Cardiff School of Technologies>Staff Profiles>Seyed Mohammad Mahdi Alavi
Dr Seyed Mohammad Mahdi Alavi

Dr Seyed Mohammad Mahdi Alavi

Lecturer

Department: Department of Applied Computing and Engineering

Office/Location: Cardiff School of Technologies, Llandaff Campus

Telephone:  

Email: malavi@cardiffmet.ac.uk

Staff Profile Overview

S.M.Mahdi Alavi joined Cardiff Met in February 2021. He received the BASc and MASc degrees in Electrical Engineering from K. N. Toosi University of Technology, and the PhD degree from the University of Limerick.

He was an Assistant Professor at Shahid Beheshti University in Tehran, Iran. He has experience working as a visiting faculty and researcher in multidisciplinary and diverse groups at world's top engineering and medical schools such as Duke University’s School of Medicine, University of Oxford’s School of Engineering, and the University of British Columbia’s Faculty of Medicine. 

He studies and develops control theory for emerging applications in energy and biomedical systems.   

Teaching

In Control:

  • Industrial Control 
  • Modern Control 
  • Advanced Mechatronics

In Energy Systems:

  • Battery Energy Storage Systems
  • Control in Power Electronics 
  • Power Supplies and Chargers 
  • Power Electronics in Battery Management Systems 

In Biomedical Systems:

  • Introduction to Transcranial Magnetic Stimulation 

So far, he supervised 1 Post-doc, and 5 Masters theses, and a number of undergraduate and volunteer students.

Research

In control: 

  • Robust control
  • Decentralized control
  • Multivariable Control
  • Fault Diagnosis
  • System identification

In energy systems: 

  • Battery energy storage systems
  • Power electronics
  • Grid integration problems, etc.

Biomedical systems: 

  • Non-invasive brain stimulation
  • Transcranial magnetic stimulation
  • Transcranial electric stimulation

Key Publications

R Naghash, SMM Alavi, E Afjei, “Robust Control of Wireless Power Transfer Despite Load and Data Communications Uncertainties,” IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021 (In Press). 

E. Sadeghi, MH Zand, M Hamzeh, M Saif, SMM Alavi, “Controllable Electrochemical Impedance Spectroscopy: From Circuit Design to Control and Data Analysis,” IEEE Transactions on Power Electronics, 35(9), pp. 9935 – 9944, 2020.

SMM Alavi, SM Goetz, AV Peterchev, “Optimal estimation of neural recruitment curves using Fisher information: Application to Transcranial Magnetic Stimulation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(6), pp. 1320 – 1330, 2019.

M Sedighizadeh,  AH Mohammadpour, SMM Alavi, “A daytime optimal stochastic energy management for EV commercial parking lots by using approximate dynamic programming and hybrid Big Bang Big Crunch algorithm”, Sustainable Cities and Society, 45, pp. 486 – 498, 2019.

E Jacob, SMM Alavi, A Mahdi, SJ Payne, DA Howey, “Bayesian inference in non-Markovian state-space models with applications to fractional order battery systems”, IEEE Transactions on Control Systems Technology, 26(2), 497-506, 2018.

SMM Alavi, A Mahdi, SJ Payne, DA Howey, “Identifiability of generalised Randles circuit models”, IEEE Transactions on Control Systems Technology, 25(6), 2112 – 2120, 2017.

B Labibi, SMM Alavi, “Inversion-free decentralised quantitative feedback design of large-scale systems”, International Journal of Systems Science, 47(8), 1772-1782, 2016.

SMM Alavi, CR Birkl, DA Howey, “Time-domain fitting of battery electrochemical impedance models,” Journal of Power Sources, 288, pp 345 – 352, 2015.

SMM Alavi, M Saif, “Fault Detection in Nonlinear Stable Systems Over Lossy Networks,” IEEE Transactions on Control Systems Technology, 21(6), pp. 2129 – 2142, 2013.

SMM Alavi, MJ Walsh, MJ Hayes, “Robust distributed active power control technique for IEEE 802.15.4 wireless sensor networks – A quantitative feedback theory approach”, Control Engineering Practice, 17(7), pp. 805-814, 2009. 

Other Projects and activities

External Links