Dimosthenis Kifokeris
Dr. Dimosthenis Kifokeris is Associate Professor in Construction Production and Management of Construction Projects. His main interests include construction production, construction management, construction informatics (machine learning, blockchain/DLT, IoT, and BIM), lean and industrialized construction, sustainability and circularity of site processes, and constructability. Dimosthenis participates in domestic and international collaborative research between the academia and the industry. His interdisciplinary scientific perspectives include labor process theory, organizational theory, strategic management, and data science. In his PhD thesis he utilized supervised and unsupervised machine learning to appraise the constructability of buildings and infrastructural projects through risk analysis. He is currently a member of, among others, CREON, EC3, SBU, SBUF, Lean Forum Bygg, CMB, IALCCE, the Technical Chamber of Greece, various Erasmus+ agreements, and previously of IABSE. He has co-chaired the EC3 2022 PhD Summer School in Rhodes, Greece, in July 18-22, 2022.
Showing 49 publications
Decision-Making Framework for Implementing Blockchain in Building Operations and Maintenance (O&M)
Addressing minority discrimination in a master’s education program for construction management
Human-data interaction in incremental digital twin construction
Blockchain and lean construction: an exploration of bidirectional synergies and interactions
A conceptual framework for lean construction and blockchain synergy
A process-based framework for digital building logbooks
Do what I say, not what I do: increasing the representation of minorities in the construction sector
A mapping of Swedish lean construction variants in practice: review and survey
Little big transitions: electric construction machines in small sites
Heavy-duty construction equipment: dinosaurs of black energy?
Game Theory-Based Minimization of the Ostracism Risk in Construction Companies
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
An analysis of the impartial implementation in practice of risk identification in technical projects
Blockchain in construction – hype, hope, or harm?
Risk source-based constructability appraisal using supervised machine learning
A human touch? How machine learning can improve project performance
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
Bridge quality appraisal methodology: application in the Strimonas Bridge. Case study.
Application of linguistic clustering to define sources of risk in technical projects
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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Showing 14 research projects
Accident prevention through machine learning at a construction contractor
Adapting Cognitive Digital Twins for the Production of Sustainable Modular Houses
Koncept för aktiv kvalitetsstyrning för mindre beställarorganisationer
Lean construction – the current situation
Lean construction – the current situation
A new generation of preventive measures of occupational accidents with machine learning
Quality and self-monitoring as a service
Quality assurance and self-control as a service
Digital business model for large site building logistics