Hafiz Alaka

Dr

Accepting PhD Students

  • 322 Citations
  • 10 h-Index
20142018
If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

Dr Hafiz Alaka is currently a Senior Lecturer in the School of Engineering and the Built Environment with qualifications in Construction and Management. He is a professional member of the Chartered Institute of Building (CIOB) and a Fellow of the Higher Education Academy.

Hafiz is committed to ongoing 21st century inter-disciplinary research with more focus on application of digital technology to construction processes (at consultancy and contracting levels), construction management and construction businesses. My specific research areas include: 

  • Big Data and Predictive analytics for  project processes and management
  • Data gathering through sensors for optimal performances (internet of things)
  • Building Information Management
  • Big Data Analytics for waste reduction
  • Firms’ performance measurement and methodology advancement for construction businesses insolvency prediction
  • Mental health of construction workers

 Hafiz leads and takes part in collaborative research with reputable industry partners. He has been involved in over eight funded research projects worth over six millions pounds. Current projects include ‘Emission reduction (worth £500,000) with Earthsense Limited’ and ‘AutoBIM (worth £900,000) with Balfour Beatty’, among three others. Past projects include deconstruction and recovery information modelling, and Big Data Analytics for  construction waste reduction, among others. Other notable partners include AHR Architects, White Frog Publishing, Smallfry, and counting.

In the last four years, he has produced over 30 articles in journals of international standing. These include top journals with high impact factor including Renewable & Sustainable Energy Reviews (IF = 9.184); Resources, Conservation and Recycling (IF = 5.120); Waste Management (IF = 4.723); and Advanced Engineering Informatics Reviews (IF = 3.358) among many others. They also include 3-star rated journals in ABS like IEEE Transactions on Engineering Management (IF = 1.416) and Expert Systems with Application (IF = 3.768). Many of his papers submitted for mock REF were ranked as being 3* and above. He has also presented his works in world class conferences such as IEEE Big Data Computing Services and Applications; and Association of Researchers in Construction Management conference, among others. He has over 480 citations with H-index=12 and i10-index=13 (Google Scholar).

Hafiz currently supervises and examines PhDs. He is an invited speaker and delegate in a number of research events. He teaches Project and Contract management modules across the Civil Engineering and Construction Management programmes.

 

Education/Academic qualification

Construction Management, Doctorate, University of the West of England

Structural Engineering, MSc, University of Leeds

Civil Engineering, Degree, University of Derby

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 8 Similar Profiles
Construction industry Engineering & Materials Science
Waste management Engineering & Materials Science
Industry Engineering & Materials Science
waste management Earth & Environmental Sciences
Fly ash Engineering & Materials Science
construction industry Earth & Environmental Sciences
Concretes Engineering & Materials Science
Concrete mixtures Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2018

  • 322 Citations
  • 10 h-Index
  • 22 Article
  • 6 Conference proceeding
  • 4 Review article
  • 1 Paper

A Big Data Analytics Approach for Construction Firms Failure Prediction Models

Alaka, H., Oyedele, L. O., Owolabi, H. O., Akinade, O. O., Bilal, M. & Ajayi, S. O., 17 Aug 2018, In : IEEE Transactions on Engineering Management. (In-Press), p. (In-Press) 10 p.

Research output: Contribution to journalArticle

Open Access
File
Neural networks
Tuning
Discriminant analysis
Logistics
Costs

A framework for big data analytics approach to failure prediction of construction firms

Alaka, H., Oyedele, L. O., Owolabi, H. A., Bilal, M., Ajayi, S. O. & Akinade, O. O., 12 Apr 2018, In : Applied Computing and Informatics. (in press), p. (in press)

Research output: Contribution to journalArticle

Open Access
File
Industry
Big data
Electric sparks
Neural networks
Costs
1 Citation (Scopus)

Beyond the third dimension of BIM: A systematic review of literature and assessment of professional views

Charef, R., Alaka, H. & Emmitt, S., 1 Sep 2018, In : Journal of Building Engineering. 19, p. 242-257 16 p.

Research output: Contribution to journalArticle

Sustainable development
Planning
European Union
9 Citations (Scopus)

Designing out construction waste using BIM technology: Stakeholders’ expectations for industry deployment

Akinade, O. O., Oyedele, L. O., Ajayi, S. O., Bilal, M., Alaka, H., Owolabi, H. A. & Arawomo, O. O., 10 Apr 2018, In : Journal of Cleaner Production. 180, p. 375-385 11 p.

Research output: Contribution to journalArticle

Open Access
File
Demolition
Waste management
waste management
stakeholder
industry

Predicting Completion Risk in PPP Projects using Big Data Analytics

Owolabi, H. O., Bilal, M., Oyedele, L. O., Alaka, H., Ajayi, S. O. & Akinade, O. O., 21 Nov 2018, In : IEEE Transactions on Engineering Management. (In-press), p. (In-press)

Research output: Contribution to journalArticle

Open Access
File
Linear regression
Support vector machines
Big data
Prediction
Planning