Hello, I’m
Dr Jordan J. Bird
I am a Senior Lecturer in Computer Science
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.
Publications
ResearchGate Profile Google Scholar Profile
https://orcid.org/0000-0002-9858-1231Journal Articles
Enhancing Pollinator Conservation: Monitoring of Bees through Object Recognition
Alex, A.J., Barnes, C.M., Machado, P., Ihianle, I., Markó, G., Bencsik, M. and Bird, J.J., 2025. Enhancing pollinator conservation: Monitoring of bees through object recognition. Computers and Electronics in Agriculture, 228, p.109665.
Developing an AI-Based Digital Biophilic Art Curation to Enhance Mental Health in Intelligent Buildings
Xing, Y., Kar, P., Bird, J.J., Sumich, A., Knight, A., Lotfi, A. and Carpenter van Barthold, B., (2024). Developing an AI-Based Digital Biophilic Art Curation to Enhance Mental Health in Intelligent Buildings. Sustainability, 16(22), p.9790.
Customer Service Chatbot Enhancement with Attention-based Transfer Learning
Bird, J.J. and Lotfi, A., (2024). Customer service chatbot enhancement with attention-based transfer learning. Knowledge-Based Systems, p.112293.
Do Interictal Epileptiform Discharges and Brain Responses to Electrical Stimulation Come from the Same Location? An Advanced Source Localization Solution
Shirani, S., Abdi-Sargezeh, B., Valentin, A., Alarcon, G., Bird, J. and Sanei, S., (2024). Do Interictal Epileptiform Discharges and Brain Responses to Electrical Stimulation Come from the Same Location? An Advanced Source Localization Solution. IEEE Transactions on Biomedical Engineering.
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.
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.
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.
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 Machines, 24(1), 6.
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
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 Horticulturae, 293, 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 Letters, 6(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 Engineering, 18(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. Sensors, 20(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 Computing, 2019. 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. Complexity, 2019. vol. 2019, Article ID 4316548, 14 pages, 2019. https://doi.org/10.1155/2019/4316548.
Conferences and Proceedings
Retrieval Augmented Large Language Model Chatbots in Higher Education: A Study on University Open Days
Shanthakumar, A.K., Fassihi-Tash, F., Lotfi, A. and Bird, J.J., 2024, September. Retrieval Augmented Large Language Model Chatbots in Higher Education: A Study on University Open Days. In UK Workshop on Computational Intelligence (pp. 32-44). Cham: Springer Nature Switzerland.
Distributed Beamforming for Localization of Brain Seizure Sources from Intracranial EEG Array
Shirani, S., Abdi-Sargezeh, B., Valentin, A., Alarcon, G., Jarchi, D., Bird, J. and Sanei, S., 2024, August. Distributed Beamforming for Localization of Brain Seizure Sources from Intracranial EEG Array. In 2024 32nd European Signal Processing Conference (EUSIPCO) (pp. 1117-1121). IEEE.
WeedScout: Real-Time Autonomous Blackgrass Classification and Mapping using Dedicated Hardware
Gazzard, M., Hicks, H., Ihianle, I.K., Bird, J.J., Hasan, M.M. and Machado, P., (2024), September. WeedScout: Real-Time Autonomous blackgrass Classification and Mapping using dedicated hardware. In Annual Conference Towards Autonomous Robotic Systems (pp. 409-421). Cham: Springer Nature Switzerland.
Generative AI in Psychological Therapy: Perspectives on Computational Linguistics and Large Language Models in Written Behaviour Monitoring
Bird, J.J., Wright, D., Sumich, A. and Lotfi, A., (2024), June. Generative AI in Psychological Therapy: Perspectives on Computational Linguistics and Large Language Models in Written Behaviour Monitoring. In Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 322-328).
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Exploring Machine Learning Applications for Biophilic Art Displays to Promote Health and Well-being
Xing, Y., Kar, P., J. Bird, J., Sumich, A., Carpenter Van Barthold, B., Knight, A. and Lotfl, A., (2024), June. Exploring Machine Learning Applications for Biophilic Art Displays to Promote Health and Well-being. In Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 329-336).
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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.
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.
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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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.
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Research Funding and Achievements
Research Funding
Inclusive use of Artificial Intelligence in Education in Vietnam: AI Powered Inclusive Education Digital Transformation in Rural and Urban Schools. Funded by the British Council (£99,135) [2024 – 2026]. PI.
STEM 4.0: Advancing Technology Education through AI-Driven and Adaptive Learning. Funded by the British Council (£29,374) [2025].
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]. Co-I.
Integrated Virtual Wards For Ageing Well – Funded by Innovate UK (£207,379) [2024-2026]. Co-I.
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]. Co-I.
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
2024
Grant Reviewer (International Expert) – AI Singapore.
Grant Reviewer – UKRI Engineering & Physical Sciences Research Council (EPSRC).
Press Coverage – Vietnam News Agency: “Expanding access to education through the application of AI in teaching in Vietnam” (translated from Vietnamese). https://vnanet.vn/vi/anh/anh-thoi-su-trong-nuoc-1014/mo-rong-tiep-can-giao-duc-thong-qua-ung-dung-ai-trong-day-hoc-o-viet-nam-7749029.html
Press Coverage – BaoTinTuc, Vietnam News Agency: “Four universities in Vietnam launch the latest AI application project in teaching” (translated from Vietnamese). https://baotintuc.vn/giao-duc/bon-truong-dai-hoc-o-viet-nam-khoi-dong-du-an-ung-dung-ai-moi-nhat-trong-day-hoc-20241210154236979.htm
Keynote Speaker – “Sustainability of Generative AI” delivered to NTU Strategic Partners. Nottingham Trent University, October 10th 2024.
Keynote Speaker – “ChatGPT: An Unsustainable Solution to Modern Problems” delivered at the Annual Dinner of the Friends of The School of Architecture, Design and the Built Environment at Nottingham Trent University. City Campus, Nottingham Trent University.
Guest Lecture – “Demystifying AI: What Is It? How Does It Work?” jointly organised by Nottingham Trent University, BCS Nottingham and Derby branch and BCS Leicester branch, delivered by Prof. Ahmad Lotfi, Dr. Jordan J. Bird, Dr. Amir Pourabdollah, and Dr. Pedro Machado. Clifton Campus, Nottingham Trent University.
2023
Appointed as the Deputy Co-ordinator for B11 REF
Best Paper Award – UKCI 2023 – AI 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
2024
PhD Guidance Committee Member – West University of Timișoara, Romania.
Programme Committee – 17th IIAI International Congress on Advanced Applied Informatics. Ho Chi Minh City, Vietnam, 16-18 December, 2024.
Distinguished Guest – IWALS 2024: The 10th International Workshop on Advanced Learning Sciences. Hanoi, Vietnam, 14-15 December, 2024.
Technical Programme Committee – UKCI 2024: The 23rd UK Workshop on Computational Intelligence. Belfast, Northern Ireland, UK, 2-4 September 2024.
Programme Committee – 15th International Conference on Smart Computing and Artificial Intelligence (SCAI 2024) at the 16th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2024). Takamatsu, Japan, July 6-12, 2024.
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 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)
Contact
Email me: jordan@jordanjamesbird.com
University email address: jordan.bird@ntu.ac.uk
Contact Form
The above message is sent to jordan@jordanjamesbird.com