天美传媒

Lecturer in Computer Science

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

• Concepts and technologies of Artificial Intelligence (AI)
• Intelligent systems and data mining
• Data Science
• Decision support systems
• Computer Vision

Research Interests/Areas

• Artificial Intelligence (AI)
• Machine Learning
• Deep Learning
• Robotics
• Remote Sensing
• Brain-Computer Interface (BCI)

MSc/PhD Opportunities

Khodadadzadeh welcomes inquiries from exceptional candidates interested in pursuing MSc or PhD research in areas related to the topics outlined above. For more information, please feel free to email him at Massoud.Khodadadzadeh@beds.ac.uk.

Additional details are available at the provided links:

• Master of Science by Research (MSc)
• Master of Philosophy (MPhil)
• Doctor of Philosophy (PhD)

Professional Activities

• Member of the IRAC: Institute for Research in Applicable Computing
• Course coordinator for MSc in Artificial Intelligence (AI)
• Link co-ordinator Majan 天美传媒 College (MUC), Oman
• Reviewer of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• External Reviewer of Mitacs Accelerate research proposals

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