Personal profile


Postgraduate Opportunities

I welcome enquiries from prospective students interested in the following fields of research:

  • Optimal control of batch processes
  • Model predictive control
  • Control of power systems and power electronics systems
  • Multivariate statistical process control (fault detection and diagnosis using statistical methods)


Further information


  • model predictive control
  • multivariate statistical process control
  • process control



Ph.D. - Victoria University of Manchester

B.Eng. (Hons). - Victoria University of Manchester 

My group

Research Group(s)


Ognjen Marjanovic graduated with the First Class honors degree from the Department of Electrical and Electronic Engineering, Victoria University of Manchester (UK) in 1998. He completed his Ph.D. in the field of Model Predictive Control (MPC) in 2002 from the School of Engineering, Victoria University of Manchester (UK).

During the period between 2001 and 2003 Ognjen Marjanovic worked on a number of research projects with Swedish Steel Producers' Association (Jernkontoret) that were concerned with applications of multivariate statistical methods in steel industries. 

Between 2003 and 2005, Ognjen Marjanovic worked as a Knoweldge Transfer Partnership (KTP) associate with Perceptive Engineering Limited. He was responsible for the development of commercial software package, which aims to provide real-time monitoring of batch processes by means of multivariate statistical methods.

On the 1st of August 2006, Dr Marjanovic joined the School of Electrical and Electronic Engineering at the University of Manchester as a Lecturer. His main research focus is to employ valuable control theory ideas and concepts in order to solve operational issues of challenging real-world systems and processes.

On the 1st of August 2012, Dr Marjanovic became Senior Lecturer in the School of Electrical and Electronic Engineering at the University of Manchester.

Research interests

Dr Marjanovic is primarily focused on the applications of control theory to industrial problems. Applications include control, monitoring and optimisation solutions for processes found in the following industry sectors:

  • Pharmaceutical
  • Fine/specialty chemicals
  • Power generation and transmission
  • Wastewater treatment

Areas of control theory and application that are currently researched by Dr Marjanovic include:

  • Optimal control of batch processes
  • Model predictive control
  • Optimisation techniques
  • Statistical analysis of spectral imaging data
  • Multivariate Statistical Process Control (fault detection and diagnosis using statistical methods)
  • Modelling of industrial processes (first-principle and data-driven modelling techniques)

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 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 16 - Peace, Justice and Strong Institutions

Research Beacons, Institutes and Platforms

  • Digital Futures


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