• 297 Citations
  • 8 h-Index

Research output per year

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Personal profile


Dr Arash M. Dizqah is currently a senior lecturer in Intelligent Transport Systems at the School of Mechanical, Aerospace and Automotive Engineering, which he joined after about 2 years of experience as a post-doctoral research fellow with University of Surrey. He is also a member of the Centre for Mobility and Transport (CMTR) at Coventry University.

He received BSc and MSc degrees in electrical engineering from Sharif and KN Toosi Universities of Technology, Tehran, Iran, in 1998 and 2001, respectively, and a Ph.D. degree from Northumbria University, U.K., in 2014. Before starting his PhD, he used to work as an embedded systems (software and hardware) developer and architect for about 10 years.

His research interests lie in control and optimisation with applications in transportation and renewable energy systems. He is particularly interested in real-time implementation and experimental testing of nonlinear optimisation-based controllers for the applications like electric/hybrid vehicles and wind turbines. The optimisation-based strategies, such as model predictive controllers, handle nonlinearities, uncertainties and constraints in a systematic fashion.

Arash is a founding member of the Smart Vehicles Control Laboratory (SVeCLab), within CMTR, focusing on model-based optimal design and energy management of hybrid electric/electric vehicles and advanced control strategies for connected autonomous vehicles.

He is a member of institute of electrical and electronics engineering (IEEE) and institution of engineering and technologies (IET).

His Google Scholar is available here

Area of Expertise:

  • Non-Linear Model Predictive Controllers (NMPC)
  • Control Allocation for Over-Actuated Systems
  • Non-Linear Optimisation – Theories, algorithms and applications
  • Multi-parametric Non-Linear Optimisation (mp-NLP)
  • Mathematical Modelling of Hybrid Dynamical Systems
  • Modelling and Simulation of Multi-Disciplinary Systems using Modelica
  • Intelligent Energy Management Systems for Hybrid Renewable Energy Systems
  • Embedded Software Development

Research Interests

Autonomous Vehicles; Optimisation and Control; Electric and Hybrid Autonomous Vehicles; Renewable Energy Technologies and Control; Vehicle-To-Grid (V2G) Control Strategies (Smart Grids); Energy-Efficient Control Allocation Strategies for Over-Actuated Nonlinear Systems

Education/Academic qualification

Control Engineering, Doctorate, Northumbria University

18 Feb 20111 Feb 2014

Electrical Engineering, MSc, K.N.Toosi University of Technology

1 Sep 19981 Mar 2001

Electrical Engineering, MEng, Sharif University of Technology

1 Sep 19941 Sep 1998

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Research Output

  • 297 Citations
  • 8 h-Index
  • 8 Article
  • 5 Conference proceeding
  • 1 Chapter
Open Access
  • 16 Citations (Scopus)
    92 Downloads (Pure)

    Fast Energy-Efficient Torque Distribution Amongst Multiple Drivetrains

    Dizqah, A. M., Blundell, M., Vantsevich, V., Kanarachos, S. & Ballard, B., 25 Sep 2017, Proceedings of the 19th International & 14th European-African Regional Conference of the ISTVS. Budapest, Hungary: International Society for Terrain-Vehicle Systems, p. (in press) 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

  • Torque Distribution Strategies for Energy-Efficient Electric Vehicles with Multiple Drivetrains

    Lenzo, B., De Filippis, G., Moradinegade Dizqah, A., Sorniotti, P., Gruber, P., Fallah, S. & De Nijs, W., 9 Aug 2017, In : Journal of Dynamic Systems, Measurement and Control. 139, 12, 13 p., 121004.

    Research output: Contribution to journalArticle

    Open Access
  • 17 Citations (Scopus)
    29 Downloads (Pure)

    A Fast and Parametric Torque Distribution Strategy for Four-Wheel-Drive Energy-Efficient Electric Vehicles

    Moradinegade Dizqah, A., Lenzo, B., Sorniotti, A., Gruber, P., Fallah, S. & De Smet, J., Jul 2016, In : IEEE Transactions on Industrial Electronics. 63, 7, p. 4367 - 4376 10 p.

    Research output: Contribution to journalArticle

    Open Access
  • 60 Citations (Scopus)
    57 Downloads (Pure)
    Open Access
  • 78 Citations (Scopus)
    80 Downloads (Pure)