Mehran Eskandari Torbaghan, PhD, MSc, BSc, PGCert, FHEA, MCIHT

Dr.

Accepting PhD Students

PhD projects

Digital twins for Roads
Automated condition assessment of infrastructure systems, e.g. pavement
Risk Assessment and Drainage Systems
Risk Assessment and Railway Engineering, Fault-Tree Analysis and Monte Carlo Simulation
Risk Assessment and Urban Transport

20132022

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Personal profile

Biography

Dr Mehran Eskandari Torbaghan qualified with a BSc in Civil Engineering, from Uromieh University in Iran. He then joined construction industry and worked as a geotechnical engineer for nearly five years. Mehran studied a master's in Construction Management, at the University of Birmingham, graduated with a Distinction. He went on to study for a PhD in Risk Management and Renewable Energy, at the University of Birmingham.

Since his PhD graduation, he was engaged in numbers of research projects on road managing and railway engineering. He was also involved in different teaching activities, including MSc Road Management Programme. His role as a research fellow was started with Assessing the Underworld Project looking into interaction of buried utilities and roads, before moving to Self-Repairing Cities project where he investigated the applications of robots and drones in monitoring and repairing city infrastructure. The last research project that Mehran was involved in as a research fellow was the Climate resilient sustainable road pavement surfacings (CRISPS) project. As part of the CRISPS project, he was demonstrating the technical and economic suitability of three global best-practice road-surfacing technologies for the range of traffic and environmental conditions of high volume roads.

Research interests

Mehran principal research interest lies in the field of smart management of infrastructure systems, investigating the application of robotics and autonomous systems for condition monitoring and repair of urban infrastructure.

His vision is to explore the application of automation techniques including Artificial Intelligence and Machine Learning approaches to inform decision-making in infrastructure asset management, including those related to roads, maintenance type and timing as part of achieving a proactive asset management approach.

Qualifications

  • PhD in Risk Based Approach for Importing Renewable Electricity, University of Birmingham, 2016
  • Postgraduate Certificate in Higher Education (PGCHE), University of Birmingham, Fellowship of Higher Education Academy (FHEA)
  • MSc (Distinction) in Construction Management, University of Birmingham, 2011
  • BSc in Civil Engineering, Uromieh University, Iran, 2005

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 1 - No Poverty
  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 5 - Gender Equality
  • SDG 6 - Clean Water and Sanitation
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 14 - Life Below Water
  • SDG 15 - Life on Land
  • SDG 16 - Peace, Justice and Strong Institutions
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Doctor of Engineering, University of Birmingham

Award Date: 1 Jun 2016

Master of Science, University of Birmingham

Award Date: 1 Oct 2011

Bachelor of Science in Engineering, Uromieh University

Award Date: 2 Jan 2005

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