Dr Massoud Khodadadzadeh

Lecturer in Computer Science

Dr Massoud Khodadadzadeh

Dr Massoud Khodadadzadeh, a Lecturer in Computer Science at the 天美传媒, holds a PhD in Computer Science from Ulster 天美传媒. His research journey includes impactful roles such as a Research Associate in Artificial Intelligence for Data Science at The Bath Institute for the Augmented Human, 天美传媒 of Bath, and previously at the Intelligent Systems Research Centre, Ulster 天美传媒.

With international collaborations, he has contributed to pioneering projects, including a visiting researcher position at the Centre for Complex Systems and Brain Sciences, Florida Atlantic 天美传媒. His work encompasses cutting-edge developments in machine learning and deep learning methods for various applications, such as Remote Sensing, Brain-Computer Interface, advanced techniques for Inner Speech Classification, and identifying emergent agency in infants.

Teaching Expertise/Areas

  • Artificial Intelligence
  • Programming
  • Data mining
  • Computer Vision

Research Interests/Areas

  • Deep/Machine Learning
  • Remote Sensing
  • Brain Computer Interface (BCI)
  • Signal/Image Processing

Publications

  • Sloan, A. T., Jones, N. A., Boiten, N., Friston, K., Khodadadzadeh, M., Coyle, D., Gudibanda, K., Jirsa, V., & Kelso, J. A. S. (2023). 鈥淐oordination Dynamics meets Active Inference and Artificial Intelligence (CD + AI2): A multi-pronged approach to understanding the dynamics of brain and the emergence of conscious agency鈥. (SfN), https://doi.org/10.1016/j.tics.2016.04.004
  • Khodadadzadeh, M., Sloan, A. T., Jones, N. A., Coyle, D., & Kelso, J. A. S. (2023). 2D Capsule Networks Detect Perceived Changes in Infant鈭糆nvironment Relationship Reflected in 3D Movement Dynamics. Scientific Reports, Nature, https://doi.org//10.21203/rs.3.rs-3088795/v1
  • M. Khodadadzadeh, N. deBois, and D. Coyle, 鈥淜nowledge Extraction using Capsule Deep Learning Approaches.鈥 UK AI Fellows Conference. Accessed: May. 24, 2023.
  • M. Khodadadzadeh and D. Coyle, 鈥淚magined Speech Classification from Electroencephalography with a Features-Guided Capsule Neural Network.鈥 15th Irish Human Computer Interaction (iHCI) Symposium, Dec. 18, 2022. Accessed: Feb. 26, 2023.
  • M. Khodadadzadeh, X. Ding, P. Chaurasia, and D. Coyle, 鈥淎 Hybrid Capsule Network for Hyperspectral Image Classification,鈥 IEEE J Sel Top Appl Earth Obs Remote Sens, vol. 14, pp. 11824鈥11839, 2021.
  • Korik A, McCreadie K, McShane N, Du Bois N, Khodadadzadeh M, Stow J, et al., 鈥淐ompeting at the Cybathlon championship for people with disabilities: long-term motor imagery brain鈥揷omputer interface training of a cybathlete who has tetraplegia,鈥 J Neuroeng Rehabil, vol. 19, no. 1, pp. 1鈥22, Dec. 2022.
  • M. Khodadadzadeh, X. Ding, P. Chaurasia, and D. Coyle, 鈥淒ata Analysis with Capsule Deep Learning Approaches,鈥Intelligent Systems Research Centre, Faculty of Computing, Engineering and Built Environment, Ulster 天美传媒, Confirmation report, 2019.
  • M. Khodadadzadeh, X. Ding, P. Chaurasia, and D. Coyle, 鈥淚ntelligent Data Analysis with Capsule Neural Networks,鈥Intelligent Systems Research Centre, Faculty of Computing, Engineering and Built Environment, Ulster 天美传媒, Initial assessment report, 2018.
  • M. Khodadadzadeh and H. Gholizadeh-Narm, 鈥淚mprovement of chaotic secure communication scheme based on steganographic method and multimodal dynamic maps,鈥 International Journal of Systems, Control and Communications, vol. 6, no. 4, pp. 305鈥320, 2015.

Contact Details

E: Massoud.Khodadadzadeh@beds.ac.uk

telephone

天美传媒 switchboard
During office hours
(Monday-Friday 08:30-17:00)
+44 (0)1234 400 400

Outside office hours
(Campus Watch)
+44 (0)1582 74 39 89

email

Admissions
admission@beds.ac.uk

International office
international@beds.ac.uk

Student support
sid@beds.ac.uk

Registration
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