Dimosthenis Kifokeris
Dr. Dimosthenis Kifokeris is a Docent and Associate Professor in Construction Production and Management of Construction Projects at the Department of Architecture and Civil Engineering (ACE). He is a Director of Doctoral Studies (Graduate Schools in Architecture, Civil and Environmental Engineering, and Applied Acoustics), as well as the Department Coordinator for Artificial Intelligence. His main interests include regenerative construction production, construction management, construction informatics (machine learning, blockchain/DLT, IoT, and BIM), lean construction, and constructability. Dimosthenis has been the leader or a team member in Swedish and international projects with a total budget of approx. 60 million SEK, funded by Formas, SBUF, Vinnova, CMB, and Horizon Europe. His interdisciplinary scientific perspectives include labor process theory, labor theory of value, organizational theory, and data science. In his PhD thesis, he utilized supervised and unsupervised machine learning to appraise project constructability through risk analysis. He is currently Secretary of the Board of the European Council for Computing in Construction (EC3), a Board member of Construction Researchers on Economics and Organisation in the Nordic Region (CREON), a Committee member of the Association of Researchers in Construction Management (ARCOM), the leader of the thematic group Byggprocess och Förvaltning (BoF) in Sveriges Bygguniversitet (SBU), and an individual member of the International Association for Life-Cycle Civil Engineering (IALCCE). He chaired the EC3 2022 PhD Summer School in Rhodes, Greece, in July 18-22, 2022.
Visar 72 publikationer
Blockchain and lean construction: an exploration of bidirectional synergies and interactions
A review of machine learning for analysing accident reports in the construction industry
Reuse or used up? Upscaling material and component reuse in the Swedish construction sector
Revitalising building production through regeneration: A positional paper
Initiating the conceptualisation of human-data interactions in regenerative building production
Blockchain-Based Decentralized Common Data Environment: User Requirements and Conceptual Framework
Advances and future directions in robotic and automated facade maintenance and construction
Digital building logbooks on the blockchain: first conceptualisation and future research directions
Decision-Making Framework for Implementing Blockchain in Building Operations and Maintenance (O&M)
Koncept för aktiv kvalitetsstyrning för mindre beställarorganisationer
AI risks: An organisational practice approach to trustworthiness
Elektrifierade Bygg- och Anläggningsplatser II (Electric Worksite II)
Blockchain-based decentralised Common Data Environment: user requirements and conceptual framework
Human-data interaction in incremental digital twin construction
Blockchain-enabled CBIM for lifecycle data provenance
Addressing minority discrimination in a master’s education program for construction management
Lean construction – nuläget / Lean construction – the current situation
A mapping of Swedish lean construction variants in practice: review and survey
A conceptual framework for lean construction and blockchain synergy
A process-based framework for digital building logbooks
LITTLE BIG TRANSITIONS: ELECTRICAL CONSTRUCTION MACHINES ON SMALL SITES
Do what I say, not what I do: increasing the representation of minorities in the construction sector
Little big transitions: electric construction machines in small sites
DO WHAT I SAY NOT WHAT I DO: INCREASING THE REPRESENTATION OF MINORITIES IN THE CONSTRUCTION SECTOR
Game Theory-Based Minimization of the Ostracism Risk in Construction Companies
Heavy-duty construction equipment: dinosaurs of black energy?
Swedish lean construction practices identified in the last decade of research
Machine learning for analysis of occupational accidents registration data
Challenges in the digital transformation of lean design methods: a case study
A human touch? How machine learning can improve project performance
Risk source-based constructability appraisal using supervised machine learning
An analysis of the impartial implementation in practice of risk identification in technical projects
Blockchain in construction – hype, hope, or harm?
Blockchain in building logistics: emerging knowledge, and related actors in Sweden
Construction planning with machine learning
Building Information Models’ data for machine learning systems in construction management
Application of linguistic clustering to define sources of risk in technical projects
Bridge quality appraisal methodology: application in the Strimonas Bridge. Case study.
Bridge quality appraisal methodology: application in a reinforced concrete overpass roadway bridge
Constructability: Outline of Past, Present and Future Research
Project performance appraisal frameworks as blueprints for bridge quality control
Lifecycle-based discretization of bridge performance indicators
Seismic design of R/C piers of hollow circular cross sections
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