KongFatt Wong-Lin, Ph.D.

Affiliations: 
2001-2006 Physics (Computational Neuroscience) Brandeis University, Waltham, MA, United States 
 2006-2010 The Program In Applied and Computational Mathematics, Center for the Study of Brain, Mind and Behavior, Princeton Neuroscience Institute Princeton University, Princeton, NJ 
 2010-2019 Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems Ulster University 
Area:
Computational Neuroscience, Data Science, Artificial Intelligence
Website:
https://www.ulster.ac.uk/staff/k-wong-lin
Google:
"Kong-Fatt Wong or KongFatt Wong-Lin or Kongfatt Wong-Lin"
Mean distance: 14.75 (cluster 17)
 
SNBCP

Parents

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Xiao-Jing Wang grad student 2001-2006 Brandeis
 (Temporal integration of information in perceptual decision making: A recurrent network model.)
Jonathan D. Cohen post-doc 2006-2009 Princeton
Philip J. Holmes post-doc 2006-2010 Princeton

Children

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Anthony Lindsay research assistant 2015-2015 Ulster University (Computer Science Tree)
Brendan Lenfesty grad student 2022- Ulster University
Vahab Youssofzadeh grad student 2013-2016 Ulster University
Nadim A. A. Atiya grad student 2016-2019 Ulster University
Chandan Kumar Behera grad student 2017-2020 Ulster University
Niamh McCombe grad student 2017-2022 Ulster University (Computer Science Tree)
Abdoreza Asadpour post-doc 2022- Ulster University
Xuemei Ding post-doc 2015-2017 Ulster University (Computer Science Tree)
Magda Bucholc post-doc 2017-2018 Ulster University (Computer Science Tree)
Jose Miguel Sanchez-Bornot post-doc 2018-2020 Ulster University
Alok Joshi post-doc 2018-2021 Ulster University

Collaborators

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Ritwik K. Niyogi collaborator 2008- Princeton
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Publications

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Behera CK, Joshi A, Wang DH, et al. (2023) Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration. Frontiers in Computational Neuroscience. 16: 950489
McCombe N, Bamrah J, Sanchez-Bornot JM, et al. (2022) Alzheimer's disease classification using cluster-based labelling for graph neural network on heterogeneous data. Healthcare Technology Letters. 9: 102-109
Joshi A, Todd S, Finn DP, et al. (2022) Multi-dimensional relationships among dementia, depression and prescribed drugs in England and Wales hospitals. Bmc Medical Informatics and Decision Making. 22: 262
McCombe N, Ding X, Prasad G, et al. (2022) Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2022: 1098-1104
McCombe N, Joshi A, Finn DP, et al. (2022) Distinguishing Lewy Body Dementia from Alzheimer's Disease using Machine Learning on Heterogeneous Data: A Feasibility Study. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2022: 4929-4933
Mccombe N, Ding X, Prasad G, et al. (2022) Alzheimer's Disease Assessments Optimized for Diagnostic Accuracy and Administration Time. Ieee Journal of Translational Engineering in Health and Medicine. 10: 4900809
Mccombe N, Liu S, Ding X, et al. (2021) Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. Ieee Journal of Biomedical and Health Informatics
Wong-Lin K, Wang DH, Joshi A. (2021) Multiscale modeling and analytical methods in neuroscience: Molecules, neural circuits, cognition and brain disorders. Journal of Neuroscience Methods. 109225
Zanin M, Aitya NAA, Basilio J, et al. (2021) An Early Stage Researcher's Primer on Systems Medicine Terminology. Network and Systems Medicine. 4: 2-50
Boyce WP, Lindsay A, Zgonnikov A, et al. (2020) Optimality and Limitations of Audio-Visual Integration for Cognitive Systems. Frontiers in Robotics and Ai. 7: 94
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