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Department of Health Services Management & Policy

College of Public Health

Sylvester Orimaye
Sylvester Orimaye

Sylvester Olubolu Orimaye

Research Associate, Choose Well Evaluation Study
Department of Health Services Management and Policy

Contact:
423-439-4006 /
148 Sam Wilson Hall 
Box 70623, Johnson City, TN 37615 







EDUCATION

Doctor of Philosophy (PhD), Information Technology,
Monash University, Melbourne, Australia

Masters of Public Health (MPH), Biostatistics,
East Tennessee State University, Johnson City, TN, United States of America

Graduate Certificate, Gerontology
East Tennessee State University, Johnson City, TN, United States of America

Graduate Certificate in Higher Education
Monash University, Melbourne, Australia

Bachelor of Science (BSc) with Honors (First Class Honors), Computing
Staffordshire University, Stoke-on-Trent, United Kingdom

SAS® Certified Base Programmer for SAS® 9
SAS® Global Certification Program

RESEARCH FOCUS

Bioinformatics
Public Health and Artificial Intelligence (Public Health Interventional Tools)
Public Health and Big Data Analytics
Alzheimer's disease and Gerontology 
Rural Health and Health Disparities
Evaluation Research

COURSES TAUGHT

HSMP 4200 Health Informatics

SELECTED PRESENTATIONS

Sylvester O. Orimaye and Jodi Southerland (2018) Association between Alzheimer's disease and Rural Northeast Tennessee Region between 2013 and 2015: A rural U.S. Appalachian-based public health project that examined the prevalence of Alzheimer’s disease in rural counties in the Northeast Tennessee region. Appalachian Student Research Forum, April 4-5 

Sylvester O. Orimaye and Jodi Southerland. (2018) Alzheimer's disease and Early Detection in Rural Appalachia: Emphasis on the Prevalence in Northeast Tennessee Region between 2013 and 2015. American Public Health Association Annual Meeting & Expo, Nov. 10-14 

Sylvester O. Orimaye (2018) Psychometric Analysis of the CERAD Word List and the Logical Memory Subtests as an Independent Linguistic Battery for Diagnosing Mild Cognitive Impairment. American Public Health Association Annual Meeting & Expo, Nov. 10-14

SELECTED PUBLICATIONS

Sylvester O. Orimaye, Jojo S-M. Wong, Chee P. Wong (2017). Deep language space neural network for classifying mild cognitive impairment and Alzheimer-type dementia, PloS one, (2018)13(11) 

Sylvester O. Orimaye, Jojo S-M. Wong, Karen J. Golden, Chee P. Wong & Ireneous N. Soyiri (2017). Predicting Alzheimer's disease using Linguistic Deficits and Biomarkers, BMC Bioinformatics (2017)18:34 

Sylvester O. Orimaye, Jojo S-M. Wong, Karen J. Golden (2014). Learning Predictive Linguistic Features for Alzheimer’s Disease and related Dementias using Verbal Utterances, ACL Workshop on Computational Linguistics and Clinical Psychology, Association for Computational Linguistics, Baltimore, Maryland USA, June 26-27, 2014, pp.78-87 

Sylvester O. Orimaye, Jojo S-M. Wong, Judyanne S-G. Fernandez (2016). Deep-Deep Neural Network Language Models for Predicting Mild Cognitive Impairment, 25th International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap, New York, USA, July 11, 2016 

S. O Orimaye, K.Y Tai, J.S-M Wong, CP Wong (2015). Learning Linguistic Biomarkers for Predicting Mild Cognitive Impairment using Compound Skip-grams, The 2015 Neural Information Processing Systems (NIPS) Workshop on Machine Learning in Healthcare, Montreal, Canada, December 7-12

HONORS AND AWARDS

Appalachian Student Research Forum Award Winner, 2018. 

MONASH University Faculty of Information Technology
Teaching Excellence Award, 2016 

MONASH University Sunway Campus, Faculty of Information
Technology Best Paper Award, 2012 

MONASH University Higher Degree by Research Scholarship Recipient, 2009-2013

GRANTS RECEIVED 

Principal Investigator: A novel predictive model for early diagnosis of Alzheimer's Disease and related Dementias among Malaysians using Artificial Intelligence techniques - Fundamental Research Grant Scheme, Ministry of Education Malaysia and South-East Asia Community Observatory (SEACO), 2014-2017. 

Principal Investigator: Predicting Autism Spectrum Disorder from Language using Natural Language Processing and Deep Learning Techniques - SIT Collaborative Research Grant, Monash University Malaysia, 2016 

Co-Investigator: Designing a smart medical work system: Medtronic Virtual Express Clinic for heart patients - Monash Malaysia Strategic Large Grant, Monash University Malaysia, 2016-2017. 

Principal Investigator: Developing predictive models for the diagnosis of Neurodegenerative Disorders using Natural Language Processing techniques and Bayesian Belief Networks - Monash University Malaysia Tropical Medicine and Biology Platform, 2014-2015 

Principal Investigator: Development of Human-Mobile nearness mobile application for remote health monitoring, 2014-2015 - Monash University Malaysia Advanced Engineering Research Platform 

Co-Investigator: A Linux Learning Module (LLM) for Big Data Analyses and Bioinformatics an On-line Approach - Better Teaching Better Learning (BTBL) Education Grant, Monash University Australia, 2016-2017

PERSONAL INTERESTS

Learning, music, soccer, family.

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