BSc(Human Genetics)(Hons), GradDip(Neurosci), PhD(Neuroscience), GradCertTeach&Learn
Herbert Jelinek graduated in Human Genetics (Honours) from UNSW, Sydney and received a GradDip(Neurosci) from ANU (Canberra) followed by a PhD (University of Sydney ). His research is in diabetes and diabetic complications focusing on strategies for automated identification of cognitive, cardiac, peripheral vascular and retinal complications using biosignal and image processing. He has established a one stop screening unit for diabetes and cardiovascular disease at Charles Sturt University, Albury.
Currently Dr Jelinek has an adjunct position as clinical associate professor at the Australian School of Advanced Medicine, Macquarie University and The Rural Clinical School, University of New South Wales in Sydney, Australia as well as being an honorary senior research fellow with the Centre for Informatics and Optimization at Federation University, Ballarat, Australia.
Working with GMDH Forecasting and Planning Software
Dr Jelinek has been teaching for over 15 years in Anatomy, Physiology, Pharmacology, Neuroscience, Chronic Disease and Molecular Biology. He is a member of the Physiotherapy and Speech Pathology Course Development Committees and continues to develop Anatomy, Physiology, Biology, Pharmacology and Neuroscience subjects for the Allied Health Courses offered by School of Community Health. Dr Jelinek works with both internal as well as distance education.
Research and Publications
Dr Jelinek has been involved in diabetes and its complications research since 2002, which has as its main investigating change in cognitive function, cardiac, renal and nervous system genetics, physiology and biochemistry. He is an expert in nonlinear analysis of 2D images and biosignal processing. He has been involved in diabetes complications screening for over 10 years. He has contributed to the development of automated diabetic retinopathy screening tools, ECG analysis applications as well as web-based image analysis tools (Fractop V3). He is involved in developing engineering solutions in cardiac and stroke rehabilitation, as well as in rural and remote diabetes complications screening using engineering technology.
Automated Detection of Diabetic Retinopathy
University of Campinas, Brazil
Genetic and physiological biomarkers for identification of multiorgan diabetic neuropathy and development of a novel drug carrier system based on microbubble delvery
Khalifa University UAE
Cardiac Autonomic Neuropathy
University of Eastern Finland, Kuopio
Medical University, Graz Austria and University of Belgrade, Serbia
University of Belgrade, Serbia
Australian Collaborative Projects
All-in-One Diabetes Screening Diabetes Complications Screening Initiative (DiScRi) at Charles Sturt University, Albury, Australia. I established and coordinate DiScRi some 12 years ago for the New South Wales border area. I am investigating a new model of diabetes prevention and screening that incorporates the university’s expertise and experience in providing a part of diabetes health care to the local community using automated assessment procedures for diabetic retinopathy, heart disease and peripheral vascular disease. A multidisciplinary national and international team of researchers is associated with this research, which also provides the opportunity of allied health, primary health and students from clinical specialities to participate in a holistic, all-in-one screening program. Links have been established with Nationally, the Medical Schools of the University of Sydney (Assoc Prof Brett Hambly), and University of New South Wales (Assoc Prof Craig McLachlan) are involved principally with the cardiovascular and genetic analysis. These universities are contributing senior academic researchers, postdoctoral fellows and PhD students.
The School of Communication, Design and Information Technology from the University of Newcastle (Dr David Cornforth, Dr Marc Adam), the Laboratory for Parallel and Distributed Computing Lab at Deakin University (Prof Jemal Abawaji, Prof John Yearwood, Dr Shamsul Huda and Dr Morshed Chowdhury) and the Centre for Informatics and Optimisation, Federation University (Assoc Prof Andrew Stranieri) play a crucial role in developing datamining algorithms for classification of diabetes complications, specifically cardiac autonomic neuropathy.
The Department of Biomedical Engineering at Khalifa University (Dr Ahsan Khandoker, Assoc Prof Kinda Khalaf), are developing algorithms for analysis of the ECGs, EEGs and biomechanics.
PUBLICATIONS H.F. JELINEK
Google Scholar: Citations – 5806, h-index – 34; Research Gate: RG score – 40.36
Chapters in books
Journal articles (refereed)
Conference papers refereed
2017 Maleki, S., Marzbanrad, F., Warner P. and Jelinek, H.F. (2017) Use of heart rate variability infographies in identification of depression status complementing the Patient Health Questionnaire-9, IEEE Life Sciences Conference (LSC), Sydney, NSW, 2017, pp. 133-136. doi: 10.1109/LSC.2017.8268161
Dr Jelinek primarily contributes to providing a diabetes and cardiovascular health screening research program for rural communities. He offers an all-in-one, one-stop diabetes screening opportunity to the Border (Albury-Wodonga) community He is currently working in the UAE investigating depression, diabetes and cardiovascular disease in Emirati and Bedouin populations.