Welcome to the personal website of

Dr Milan Lovrić

MilanLovric

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About Me

I am a scientific researcher with two decades of experience in applied Agent-Based Modelling and Simulation (ABMS). My work spans a wide range of domains – from financial markets and economics to public and private transport, infrastructure systems and sustainability. More recently, I have broadened my research portfolio to cover the emerging topics of automotive perception sensors and Connected and Autonomous Vehicles (CAVs).

Throughout my career I have contributed to numerous multidisciplinary projects at world-leading, research-intensive universities, among them:

Education

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

Research

Perception Sensors for Intelligent Vehicles

Currently, I research intelligent vehicles perception sensors as an Assistant Professor at the Queen Mary University of London, (previously at the University of Warwick). The projects aim to evaluate the performance of different automotive sensor technologies (e.g., LiDAR, camera, 4D radar etc.) under adverse weather conditions and other noise factors. Their robust performance is key to enabling safe autonomous and assisted driving.

Sim4CAMSens - Innovate UK

Automated Transport

I spent two years researching the future of automated transport as part of the LivingLAPT project at the University College London. The project's goal was to understand user acceptance of automated transport through surveys conducted during real-life deployments of automated shuttles. I also lead human-subject experiments to examine the safety of interaction between automated vehicles and vulnerable road users, such as pedestrians, cyclists, and e-scooter riders.

LivingLAPT - EIT Urban mobility

Transport and Well-Being

For two years at the University College London I worked on the project AI-TraWell, investigating the link between urban mobility and health & well-being. Part of this project involved designing an AI-powered mobile app that recommends personalised journey plans that can lead to a more pleasant travel experience.

AI-TraWell - EIT Urban mobility

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

I spent three years at the University of Southampton as the lead developer of NISMOD Transport – a suite of UK 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 all car and freight trips.

ITRC - The Infrastructure Transitions Research Consortium

Modelling for UK Policy

NISMOD's demand prediction and network assignment models have been used to assess future vehicle electrification scenarios for the UK's Net Zero pathway and to simulate local impacts of new transport infrastructure, such as the proposed road expansions and developments in the Oxford-Cambridge Arc. All NISMOD models are now housed at the UKCRIC's Data & Analytics Facility for National Infrastructure, supporting evidence-based transport planning.

DAFNI - Data & Analytics Facility for National Infrastructure

Pricing in Public Transport

As a postdoctoral associate at the Singapore-based SMART Centre of MIT, I was immersed in 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 tools and technologies, I conducted a case study on off-peak pricing in Singapore's public transport system.

YouTube - Singapore Free MRT Case Study

Financial System Instabilities

I contributed scientific code 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 implemented realistic bank-bankruptcy resolution mechanisms within an agent-based model of the financial sector.

GitHub - The Complexity Research Initiative for Systemic InstabilitieS

Sustainable Revenue Management

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

Article - Decision Support Systems, Elsevier

Artificial Financial Markets

I earned my Ph.D. from Erasmus University Rotterdam (Erasmus School of Economics) as part of the prestigious ERIM doctoral programme in business and management. The topic of my thesis was Behavioural Finance and Agent-Based Artificial Markets, which involved building simulations of financial markets to study market-wise implications of individual investors' behavioural biases.

Ph.D. Thesis - Erasmus University Repository

Teaching

Queen Mary University of London

University of Warwick

University of Southampton

Massachussets Institute of Technology​

Erasmus University Rotterdam

Contact

Please feel free to reach out for joint research or speaking engagements. Connect with me on LinkedIn!

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