Mr Adam Francis

Research Assistant

Electronic and Electrical Engineering

a.g.francis@swansea.ac.uk

Fluent Welsh Speaker

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About

Adam Francis is a Teaching Tutor and PhD Researcher at Swansea University within the department of Electronic and Electrical Engineering (EEE).

Adam’s research interests entail robotics and automation, including the design and build of mobile robot platforms for environmental monitoring applications. His PhD project is focussed on the development of robots capable of gas leakage detection and real-time pollution monitoring in outdoor industrial environments.

Adam has contributed to the teaching of a wide range of modules across the Faculty of Science and Engineering, including core EEE modules such as EG-150 Signals and Systems and EG-241 Electrical Machines. He has also had an active role in the design and delivery of EGA366 Kinematics and Programming for Robots, a module which introduces the modelling of different types of mobile robots and their path planning strategies.

Areas Of Expertise

Robotics and Automation
Machine Learning and Optimisation
Circuit Design and Analysis
Machine Design and 3D Printing.
Programming and the Robot Operating System (ROS)

Career Highlights

Teaching Interests

Adam has contributed to the teaching and assessment of the following modules:

• EG-150 Signals and Systems
• EG-151 Microcontrollers
• EG-152 Analogue Design
• EGP200 Year 2 Mechanical Practical
• EG-219 Statistical Methods in Engineering
• EGA223 Electronic Circuits Laboratory
• EG-240 Electronic Circuits
• EG-241 Electrical Machines
• EG-252 Group Design Exercise
• EGA366 Kinematics and Programming for Robot

Publications

Research Highlights

Francis, A., Li, S., Griffiths, C., & Sienz, J. (2022). Gas source localization and mapping with mobile robots: A review. Journal of Field Robotics, 39(8), 1341-1373.
https://doi.org/10.1002/rob.22109, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60541
http://dx.doi.org/10.1002/rob.22109
Khan, A., Cao, X., Liao, B., & Francis, A. (2022). Bio-inspired Machine Learning for Distributed Confidential Multi-Portfolio Selection Problem. Biomimetics, 7(3), 124
https://doi.org/10.3390/biomimetics7030124, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60996
Chen, Z., Francis, A., Li, S., Liao, B., Xiao, D., Ha, T., Li, J., Ding, L., & Cao, X. (2022). Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization. Biomimetics, 7(4), 144
https://doi.org/10.3390/biomimetics7040144, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62232
Yi, Z., Cao, X., Pu, X., Wu, Y., Chen, Z., Khan, A., Francis, A., & Li, S. (2023). Fraud detection in capital markets: A novel machine learning approach. Expert Systems with Applications, 231, 120760
https://doi.org/10.1016/j.eswa.2023.120760, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63635
http://dx.doi.org/10.1016/j.eswa.2023.120760
Cao, X., Francis, A., Pu, X., Zhang, Z., Katsikis, V., Stanimirovic, P., Brajevic, I., & Li, S. (2023). A novel recurrent neural network based online portfolio analysis for high frequency trading. Expert Systems with Applications, 233, 120934
https://doi.org/10.1016/j.eswa.2023.120934, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63868
http://dx.doi.org/10.1016/j.eswa.2023.120934

All Research

Journal Articles

Cao, X., Francis, A., Pu, X., Zhang, Z., Katsikis, V., Stanimirovic, P., Brajevic, I., & Li, S. (2023). A novel recurrent neural network based online portfolio analysis for high frequency trading. Expert Systems with Applications, 233, 120934
https://doi.org/10.1016/j.eswa.2023.120934, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63868
http://dx.doi.org/10.1016/j.eswa.2023.120934
Yi, Z., Cao, X., Pu, X., Wu, Y., Chen, Z., Khan, A., Francis, A., & Li, S. (2023). Fraud detection in capital markets: A novel machine learning approach. Expert Systems with Applications, 231, 120760
https://doi.org/10.1016/j.eswa.2023.120760, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63635
http://dx.doi.org/10.1016/j.eswa.2023.120760
Francis, A., Li, S., Griffiths, C., & Sienz, J. (2022). Gas source localization and mapping with mobile robots: A review. Journal of Field Robotics, 39(8), 1341-1373.
https://doi.org/10.1002/rob.22109, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60541
http://dx.doi.org/10.1002/rob.22109
Chen, Z., Francis, A., Li, S., Liao, B., Xiao, D., Ha, T., Li, J., Ding, L., & Cao, X. (2022). Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization. Biomimetics, 7(4), 144
https://doi.org/10.3390/biomimetics7040144, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62232
Khan, A., Cao, X., Liao, B., & Francis, A. (2022). Bio-inspired Machine Learning for Distributed Confidential Multi-Portfolio Selection Problem. Biomimetics, 7(3), 124
https://doi.org/10.3390/biomimetics7030124, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60996