Dr Kamyar Mehranzamir

• Qualifications:PhD, MSc, BSc (Hons) in Electrical Engineering | Chartered Engineer (CEng) MIET (UK) | Postgraduate Certificate in Higher Education (PGCHE - UK) | Fellow of the Higher Education Academy (FHEA - UK) | Senior Member of IEEE (SMIEEE - US)
• Position:Lecturer in Electrical and Electronic Engineering
• Department:FET - Engineering, Design and Mathematics
• Telephone:+441179656261
• Email:Kamyar.Mehranzamir@uwe.ac.uk
• Social media:

About me

Kamyar is an Electrical and Electronic Engineering lecturer with over 10 years of experience in academia and industry. His expertise includes renewable energy systems, lightning locating systems, artificial intelligence applications, and advanced optimization techniques. He is a senior member of IEEE (SMIEEE), a member of IET (MIET), a Chartered Engineer (CEng), and a Fellow of the Higher Education Academy (FHEA).

Kamyar has an accomplished record of publications, including articles in peer-reviewed journals, book chapters, and conference proceedings at esteemed international venues. His work has earned multiple awards for research and innovation, which include gold, silver, and bronze medals for pioneering projects such as dual-axis solar tracking systems, IoT-enabled smart energy meters, and hybrid renewable energy system optimization software.

Kamyar has also contributed to industrial projects, notably developing technical guidelines for photovoltaic system design in residential and commercial applications in the Middle East. He has received multiple teaching and research excellence awards and holds a Postgraduate Certificate in Higher Education (PGCHE) from the University of Nottingham. His teaching philosophy emphasizes equipping students with up-to-date technical knowledge, fostering critical thinking, and nurturing industry-ready skills. Kamyar has supervised over 70 undergraduate, postgraduate, and PhD/research students on various projects in electrical engineering, renewable energy, and artificial intelligence.

Research Achievements:

Authored or co-authored more than 60 peer-reviewed publications presented at leading international conferences, book chapters, and journals.

https://scholar.google.com/citations?user=fBmkbZ4AAAAJ&hl=en

Recipient of multiple research and innovation awards, including:

1-Gold Medal, Single Station Lightning Locating System product, 2013.

2-Gold Medal Lightning Locating System product, 2015.

3-Bronze Medal, Auto-reclosed RCD device, 2016.

4-Bronze Medal, Computer-Based Software for Optimal Sizing of Hybrid PV/Wind Systems, 2016.

5-Silver Medal, GSM Based Smart Energy Meter Device, 2021.

6-Gold Medal, Smart Online/Offline Dual-axis Solar Tracking System Product, 2022.

7-Bronze Medal,  IOT Based Cost-Effective Smart Energy Meter, 2022.

8-Bronze Medal, Smart Voltage Fluctuation Monitoring and Protection System, 2023.

9-Silver Medal, Improving Misalignment Tolerance for Wireless Power Transfer Systems using LCC-LCC Compensation Network Resonant Converter, 2023.

Grants:

He has played a pivotal role in securing and managing research funding and contributing to groundbreaking projects in engineering and renewable energy. Notable achievements include his involvement as a project member in the Development of Intelligent Condition Monitoring of High-Voltage Devices in 2012, a project focused on enhancing the reliability and performance of HV systems. He also contributed to the E-SCIENCE Fund (30000 USD), supported by Malaysia's Ministry of Science, Technology, and Innovation (MOSTI), which advanced critical research in science and technology. Additionally, he served as a contributor in 2016 for a project to prepare and compile technical specifications for designing photovoltaic systems for residential and commercial buildings. This work helped set industry benchmarks for solar energy deployment.

Area of expertise

• Energy management systems, including IoT-based smart energy solutions

• Switch-mode power supply (SMPS) design and Embedded Systems

• Power generation, transmission, and distribution

• Power electronics and advanced control techniques in power systems

• Renewable energy systems, including photovoltaic (PV) and hybrid systems

• Lightning locating systems using advanced optimization and AI techniques

• Artificial intelligence and computational optimization applications in electrical and energy engineering

Publications

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