Dr. Mohammad Lutfor Rahman

Professor

Office: Room No. 301
Phone:
Email: lutfor@isrt.ac.bd



Currently Teaching
  • AST 519: Analysis of Longitudinal Data (MS Applied Statistics)
  • AST 531: Statistical Computing II (MS Applied Statistics)
  • AST 230: Statistical Computing III: R and Matlab (Second Year Applied Statistics)
Current Research Students

MS Thesis students: Faisal Ahamed Seyam, Farhad Uddin Ovi

BS Honours students:

Research Interests and Approaches in Research

Most of my researches are driven by real life problems. In reserach, my preferred approach is to solve problems in a pragmatic way through statistical tools. The broad areas where my interests are pointed are design of experiments including optimal design, Bayesian analysis, public health, bostatistics, epidemiology, and spatial analysis.

My current master research students are working at the areas of longitudinal and spatial analyses. Undergraduate students are working at the areas of time series and public health.

I am interested to receive potential PhD students in any areas of applied statistics. Interested and prospective students can contact me at lutfor@isrt.ac.bd and discuss their topic and  funding issues.

 


My Academic Profile

Education
 Academic Advisors

PhD advisor: Professor Steven G. Gilmour;  Post-doc advisor: Carla Nunes; MSc Statistics advisor: Ian Dryden; MSc Applied Statistics advisor: Mushfiqur Rahman

Academic Honours
  • Post-doctoral Fellowship (2017-2018), National School of Public Health, NOVA University of Lisbon, Portugal
  • Doctoral Training Accounts (DTA) Scholarship (2009-2013), Queen Mary University of London, United Kingdom
  • University College London (UCL) Studentship (2008-2009), United Kingdom
  • Commonwealth Shared Scholarship (2006-2007), The University of Nottingham, United Kingdom
  • Merit Scholarship (1998), Dept. of Secondary and Higher Secondary Education, Bangladesh
  • Junior School Scholarship (1989), Primary School Scholarship (1986)
Conferences Attended
  • Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018 held at Melbourne Convention and Exhibition Centre, Australia, 26-30 August, 2018.
  • Commonwealth Science Conference 2017 held at Singapore, 13-16 June, 2017.
  • International Network for Government Science Advice (INGSA) South East Asia Capacity Building Workshop, held at Johor Bahru, Malaysia, 11-12 June, 2017.
  • Quantitative Methods for Public Health Researchers of the SAARC Countries, University of Calcutta, India, 28-30 December, 2016.
  • The Second International Conference on Statistics, University of Dhaka, Bangladesh, 27-29 December, 2015.
  • Design and Analysis of Experiments (DAE) Conference 2012 at University of Georgia,Athens, USA, 17-20 October, 2012.
  • Young Statisticians’ Meeting 2012 arranged by MRC Biostatistics Unit, University of Cambridge, United Kingdom, 2-3 April, 2012.
  • Designed Experiments: Recent Advances in Methods and Applications (DEMA 2011)  held at Isaac Newton Institute for Mathematical Sciences, Cambridge, United Kingdom, 30 August – 2 September, 2011.
  • Summer School on Statistical Experimental Design held at Almagro, Ciudad Real, Spain, 6-10 June, 2011.
  • 10th Annual Conference of European Network of Business and Industrial Statistics
    (ENBIS 10), The University of Antwerp, Belgium, 12-16 September, 2010.
Talks Given
  • Network and survival analyses applied to tuberculosis, National School of Public Health, NOVA University of Lisbon, Portugal, 23 January, 2019.
  • Probability-based Optimal Designs to Deal with Separation at Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018′, Melbourne Convention and Exhibition Centre, Australia, 29 August, 2018.
  • Modeling Gestational Age: Linear Model, Lack of Fit, and Nonlinear Model, National School of Public Health, NOVA University of Lisbon, Portugal, 07 December, 2017.
  • Bayesian Analysis of Small Industrial Experiments, The Second International Conference on Statistics organized by DUSDAA, University of Dhaka, Bangladesh, 27-29 December, 2015.
  • Optimal Designs with Separation Problems, QUIPs talk at School of Mathematical Sciences, Queen Mary, University of London, United Kingdom, 12 December, 2013.
  • Bayesian Analysis of Categorical Data from Multi-Stratum Designs’ at Young Statisticians’ Meeting (YSM 2012) arranged by MRC Biostatistics Unit, University of Cambridge, United Kingdom, 2-3 April, 2012.
  • Multi-stratum and split-plot designs in Industrial experiments at Institute of Statistical Research and Training, University of Dhaka, Bangladesh, 26 November, 2011.
  • Multi-stratum designs with categorical responses at School of Mathematical Sciences, Queen Mary, University of London, United Kingdom, 22 November, 2010.
Posters Presented
  • Determination of Gestational Age in Bangladeshi Population at International Statistical Institute and University of Calcuttas Workshop on Quantitative Methods for Public Health Researchers of the SAARC Countries, University of Calcutta, India,  28-30 December, 2016.
  • Probability-Based Optimal Design with Separation Problems at Design and Analysis of Experiments (DAE) Conference 2012, University of Georgia at Athens, USA, 17-20 October, 2012.
  • Bayesian Analysis of Categorical Data from Multi-stratum Designs at `Designed Experiments: Recent Advances in Methods and Applications (DEMA 2011) conference held at Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, 30 August – 2 September, 2011.
  • Multi-stratum Designs with Categorical Responses at the 10th Annual Conference of European Network of Business and Industrial Statistics (ENBIS 10) at The University of Antwerp, Belgium, 12-16 September, 2010.
Publications

My published works can be found here.

Under Preparation or Submitted Works
  • Rahman ML., and Nunes C (2019). Transmission network analysis of infectious disease: a case-study
    from tuberculosis networks in Portugal (to be submitted soon)
  • Rahman ML., and Nunes C (2019). Factors inuencing tuberculosis delays in Portugal (to be submitted soon)
  • Rahman ML., Gilmour, SG., and Goos, Peter (2019). Bayesian Analysis of Categorical Data from Split-Plot and Multi-Stratum Industrial Experiments (has been submitted)
  • ML Rahman, Gilmour SG, Zemroch Peter, and MM Ziman Pauline (2019). Bayesian Analysis of Fuel Economy Experiments (to be submitted)
  • ML Rahman, Gilmour SG, Zemroch Peter, and MM Ziman Pauline (2019). Bayesian Analysis of Round Robin Experiments (to be submitted)
  • ML Rahman and Gilmour SG (2019). Probability-based optimal designs with separation problems (has been submitted)
  • ML Rahman and Gilmour SG (2019). Bayesian optimal designs with separation problems (under preparation)
  • Rashid HO, Rahman ML., and Gilmour SG. (2019) Simulation and Bootstrapping Methods in Mixed Cumulative Ordered Logit Analysis (under preparation)
  • Islam, K. S. and Rahman ML. (2019) Twin Babies under the Spectacles of Statistics (to be submitted)
My Theses
  • PhD Thesis in Statistics: ‘Bayesian Analysis of Multi-Stratum Designs and Probability-based Optimal Designs with Separation’, School of Mathematical Sciences, Queen Mary University of London, United Kingdom.
  • MSc Thesis in Statistics: ‘Statistical analysis of single nucleotide polymorphisms, with applications to Alzheimer’s disease’, School of Mathematical Sciences, The University of Nottingham, United Kingdom.
  • MSc Thesis in Applied Statistics: ‘Generalized Estimating Equation With Missing Covariates and Application to Diabetes Mellitus Data’, Institute of Statistical Research and Training, University of Dhaka