Professor Irem Dikmen
Areas of interest
- Project risk analysis and management
- Sustainable and resilient project systems
- Digital construction technologies
- Mega construction projects
- International construction
Postgraduate supervision
- Ali Chelaghma (ongoing): Managing risk in PV Projects using digital technologies (with Professor Maria Wahdati)
- Nathaniel Appiyah (ongoing) : Managing ESG risks in international construction projects (with Professor Tabarak Ballal)
- Gorkem Eken (ongoing) : Generation ofrisk reports by developing an automatic-extraction model of risk-related clauses using rule-Based NLP
- H. Huseyin Erol (2020): Incorporating complexity into risk management: An integrated risk assessment process for mega construction projects
- Murat Ayhan (2019): Development of dispute prediction and resolution method selection models for construction disputes
- Gulsum Cagil Koseoglu Balta (2019) : A Bayesian Belief Network based delay risk assessment tool for tunnel projects- BBN Tunnel
- Gozde Bilgin (2019): Development of an IT-based tool for portfolio assessment and management for construction companies
- Mirshekarlou Babak Rahmani (2018): Investigation of material waste in prefabricated construction industry : An integrated waste management tool
- Acelya Ecem Yildiz (2018) : Development of a Dynamic Strategy Map Incorporating Scenario Analysis and System Dynamics
- Gulsah Fidan (2015) : Development of a Multi Agent System for Construction Claims Negotiation
Teaching
Convenorship:
CE2CPT - Construction Procurement
CE3CBM – Business Organisation and Management
CEM235 – Engineering Project Management
Contributing to:
CEM202 – Construction Project Management
CEM215 – Infrastructure Development
Research centres and groups
University of Reading Organisation, People and Technology Research GroupResearch projects
- Project Risk Visualisation and Communication in Mega Construction Projects
- Managing Risk and Complexity with Digital Twins
- Risk Information Modelling for the Delivery of Infrastructure Projects
- Using System Dynamics to Support Strategic Decisions on Digitalisation
- Development of a Decision Support Tool for Project Portfolio Management
Background
Professor Dikmen carries out research at the interface of engineering, management, and information sciences. Her research interests relate to construction project management, mainly risk management. She combines theories and methods from various disciplines to analyse complexity, risk and resilience in projects. She uses systems thinking to explore and model project systems and engineering project organizations. She conducts research to explore actuality of projects and develop decision-support systems/tools in collaboration with industrial partners and government institutions. Based on her professional experience within the industry as a consultant in several construction projects, her vision has been to carry out constructive research that demonstrates added value/benefits for the industry and communities.
Academic qualifications
- PhD in Civil Engineering (Construction Engineering and Management specialisation), Middle East Technical University, 2001
- MSc in Civil Engineering (Construction Engineering and Management specialisation), Middle East Technical University, 1996
- BSc in Civil Engineering, Middle East Technical University, 1994
Publications
-
Bilgin, G.
,
Dikmen, I.
ORCID: 0000-0002-6988-7557
,
Birgonul, M.
,
Ozorhon, B.
(2022)
A decision support system for project portfolio management in construction companies.
International Journal of Information Technology and Decision Making
, 22
(2).
pp.
705-735.
ISSN:
0219-6220
|
doi:
https://dx.doi.org/10.1142/S0219622022500821
-
Green, S.
ORCID: 0000-0003-1660-5592
and
Dikmen, I.
ORCID: 0000-0002-6988-7557
(2022)
Narratives of project risk management: from scientific rationality to the discursive nature of identity work.
Project Management Journal
, 53
(6).
pp.
608-624.
ISSN:
1938-9507
|
doi:
https://dx.doi.org/10.1177/87569728221124496
-
Bilgin, G.
,
Erol, H.
,
Atasoy, G.
,
Dikmen, I.
ORCID: 0000-0002-6988-7557
,
Birgonul, M.
(2022)
Exploring pattern of complexity in mega construction projects.
International Journal of Managing Projects in Business
, 15
(7).
ISSN:
1753-8378
|
doi:
https://dx.doi.org/10.1108/IJMPB-03-2022-0064
-
Atasoy, G.
,
Ertaymaz, U.
,
Dikmen, I.
ORCID: 0000-0002-6988-7557
,
Birgonul, M.
(2022)
Empowering risk communication: use of visualizations to describe project risks.
Journal of Construction Engineering and Management
, 148
(5).
ISSN:
0733-9364
|
doi:
https://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0002265
- Dikmen, I. , Atasoy, G. , Erol, H. , Kaya, H. , Birgonul, M. (2022) A decision-support tool for risk and complexity assessment and visualization in construction projects. Computers in Industry , 141 ISSN: 0166-3615 | doi: https://dx.doi.org/10.1016/j.compind.2022.103694
- Erol, H. , Dikmen, I. , Atasoy, G. , Birgonul, M. (2022) An analytic network process model for risk quantification of mega construction projects. Expert Systems with Applications , 191 ISSN: 0957-4174 | doi: https://dx.doi.org/10.1016/j.eswa.2021.116215
-
Tanriverdi, C.
,
Atasoy, G.
,
Dikmen, I.
ORCID: 0000-0002-6988-7557
,
Birgonul, M.
(2021)
Casual mapping to explore emergence of construction disputes.
Journal of Civil Engineering and Management
, 27
(5).
pp.
288-302.
ISSN:
1822-3605
|
doi:
https://dx.doi.org/10.3846/jcem.2021.14900
-
Okudan, O.
,
Budayan, C.
,
Dikmen, I.
ORCID: 0000-0002-6988-7557
(2021)
A knowledge-based risk management tool for construction projects using case-based reasoning.
Expert Systems with Applications
, 173
ISSN:
0957-4174
|
doi:
https://dx.doi.org/10.1016/j.eswa.2021.114776
-
Mirshekarlou, B.
,
Budayan, C.
,
Dikmen, I.
ORCID: 0000-0002-6988-7557
,
Birgonul, M.
(2021)
Development of a knowledge-based tool for waste management of prefabricated steel structure projects.
Journal of Cleaner Production
, 323
ISSN:
0959-6526
|
doi:
https://dx.doi.org/10.1016/j.jclepro.2021.129140
-
Ayhan, M.
,
Dikmen, I.
ORCID: 0000-0002-6988-7557
,
Birgonul, M.
(2021)
Predicting the occurrence of construction disputes using machine learning techniques.
Journal of Construction Engineering and Management
, 147
(4).
ISSN:
1943-7862
|
doi:
https://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0002027