002, the M.S. diploma (DEA) in Signal and Image Processing from ENSEA, France, in 2003, the M.S. degree in Mathematics and the Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Chicago, Chicago, IL, in 2007. From August 2007 till August 2013, she was an Assistant then Associate Professor with the Department of Systems Engineering at the University of Arkansas at Little Rock, Little Rock, USA. In September 2013, she joined the Department of Electrical and Computer Engineering at Rowan University, New Jersey, USA, where she is currently an Associate Professor. Her research interests are in signal and image processing, dynamical systems and target tracking, and mathematical biology. Dr. Bouaynaya won the Best Student Paper Award at SPIE Conference on Visual Communication and Image Processing (SPIE VCIP'06) in 2006, the Best Paper Award at the IEEE International Workshop on Genomic Signal Processing and Statistics in 2013 (GENSIPS’13) and the Runner-up Best Paper Award at the IEEE International Conference on Bioinformatics and Biomedicine in 2015 (BIBM'15). She is also the winner of the UALR Faculty Excellence Award in Research in 2013. Her research is funded by the United States National Science Foundation (NSF), United States National Institutes of Health (NIH), New Jersey Department of Transportation (NJ DoT), United States Department of Agriculture (USDA) and the United States Federal Aviation Administration (FAA). Her total research funding during the past three years exceeds $1 million.


Dr. Jean VANDERDONCKT Belgium

Title: Context-aware adaptation of user interfaces Abstract: Efficient adaptation aims at ensuring that a user interface is adapted to a user’s task according to the context of use, since the end user is carrying out a task with one or several computing platforms in a physical environment. This lectures presents key concepts of adaptation: principles that guide it, relevant context information and how to consider it, dimensions and abstraction levels subject to adaptation, as well as, languages, methods and techniques used in this domain. This lecture aims at teaching major aspects to be considered for adaptation of user interfaces in general and concerning the context of use in particular, including the end user (or several of them, as in multi-user interfaces), the platform (or several of them, as in multi-device environments), and the physical environment (or several of them, as in multi-location systems). Biography: Jean Vanderdonckt is Full Professor of Computer Science at Université catholique de Louvain (UCL, Belgium) where he is President of Louvain School of Management Research Institute (ILSM) and Head of the Louvain Interaction Laboratory (LiLab) since its creation in 1998. He holds a master and an aggregation in mathematics, a master in computer science and a PhD in Sciences from University of Namur. He has been Visiting Associate Professor at Stanford University (2000), invited professor at Univ. of Fortaleza (2001), and permanent invited prof. at Polytechnic Univ. of Valencia. He has over 25 years of experience in research and development. Being ACM member since 1987, he is currently ACM and IEEE Senior Member, and member of ACM SIGCHI. He received several awards (e.g., the IBM Belgium Award in Computer Science in 1998, the ACM Service Award for Contributions to ACM in 2004, 2006, and 2010, the Brian Shackel Award in HCI in 2007, the ITEA Research Excellence Award in 2013) and fellowships (e.g., Fulbright-Hayes fellowship in 2000, NATO Advanced Fellowship in 2001). In 2000, he co-created and led BelCHI, the Belgian chapter of ACM SIGCHI (Special Interest Group on Computer-Human Interaction). He is the current tenure holder of the IBM-UCL Chair in Strategic Management of Information Systems. He is currently co-editor-in-chief of Springer HCI Series. His work belongs to the discipline of Human-Computer Interaction (HCI) and relies on a formal model-based approach of user interfaces of an interactive system in order to guarantee its usability with respect to the end user in her context of use. It is intended to develop this interface according to a model-based, step-wise approach supported by a user interface description language. In addition to knowledge coming from software engineering, this work relies on and integrate explicitly knowledge from other disciplines such as: cognitive psychology, neurophysiology, and usability engineering. Jean has over 200 publications in international, peer-reviewed journals and conference proceedings. He participated in several European projects, such as: FP4 Syrecos, FP5 Cameleon, FP6 Similar, FP7 Human, FP7 Selfman, FP7 Serenoa, and ITEA2 UsiXML (User Interface eXtensible Markup Language), involving 22 partners from 7 European countries. He researched with organizations like CAST, Brookhaven Nat. Lab., OASIS, and NIST in the US and with international standardization bodies (e.g., ISO, OMG, W3C, the COPRAS European initiative). He gave the keynote address of the following conferences: Armenia’2013, IEEE RCIS’2012, SUI’2011, Interaccion’2010, ACM RoCHI’2008, Ergo-IA’2006, CAiSE’2005, UA’2004, IHC’2002, NIPO’2002, Tamodia’2002, and CAGUI’1993.


Pr. Patrick GIRARD France

Title: Agile Methods and Human-Computer Interaction Abstract: Interest for Agile methods is currently growing up in software engineering. These methods are founded on the Manifesto for Agile Software Development (http://agilemanifesto.org) which focusses mainly on "customers", considering users as minor actors in the process. In this tutorial, we intend to show how to effectively take into account the user in an agile approach, in compliance with the Agile Manifesto principles, and for the best benefit of the « client." An experiment conducted for several years in Master curricula will illustrate the presentation.

Biography: Patrick Girard is Professor at the University of Poitiers. He is member of the LIAS Laboratory, which belongs both to the University of Poitiers and the ISAE-ENSMA. His research specialties are Human Computer Engineering and Software Engineering. Member of the AFIHM community - he has been AFIHM’s president for 4 years - he organized twice the IHM French-speaking conference, and will organise the next one in 2017. He his co-editor of the international Journal of Interaction between Persons and Systems (JIPS), http://jips.episciences.org, the research journal of the AFIHM community. His current concerns focus on task modeling, agile methods, and new pedagogical methods for teaching. He teaches mainly in Master programs, in HCI, Object-Oriented Design and Programming, Software Engineering and Agile Methods.


Pr. Marius M. BALAS Romania

Title: The Fuzzy-Interpolative Systems and Methodology Abstract: The presentation is stressing a fundamental side of the fuzzy sets: the interpolative one. The interpolation networks with linear interpolation are universal approximators, so any fuzzy controller can be approximated, or even equaled in the case of some Sugeno controllers, by a corresponding interpolative network. Linear interpolations can be applied in any development phase of an application, from the design of the fuzzy sets using triangular or trapezoidal membership functions to the physical implementation. The interpolative systems are very effective from the computational point of view and feasible in any possible technology (software/hardware/digital/analog). During the conception stage, the hybrid fuzzyinterpolative systems take advantage of the fuzzy linguistic representation of the expert knowledge, while for the implementation stage one use look-up-tables with linear interpolation. As main analyze tool the Fuzzy-Interpolative Methodology uses the phase trajectory qualitative analysis, and by means of the expert rules, it can embed knowledge on system theory and control theory (mainly the tuning of linear PID and Nyquist stability criterion). The transition from the implicit expert system nature towards the automate learning (neuro-fuzzy) is immediate. Case studies concerning air conditioning, intelligent transportation or fuzzy decision-making expert systems are illustrating this methodology.

Biography: Marius M. Balas (b. 1956) is a Professor in the Department of Automatics and Applied Informatics at the Faculty of Engineering of the Aurel Vlaicu University of Arad, Romania. He was also a research engineer at the Research Laboratory of the Research and Development Institute for Railway Coaches of Arad (1984-1993). In 2004 and 2006 he was invited researcher at Université du Sud Toulon-Var, France. He holds an Applied Electronics and Telecommunications Engineer Diploma from the Polytechnic University of Timisoara, Romania, since 1980. Since 2001 he holds a Doctorate in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara, Romania. He is author of more than 100 research papers in refereed journals and international conferences and author of seven invention patents. His re-search interests are in Fuzzy systems, Intelligent circuits and FPGAs, Computer modeling, System engineering, Passive greenhouses and Intelligent transportation systems. Some of his original concepts are the Fuzzy-interpolative systems, the Passive greenhouses, the Constant time to collision optimization of the traffic, the Imposed distance braking, the Internal model bronze casting, PWM inverters for railway coaches in tropical environments, the Rejection of the switching controllers effect by phase trajectory analysis, the Fermat neuron, etc. Dr. M.M. Balas is a Senior Member IEEE. He is a member of EUSFLAT, IAENG, IACSIT, etc. and also a member of several editorial boards and organizing committees.


Dr. Nilanjan DEY India

Title: Bio-inspired Algorithms in Medical Information Hiding for Telemonitoring Abstract: Widespread use of wireless communication as well as telemedicine necessitates the demand for copyright protection of multimedia. Information required for detection of diseases is conveyed through medical images. Authentication is very significant in validating a medical content in the domain of telemedicine; however, there are many challenges. Any kind of misrepresentation can result in flawed diagnosis. However, for authenticity and security of data, a small amount of distortion can be ignored. Thus, accurate verification is paramount, and any misuse of personal information may have serious consequences. One of the effective techniques for secure information communication and transfer is watermarking. The watermarked image/signal of the individual is then transmitted through a communication channel. Hence, achieving a watermarking technique with an insignificant amount of distortion in bio-medical information is an exigent task. Watermarking requires embedding of diagnostic and health care information accurately without affecting the medical image or misuse of e-consultation. Medical information authentication is performed by embedding the ownership data within the content is more trustworthy than the classical method of transmitting the content individually without any ownership data. There are numerous metrics to measure the effectiveness of the used watermarking algorithm. The most significant two requirements are watermark robustness and watermark imperceptibility. Though these two requirements are all very desirable, they conflict with each other and some tradeoff must be compromised. Additionally, depending upon the texture information and the image size, the watermarking embedding factors vary from one cover image/signal to another. To optimize the level of robustness and perceptibility of the watermarking technique, selection of an optimum set of embedding factors is very essential. Thus, bio-inspired techniques can be employed for acquiring the optimized watermarking algorithm. In the fields of information hiding researches employed several types of bio-inspired computing, such as Ant Cuckoo Search (CS), Colony Optimization (ACO), Bee Algorithm (BA) and Firefly Algorithm (FFA). Consequently, it is required to design appropriate embedding factors for these optimization algorithms. With the properly designed selected embedding factors, bio-inspired computing can be helpful to the design of watermarking algorithm. The optimal scaling factors optimized by the used bio-inspired algorithm can be sent through some secret communication channel. Then, in the recipients end, the gray/binary hospital logo and the electronic patient report (EPR) are extracted from the watermarked image/signal. In this talk, a comprehensively study the behavior of some well-established watermarking algorithms (transformation domain) for the preservation of diagnostic parameters in optimization framework is discussed. A secure and strong authentication system for an efficient and secure medical information watermarking using well-known bio-inspired algorithms, namely CS and FA are used to embed multiple medical data within a biomedical image in an optimized way are conducted. Additionally, watermarking based Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) performance is compared to the CS and FA based algorithms for watermarking. Furthermore, the talk will reported how the proposed optimized scale factors can be utilized along with, two mathematical measures for the computation of the devalorization of diagnostic parameters caused as an effect of watermarking, namely the diagnostic devalorization (DDsystem) and diagnostic preservation (DPsystem) for effective watermarking. Moreover, two different sets of watermarking algorithms, namely: two correlation-based (binary logo hiding) and two singular value decomposition (SVD)-based (gray logo hiding) watermarking algorithms, as used for embedding ownership logo are conducted. The talk will clarify how the proposed optimized watermarking algorithm can have minimum effect on the diagnostic parameters. The talk highlights a novel perception in understanding the watermarking based on bio-inspired optimization approach to alleviate scalability, communication and security for medical images transmission.


Finally, the talk will discuss some of the future trends in watermarking using hybrid bio-inspired optimization algorithms.

Biography: Nilanjan Dey, PhD., is an Asst. Professor in the Department of Information Technology in Techno India College of Technology, Rajarhat, Kolkata, India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization Of- Sgientifig and Engineering Unions, BULGARIA, Associate Researcher of Laboratoire RIADI, University of Manouba, TUNISIA. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US , International Journal of Rough Sets and Data Analysis (IGI Global), US, Series Editor of Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, Regional Editor-Asia of International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience and Associated Editor of International Journal of Service Science, Management, Engineering, and Technology, IGI Global. His research interests include: Medical Imaging, Soft computing, Data mining, Machine learning, Rough set, Mathematical Modeling and Computer Simulation, Modeling of Biomedical Systems, Robotics and Systems, Information Hiding, Security, Computer Aided Diagnosis, Atherosclerosis. He has 8 books and 160 international conferences and journal papers. He is a life member of IE, UACEE, ISOC etc.


Pr. Dominique ARCHAMBAULT France

Title: Introduction to digital accessibility Abstract: To ensure equal access to everyone to the digital world, it is necessary to take into account special needs of people with disabilities in the design process of computer interfaces as well as in the publication of digital information. In this lecture we will investigate the notion of handicap, and the evolution towards the "social mode"' of disability, which is now widely accepted by international development actors worldwide. In this model the person is considered as a citizen having political and civil rights issue rather than an individual having problems due to medical conditions. Therefore the handicap is created by an inaccessible environment rather than created by a deficiency. Then we will consider the various families of assistive technologies, or technologies helping people, with a strong focus on ICT based technologies, and define the conditions that are needed for them to function, which is the principle of accessibility. Finally, after defining the different levels of digital accessibility we will explore the ways to achieve digital accessibility in practice, at the scale of a large organisation like a university, and propose the notion of culture of accessibility, as a way to involve each actor of the digital environment in the process of making the digital environment fully accessible to everyone.

Biography: Professor in Computer Sciences at University Paris 8-Vincennes-Saint-Denis, Dominique Archambault is in charge of the THIM laboratory (Technologies, Disabilities, Interactions, Multimodalities) where he is conducting researches on non-visual human-computer interaction and accessibility to complex documents. The domains of application of his research works are multimodal access to mathematical expressions, allowing collaborative works between sighted and non-sighted persons and accessibility to multimedia games. He is teaching Computer Programming and Assistive Technologies in the Master Technologies and Disabilities of University Paris 8, of which he is the Director (http://master-handi.fr). He is also delegate for questions about disabilities (Chargé de Mission Handicap) at University Paris 8. Since 2011 he is the General secretary of IFRATH (http://ifrath.fr), an Institute which regroups French research teams working on Assistive Technologies. And since 2013 member of the board of AAATE (Association for the Advancement of Assistive Technologies in Europe –http://aaate.net), a European wide association regrouping research teams, companies and public bodies. He is Associate Editor of the Scientific Journal Technology and Disability since September 2015. He is also the Chair of the Scientific Board of the ICCHP Summer University for visually impaired people in the fields of Mathematics, Statistics and Sciences.


Lyudmila MIHAYLOVA United Kingdom

Title: Recent Advances in Traffic Flow Modelling, Monitoring and Dealing with Big Data in Smart Cities Abstract: In this talk, I will discuss some of the challenges that smart cities face, especially in the light of dealing with multiple heterogeneous sensor data over large scale traffic networks, tracking and predicting of traffic flows for improved mobility. Recently developed methods will be addressed that are able to cope with nonlinearities, constraints and large volumes of data. Sequential Monte Carlo (SMC) methods and Markov Chain Monte Carlo (MCMC) methods constitute a family of methods that are able to solve such problems. This talk will present recently developed SMC and MCMC algorithms for tracking groups of pedestrians and vehicles. Groups are structured objects characterised with particular motion patterns. The group can be comprised of a small number of interacting objects (e.g. pedestrians or convoy of cars) or of hundreds or thousands of components such as crowds of people. A related problem of interest is behaviour analysis and autonomous decision making. For instance, is this vehicle driving in the right lane of the road? Efficient implementations will be presented which are able to deal with the high dimensionality of the problems in a centralised and decentralised ways, to fuse the large volumes of data in an efficient manner and to provide high accuracy

Biography: Lyudmila Mihaylova is Professor of Signal Processing and Control with the University of Sheffield, United Kingdom. She is an expert in the areas of multi-sensor information and data fusion and processing. Prof Mihaylova and her team are working to develop novel methods for autonomous intelligent systems: for sensing, tracking and decision making, machine learning and their engineering applications. One big area is intelligent transportation systems which includes developments for large scale image and video processing systems.


Pr. Gilles JACQUEMOD France

Title: FDSOI Technology and New Design Abstract: In this tutorial, we present the FDSOI technology and its main advantages, especially the threshold voltage control by the transistor Back-Gate. Then, we propose a new inverter topology decreasing the process variability influence on performances of a ring oscillator or VCRO (Voltage Controlled Ring Oscillator). Despite the fact that such VCRO topology exhibits a larger phase noise, this design will address aggressively the size and power consumption reduction. Using FDSOI technology, we propose a new complementary structure based on a pair of Back-gate cross-coupled inverters offering a fully symmetrical operation of complementary signals. The complementary outputs of the inverters are crossing at VDD divided by 2. Monte Carlo (MC) simulations exhibit a mean value of VDD/2=500mV, and the standard deviation is about Sigma=2.7mV. Moreover, this topology enables a VCRO with an even number of inverters. This latter feature makes it easy to perform quadrature VCOs (QVCO or QVCRO), which are used in RF receiver architectures for image frequency rejection. We have verified this characteristic by estimating the phase between two outputs using Monte Carlo simulations. The mean value of the phase is 45° (for a 4 complementary inverters ring oscillator) and the standard deviation is Sigma=0.13°. Finally, we have studied the jitter of such oscillator and proposed some explanations. The DC transfer function of a complementary inverter shows that it is possible to reach an infinite gain to realize an “ideal” inverter. In fact, we have to realize a trade-off between this gain and the symmetry of the complementary outputs. Biography: Gilles Jacquemod graduated from ICPI (CPE) Lyon, and received MSc degree (DEA) in microelectronics from Ecole Centrale Lyon in 1986. He received the Ph.D. degree in integrated electronics from INSA Lyon, in 1989. From 1990 to 2000, he worked at LEOM, Ecole Centrale Lyon, as an Associate Professor, on analog integrated circuit design and behavioral modeling of mixed domain systems. In 2000, he joined the LEAT laboratory and the Ecole Polytechnique of Nice-Sophia Antipolis University as full professor. Since 2010, he is with EpOC research team (URE UNS 006). His primary research interests include analog integrated circuit design and behavioral modeling of mixed domain systems. He is also involved in RF design applied to wireless communication. He is director of the CNFM PACA pole and director of EpOC Lab. He is author and co-author of more than 250 journal and conference papers, and holds 3 patents.


Ryan KIKTA (Invited Demo Speaker) New York, USA

Title: Virtual Reality Use in Medical Applications and International Collaboration Abstract: International collaboration is complex in even the best scenario and presents many challenges in the form of project coordination, long distance communication, and often, multiple language barriers. This becomes even more complex when considering emerging technology, such as Virtual Reality, that are yet to be commonly understood and have significant hardware requirements. These obstacles present a significant challenge in forming and maintaining new relations, key aspects are often obscure to those without experience in these types of partnerships. This tutorial will demonstrate the virtual reality application Analgesia –created to assist in pain and phobia management –along with the fine arts digital media applications Merging Dots, and Stippling Pro, Developed by the University of Granada Virtual Reality Laboratory and detail the ways in which a successful user-centric evaluation of these multiple projects was achieved. Some of the key points include: usability principals applied to virtual reality, steps of collaboration with foreign universities and businesses, evaluation and improvement of the existing software, challenges faced in emerging collaborations and how those challenges may be able to be overcome. Participants will have an increased awareness of cross-cultural communication and global collaboration as well as knowledge in critical analysis of user centered design and how to apply it within their own endeavors. Society is becoming ever more global and global teamwork has become an essential skill.

Biography: Ryan Kikta (USA) received a M.A. degree in Human Computer Interaction from the State University of New York at Oswego (SUNY Oswego), Oswego, NY, in 2016, a B.A. degree in Psychology from the State University of New York Polytechnic Institute, Utica, NY, in 2015, Consulted for the University of Granada Virtual Reality Laboratory, Summer of 2016. Research interests are in virtual reality usability, user interface design, aviation design and human factors. Ryan has nearly a decade of aviation electronics experience on commercial and military aircraft.


Dr. Nasredine SEMMAR (Invited Demo Speaker) France

Title: Deep learning approaches for inducing multilingual resources and natural language processing tools for resource-poor languages Abstract: Nowadays Natural Language Processing (NLP)tools with the best performance are those builtusing supervised learning approaches for resourcerichlanguages where annotated corporaare available. However, for a large number ofresource-poor languages, annotated corpora do notexist and their manual construction is labour intensiveand expensive.In this talk, we present the use of unsupervised approaches to learn multilingual NLP tools from parallel corpora with only annotations in the source language. In particular, we experiment a Recurrent Neural Network (RNN) toinduce automatically multilingual tools for two NLP tasks: Part-Of-Speech tagging and SuperSense tagging. We investigatethe effectiveness of simple and bidirectional RNN architectures for multilingual sequence labelling tasks without using anyword alignment information.In order, to avoid projecting label information from deterministic and error-prone word alignments, we propose to represent the word alignment information intrinsically in the RNN architecture. Theidea consists in implementing a RNN as a multilingual sequence labelling tool. We also propose some new RNN variants in order to take into account low levelinformation such as Part-Of-Speech in SuperSensetagging task. Experiments conducted on several European languages (French, German, Greek, Italian and Spanish) illustrate the validity and genericity of the proposed approach.

Biography: Dr. Nasredine Semmar is a research scientist at the Vision and Content Engineering Laboratory (LVIC) of the CEA LIST institute within the French Atomic Energy and Alternative Energies Commission. After obtaining his PhD in computer science from University of Paris-Sud (France)in 1995 on multimedia software localization, he worked from June 1996 to April 2000 as an R&D engineer in Lionbridge Technologies – Bowne Global Solutions, he designed and implemented tools for Computer Aided Translation and he participated in delivering the multilingual version of Microsoft Windows 2000. He then joined SAP - Business Objects where he worked for 2 years as an expert in software internationalization and localization, he contributed to the development of a platform for multimedia software graphical user interface localization.Since August 2002, hehas been working atLVIC laboratory where he has implemented the treatment of Arabic in the CEA LIST Natural Language Processing platform LIMA and he has developed several tools for building multilingual resources from parallel and comparable corpora. He has published more than 110 both local and international book chapters, papers in conferences, peer-reviewed journalspapers and technical reports. He wasthe convenor of the work group “Multilingual information representation” of the ISO/TC37/SC4 and he participates as an expert in promoting the ISO standard MLIF (Multilingual information framework). His research interests are in Machine Translation, Cross-Language Information Retrieval, inducing multilingual resources and natural language processing tools for resource-poor languages, and Standardization.


Russell TRAFFORD (Invited Speaker) USA

Title: The NASA-Rowan project on CubeSats. Abstract: The Rowan University MemSat Project is New Jersey's first university CubeSat Mission. Our mission is to send a 1.3kg satellite into Low Earth Orbit to perform multiple experiments in Space Conditions. MemSat (Memristive Satellite) gets its name from the primary experiment, to test the effects of radiation and the space environment on memristive based memory. This satellite is currently set to launch early 2018 and will be deployed off of the International Space Station. This project consists of 10 graduate students and roughly 30 undergraduate students, distributed into 11 subsystems each pertaining to different aspects of the MemSat. In this talk, I will cover the basic mechanisms, applications, and implications of memristive non-volatile memory as well as an overview of the Rowan University MemSat Project overall structure, goals, and project management techniques.

Biography: Russell Trafford received his Bachelors and Masters of Science in Electrical and Computer Engineering from Rowan University (2014-15) where he is currently pursuing his Ph.D. His research interests during these times of study included Smart Sensor Networks, Standards for the IoT, Cryptocurrencies, and Smart Transducer Design. His PhD is focused on applications of Memristors. He won best paper in the 2014 IEEE Region 2 Students Activities Conference. Currently, he is the Lead Project Manager on the MemSat CubeSat project focused on testing nonvolatile memories in space conditions. Currently, Russell is a Teaching Fellowship awardee and has heavily assisted in class such as Principles of Electric Circuits, Systems and Controls, and Freshman Engineering Clinic. His pedagogical approaches have been published in the ASEE Mid-Atlantic Conference Proceedings for teaching Freshman Clinic and is currently working on publications for the IEEE Integrated STEM Education Conference, focusing on breaching the communications barrier between students, the professors, and themselves.
