ABIODUN AYODEJI


Research Associate in Nuclear Control and Instrumentation,

Nuclear Instrumentation and Control Engineering Group,

Nuclear Futures Institute,

Bangor University, Wales, UK.


You are welcome to explore this page.


If you have any enquiries, please send an email: a[DOT]ayodeji[AT]bangor[DOT]ac[DOT]uk

Biography

I received my Bachelor's degree in Electrical Engineering from the University of Ilorin, Nigeria, in 2007. I received my Ph.D in Nuclear Engineering from the College of Nuclear Science and Technology, Harbin Engineering University, Harbin, China, in 2020. I have worked on R&D projects both in the government and academia, and I was a funded visiting scholar at the Middlebury Institute of International Studies, Monterey, USA; ROSATOM Technical Academy, Obninsk, Russia, and at the International Centre for Theoretical Physics, Trieste, Italy.

I am currently a Research Associate in Nuclear Instrumentation and Control at the Nuclear Futures Institute, Bangor University, Wales, UK. My research focuses on the development and utilization of data-driven and physics-based models for intelligent control, fault diagnosis, predictive maintenance, process optimization, cybersecurity, and human operators’ decision support. My work is geared towards improving the safety, security, and efficiency of low-carbon power production and enhancing the load-following capability of next-generation nuclear reactors.

My current work is funded by the European Regional Development Fund through the Welsh Government, and my research interests include:

· Industrial AI

· Resilient control of low-carbon energy sources

. Modelling and Simulation

· Intelligent machinery fault diagnosis, prognosis, and predictive maintenance

· Cyber-physical security of industrial control systems

· Multi-objective process optimization

· Fissile material security and safeguard


Selected Publication Full Publication List


An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction

Abiodun Ayodeji, Wenhai Wang, Jianzhong Su, Jianqua Yuan, Xinggao Liu

arXiv, 2021

[Page]


Causal augmented ConvNet: A temporal memory dilated convolution model for long-sequence time series prediction

Abiodun Ayodeji, Zhiyu Wang, Wenhai Wang, Weizhong Qin, Chunhua Yang, Shenghu Xu, Xinggao Liu

ISA Transaction, 2021

[Page]

Safety Assessment of AP1000: Common Transients, Analysis Codes and Research Gaps

Samuel Abiodun Olatubosun, Abiodun Ayodeji, Muritala Alade Amidu

Nuclear Engineering and Design, 2021.

[Page]

SVR Optimization with Soft Computing Algorithms for Incipient SGTR Diagnosis

Abiodun Ayodeji, Yong-kuo Liu

Annals of Nuclear Energy, 2018.

[Page]

Remaining Useful Life Prediction Techniques for Electric Valves Based on Convolution Auto Encoder and Long Short Term Memory

Hang Wang, Min-jun Peng, Zhuang Miao, Yong-kuo Liu, Abiodun Ayodeji, Chengming Hao

ISA transactions, 2020.

[Page]

Knowledge Base Operator Support System for Nuclear Power Plant Fault Diagnosis

Abiodun Ayodeji, Yong-kuo Liu, Hong Xia

Progress in Nuclear Energy, 2018.

[Page]

Experience

2022 - now

Research Associate in Nuclear Control and Instrumentation, Nuclear Instrumentation and Control Engineering Group, Nuclear Futures Institute, Bangor University, Wales, UK.

2020 - 2022

Postdoctoral Research Fellow, State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China.

2016- 2020

PhD Program at Harbin Engineering University, Harbin, China.

2009 - 2016

Research Engineer, Nigeria Atomic Energy Commission, Abuja, Nigeria.

Honors and Awards

2020

Exemplary Student Award (三好学生). Harbin Engineering University.

2020

Best Graduating Student Award. Harbin Engineering University.

2019

Merit Student Award.

Awarded by the College of International Cooperative Education, for excellent academic performance, innovation and social services.

2018

Outstanding Contribution Award. Harbin Engineering University.


2016

Chinese Government Scholarship.