Hayford Agbanu Perry Fordson, D.Eng., (Ph.D.)
Ghanaian | Founder | AI Researcher | Engineer
About
I am an interdisciplinary AI researcher and engineer at the intersection of artificial intelligence, neuroscience, and healthcare. With a PhD in Information and Communication Engineering and a strong foundation in signal processing, deep learning, and translational research, my work focuses on developing intelligent systems that can interpret complex human states, particularly in areas such as emotion and pain assessment.
As the founder of Perry Fordson Company Ltd and Objective pain, Inc., I combine scientific rigor with entrepreneurial execution to build scalable, real-world solutions that address critical gaps in healthcare and human-centered AI. My broader interests span advancing equitable AI, bridging research and industry, and applying intelligent systems across domains including medicine, finance, and emerging technologies.
Currently working on
A new AI model for accurately assessing pain for clinical decision support.
Selected publications
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Hayford Perry Fordson, Adam Anderson and Eve DeRosa, “A Physiologically Cascaded Ensemble for Pain Recognition Using Ultra-Low Frequency Electrocardiogram Arrays”. Submitted to IEEE Transactions on Biomedical Engineering 2026
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Hayford Perry Fordson, Adam Anderson and Eve DeRosa, “Deep Artificial Denoising Auto-Encoder-Decoder Pain Recognition System”. 2023 IEEE International Conference on Machine Learning and Cybernetics (ICMLC), Adelaide, Australia, 2023. pp. 75-81. doi:10.1109/ICMLC58545.2023.10327969
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Hayford Perry Fordson, Xiaofen Xing, Kailing Guo, Xiangmin Xu, Adam Anderson, and Eve DeRosa (2023). “Hyper Enhanced Learning System for Emotion Recognition”. In: Obeid, I., Picone, J., Selesnick, I. (eds) Signal Processing in Medicine and Biology. Springer, Cham. doi:10.1007/978-3-031-21236-9_1
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Hayford Perry Fordson, Katherine Gardhouse, Nicholas, Cicero, Junichi Chikazoe, Adam Anderson and Eve DeRosa, “A Novel Deep Learning Based Emotion Recognition Approach To Well Being from Fingertip Blood Volume Pulse”. Proceedings of the 2022 IEEE International Conference on Machine Learning and Cybernetics (ICMLC) 2022. pp. 130-137. doi:10.1109/ICMLC56445.2022.9941301
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Hayford Perry Fordson, Xiaofen Xing, Kailing Guo and Xiangmin Xu. “Emotion Recognition With Knowledge Graph Based on Electrodermal Activity”, Front. Neurosci. 16:911767. pp. 1-12 (2022). doi: 10.3389/fnins.2022.865201
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Hayford Perry Fordson, Xiaofen Xing, Kailing Guo and Xiangmin Xu. “Not All Electrode Channels Are Needed: Knowledge Transfer From Only Stimulated Brain Regions for EEG Emotion Recognition“, Front. Neurosci.16:865201. pp.1-13 (2022). doi:103389/fnins.2022.911767
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Hayford Perry Fordson, Xiaofen Xing, Kailing Guo and Xiangmin Xu “ A Feature Learning Approach Based on Multimodal Human Body Data for Emotion Recognition”, 2021 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) 2021, pp. 1-6. doi:10.1109/spmb52430.2021.9672303
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Shuzhen Li, Xiaofen Xing, Weiquan Fan, Bolun Cai, Perry Fordson, and Xiangmin Xu. “Spatiotemporal and frequential cascaded attention networks for speech emotion recognition”, Neurocomputing 448(2021)238-248. doi:10.1016/j.neucom2021.02.094.