S.M.Mahdi Alavi

(Apr. 2022 – Present) Battery State Estimation Engineer
    Automotive R&D Center, Stellantis (Fiat-Chrysler)

(Sep. 2019 – Present) Affiliate Member
    Noninvasive Neurostimulation Therapies (NINET) Lab
    Department of Psychiatry, University of British Columbia  

(Apr. 2017 – Apr. 2022) Assistant Professor
    Cardiff Metropolitan University, Shahid Beheshti University

(Mar. 2014 – Apr. 2017) Post-Doc Researcher
    University of Oxford, Duke University, University of Calgary


Research Summary

I have demonstrated track record and experience in the design of condition monitoring and control systems for transportation electrification and neural engineering. 

In transportation electrification, my research is in battery modeling & monitoring, power electronics (impedance spectroscopy and wireless power transfer), and grid integration problems.

In neural engineering, my research is in non-invasive brain stimulation with a focus on closed-loop automated and optimal transcranial magnetic stimulation (TMS)

During my PhD and first post-doc experience, I worked on wireless sensor networks (WSNs), and their application in networked monitoring systems.

I designed and taught a range of courses in these areas. I supervised 5 Masters theses, and co-authored over 45 peer-reviewed papers.

Recent Papers:

  • SMM Alavi, A Mahdi, F Vila-Rodriguez, SM Goetz, “Identifiability analysis and noninvasive online estimation of the first-order neural activation dynamics in the brain with closed-loop transcranial magnetic stimulation,” IEEE Trans on Biomedical Engineering, 2023 (In Press).
  • M Abareshi, M Hamzeh, S Farhangi, SMM Alavi, “Robust Control of a Forward-Converter Active Battery Cell Balancing,” IET Power Electronics, 2023 (In Press).
  • SMM Alavi, F Vila-Rodriguez, A Mahdi, SM Goetz, “Closed-loop optimal and automatic tuning of pulse amplitude and width in EMG-guided controllable transcranial magnetic stimulation,” Biomedical Engineering Letters, 2023 (In Press). 

Sample Videos

Controllable Electrochemical Impedance Spectroscopy (cEIS)

Robust Control of Wireless Power Transfer System

TMS ioFit using Optimal Sampling

TMS Lab Test