Build-Informatics Research Group


 The group is involved in identifying,processing and modeling of problems in Construction management, Building production, Construction technology, Structural design, Facility maintenance,Facility management and Building economics. The group is involved in the use of basic computer application and digital technologies in problem identification, processing and modeling.Research problems are processed through application of qualitative and basic social science approach. Other areas of coverage include: Environmental Informatics, Sustainable development, Environmental Variables Modeling and Building Information Modeling. The research output is diffused through Journal publication, open access services and seminar.

Build-informatics group uses Information technology  tools  to  harvest, retrieve, collate, analyze, store, manipulate and transfer  information to and  from  client base, professional base and building industry stake holders.  In this group, Research is focused on design, planning, costing, collaboration and  integration of different inter phase of project work  with the aid of  IT tools in the entire building process  and life cycle.

There are specialized research areas, this includes: information design and analyses,  knowledge simulation and model  integration, knowledge discovery and communication via digital technology and multimedia/VR interphases,  Internet based resources, intelligent buildings, healthy building, digital infrastructures,building product support information modelling and handling,  cost  and time languages and systems for meta level integration of building.

Simulation of building system typology ( Virtual Building), design,implementation of human computer interfaces, processes for knowledge handling and intelligent building systems.

Examples of research areas:

  • Environmental Informatics.
  • Knowledge representations and knowledge augmentation.
  • Cost, Space and time dependent Virtual Building models.
  • Simulation of building processes and products from systems approach.
  • Modelling of Environmental variables that affects building.
  • Information processing and transmitting  medium: Learning organizations. Data mining, Neuro-Fuzzy, Fuzzy Logic,
  • Optimization of building variables using  Expert System, Fuzzy Logic, Neural Networking, Linear Programming, Ant Colony e.t.c
  • Collaborative work (Computer Aided User client Inter phase, Concurrent engin­eering).
  • Intelligent buildings.

Current Projects: (i)    Build-Informatics: User-Client-Operator Based Inter-phase Maintenance  Module for Building Maintenance Works.

Project Estimated Value:  $ 12,850.00.

Project Update :

                         (ii)   Build-Informatics:  Developing  Optimum Maintenance Policy for  Maintaining Replaceable Building Components.

Project Estimated value:   $ 9,434.00

Project Update:



Amusan L.M, Josua O, Adelakun A, AnosikeM.N, Tunji-Olayeni P.F(2012)  CostEntropy And Expert System Approach to Modeling Cost Smoothing System inReinforced Concrete Office Building Procurement. Journal of EnvironmentalResearch 2(9).

Amusan L.M Joshua O, OwolabiJ.D,Tunji-Olayeni P.F, Anosike M.N (2012) Expert System-Based ExploratoryApproach to Cost Modeling of Reinforced Concrete Office Building InternationalJournal of Engineering and Technology 3(2).

Amusan L.M,Josua O, Adelakun A, Omuh I.O (2012) Neural Network-Based Model for ProjectCost Adjudication System in Residential Building Project ProcurementInternational Journal of Education and Research 2(1). 

Amusan L.M and Ayo C.K (2012) Multi- Parameter Optimization of CostEntropy for Reinforced Concrete Office Building Projects Using Ant ColonyOptimization.  International Journal ofScience and Technology.

Amusan L.M(2012)A book titled “Neural  Network-Based Predictive Cost Model for Building Works: An Approach toReduce Excessive Cost on Building Works. LAP Academic Publishing Germany.

AmusanL.M, Mosaku T.O, Ayo C.K, Adeboye A.B (2010) Neural Network-Base PredictiveModel for Building Works: Cost Escalator Buffer Approach. International Journalof Basic and Applied sciences 13(2)

Amusan L.M, Bamisile A.O (2009) AnApproach to Application of Total Quality Management in Building MaintenanceOperation. SCRIBD.20958606. San-Francisco. United States of America.

Amusan L.M (2010) Controlling CostOverrun on Construction sites. SCRIBD.URL: San-Francisco. United States of America.

AmusanL.M,Oloyede S.A, Tunji-Olayeni P.F ( 2010) Innovations and SustainabilityIssues   in  GreenProject Management. International Journal of Research in InformationTechnology  and Management. ISSN 22314332.Malaysia.

AmusanL.M,Ogunde A.O, Anosike M.N (2011) Sustainability Strategies in Management ofEngineering Infrastructure: Selected South Western Nigeria Case study.International Journal of Science and Technology. ISSN 0976-2183   . Malaysia.

Amusan Lekan, M,  Oluwunmi Adedamola  O; Adegbenjo Adelakun,Tunji-olayeni Patience, F and Ogunde Ayodeji, O (2013) TargetOutput, Extended Output and Site Productivity: Tales of the Expected. Journal of Environment and EarthSciences.

AmusanL.M Oluwunmi A.O, Owolabi J.D (2013)  Multivariate Approach To   Benchmarking   Quality Prediction Parameters In BuildingMaintenance Work. Journal of Industrial Engineering Letter. 2(3)

Amusan   L.M (2009) Neural Network- Based Predictive Cost Model for Building Works. West African Built Environment Research    Conference. British Council. Accra. Ghana.3rd -5th June, 2009.

Amusan L.M,  Mosaku T.O,  Ayo C.K, Adeboye A.B,  (2010) Expert System- Based Cost Predictive Model for Building Works. International Conference on Sustainable Development and Environmental Protection: Strategies and Procedures for Developing Nations. Bells University of Science and Technology, Ota. Ogun State. 21st – 23rd September, 2010.

Book Published:   Expert System Approachto Overcoming Excessive Cost on Building Sites.  Lap Academic PublishingGmbH&Co.KgHenrickboking-St 6-8, 66121 Saabrucken,Deutchland Tel +49681 3720-3109.