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SUMMARY:Upscaling Building Semantics to Address Urban Sustainability and R
 esilience Scenarios - Professor Yacine Rezgui\, Director BRE Institute in 
 Sustainable Engineering\, Cardiff University School of Engineering 
DTSTART:20170602T140000Z
DTEND:20170602T150000Z
UID:TALK71965@talks.cam.ac.uk
CONTACT:Karen Mitchell
DESCRIPTION:Smart cities and the industrial systems that compose them\, su
 ch as power grids\, water distribution networks\, and district heating / c
 ooling networks\, are facing increasing pressures towards sustainability\,
  resilience\, and service quality. Artificial intelligence\, and ICT in ge
 neral\, has been acclaimed as the solution to these challenges as it offer
 s the potential to sense\, contextualise\, infer\, and actuate the physica
 l environment remotely\, informed by wider environmental conditions\, whil
 st using machine processing power to assist with the feedback and decision
  making process. \n\nSemantics play a key role in facilitating this proces
 s.  However\, the IFCs (commonly referred to as BIM)\, have shown their li
 mitation in dealing with complex built environment scenarios.  The researc
 h community  has recently developed a wide range of semantic resources wit
 h a higher order semantic expressiveness in the form of ontologies.\n\nThe
  above has formed the focus of the BRE Centre of Excellence at Cardiff Uni
 versity who have developed a TRL 6 Computational Urban Sustainability Plat
 form (CUSP)\, underpinned by a rich and cross-disciplinary semantic refere
 ntial. CUSP is a semantic middleware system capable of interpreting (near)
  real-time data originating from a wide range of sensing nodes at a Zone\,
  Building\, Block of Buildings\, or District level\, to deliver performanc
 e accounts informed by domain simulation models\, as well as a forecasting
  and optimisation capability.  The unique features of CUSP involve the use
  of semantics (data models\, such as BIM\, and ontologies) for the holisti
 c management of the performance of the built environment. Our semantic mod
 els are augmented with self-updating intelligence (including algorithms)\,
  rooted in the conceptualization of the domain / phenomenon (i.e. our set 
 of loosely coupled ontologies) capable of dealing with heterogeneous data 
 sources and (near) real-time changing conditions. \n \nCUSP adopts a divid
 e-and-conquer approach in that complexity of the built environment is brok
 en down into a set of discrete but related scenarios\, each of which forma
 lly described and detailed in terms of dependent and independent governing
  variables and their complex interactions through mathematical approximati
 ons. These variables and the resulting mathematical formulations are also 
 rooted in the ontology in that all used variables are semantically describ
 ed within our conceptualization of the domain / phenomenon under investiga
 tion.\n \nIn that respect\, our proposed approach addresses the limitation
 s of current IoT and SCADA-based commercial systems and paves the way to t
 he emerging vision of Semantic Web of Things. Moreover\, our approach fact
 ors in the intrinsic relationship between: (a) the network of sensing node
 s present in a building or a district that capture a dynamically changing 
 environment\, (b) the intrinsic / physical properties of the artefacts inv
 olved (e.g. buildings) and (c) the actuation system delivered through a co
 ntrol system (e.g. building management system). \n\nBiography:\nProfessor 
 Yacine Rezgui is a BRE (Building Research Establishment) Chair in `Buildin
 g Systems and Informatics`.  He is the Director of the BRE Trust Centre of
  Excellence in Sustainable Engineering. He conducts research in the follow
 ing areas: (a) Building Informatics with a focus on semantics (BIM and Ont
 ologies)\, (b) Building and District Energy Management (with a focus on th
 e next generation energy control systems)\, (c) Catchment and Urban Water 
 Management (including modelling\, data analytics\, and optimization)\, (d)
  Resilience of the Built Environment to Natural Disasters\, and (e) Smart 
 Cities. He has over the last 20 years completed in the capacity of princip
 al investigator and co-investigator over 40 RCUK\, InnovateUK\, and EC (FP
 5\, FP6\, FP7) projects.\nHe is currently progressing as Principal Investi
 gator 4 H2020 projects and as Co-Investigator an FP7 and a NERC project al
 l addressing semantic-based analytics for building and district performanc
 e modelling\, simulation\, and optimisation. He has over 180 refereed publ
 ications in the above areas\, which appeared in international journals suc
 h as IEEE Transactions on Systems\, Man\, and Cybernetics\; Proceedings of
  the Royal Society A\; Expert Systems with Applications\; IEEE Transaction
 s on Service Computing\; and IEEE Transactions on Automation Science and E
 ngineering.\n
LOCATION: Cambridge University Engineering Department\, LR6
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