Welcome To The Personal Website Of

Dr Milan Lovrić


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About Me

I am a scientific researcher with 10+ years of experience in Agent-Based Modelling and Simulation (ABMS) with applications ranging from financial markets and economics to public transport, road traffic, peak pricing, freight transport, air travel, infrastructure systems, energy, and sustainability.

I have been involved in multidisciplinary research projects at world-leading universities including: MIT (SMART Centre, Singapore), University of Oxford (INET Institute), University College London (Centre for Transport Studies), University of Southampton (Transportation Research Group), and Erasmus University Rotterdam (Rotterdam School of Management).


Ph.D. in Finance

Erasmus University Rotterdam, Erasmus School of Economics
2006 - 2011

DSM (Diploma Study in Management)

University of Zagreb, Faculty of Electrical Engineering and Computing
2004 - 2005

Dipl. ing. (Graduate Engineer) of Computing

University of Zagreb, Faculty of Electrical Engineering and Computing (FER)
1999 - 2005

Ph.D. Thesis
Ph.D. Defense


Transport and Well-Being

For the last two years, I have been working at the University College London on the project AI-TraWell, which investigates the link between urban mobility and health & well-being. A part of this project was working on the design of an AI-powered mobile app which can recommend personalised journey plans that may lead to a more pleasant travel experience.

UK National-Scale Transport Models (Road, Rail, Air)

I spent three years at the University of Southampton as the main developer of NISMOD Transport – a suite of the UK's national-scale transport models for road, rail, and air. This work was part of the EPSRC-funded consortium ITRC that pioneered the use of system-of-systems modelling to support infrastructure policy and planning. NISMOD Transport features the UK's first ever national-scale road traffic model with a state-of-the-art network assignment of car and freight trips.

Modelling for UK Policy

NISMOD's demand prediction and network assignment models have been used to assess the future vehicle electrification scenarios of the UK's path to achieving Net Zero emissions. The model has also been used to simulate local impacts of new transport infrastructure, such as the proposed road expansions and developments in the area known as the Oxford-Cambridge Arc. All NISMOD models are now housed at the UKCRIC's Data & Analytics Facility for National Infrastructure:

Pricing in Public Transport

As a postdoctoral associate at the Singapore-based SMART Centre of MIT, I was able to gain invaluable hands-on experience with cutting-edge transport research including activity-based demand modelling, network assignment and routing algorithms, model calibration, smart card data analysis, and GIS visualisation. Using these technologies, I conducted a case study on off-peak pricing in Singapore's public transport system.

Financial System Instabilities

I was one of the scientific code contributors to the pioneering FP7 project CRISIS (Complexity Research Initiative for Systemic Instabilities), in the capacity of a sponsored visiting researcher at the University of Oxford (INET) and an external consultant to the Santa Fe Institute. During this project, I worked on the implementation of realistic bank bankruptcy resolution mechanisms within an agent-based model of the financial sector.

Sustainable Revenue Management

My first postdoctoral position was at the Rotterdam School of Management, where I developed a decision support system for sustainable revenue management in Dutch and Chinese public transport (metro and high-speed rail). There I also got experience with MATSim (an open-source multiagent transport simulation framework) and smart card data analysis.


University of Southampton

Massachussets Institute of Technology​

Erasmus University Rotterdam


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