Dr Jahar Bhowmik
- Faculty of Health, Arts & Design
- School of Health Sciences
- Department of Statistics Data Science and Epidemiology
- ATC1029 Hawthorn campus
Jahar Bhowmik joined at Swinburne University of Technology in February 2007. He 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 Statistical Inference, Biostatistical Data Modelling (smoking related cancer), 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 convener for postgraduate applied statistics programs. Jahar supervises PhD and masters students in many areas including applied epidemiology, biostatistics, experimental design (response surface methodology) and heath related data modeling. So far he has co-authored on around 60 peer reviewed publications, and two book chapters.
Ongoing research projects include:
1) Investigating whether porphyrin profiles can reliably be used as a biomarker to detect Autism Spectrum Disorder (ASD) cases.
2) Study of insulin resistance among the chronic kidney disease patients and malignancy suffers and correlation with acute ischaemic heart disease.
3) Impact of life stories on aged care staff attitudes.
4) Application of response surface methodology in polymer technology.
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
* Application of response surface methodology
* The Use of Maximal Invariant Based Likelihoods in Linear and Non-linear Regression Models
*Interpolating Missing Values Using Spline Smoothing:A Big Data Approach in Multivariate Time series
Available to supervise honours students.
Honours topics and outlines
1. Role of physical activity and changes in physical activity from childhood into adulthood: Children and young people's participation in physical activity is important for their healthy growth and development. It can reduce the risk of chronic conditions (for example, obesity) and improve their general health and wellbeing.
2. Are Urinary Porphyrins a Valid Diagnostic Biomarker of Autism Spectrum Disorder?
Fields of Research
- Applied Statistics - 010401
- Other Medical And Health Sciences - 119900
- Statistical Theory - 010405
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
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
- 2018: ANZ Data Analytics INT355;AMSI Intern Program - Student : Penny Li *; Australian Mathematical Sciences Institute Intern Program
- 2018: Dementia Essentials: Evaluation of knowledge, attitudes and practice outcomes *; Dementia Australia Ltd
- 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 serviceoutcomes for people with low vision or blindness *; Melbourne-Sarawak Collaborative Research Development Scheme
* Chief Investigator
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