Dimosthenis Kifokeris
I'm Assistant Professor in Construction Production and Management of Construction Projects at Chalmers University of Technology, Department of Architecture and Civil Engineering, Gothenburg, Sweden (02/2019-). My research interests include construction management, construction production, construction informatics (machine learning, blockchain, IoT, and BIM), lean and industrialized construction, sustainability and circularity of site processes, and constructability. I've been participating in domestic and international collaborative research between the academia and the industry. My interdisciplinary scientific perspectives include labor process theory, organizational theory, strategic management, and data science. In my PhD at the Aristotle University of Thessaloniki (AUTh), Greece (07/2014-11/2018), titled "Risk-based Constructability Assessment in Civil Engineering Projects", I implemented unsupervised and supervised machine learning to integrate construction management frameworks. I've formerly been a project researcher and academic assistant at Chalmers (11/2018-01/2019), a researcher for TUD COST Action TU1406 (06/2015-04/2019), and a doctoral researcher and teaching assistant at AUTh (07/2014-11/2018). I've also worked as an engineering consultant and construction manager (2008-2018). I hold a MSc in Engineering Project Management (2013, AUTh), and a MEng in Civil and Structural Engineering (2012, AUTh). I am currently a member of, among others, CREON, SBU, Lean Forum Bygg, CMB, IABSE, IALCCE, EC3, the Technical Chamber of Greece, and various Erasmus+ agreements. I've been publishing and reviewing in top journals and peer-reviewed conference proceedings, and have co-chaired the EC3 2022 Summer School in Rhodes, Greece, in July 18-22, 2022.
Showing 41 publications
Little big transitions: electric construction machines in small sites
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
Addressing minority discrimination in a master’s education program for construction management
A conceptual framework for lean construction and blockchain synergy
Game Theory-Based Minimization of the Ostracism Risk in Construction Companies
Heavy-duty construction equipment: dinosaurs of black energy?
Challenges in the digital transformation of lean design methods: a case study
Swedish lean construction practices identified in the last decade of research
Machine learning for analysis of occupational accidents registration data
Construction planning with machine learning
Risk source-based constructability appraisal using supervised machine learning
An analysis of the impartial implementation in practice of risk identification in technical projects
A human touch? How machine learning can improve project performance
Building Information Models’ data for machine learning systems in construction management
Blockchain in building logistics: emerging knowledge, and related actors in Sweden
Blockchain in construction – hype, hope, or harm?
Application of linguistic clustering to define sources of risk in technical projects
Bridge quality appraisal methodology: application in a reinforced concrete overpass roadway bridge
Bridge quality appraisal methodology: application in the Strimonas Bridge. Case study.
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 13 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