Calculated based on number of publications stored in Pure and citations from Scopus
20142025

Research activity per year

Personal profile

Personal profile

Dr. Wang Shuo received Ph.D. degree in control science and engineering from Tongji University in 2019, From 2017 to 2018, he became a visiting researcher with Power Electronics, Machines and Control Group (PEMC Group), University of Nottingham, Nottingham, U.K. From 2020 to 2024, he worked as senior research fellow in Department of Electrical and Electronic Engineering, university of Nottingham, Ningbo, China (UNNC).  He is currently working as an assistant professor in Nottingham Ningbo China Beacon of Excellence Research and Innovation Institute (CBI) in university of Nottingham, Ningbo, China (UNNC).

 

His current research interests include high performance control strategy used for permanent magnet synchronous machines(PMSM), synchronous reluctance machines(SynRM) , permanent magnet-assisted synchronous reluctance machines(PMaSynRM) and switch reluctance machine (SRM). He is also interested in the topic such as open-winding motor control (OWPMSM) and multiphase-motor control.

Dr. Shuo Wang is IEEE senior member and he serves as reviewer of the following journals:

  • IEEE Transactions on Industrial Electronics.
  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Energy Conversion
  • IEEE Open Journal of the Industrial Electronics Society
  • IEEE Transactions on Transportation Electrification
  • IEEE Transactions on Vehicular Technology
  • IEEE Journal of Emerging and Selected Topics in Power Electronics
  • IET Power Electronics
  • IET Electric Power Application

Research Interests

Dr.Wang Shuo is engaged in non-rare-earth high-efficiency motor manufacturing, optimization, and control used in Electric vehicles, household appliances, and etc. Especially, he is focusing on some new types of reluctance motors, such as synchronous reluctance machines (SynRM), Ferrite-assisted synchronous reluctance machines (PMaSynRM), and switch reluctance machines(SRM).

The research targets at: 

· Power electronics topology structure

· Advanced control strategy used for motor control

· Multi-objective algorithm for motor optimization

· Transportation Electrification

Collaboration Opportunities

Focusing on the dual carbon policy, we explore solutions for energy-saving motors with none or less rare-earth materials and we are committed to create  '''green motors'' and ''smart drive'' for the industrialization.

 

Some graduated PhD students:

Ahmed Albashir Abdelrauf Gabr Aboelhassan (Co-supervisor, 15/09/18 → 15/10/23), “Model Predictive Control Of Electromagnetic Torque In Permanent Magnet Synchronous Machines” (Completed)

Xuanyi Zhou (Co-supervisor, 15/05/20 → 16/11/24), “Improved Controls for Extended Range Operations of Permanent Magnet Synchronous Generator Systems” (Completed)

 

Looking forward to domestic and international collaboration.

Looking for PhD candidates, feel free to contact me.

Teaching

He is the module convener of the following courses:

  • Analogue Electronics EEEE3102  (2022.9-2023.1)
  • Practical Engineering Design Solutions and Project Development EEEE2059 (2022.9-2023.6)
  • Applied Electrical and Electronic Engineering: Construction Project EEEE1039 (2025.2-2025.6)
  • Final Year Project coordinator EEEE3056 (2025.2-2025.6)

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 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth

Education/Academic qualification

PhD in Control science and Engineering, Tongji university, Tongji University

1 Sept 201419 Mar 2019

Award Date: 19 Mar 2019

Master in Control Science and Engineering, Tianjin university, Tianjin University

1 Sept 201119 Jan 2014

Award Date: 19 Jan 2014

Disciplines

  • Electrical Engineering
  • Control Science and Engineering

Person Types

  • Staff

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