Faculty of Engineering
 

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Minglei You

Assistant Professor, Faculty of Engineering

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Biography

Minglei You received his PhD degree from the University of Durham (U.K.) in 2019 and master degree from the Beijing University of Posts and Telecommunications (China) in 2014. In 2012, he was a short-term visiting student at the University of Electro-Communications (Japan). Since 2014, he has been with the University of Durham as a recipient of the Durham Doctoral Scholarship. From 2019 to 2021, he was a Postdoctoral Research Associate with the Durham University (U.K.) and Loughborough University (U.K.). Since 2021, he has been with the University of Nottingham as an Assistant Professor. His recent research interest includes Internet of Things, Machine Learning for communications, Testbed Design, Smart Grid, cyber security and Integrated Energy Systems. He was recognized as an Exemplary Reviewer for IEEE Wireless Communications Letters.

Teaching Summary

EEEE4119 - Artificial Intelligence and Intelligent Systems

Research Summary

1. Internet of Things with applications for Energy Systems and Vehicular Networks.

2. The integration of AI and advanced Information and Communication Technologies in the Energy System.

3. Artificial Intelligence enabled Integrated Energy Systems.

4. Testbed Design and Prototype Implementation for AI-enabled Wireless Communication Systems and Integrated Energy Systems.

5. Signal Processing for advanced Wireless Communication Networks.

I welcome enquiries from potential PhD candidates from Home, EU and international countries, who are interested in the following research areas: Internet of Things, Integrated Energy System, Multi-vector Energy Systems, Machine Learning, AI, Smart Grid, Signal Processing and Wireless Communication Networks.

There are PhD vacancies and scholarship opportunities are available. Self-funded PhD candidates are welcome.

For general information regarding scholarship information, see the followings:

https://www.nottingham.ac.uk/studywithus/international-applicants/scholarships/research-scholarships.aspx

Please feel free to contact me if you are interested and/or need more information.

Currently there are openings for the following PhD projects:

Project Title: Artificial Intelligence enabled Smart Cities

Project Description:

UK has set a clear target for the net zero carbon emission by 2050, which demands innovation in all sectors of the UK economy. Applicants are invited to undertake a 3 year PhD program with the PEMC group at the University of Nottingham, focusing on the decarbonization via Smart Cities, with the support with the advanced technologies such as Artificial Intelligence (AI), Information technologies (ICT), and Internet of Things (IoT).

This project is related to the development of AI enabled Smart Cities to support the aforementioned tasks with the following actions:

1. Develop The system modelling and analysis for typical Smart City scenarios (such as homes, buildings and roads) with the integration of advanced technologies/applications (such as ICT, IoT, Renewable Energy, EVs, Battery Electrical Systems, Thermal Energy Systems, and Energy Market).

2. Develop AI and numerical based strategies to address the long-standing and foreseeable challenges, such as 1) the forecasting and uncertainty due to renewable energy sources, 2) big data due to ubiquitous sensors and controllers, and 3) proactive energy management strategies based on both historical and real-time energy usage.

3. Develop scalable control algorithms and/or smart energy management strategies, which enables the smart integration and control of the distributed devices in the home/building/road scenarios, as well as new services to encourage more efficient energy consumptions, e.g., incentive schemes like demand side management, and second-life EV batteries.

We are seeking talented candidates with:

1. First or upper second class degree in Electrical and Electronic Engineering, Computer Science or related scientific discipline.

2. First rate analytical and numerical skills, with a well-rounded academic background.

3. Desirable to have good knowledge regarding AI, ICT, IoT, control theory and electrical skills.

4. Background with relevant programming languages and toolboxes, e.g., MATLAB, Python, PyTorch, Keras, and C/C++.

5. A driven, professional and self-motivated work attitude is essential.

6. The ability to produce high quality presentations and written reports.

This is an excellent opportunity to work on novel AI-based solutions to address the decarbonization challenges via IoT, Smart Cities and Energy Systems, with key skills and knowledge in high-impact research and practical applications.

Selected Publications

Future Research

I welcome enquiries from potential PhD candidates from Home, EU and international countries, who are interested in the following research areas: Internet of Things, Integrated Energy System, Multi-vector Energy Systems, Machine Learning, AI, Smart Grid, Signal Processing and Wireless Communication Networks.

There are PhD vacancies and scholarship opportunities are available. Self-funded PhD candidates are welcome.

For general information regarding scholarship information, see the followings:

https://www.nottingham.ac.uk/studywithus/international-applicants/scholarships/research-scholarships.aspx

Please feel free to contact me if you are interested and/or need more information.

Currently there are openings for the following PhD projects:

Project Title: Artificial Intelligence enabled Smart Cities

Project Description:

UK has set a clear target for the net zero carbon emission by 2050, which demands innovation in all sectors of the UK economy. Applicants are invited to undertake a 3 year PhD program with the PEMC group at the University of Nottingham, focusing on the decarbonization via Smart Cities, with the support with the advanced technologies such as Artificial Intelligence (AI), Information technologies (ICT), and Internet of Things (IoT).

This project is related to the development of AI enabled Smart Cities to support the aforementioned tasks with the following actions:

1. Develop The system modelling and analysis for typical Smart City scenarios (such as homes, buildings and roads) with the integration of advanced technologies/applications (such as ICT, IoT, Renewable Energy, EVs, Battery Electrical Systems, Thermal Energy Systems, and Energy Market).

2. Develop AI and numerical based strategies to address the long-standing and foreseeable challenges, such as 1) the forecasting and uncertainty due to renewable energy sources, 2) big data due to ubiquitous sensors and controllers, and 3) proactive energy management strategies based on both historical and real-time energy usage.

3. Develop scalable control algorithms and/or smart energy management strategies, which enables the smart integration and control of the distributed devices in the home/building/road scenarios, as well as new services to encourage more efficient energy consumptions, e.g., incentive schemes like demand side management, and second-life EV batteries.

We are seeking talented candidates with:

1. First or upper second class degree in Electrical and Electronic Engineering, Computer Science or related scientific discipline.

2. First rate analytical and numerical skills, with a well-rounded academic background.

3. Desirable to have good knowledge regarding AI, ICT, IoT, control theory and electrical skills.

4. Background with relevant programming languages and toolboxes, e.g., MATLAB, Python, PyTorch, Keras, and C/C++.

5. A driven, professional and self-motivated work attitude is essential.

6. The ability to produce high quality presentations and written reports.

This is an excellent opportunity to work on novel AI-based solutions to address the decarbonization challenges via IoT, Smart Cities and Energy Systems, with key skills and knowledge in high-impact research and practical applications.

Faculty of Engineering

The University of Nottingham
University Park
Nottingham, NG7 2RD



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