About
46
Publications
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328
Citations
Citations since 2017
Introduction
Mehdi Khoury currently works at the College of Engineering, Mathematics and Physical Sciences, University of Exeter. Mehdi does research in Serious Games, Advanced Visualization, and Artificial Intelligence applied to water systems. Projects worked on are: (past)'The Nexus Game: Serious Gaming for Water Planning and Management', (present) Sim4nexus - a serious game modelling consequences of climate change on the nexus of inter-dependencies formed by water, food, land, energy and climate- and EU-Circle - critical infrastructure resilience to climate change.
Additional affiliations
September 2013 - September 2015
Position
- Research Associate
Description
- I built Simulocyte, an online interactive visualisation of molecular interaction networks of the cell. WebGL, Node.js, and reactive document technology are used to produce the equivalent of a “Minecraft” for cell scientists.
September 2011 - May 2013
Publications
Publications (46)
Understanding the Circular Economy for water is challenging. It requires being acquainted with the individual components involved in the urban water cycle such as stormwater, water conveyance, groundwater, water drainage, wastewater treatment and discharge. In addition, to appreciate benefits and tradeoffs in the context of Circular Economy, one al...
The design, construction and maintenance of Critical Infrastructures (CI) is commonly based on standards that are rigorous, so as to withstand any climate or weather-linked pressures. However, due to climate change, climate characteristics may shift, resulting in increased frequency/magnitude of potential failures, or exposure to new unknown risks....
Critical infrastructures (CIs) are commonly designed, built and maintained based on rigorous standards in order to withstand the climate and weather-related pressures. However, shifts in climate characteristics may result in increases of the magnitude and frequency of potential risks, or expose specific CI to new or increased risks not previously c...
Flood prevention in mixed urban–rural environments has become a greater concern due to climate change. It is a complex task requiring both efficient management of resources and the involvement of multiple stakeholders from diverse backgrounds. As Serious Games (games used for purposes other than mere entertainment) have emerged as an effective mean...
Critical Infrastructures (CIs) are commonly designed, built and maintained based on rigorous standards in order to withstand the climate and weather-related pressures. However, shifts in climate characteristics may result in increases of the magnitude and frequency of potential risks, or expose specific CI to new or increased risks not previously c...
Critical Infrastructures (CIs) are commonly designed, built and maintained based on rigorous standards to withstand the climate and weather-related pressures. However, shifts in climate characteristics may result in increases of the magnitude and frequency of potential risks, or expose specific CI to new or increased risks not previously considered...
Torbay, located in South West England, UK, is one of the Case Studies on the EU-funded project EU-CIRCLE, which is aimed at enhancing resilience of Critical Infrastructures (CI) to natural hazards. The region includes three urban centres (Torquay, Paignton and Brixham) and hosts more than 3 million tourists every year that contribute over £450 mill...
This Chapter presents a fuzzy qualitative representation of conventional trigonometry with the goal of bridging the gap between symbolic cognitive functions and numerical sensing and control tasks in the domain of physical systems, especially in intelligent robotics. Fuzzy qualitative coordinates are defined by replacing a unit circle with a fuzzy...
Unconstrained human hand motions consisting grasp motions and in-hand manipulations lead to a fundamental challenge that many algorithms have to face in both theoretical and practical development, mainly due to the complexity and dexterity of the human hand. There is no effective solution reported to recognise in-hand manipulations though recogniti...
Enormous uncertainties in unconstrained human motions lead to a fundamental challenge that many recognising algorithms have to face in practice: motion recognition has to be efficiently correct, but verifying whether or not the algorithm is robustly following the true target motion tends to be demanding, especially when human kinematic motions heav...
This chapter proposes a fuzzy qualitative (FQ) version of robot kinematics with the goal of bridging the gap between symbolic or qualitative functions and numerical sensing and control tasks for intelligent robotics. The trigonometry role in robot kinematics is replaced using FQ trigonometry and the proposed derivative extension, which leads to a F...
This chapter proposes a fuzzy qualitative (FQ) approach to vision-based human motion analysis with an emphasis on human motion recognition. It achieves feasible computational cost for human motion recognition by combining FQ robot kinematics with human motion tracking and recognition algorithms. First, a data quantisation process is proposed to rel...
In order to study and analyse human hand motions which contain multimodal information, a generalised framework integrating multiple sensors is proposed and consists of modules of sensor integration, signal preprocessing, correlation study of sensory information and motion identification. Three types of sensors are integrated to simultaneously captu...
This chapter proposes a novel approach to extract human hand gesture features in real-time from RGB-D images based on the earth mover’s distance and Lasso algorithms. Firstly, hand gestures with hand edge contour are segmented using a contour length information based de-noise method. A modified finger earth mover’s distance algorithm is then applie...
In this chapter, in order to improve both the performance and the efficiency of the conventional Gaussian Mixture Models (GMMs), generalised GMMs are firstly introduced by integrating the conventional GMMs and the active curve axis GMMs for fitting non-linear datasets, and then two types of Fuzzy Gaussian Mixture Models (FGMMs) with a faster conver...
Most of the existed action recognition methods mainly utilise spatio-temporal descriptors of single interest point ignoring their potential integral information, such as spatial distribution information. By combining local spatio-temporal feature and global positional distribution information (PDI) of interest points, a novel motion descriptor is p...
Visual-based action recognition has already been widely used in human-machine interfaces. However it is a challenging research to recognise the human actions from different viewpoints. In order to solve this issue, a novel multi-view space Hidden Markov Models (HMMs) algorithm for view-invariant action recognition is proposed. Firstly a view-insens...
Empirical copula is a non-parametric algorithm to estimate the dependence structure of high-dimensional arbitrarily distributed data. The computation of empirical copula is, however, very costly so that it cannot be implemented into applications at a realtime context. In this chapter, fuzzy empirical copula is proposed to reduce the computation tim...
This paper presents an online, web-based Serious Game developed to investigate end-user behaviour when faced with complex WDS design and rehabilitation problems. SeGWADE (Serious Game for WDS Analysis, Design & Evaluation) couples an innovative and visually attractive interactive front-end with a server-side modelling engine handling real-time hydr...
This book introduces readers to the latest exciting advances in human motion sensing and recognition, from the theoretical development of fuzzy approaches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially...
In the paper, we present an innovative application that allows stakeholders to interactively visualise the evolution of flooding and its impact to critical infrastructure using a standard web browser without any other software requirement. The system can demonstrate not only the maximum flood extent on a plain map, but also spatiotemporal varied in...
Water systems planning and management share the same roots with gaming, as they rely
on concepts in systems analysis, operations research and decision sciences. This paper focuses on
Serious Games (those used for purposes other than mere entertainment), with applications in the
area of water systems planning and management. A survey of published wo...
This paper presents an online, web-based Serious Game developed to investigate end-user behaviour when faced with complex WDS design and rehabilitation problems. SeGWADE (Serious Game for WDS Analysis, Design & Evaluation) couples an innovative and visually attractive interactive front-end with a server-side modelling engine handling real-time hydr...
The study of interdependent complex networks in the last decade has shown how cascading failure can result in the recursive and complete fragmentation of all connected systems from the destruction of a comparatively small number of nodes. Existing “network of networks” approaches are still in infancy and have shown limits when trying to model the r...
From a multi-disciplinary point of view, research on resilience focuses on robustness, recovery, and adaptive capacity. Robustness quantifies how much damage a system can take before it breaks, whereas recovery refers to the ability of a system to recuperate within limits of time and resources, and adaptability requires a system to be able to struc...
Network theory is increasingly employed to study the structure and behaviour of social, physical and technological systems - including civil infrastructure. Many of these systems are interconnected and the interdependencies between them allow disruptive events to propagate across networks, enabling damage to spread far beyond the immediate footprin...
Complex network approaches have been used to analyse physical or social networks. Previous research has tended to focus on studying single, isolated systems and ignores the fact that many of these systems are developing into a “network of networks”. Over the years these systems have become increasingly interconnected. Due to this interdependence th...
Fuzzy Quantile Inference (FQI) is a novel method that builds a simple and efficient connective between probabilistic and fuzzy
paradigms and allows the classification of noisy, imprecise and complex motions while using learning samples of suboptimal
size. A comparative study focusing on the recognition of multiple stances from 3d motion capture dat...
This research introduces and builds on the concept of Fuzzy Gaussian Inference (FGI) (Khoury and Liu in Proceedings of UKCI,
2008 and IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS 2009), 2009) as a novel way to build Fuzzy Membership Functions that map to hidden Probability Distributions underlying human motions....
This work presents a framework that combines the concept of Fuzzy Quantile Inference (FQI) with Genetic Programming (GP) in order to accurately classify real natural 3d human Motion Capture data. FQI is a generalization of Fuzzy Gaussian Inference. It builds Fuzzy Membership Functions that map to hidden Probability Distributions underlying human mo...
In this paper, feature selection is used to allow the identification of critical attributes before the reconstruction of occluded data in 3d human motion classification. This work presents Fuzzy Laplace Similarity: a new fuzzy similarity relation used in the context of fuzzy rough feature selection. The measure of similarity is critical to the perf...
This paper combines the novel concept of Fuzzy Gaussian Inference(FGI) with Genetic Programming (GP) in order to accurately classify real natural 3d human Motion Capture data. FGI builds Fuzzy Membership Functions that map to hidden Probability Distributions underlying human motions, providing a suitable modelling paradigm for such noisy data. Gene...
This paper continues to explore the potential of newly introduced Fuzzy Gaussian Inference (FGI). It aims at constructing fuzzy membership functions by modelling hidden probability distributions underlying human motions. A fuzzy rule-based system has been employed to assist boxing motion classification from natural human Motion Capture data. In thi...
This paper introduces fuzzy qualitative Gaussian inference: a novel way to build fuzzy membership functions that map to hidden probability distributions underlying the informationally structured space. This method is used to classify boxing moves from natural human motion capture data. In our experiment, the system is able to recognise seven differ...
This paper is concerned with the learning of dynamic models of compartmental systems visualized as networks of inter- connected tanks. This is intended as an intermediary step to learn more complex dynamic biological systems such as metabolic pathways. Our present aim is to learn systems of differential equations from time series data to capture ph...
Model learning often implies exploring a vast search space of possible hypotheses in the hope of finding a solution. Qual-itative model learners are mostly based on Inductive Logic Programming (ILP), which is a systematic method which tends to be well fitted for exploring solutions in a narrow search space. We present a semi-quantitative model lear...
Scientific discovery implies exploring a vast search space of possible hypotheses in the hope of finding a model befitting the available data. Our present aim is to use Genetic Programming (GP) and a representation involving both crisp numbers and fuzzy quantity spaces to learn models of simple physical systems from a set of imperfect and incomplet...
We present a novel way to generate fuzzy membership functions that allows us to identify human activities from motion capture data. The system is able to recog-nise seven different boxing stances simul-taneously with an accuracy superior to a GMM-based classifier. Experimental re-sults seem to indicate that a template can be learned and a stance id...
Projects
Projects (3)
The WDPS aims to utilise ECMWF weather forecast information to help Kenya mitigate epidemic following drought and flood disasters, both had severe impacts to human health in the country.
It is presently acknowledged and scientifically proven than climate related hazards have the potential to substantially affect the lifespan and effectiveness or even destroy of European Critical Infrastructures (CI), particularly the energy, transportation sectors, buildings, marine and water management infrastructure with devastating impacts in EU appraising the social and economic losses. The main strategic objective of EU-CIRCLE is to move towards infrastructure network(s) that is resilient to today’s natural hazards and prepared for the future changing climate. Furthermore, modern infrastructures are inherently interconnected and interdependent systems ; thus extreme events are liable to lead to ‘cascade failures’.
EU-CIRCLE’s scope is to derive an innovative framework for supporting the interconnected European Infrastructure’s resilience to climate pressures, supported by an end-to-end modelling environment where new analyses can be added anywhere along the analysis workflow and multiple scientific disciplines can work together to understand interdependencies, validate results, and present findings in a unified manner providing an efficient “Best of Breeds” solution of integrating into a holistic resilience model existing modelling tools and data in a standardised fashion.
It, will be open & accessible to all interested parties in the infrastructure resilience business and having a confirmed interest in creating customized and innovative solutions. It will be complemented with a webbased portal.The design principles, offering transparency and greater flexibility, will allow potential users to introduce fully tailored solutions and infrastructure data, by defining and implementing customised impact assessment models, and use climate / weather data on demand.
Making online multi-player serious games with 3d interactive graphics using javascript technology.
