Phillip Tretten

Education

• Docent in Operation and Maintenance Engineering (2018)
• PhD in Industrial Design (2011), Luleå University of Technology (Focus on driving performance in relation to cognitive load)
• Technology Licentiate degree in Industrial Design (2008), Luleå University of Technology (Focus on the location and usability of information in relation to in-vehicle locations)
• MSc in Psychology (2005), Luleå University of Technology (Focus on Human Factors)
• BSc in Psychology (1992), Palm Beach Atlantic University

Research

My present research profile builds upon the expressed need for better understanding of maintenance risks using the maintenance systems, e.g. Human Machine Interaction (HMI) of the systems. More specifically, I’ve focused upon the development of guidelines for maintenance systems, to assist operators and maintenance personnel in their decisions. First, by risk analysis and, secondly, recommending and testing development opportunities. The overall goal has been to assist maintenance technicians with easy to use interfaces supporting their knowledge and need for the right information, in the right context, at the right time. This work has focused upon gaining tacit knowledge from the users of the system, that is, learning from them what they already know about, and can communicate it clearly.

More specifically how tacit knowledge, from maintenance technicians, can be learned and applied in intelligent systems. In Autonomous Maintenance, must technical systems and the physical maintenance actions harmonized so to complement each other. So that both explicit and implicit knowledge can be learned for next generation solutions. I have identified two major opportunities in which human intuitive cognition can collaborate with intelligent systems for maintenance solutions; through implicit situation awareness measurement techniques, using cognitive task, and the integration of collaboration concepts in the design of automated systems.

Teaching and Supervision

Involved in teaching courses and supervising theses at the Bachelor, Master and PhD level. This teaching includes Human Factors, Design, Maintenance Engineering, and Maintenance Strategy. Is also active in professional education.

Courses

• Human Factors in Maintenance (D7013B)
• Work environment (X0016T)
• Workplace analysis (A712A)
• Work and organisation on human terms (A0019A)
• Human Factors for Safety in the Workplace (D0019B)
• Senior Design Project in Maintenance Engineering (D0017B)
• Design Science (D7018A)
• MSc thesis Industrial Design (D7014A)
• BSc thesis Maintenance Engineering (X0009B)
• MSc thesis Maintenance Engineering (X7013B)

PhD Supervision

• Stina Prytz - Digital Transformation in Industry: Implications for Physical Workload, Occupational Health, and Organizational Design (2029)
• Henrik Magnusson - Managing Work Environment Strategies in Large-Scale Project Settings (2029)
• Angelo Compierchio - Situational Awareness simulation for supporting inflight
  security (2026)
• Parul Khanna - Maintenance and Industrial AI - Trends and Challenges (2026)
• Ville Rauhala - Reducing failure and downtime caused by maintenance actions
• Magnus Stenberg - Bortom null (2026)
• Niklas Olsson (2024) - Mastering Skills in an Unpredictable World: Simulator Training for Train Drivers
• Kiumars Teymorian (2021) - Integrating Erogonmics in Maintenability Design Process
• Prasanna Illakoon (2020) - Soft Issues of Industry 4.0: A study on human-machine interactions
• Ravdeep Kour (2020) - Cybersecurity in Railway: A Framework for Improvement of Digital Asset Security (2020)
• Esi Saari (2019) - KPI framework for maintenance management through eMaintenance: Development, implementation, assessment, and optimization
• Liangwei Zhang (2016) - Big Data Analytics for Fault Detection and its Application in Maintenance
• Mustafa Aljumaili (2016) - Data Quality Assessment: Applied in Maintenance
• Yamur Aldouri (2016) - Information assurance for maintenance of railway track

Research Projects (selected list)

Vinnova

SMART-MINE - Smart Mining with Augmented Reality for Training and Maintenance

Attrak - A roadmap for attractive, inclusive and safe mine work

OPTIVE - Optimized System Integration for Safe Interaction in Vehicles

Horison 2020 - EU

RemaNet - Remanufacturing Network

NexGen SIMS - Next Generation carbon neutral pilots for smart intelligent mining systems

MORIA: MonItoRing av komplexa tekniska system i stor skala

In2Smart Intelligent innovativt smart underhåll av tillgångar med integrerade tekniker

KK Stiftelsen

Readeem - Forskarskolan

Tillväxtverket

Build Equal

Interreg EU-projekt

Arctic Railway Infrastructure in Kolarctic

Trafikverket

Ett nytt beslutsstödsystem för intelligent underhåll

ePilot - Utveckling av e-Underhållsinfrastruktur

SUN – Natural resources for sustainability transitions

TRANS-MAINT - Transforming Mining Maintenance: Societal and Human Perspectives for a Sustainable Future

More information

LinkedIn

Academic CV pdf, 7.3 MB.