Dr Sunday Atuba

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Role:

Senior Lecturer in Electronic Engineering

Department staff:

FET - Engineering, Design and Mathematics

Teaching staff:

Qualifications:PhD, CEng MIET, SFHEA, PgCAPHE, MBA
Position:Senior Lecturer in Electronic Engineering
Department:FET - Engineering, Design and Mathematics
Email:Sunday.Atuba@uwe.ac.uk

About me

Dr. Sunday Atuba is a senior lecturer in Electrical and Electronic Engineering at the University of the West of England, Bristol. He has a broad technical background and experience in analytical and numerical modelling, physics, control systems, sensors and instrumentation, robotics, cloud computing, and embedded systems.

He is a senior fellow of the Higher Education Academy (SFHEA), a chartered engineer (CEng) with the Institution of Engineering and Technology (IET), an MBA from Aberdeen Business School and a PhD in Optical Engineering from the University of Aberdeen, Scotland. He has championed and collaborated with various industries on different engineering-based projects that revolve around energy, telecommunication, medical/biosensors, control systems, and instrumentation. He has also led teams in diverse curriculum areas in the higher education industry and has facilitated and led teaching and learning activities across three continents: Africa, Asia, and Europe.

He is a peer reviewer with UK Research and Innovation (UKRI) / Engineering and Physical Sciences Research Council (EPSRC), AdvanceHE’s Teaching Excellence Fellowship Scheme (NFTS), Journal of Optics, Science Publishing Group, and an external examiner to some universities in the UK.

His research areas/interests include sensors and instrumentation, control systems, fibre lasers, Lab-on-a-chip, solitons, spectroscopy, optoelectronics, pulse compression, nonlinear fibre optics, ultrashort pulses, computational photonics, and integrability aspects of nonlinear partial differential equations.

Dr. Atuba is currently accepting PhD students.

Current and Future PhD Research Topics include:

-Chip Integrated Biosensors for Disease Diagnosis

- Fibre Sensor-Based Technique for Crude Oil Characterization

Area of expertise

Sensors and instrumentation, control systems, robotics, solitons, nonlinear fiber optics, ultrashort pulses, computational photonics, and integrability aspects of nonlinear partial differential equations

Publications

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