Hello, I’m

Dr Jordan J. Bird

I am a Researcher.

 

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About Me

Dr Jordan J. Bird is a Research Fellow with the Computational Intelligence and Applications Research Group (CIA) within the Department of Computer Science at Nottingham Trent University. Before that, he studied for a PhD in Human-Robot Interaction at Aston University. Jordan’s research interests include Artificial Intelligence (AI), Human-Robot Interaction (HRI), Machine Learning (ML), Deep Learning, Transfer Learning, and Data Augmentation.

Jordan Bird at Brum AI
Giving a talk on Artificial Intelligence at Brum AI during Birmingham Tech Week
Presenting a paper at the SAI Computing Conference 2019

Staff profile photo
Graduating from Aston University with my PhD.

Curriculum Vitae

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Professional Experience

Apr 2022 – Present

Hourly Paid Lecturer

Nottingham Trent University

In addition to my roles as a Research Fellow and Robotics Lab Lead, I am also an Hourly Paid Lecturer (HPL) at Nottingham Trent University. I supervise MSc Computer Science and MSc Data Science students on carrying out their research project and thesis.

Details on the projects can be found at: https://jordanjamesbird.com/#/teaching-student-supervision

Oct 2021 – Present

Research Fellow and Lab Lead

Nottingham Trent University

As a Research Fellow with the Computational Intelligence and Applications Research Group (CIA), my duties involve conducting and publishing scientific research, exploring opportunities for external research funding, and forming professional relationships with likeminded colleagues within NTU and at other institutions for potential collaboration. In addition, I provide Artificial Intelligence knowledge within a multidisciplinary team towards Knowledge Transfer Partnerships (KTP), and I am also responsible for supervising MSc Computer Science projects.

In April 2022 I was appointed as the lab lead by the Head of Department.

Staff profile: https://www.ntu.ac.uk/staff-profiles/science-technology/jordan-bird

Jul 2018 – Aug 2021

Teaching Assistant

Aston University

Leading distance learning teaching sessions for the Capgemini Degree Apprenticeship Programme while studying for a PhD in Computer Science, I am responsible for the following modules:

  • Human Computer Interaction
  • Geographic Information Systems

On campus, I am also a Lab Session Lead for the following modules:

  • Computer Graphics (Second Year)
  • Computational Intelligence (Final Year) – Neural Networks

Jun 2018

Robot Engineer

Aston University

Contract work in preparation for the CompTIA 2018. Developed an app for a Softbank Robotics Pepper robot that would read business cards, detect text, and extract human names in order to greet visitors.

Sep 2017 – May 2018

Teaching Assistant

Aston University

Provided effective and professional teaching support for the following modules:

  • Java Programming Foundations
  • Computational Reasoning and Communication

Nov 2016 – Nov 2017

Web Developer

The Marketing People

As part of TMP, I was a member of a team whose goal it is to work with clients to create an online presence to gain new business from the internet. This is usually one segment of an entire marketing strategy and campaign built around both brand development and awareness via bespoke e-media and print products.

May 2016 – Sep 2016

EVM Officer

Education & IT

At EdIT, I was an IT Technician who project managed, configured, and finally installed Electronic Visitor Management Systems for schools and businesses across the UK – these were digital interfaces that replaced the traditional pen and paper signing in system. I also worked in web and app development to improve the system, engineering the possibilities of iOS and Android integration.

Jul 2014 – May 2016

Computer Technician

Itex Asset Management
  • Diagnostics, repair and refurbishment of computer hardware
  • Managing secure data destruction with NATO-Certified technology
  • Working as a team to achieve common goals and deadlines

Sep 2014 – Oct 2015

Content Creator

CV Plaza
  • Writing job descriptions for large, corporate customers
  • Self-edited and published to thousands of Students nationwide

Education

2018 – 2021

Doctor of Philosophy in Artificial Intelligence

Aston University

PhD Awarded

Awarded a scholarship to continue my studies at Aston University as a researcher in the fields of Artificial Intelligence and Human-Robot Interaction. In August 2021, I was awarded the PhD in Computer Science.

PhD thesis available here.

2014 – 2018

Bachelor’s Degree in Computer Science

Aston University

First Class Degree with Honours.

BSc. Dissertation peer reviewed and published at a popular Artificial Intelligence conference – https://link.springer.com/book/10.1007/978-3-319-97982-3

2011 – 2014

A-Levels

Erasmus Darwin Academy Sixth Form
  • IT – Distinction*
  • Game Development – Distinction*
  • Media Studies – A*

2007 – 2011

GCSE

Erasmus Darwin Academy
  • ICT – Distinction* (3x A*)
  • Science – A*
  • Additional Science – A*
  • Mathematics – A
  • English Language – A
  • History – A
  • English Literature – B

Publications

ResearchGate Profile Google Scholar Profile

Bird, Jordan James (2021). A Socially Interactive Multimodal Human-Robot Interaction Framework through Studies on Machine and Deep Learning. PhD thesis, Aston University.

Journal Articles

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation

Bird, J. J., Barnes, C. M., Manso, L. J., Ekárt, A., & Faria, D. R. (2022). Fruit quality and defect image classification with conditional GAN data augmentation. Scientia Horticulturae293, 110684.

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Chatbot Interaction with Artificial Intelligence: Human Data Augmentation with T5 and Language Transformer Ensemble for Text Classification

Bird, J. J., Ekárt, A., & Faria, D. R. (2021). Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification. Journal of Ambient Intelligence and Humanized Computing, 1-16.

View on ResearchGate View on Springer

Synthetic Biological Signals Machine-generated by GPT-2 improve the Classification of EEG and EMG through Data Augmentation

Bird, J. J., Pritchard, M., Fratini, A., Ekárt, A., & Faria, D. R. (2021). Synthetic Biological Signals Machine-generated by GPT-2 improve the Classification of EEG and EMG through Data Augmentation. IEEE Robotics and Automation Letters6(2), 3498-3504.

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A study on CNN image classification of EEG Signals represented in 2D and 3D

Bird, J. J., Faria, D. R., Manso, L. J., Ayrosa, P. P., & Ekart, A. (2021). A study on CNN image classification of EEG signals represented in 2D and 3D. Journal of Neural Engineering18(2), 026005.

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British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language

Bird, J. J., Ekárt, A., & Faria, D. R. (2020). British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. Sensors20(18), 5151.

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Towards AI-based Interactive Game Intervention to Monitor Concentration Levels in Children with Attention Deficit

Faria, D. R., Bird, J. J., Daquana, C., Kobylarz, J., & Ayrosa, P. P. (2020). Towards AI-based Interactive Game Intervention to Monitor Concentration Levels in Children with Attention Deficit. International Journal of Information and Education Technology, 10(9).

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Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms

Bird, J. J., Wanner, E., Ekárt, A., and Faria, D.R. Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. Expert Systems with Applications, p. 113402, 2020. https://doi.org/10.1016/j.eswa.2020.113402

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Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG

Bird, J.J., Kobylarz, J., Faria, D.R., Ekárt, A., Ribeiro, E.P. Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. IEEE ACCESS. 2020. https://doi.org/10.1109/ACCESS.2020.2979074

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Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning

Kobylarz, J., Bird, J.J., Faria, D.R., Ribeiro, E.P, Ekárt, A.. Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. Journal of Ambient Intelligence and Humanized Computing. 2020. https://doi.org/10.1007/s12652-020-01852-z

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On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing

Bird, J. J., Ekárt, A., & Faria, D. R. (2019). On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. Soft Computing2019. Springer, 16 pages, 2019.

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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction

Bird, J. J., Faria, D. R., Manso, L. J., Ekárt, A., & Buckingham, C. D. (2019). A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. Complexity2019. vol. 2019, Article ID 4316548, 14 pages, 2019. https://doi.org/10.1155/2019/4316548.

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Conferences and Proceedings

EEG Wavelet Classification for Fall Detection with Genetic Programming

Bird, J. J. (2022, June). EEG Wavelet Classification for Fall Detection with Genetic Programming. In Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 376-382).

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Electromyography Signal-based Gesture Recognition for Human-Machine Interaction in Real-Time through Model Calibration

Dolopikos, C., Pritchard, M., Bird, J. J., & Faria, D. R. (2021). Electromyography Signal-based Gesture Recognition for Human-Machine Interaction in Real-Time through Model Calibration.  Future of Information and Communications Conference (FICC). SAI.

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Probabilistic Object Classification using CNN ML-MAP layers

Melotti, G., Premebida, C., Bird, J.J., Faria, D.R. and Gonçalves, N., (2020). Probabilistic Object Classification using CNN ML-MAP layers. The 16th European Conference on Computer Vision (ECCV’20). Springer.

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Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines

Bird, J. J., Faria, D. R., Premebida, C., Ekárt, A., & Vogiatzis, G. (2020). Look and listen: A multi-modality late fusion approach to scene classification for autonomous machines. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 10380-10385). IEEE.

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Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN

Bird, J. J., Faria, D. R., Premebida, C., Ekart, A., & Ayrosa, P. P. S. (2020). Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. The 20th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC’2020). IEEE.

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From Simulation to Reality: CNN Transfer Learning for Scene Classification

Bird, J. J., Faria, D. R., Ayrosa, P. P. S., & Ekart, A. (2020). From Simulation to Reality: CNN Transfer Learning for Scene Classification. 10th International Conference on Intelligent Systems. IEEE.
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Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network

Bird, J. J., Ekart, A., & Faria, D. R. (2019). Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network. 19th Annual UK Workshop on Computational Intelligence (UKCI).
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Classification of EEG Signals Based on Image Representation of Statistical Features

Ashford, J., Bird, J. J., Campelo, F., & Faria, D. R. (2019). Classification of EEG Signals Based on Image Representation of Statistical Features. 19th Annual UK Workshop on Computational Intelligence (UKCI).
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Accent Classification in Human Speech Biometrics for Native and Non-native English Speakers

Bird, J. J., Wanner, E. F., Ekart, A., & Faria, D. R. (2019). Accent Classification in Human Speech Biometrics for Native and Non-native English Speakers. PErvasive Technologies Related to Assistive Environments (PETRA’19).
View on ResearchGate

High Resolution Sentiment Analysis by Ensemble Classification

Bird, J. J., Ekart, A., Buckingham, C, D & Faria, D. R. (2019). High Resolution Sentiment Analysis by Ensemble Classification. SAI Computing Conference 2019.
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Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology

Bird, J. J., Ekart, A., Buckingham, C, D & Faria, D. R. (2019). Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology. SAI Computing Conference 2019.
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Mental Emotional Sentiment Classification with an EEG-based Brain-machine Interface

Bird, J. J., Ekart, A., Buckingham, C, D & Faria, D. R. (2019). Mental Emotional Sentiment Classification with an EEG-based Brain-machine Interface. The International Conference on Digital Image & Signal Processing (DISP’19).
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A Study on Mental State Classification using EEG-based Brain-Machine Interface

Bird, J. J., Manso, L. J., Ribiero, E., P., Ekart, A., & Faria, D. R. (2018). A Study on Mental State Classification using EEG-based Brain-Machine Interface. 9th International Conference on Intelligent Systems. IEEE.
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Learning from Interaction: An Intelligent Networked based Human-bot and Bot-bot Chatbot System

Bird, J. J., Ekart, A., & Faria, D. R. (2018). Learning from Interaction: An Intelligent Networked based Human-bot and Bot-bot Chatbot System. Advances in Intelligent Systems and Computing. Springer.
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A Study on CNN Transfer Learning for Image Classification

Hussain, M., Bird, J. J., & Faria, D. R. (2018). A Study on CNN Transfer Learning for Image Classification. Advances in Intelligent Systems and Computing. Springer.
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Preprints

Preprints and early-stage research may not have been peer reviewed yet.

Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification

Bird, J. J. (2022). Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification. arXiv preprint arXiv:2204.07246.

Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor

Bird, J. J. (2022). Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor. arXiv preprint arXiv:2202.11005.

Improving Customer Service Chatbots with Attention-based Transfer Learning

Bird, J. J. (2021). Improving Customer Service Chatbots with Attention-based Transfer Learning. arXiv preprint arXiv:2111.14621.

Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach

Bird, J. J. (2021). Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach. arXiv preprint arXiv:2110.09170.

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation

Bird, J. J., Barnes, C. M., Manso, L. J., Ekárt, A., & Faria, D. R. (2021). Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation. arXiv preprint arXiv:2104.05647.

British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language

Bird, J. J., Ekart, A., & Faria, D. R. (2020). British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. Preprints 2020, 2020080209 (doi: 10.20944/preprints202008.0209.v1)

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines

Bird, J. J., Faria, D. R., Premebida, C., Ekárt, A., & Vogiatzis, G. (2020). Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. arXiv preprint arXiv:2007.10175.

LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity

Bird, J.J., Faria, D.R., Ekárt, A., Premebida, C. and Ayrosa, P.P., 2020. LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. arXiv preprint arXiv:2007.00659.

Probabilistic Object Classification using CNN ML-MAP layers

Melotti, G., Premebida, C., Bird, J.J., Faria, D.R. and Gonçalves, N., 2020. Probabilistic Object Classification using CNN ML-MAP layers. arXiv preprint arXiv:2005.14565.

Poster Papers

Phoneme Aware Speech Recognition through Evolutionary Optimisation

Bird, J. J., Wanner, E. F., Ekart, A., & Faria, D. R. (2019). Phoneme Aware Speech Recognition through Evolutionary Optimisation. GECCO: The Genetic and Evolutionary Computation Conference 2019.
View on ResearchGate

Funding and Achievements

Successful Proposals

2021

Turing Network Development Award – Contributions made towards a successful proposal for the development of a University-wide data science network, NTU-Turing. The application awarded £25,000 for networking events with the Alan Turing Institute. Award proposal led by Professor Eiman Kanjo and Professor Ahmad Lotfi, at Nottingham Trent University’s Department of Computer Science.

NOTION Workshop at PETRA 2022 – Organisation of the Human Behaviour Monitoring, Interpretation and Understanding workshop (NOTION) at the 15th PErvasive Technologies Related to Assistive Environments Conference (PETRA). Organisers: Professor Ahmad Lotfi, Dr. David Adama, and Dr. Jordan J. Bird.

http://www.petrae.org/workshops/NOTION.html (Available here after the PETRA 2022 website goes offline)

Achievements

2022

Appointed as Lab Lead by the Head of Department – Nottingham Trent University’s Robotics Lab.

Interactive robotics demonstration for members of the East Midlands Chamber

Design and delivery of a robotic tour guide for Nottingham Trent University’s Open Day

Invited Reviewer for the IFRRIA workshop at ICRA 2022 (ICRA 2022 Worksop in Innovation in Forestry Robotics: Research and Industry Adoption)

Robotics demonstration for members of the elderly community towards a research collaboration between Nottingham Trent University and University of Derby

Organisation of the Human Behaviour Monitoring, Interpretation and Understanding workshop (NOTION) workshop at PETRA 2022. (Available here after the PETRA 2022 website goes offline)

2021

Joined the Computational Intelligence and Applications Research Group (CIA) at Nottingham Trent University as a Research Fellow. Nottingham, UK

Awarded a PhD in Computer Science. Thesis available here.

Designed teaching materials for Aston University’s MSc Artificial Intelligence module (tutorials on implementing Reinforcement Learning for Autonomous Vehicles with TensorFlow and the CARLA Simulator)

Invited Reviewer for IEEE Transactions on Human-Machine Systems

2020

Invited Reviewer for MDPI Brain Sciences

Invited Reviewer for the IEEE Robotics & Automation Magazine

Invited Reviewer for IEEE RO-MAN 2020 – International Symposium on Robot and Human Interactive Communication

Invited Reviewer for Hindawi’s Journal of Sensors

Guest Reviewer for Springer’s Journal of Ambient Intelligence and Humanized Computing

Invited Reviewer for IEEE EDUCON2020

2019

Invited Speaker at BrumAI – Birmingham Artificial Intelligence Meetup

Invited Reviewer for Hindawi’s Journal of Sensors

Invited Reviewer for Elsevier’s Biocybernetics and Biomedical Engineering Journal

Invited Reviewer for The 3rd International Conference on Computer Science and Application Engineering (CSAE) 2019 Conference

Invited Reviewer for the IEEE Access Journal

Guest Reviewer for the PErvasive Technologies Related to Assistive Environments (PETRA) 2019 Conference

2018

Invited Guest Laboratory Session Lead for Final Year BSc. Computer Science Computational Intelligence – Neural Networks and Hyperheuristic Optimisation of Neural Networks

Robotics Demonstration for Think Beyond Data – SME Live 2018. The NEC, Birmingham, UK. (https://sme-live.co.uk/) (https://thinkbeyonddata.com/)

Robotics Demonstration – Brum Youth Trends 2018. Birmingham Town Hall, UK

Artificial Intelligence Q&A meeting with Andy Street, Lord Mayor of the West Midlands. Birmingham, UK

Laboratory session lead for Computer Graphics module. Aston University, Birmingham, UK

Delegate for Aston University and Robotics Demonstration – West Midlands Forum for Growth 2018. The NEC, Birmingham, UK. (https://www.westmidlandsforumforgrowth.co.uk)

Invited Speaker – HeadStart 2018. Aston University, Birmingham, UK

Robotics Demonstration – CompTIA 2018. Birmingham, UK

Awarded Scholarship to study for a PhD. in Computer Science supervised by Dr. Diego R. Faria and Dr. Anikó Ekárt at Aston University, Birmingham, UK

BSc. Dissertation peer-reviewed and published in Advances in Computational Intelligence Systems – https://link.springer.com/book/10.1007/978-3-319-97982-3

Contact

Email

Email me: jordan@jordanjamesbird.com

University email address: jordan.bird@ntu.ac.uk

Contact Form

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