Associate Professor Jahar Bhowmik
Associate Professor Jahar Bhowmik received a PhD degree in Applied Statistics and Econometrics from Monash University, Australia in 2004. Before joining at Swinburne Jahar worked as a biostatistician at Menzies Research Institute at Tasmania University in Hobart and as a postdoctoral fellow at Monash University in Melbourne. His research interests are Applied Epidemiology, Public Health, Statistical Inference, Biostatistical Data Modelling, Econometrics, Time Series and Forecasting, and Experimental Design. Jahar teaches into the under-graduate and post-graduate programs in the field of Applied Epidemiology, Biostatistics, Design and Measurement, Research Design, and Forecasting at Swinburne University of Technology, also offering short statistics courses tailored to the needs of delegates and statistical consulting. He is the current course director for postgraduate applied statistics programs. Jahar supervises PhD and masters students in many areas including applied epidemiology, biostatistics, experimental design, public health and health related data modeling. He has published in prestigious journals including PLOS ONE, Autism Research, BMJ Open, International Journal of Public Health, Disability and Rehabilitation, Measurement, Materials and Journal of Public Health. So far he has co-authored on around 85 peer reviewed publications, and three book chapters. Jahar (with others from Swinburne) has been successful in bids as a chief investigator to secure over $800,000 research funding and a $985,750 NHMRC targeted project grant as an associate investigator.
Jahar is currently the topic editor of the special issue 'Analytics and Modelling Clinical Data Using Advanced Biostatistics Methods' linke with five high ranked MDPI journals and a Guest Editor of the high impact peer-reviewed journal International Journal of Environmental Research and Public Health.
Ongoing research projects include:
1) Assessment of Sustainable Development Goals 3.1, 3.2, 3.7, 5.1 and 5.2 through their indicators.
2) Socio-demographic factors associated with intimate partner violence in the low-and-middle-income countries (LMIC).
3) Effect of health awareness on accessing skilled birth attendant services in the low- and-middle-income countries (LMIC).
4. Trajectories and key social determinants of maternal health service access and utilisation, in low- and-middle-income countries (LMIC).
5) Evaluating a wellbeing clinic to support older adults with mild to moderate dementia living in residential aged care settings.
6) Pregnancy, Birth, Infant Feeding and Child Health Outcomes.
Biostatistics; Applied Statistics; Health Related Data Modeling; Applied Epidemiology; Time Series and Forecasting
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Principal Supervisor.
PhD topics and outlines
1. Effect of health awareness on accessing skilled birth attendant services in the low- and-middle-income countries (LMIC)
2. Assessment of Sustainable Development Goals 3.1, 3.2, 3.7, 5.1 and 5.2 through their indicators
3. Socio-demographic factors associated with intimate partner violence in the low-and-middle-income countries (LMIC)
4. HIV/AIDS knowledge and its transmission and misconception among women in LMIC
Available to supervise honours students.
Honours topics and outlines
1. Trajectories and key social determinants of maternal health service access and utilisation, in low- and-middle-income countries (LMIC)
2. Pregnancy, Birth, Infant Feeding and Child Health Outcomes
3. Analysing expenditure patterns and trends of the Australian Medicare Benefits Schedule (MBS)
Fields of Research
- Statistics - 490500
- Health Services And Systems - 420300
- Public Health - 420600
Biostatistics;Applied Statistics;Experimental Design;Time Series and Forecasting;Research Design
- 2016, Swinburne, Vice Chancellor's 2016 Teaching Excellence Award (Higher Education), Swinburne University of Technology
- 2012, Swinburne, Faculty Teaching Citation Award for Outstanding Contribution to Student Learning, Swinburne University of Technology
- 2011, National, Australian Learning and Teaching Council Citation award (2011), ALTC, Australia
- 2010, Swinburne, Faculty Team Teaching Excellent Award, Swinburne University of Technology
- 2020 (current): Member, Australian Statistical Society Planning Committee, Australia
- 2017 (current): Member, Science in Australia Gender Equity (SAGE) Steering Committee, Australia
Also published as: Bhowmik, Jahar; Bhowmik, J.; Bhowmik, J. L.; Bhowmik, Jahar L.; Bhowmik, Jahar Lal
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.
Recent research grants awarded
- 2023: Investigating support needs of NDIS participants and profiling end-users of vision-related assistive technology *; Aria Research Pty Ltd Fund Scheme
- 2022: Application of Bayesian Methodology to Aviation Safety Data *; Civil Aviation Safety Authority
- 2022: Digital Story Project *; The Aged Persons Welfare Foundation
- 2022: Educational resources and group therapy programs for residential aged care *; Better Place Australia Fund Scheme
- 2020: Dementia Essentials: comparing face-to-face learning with online learning *; Dementia Australia Ltd
- 2020: The National Telehealth Counselling and Support Service for family and professional carers of older adults in aged care residential settings: An implementation study *; Barbara Dicker Brain Science grant
- 2018: Victorian HIV treatment options: sustainable funding and payment for antiretroviraltreatments (Student: Mulu Woldegiorgis) *; Australian Mathematical Sciences Institute Intern Program
- 2017: Evaluating a wellbeing clinic to support older adults with mild to moderate dementia living in residential aged care settings *; Australian Government Department of Health
- 2016: Optimising technology to measure functional vision, mobility and service outcomes for people with low vision or blindness *; Melbourne-Sarawak Collaborative Research Development Scheme
* Chief Investigator
There are no media items to display