Dr Md Asaduzaman

Responsibilities

 

  • Lecturer in  Statistics and Operational Research

 

About Me

I obtained my first degree in Applied Statistics, then an MSc in Bioinformatics and PhD in Operational Research. I worked as a Lecturer of Applied Statistics from 2001-05 and 2010-13 as an Assistant Professor at the University of Dhaka, Bangladesh. My work mainly concentrates in queuing network type models for performance measure, capacity and resource planning and management in health care, telecommunication and other communication networks. I have published articles in operational research and statistics journals including European Journal of Operational Research, Journal of the Royal Statistical Society, Annals of Operations Research, Journal of Applied Statistics, etc. 
 

Qualifications

 

  • PhD Operational Research
  • MSc Bioinformatics
  • MSc Applied Statistics
  • BSc (Honors) Applied Statistics

Expertise

  • Operational research
  • Applied statistics and data analysis

Research Interests

  • I am mainly interested in loss model which is a special type of queuing model with zero buffer or without waiting space for performance measure, capacity and resource planning and management in health care, telecommunication and other communication networks where overflow may also arise
  • I have also interests in stochastic modelling mainly Markov process, semi-Markov process, space-time process in earth and environmental sciences 
     

Selected Publications

  • Asaduzzaman, M and Latif, AHMM (2014). A parametric Markov renewal model for predicting tropical cyclones in Bangladesh, Natural Hazards, DOI 10.1007/s11069-014-1101-z (published online)
  • Asaduzzaman, M and Chaussalet, TJ (2014). Capacity planning of a perinatal network using generalised loss network model with overflow, European Journal of Operational Research, Vol 232(1), pp 178-185. An earlier version of the paper titled "A generalized loss network model with overflow for capacity planning of a perinatal network" can be found at arXiv
  • Asaduzzaman, M and Chaussalet, TJ (2011). An overflow loss network model for capacity planning of a perinatal network, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol 174(2), pp 403-417
  • Asaduzzaman, M, Chaussalet, TJ, Adeyemi, S, Chahed, S, Hawdon, J, Wood, D and Robertson, NJ (2010).Towards effective capacity planning in a perinatal network centre, Archives of Disease in Childhood, Vol 95(4), pp F283-F287
  • Asaduzzaman, M, Chaussalet, TJ and Robertson, NJ (2010). A loss network model with overflow for capacity planning of a neonatal unit, Annals of Operations Research, Vol 178(1), pp 67-76
  • Adeyemi, S, Chaussalet, TJ, Xie, H and Asaduzzaman, M (2010). Random effects models for operational patient pathways Journal of Applied Statistics, Vol 37(4), pp 691-701


Book chapter

  • Asaduzzaman, M and Latif, AHMM (2014). Forecasting tropical cyclones in Bangladesh: a Markov renewal approach Computational intelligence techniques in earth and environmental sciences, Islam T, Gupta M, Mukherjee S, Zhu X, Srivastava P. (Eds.), Chapter 7, page 129-140
    See full list of publications in Google Scholar
  • Honors and awards

    Dean's Honour Award 2012, University of Dhaka, Bangladesh ]
  • Runner-up of the Best PhD in 2010 by the Operational Research Society, UK (awarded in September 2011)

Collaborators

  • Prof Thierry Chaussalet , University of Westminster, UK
  • Prof Mahbub Latif, University of Dhaka, Bangladesh

Invited talks

  • OR53, Annual Conference of the Operational Research Society, 6-8 September 2011, University of Nottingham, Nottingham, UK 
  • First International Conference on Theory and Applications of Statistics, 26-28 December 2010, University of Dhaka, Bangladesh   

 


 

Current Teaching

  • CESENG61030-4 (Operational Research for Manufacturing)
  • CE63000-6 (Statistical Modelling)
  • CE62004-5 (Survey Design and Statistical Inference)
  • CESENG62007-5 (Probability Modelling)
  • CE62024-5 (Questionnaire Design and Data Analysis)
  • CE1012-4 (Introduction to Statistics and Probability) .

Contact

Dr Md Asaduzzaman
School of Engineering (Corporate Programmes and Maths)
Faculty of Computing, Engineering & Sciences
School of Engineering
Mellor Building
College Road
Stoke-on-Trent
ST4 2DE

t: +44 (0)1782 294707
e: md.asaduzzaman@staffs.ac.uk