Hello, I’m

Dr Jordan J. Bird

I am a Senior Lecturer in Computer Science

 

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About Me

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

A photograph of Dr. Jordan J. Bird Delivering a Guest Lecture at Tokyo Metropolitan University. Hino Campus, Hachioji, Tokyo
Delivering a Guest Lecture at Tokyo Metropolitan University. Hino Campus, Hachioji, Tokyo – click here for more information.
A Photograph of Jordan J. Bird delivering a talk at Computing Conference 2019 in London, UK
Presenting a paper at the SAI Computing Conference 2019

A photograph of Dr. Jordan J. Bird
Staff profile photo
A photograph of Dr. Jordan J. Bird graduating with the PhD in Computer Science. Aston University, Birmingham, UK.
Graduating from Aston University with my PhD.

CV/Resume

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Some information is not shown on my CV which includes my GCSEs (ICT – Distinction* (3x A*), Science – A*, Additional Science – A*, Mathematics – A, English Language – A, History – A, English Literature – B) and A-Levels (IT – Distinction*, Game Development – Distinction*, Media Studies – A*), all from Erasmus Darwin Academy, Burntwood, UK.

CV PDF (3 pages):

Dr. Jordan J. Bird CV

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Publications

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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

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Bird, J.J. and Lotfi, A., (2024). CIFAKE: Image Classification and Explainable Identification of AI-generated Synthetic Images. IEEE Access.

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Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques

Fontes, L., Machado, P., Vinkemeier, D., Yahaya, S., Bird, J.J., Ihianle, I.K. (2024) Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques. Sensors, 24, 1096.

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Formulation of Common Spatial Patterns for Multi-task Hyperscanning BCI

Falcon-Caro, A., Shirani, S., Ferreira, J.F., Bird, J.J. and Sanei, S., (2024). Formulation of Common Spatial Patterns for Multi-task Hyperscanning BCI. IEEE Transactions on Biomedical Engineering.

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Fall compensation detection from EEG using Neuroevolution and Genetic Hyperparameter Optimisation

Bird, J. J., & Lotfi, A. (2023). Fall Compensation Detection from EEG using Neuroevolution and Genetic Hyperparameter Optimisation. Genetic Programming and Evolvable Machines24(1), 6.

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Writer-independent Signature Verification; Evaluation of Robotic and Generative Adversarial Attacks

Bird, J. J., Naser, A., & Lotfi, A. (2023). Writer-independent Signature Verification; Evaluation of Robotic and Generative Adversarial Attacks. Information Sciences. doi:10.1016/j.ins.2023.03.029

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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.

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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

AI Generated Art: Latent Diffusion-Based Style and Detection

Bird, J.J., Barnes, C.M., Lotfi, A. (2024). AI Generated Art: Latent Diffusion-Based Style and Detection. In: Naik, N., Jenkins, P., Grace, P., Yang, L., Prajapat, S. (eds) Advances in Computational Intelligence Systems. UKCI 2023. Advances in Intelligent Systems and Computing, vol 1453. Springer, Cham. https://doi.org/10.1007/978-3-031-47508-5_13

Best Paper Award at UKCI2023

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Generative Transformer Chatbots for Mental Health Support: A Study on Depression and Anxiety

Bird, J. J., & Lotfi, A. (2023). Generative Transformer Chatbots for Mental Health Support: A Study on Depression and Anxiety. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 475–479. Presented at Corfu, Greece. doi: https://doi.org/10.1145/3594806.3596520

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Explainable AI for Medical Image Processing: A Study on MRI in Alzheimer’s Disease

Duamwan, L. M., & Bird, J. J. (2023). Explainable AI for Medical Image Processing: A Study on MRI in Alzheimer’s Disease. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 480–484. Presented at Corfu, Greece. doi: https://doi.org/10.1145/3594806.3596521

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Toward a Holistic Elderly-Centred Behaviour Monitoring Solution: Achievements and Opportunities

Naser, A., Lotfi, A., Pourabdollah, A., & Bird, J. (2023). Toward a Holistic Elderly-Centred Behaviour Monitoring Solution: Achievements and Opportunities. Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 491–496. Presented at Corfu, Greece. doi: https://doi.org/10.1145/3594806.3596565

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Affective Computing in Computer Vision: A Study on Facial Expression Recognition

Bird, J. J., Saputra, A. A., Kubota, N., & Lotfi, A. (2022, December). Affective Computing in Computer Vision: A Study on Facial Expression Recognition. In 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) (pp. 84-88). IEEE.

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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).
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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.

Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion

Bird, J. J., & Lotfi, A. (2023). Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion. arXiv preprint arXiv:2308.12734.

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Bird, J. J. & Lotfi, A. (2023). CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images. arXiv preprint arXiv:2303.14126.

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

Research Supervision and Teaching

Note: titles of ongoing projects are subject to change.

PhD

2 students under supervision.

Director of Studies

Sepehr Shirani

Co-supervisor

Dan Buxton

Teaching

2023-2024

ISYS17104 Understanding LSEP in Data Science (module leader) New module – lecture design, assessment design, and delivery.

Teaching: Applied AI and Data Mining, Big Data & Its Infrastructure, Service Oriented Cloud Technologies, Introduction to Computers and Technology.

2022-2023

COMP40711 Big Data & Its Infrastructure

ISYS40061 Service Oriented Cloud Technologies

MSc Major Project

14 students graduated, 5 currently under supervision.

2024-2025

Chinedu Chukwu, 2023 – Detection of AI-generated Abstract Art

Kate Elliott, 2023 – Detection of Hateful Symbols in Images

Lipoktoshi Longkumer, 2023 – Generation and Detection of Human Face DeepFakes

Sutha Mathyaglan, 2023 – A Chatbot for Pension Q/A to Support the Elderly

Chibueze Nwoke, 2023 – Generating and Detecting Synthetic Text with Neural Language Models

2023-2024

Ajay John Alex, 2023 (graduated) – Tracking Bees with Object Recognition

Mariam Kasali, 2023 (graduated) – Written Character Recognition for Education ​

Adetunji Odedina, 2023 (graduated) – Privacy-preserving Indoor/Outdoor Detection with Wearable Sensors

Pooja Patel, 2023 (graduated) – Chatbots for Mental Health Support

Ravidu Silva, 2023 (graduated) – Generating and Detecting AI Art

Patricia Udorji, 2023 (graduated) – Mental Health Question Answering with a Deep-learning Chatbot

Apoorva Yande, 2023 (graduated) – Explainable AI for Spam Email Text Classification and Filtering

2022-2023

Pamela Chenge, 2022 (graduated) – Machine Learning for Predicting Human Behaviour to Reduce Energy Consumption

Pheba Cherian, 2022 (graduated) – Multiple Object Recognition by a NAO Robot using Deep Learning

Linda Duamwan, 2022 (graduated) – Early Detection of Brain Diseases

Research Paper (ACM) Research Paper PDF

Saranya Madireddy, 2022 (graduated) – Real-time Face Detection with Bounding Box Regression in Human-Robot Interaction

Prajith Prasannan, 2022 (graduated) – Generating and Detecting Fake Online Reviews with Neural Language Models

Joel Puthenpurackal, 2022 (graduated) – Recognising Objects using Image Classification on NAO Robots

Asha Saju, 2022 (graduated) – Analysis of Human Participants in Human-Robot Interaction

BSc Final Year Project

1 student graduated, 11 currently under supervision.

Prior to Faculty

The below information contains past teaching information from prior to my joining of the University faculty.

2018-2021 (PhD)

Design of autonomous driving coursework for MSc students at Aston University. Video tutorials on how to use Python and TensorFlow to train deep-learning based reinforcement learning algorithms in a driving simulator (CARLA).

Lecturer for Degree Apprenticeship Programme – leading teaching sessions on Human Computer Interaction (Second year), Web Development (Second year), Geographic Information Systems (Final year), and Mobile App Development (Final year).

Teaching Assistant – assisting in the delivery of Computer Graphics (Second Year) and Computational Intelligence (Final Year).

Laboratory Session Lead for Final Year BSc. Computer Science Computational Intelligence – Neural Networks and Hyperheuristic Optimisation of Neural Networks. Aston University, Birmingham, UK.

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

2014 (Sixth Form)

Teacher – invited to teach web development to a class of 12-13 year olds while I was an A-Level Student at Erasmus Darwin Academy Sixth Form.

Research Funding and Achievements

Research Funding

To Create an Innovative AI Approach for Enhancing Data Quality through Data Augmentation in the Finance Sector – Funded by Innovate UK (£235,710) [2024-2027].

Integrated Virtual Wards For Ageing Well – Funded by Innovate UK (£207,379) [2024-2026].

SmartBerry: Artificial Intelligence To Enhance Strawberry Farming In Developing Countries – Collaboration of Nottingham Trent University (UK), Covenant University (Nigeria) and Ashley’s Strawberry Farms (Nigeria). Funded by Innovate UK (£245,725) [2023-2025].

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. Funded by the Alan Turing Institute (£25,000) [2022].

Achievements

2023

Appointed as the Deputy Co-ordinator for B11 REF.

Best Paper Award – UKCI 2023AI Generated Art: Latent Diffusion-based Style and Detection

Appointed as a Senior Lecturer in Computer Science at Nottingham Trent University.

Meeting and AI demonstrations (Human-Robot Interaction, Robotic Signature Forgery) with Lilian Greenwood, Labour MP for Nottingham South.

Enabling Technology talk and demonstration (Human-Robot Interaction with Sign Languages and Makaton) for faculty members from local special education schools.

AI demonstrations and talk delivered to high school students from Quarrydale Academy.

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 the 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

External Activity

2023

Technical Programme Committee Member and Deep Learning Session Chair, UKCI 2023 – Invited by General Chair Dr. Nitin Naik (Aston University, UK) to the Technical Programme Committee at UKCI 2023: The 22nd UK Workshop on Computational Intelligence.

Programme Committee Member, ALIFE 2023 – Invited by General Chair Dr. Hiroyuki Iizuka (Hokkaido University, Japan) to join the Programme Committee at ALIFE 2023: The 2023 Conference on Artificial Life.

Workshop Organiser for NOTION at PETRA 2023 – Organisation of the Human Behaviour Monitoring, Interpretation and Understanding workshop (NOTION) at the 16th PErvasive Technologies Related to Assistive Environments Conference (PETRA). Organisers: Professor Ahmad Lotfi, Dr. Jordan J. Bird, and Dr. Abdallah Naser.

Programme Committee Member, UA-DIGITAL 2023 – Peer reviewer for the UA-DIGITAL 2023: UA Digital Theme Research Twinning conference. Virtual, Ukraine, 27-31 March 2023.

2022

Visiting Lecture at Tokyo Metropolitan University – Delivered a lecture in person at Tokyo Metropolitan University Hino Campus, Hachioji, Tokyo on my PhD Research: A Socially Interactive Multimodal Human-Robot Interaction Framework. Lecture presented at the Kubota Lab.

Workshop Organiser for NOTION at PETRA 2022Organisation 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)

Contact

Email

Email me: jordan@jordanjamesbird.com

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

Contact Form

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