Mr Adam Francis

Tutor,

a.g.francis@swansea.ac.uk

Academic Office - C_215
Second Floor
Engineering Central
Bay Campus

Research Links

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

Taught Modules

EG-152 Analogue Design

The module covers aspects of Engineering Applications for Level 1 students and all aspects of the design process for analogue circuits. It includes preparation, performance and reporting on a structured series of experiments supporting the taught modules at this level and gives practice in using IT packages to assist with report writing.
EG-240 Electronic Circuits

This module introduces circuit elements such as transistors and FETs and shows how they can be used as amplifiers and switches.The amplification and bias conditions for transistor amplifiers are analysed and discussed in detail. Circuit elements necessary for building operational amplifiers such as the long tailed pair and the current mirror are analysed, and a complete circuit for an operational amplifier is discussed. Some applications of operational amplifiers such as the function generator and instrumentation amplifier are introduced with practical applications. Circuits using MOSFETs for logic and analogue switches are described.
EG-252 Group Design Exercise

The module is intended to reinforce aspects of Engineering Applications (EA1) and develop EA2. Advanced features of microcontroller operation are introduced, including interrupts and programming of features of the selected microcontroller. Extended experimental work is carried out as a Group Design Exercise. Practice in using technical IT packages including microcontroller software development and the use of design aids such as PCBs and engineering drawing is inherent. Development of project documentation through a web-site. Concepts of engineering ethics introduced in first year are developed through a formal lecture, and examined as part of the presentation in the final assessment.
EGA223 Electronic Circuits Laboratory

The laboratory modules EGA223 provides a practical experience of some of the material presented in taught modules, including: EG-240 Electronic Circuits: the bipolar transistor, the long tailed pair and the instrumentation amplifier. EG-247 Signals and Systems: digital encoding and digital filters. Experiments on Amplitude Modulation, Frequency Modulation and Digital Modulation are also included to support the two Communications modules later in the degree programme.

Mr Adam Francis

Email address

Research Links

About

Areas Of Expertise

Career Highlights

Publications

Research Highlights

All Research

Journal Articles

Taught Modules

EG-152 Analogue Design

EG-240 Electronic Circuits

EG-252 Group Design Exercise

EGA223 Electronic Circuits Laboratory