Dr Md Asaduzzaman

Associate Professor

School of Digital, Technologies and Arts

I am currently an Associate Professor in Operational Research at Staffordshire University, Stoke-on-Trent, U.K., where I joined as a Lecturer in 2014, and was promoted to Senior Lecturer in 2017. I have a background in Statistics and Operational Research (OR).

I received the B.Sc. (Hon’s) and M.Sc. degree in Applied Statistics from the University of Dhaka, Dhaka, Bangladesh, in 1999 and 2001, respectively, the M.Sc. degree in Bioinformatics from the Chalmers University of Technology, Gothenburg, Sweden, in 2007, and the Ph.D. degree in Operational Research from the University of Westminster, London, UK, in 2010.

I teach mathematics, statistics, and operational research modules at the Department of Engineering. I am also involved in research. I apply analytics tools, mainly, Stat, OR, and ML techniques in healthcare, communication networks and environmental sciences. These include, more specifically, [1] identification of specific risk groups, length of stay (LOS) prediction, capacity and resource design, plan and management (in healthcare); [2] performance measure and resource optimisation (in communication networks); [3] risk assessment and prediction of precipitation, temperature, and natural disasters including floods, cyclones, etc. (in environmental sciences).

Professional memberships and activities

  • Senior Member of the IEEE (SMIEEE)
  • Associate Fellow of the Operational Research Society (AFORS)
  • Fellow of the Higher Education Academy (FHEA)

Academic qualifications

  • PhD in Operational Research, "Capacity planning for a neonatal hospital network" University of Westminster, 2010
  • MSc in Bioinformatics, Chalmers University of Technology, 2007
  • MSc in Applied Statistics, University of Dhaka, 2001
  • BSc (Hon’s) in Applied Statistics, University of Dhaka, 1999


  • Statistics (Modelling and Data Analysis)
  • Operational Research (Stochastics, Optimisation and Simulation)
  • Machine Learning Techniques

Research interests

My primary research interest is: [1] healthcare modelling, I am also interested in: [2] communication networks and [3] environmental sciences.


External funding: [1] NuRS & AmReS: “Nurse and ambulance workforce retention and safety”, funded by Health Foundation, PI: Dr. S Jones (Staffordshire University) £457,946, 2020-23, Role: QA & DA. [On-going]. [2] PCaPMRI: “A novel prediction tool to predict prostate cancer (PCa) aggressiveness from double inversion recovery magnetic resonance imaging (DIR-MRI) and Multi-parametric MRI (mpMRI) techniques”, funded by North Staffordshire Medical Institute (NSMI), £8,000, 2021-22, Role: Statistician. [Completed]. [3] COVAC-IC: A single-centre, observational study to evaluate immune response to Covid-19 vaccines in immunocompromised patients with haematological disorders, funded by UHNM NHS Trust, £15,497, 2021-22, Role: Statistician. [Completed]. [4] Smart with Your Heart: Listening to the messages from Patients with Heart Failure, funded by InnovateUK, £1.2m, 2019-20, Role: Statistician [Completed]. [5] “Reducing overcrowding in emergency department by facilitating better discharge planning”, funded by North Staffordshire Medical Institute (NSMI), £14,988, 2018-19, Role: PI (Joint). [Completed].

Enterprise and commercial interests

I worked/have been working in various industry/commercial projects as a [1] Statistical Consultant where data collection, analysis and report writing are involved, and [2] Consultant for design, optimisation and management of resources.


I teach mathematics, statistics, and operational research modules at the Department of Engineering. Some of my core teaching modules are:

  • MATH31000: Foundation Quantitative Methods
  • MATH40374: Operational Research for Manufacturing
  • MATH41010: Introduction to Engineering Mathematics (A-Level)
  • MECH60379: Systems Engineering DL 


I have over 50 international publications including 33 journal papers in top operational research, statistics, and engineering areas. Some selected journal papers are -

[12] Hamed MM, Nashwan MS, Shahid S, Wang XJ, Ismail TB, Dewan A and Asaduzzaman M (2022). Future Köppen-Geiger climate zones over Southeast Asia using CMIP6 Multimodel Ensemble, Atmospheric Research, 106560.

[11] Dewan A, Shahid S, Bhuian MH, Hossain SMJ, Nashwan M, Chung E, Hassan QK and Asaduzzaman M (2022). Developing a high-resolution gridded rainfall product for Bangladesh during 1901-2018, Scientific Data, Published online.

[10] Hamed MM, Nashwan MS, Shahid S, Ismail TB, Dewan A and Asaduzzaman M (2022). Thermal bioclimatic indicators over Southeast Asia: present status and future projection using CMIP6, Environmental Science and Pollution Research, Published online.

[9] Abozariba R., Asaduzzaman M, Patwary M, Naeem MK, Nawaz SJ. and Sharma SK (2022). Secondary spectrum allocation framework via concurrent auctions for 5G and beyond networks, Wireless Networks, 28, 1489–1504.

[8] Davy A, Hill T, Jones S, Dube A, Lea SC, Watts KL and Asaduzzaman M (2021). A predictive model for identifying patients at risk of delayed transfer of care: a retrospective, cross-sectional study of routinely collected data. International Journal for Quality in Health Care, 33(3), mzab130.

[7] Hamed MM, Nashwan MS, Shahid S, Ismail T, Wang X, Dewan A and Asaduzzaman M (2021). Inconsistency in historical simulations and future projections of temperature and rainfall: A comparison of CMIP5 and CMIP6 models over Southeast Asia, Atmospheric Research, 105927.

[6] Nawaz SJ, Sharma SK, Wyne S, Patwary M and Asaduzzaman M (2019). Quantum machine learning for 6G communication networks: state-of-the-art and vision for the future, IEEE Access, 7(1), 46317-46350.

[5] Asaduzzaman M, Raouf A and Patwary MN (2018). Dynamic spectrum sharing optimization and post-optimization analysis with multiple operators in cellular networks, IEEE Transactions on Wireless Communications, 17(3), 1589- 1603.

[4] Raouf A, Asaduzzaman M and Patwary MN (2017). Radio resource sharing framework for cooperative heteroge- neous networks with dynamic overflow modelling, IEEE Transactions on Vehicular Technology, 66(3), 2433–47.

[3] Asaduzzaman M, and Chaussalet TJ (2014). Capacity planning of a perinatal network with generalised loss model with overflow, European Journal of Operational Research, 232(1), 178–185.

[2] 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, 174(2), 403–417.

[1] 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, 178(1), 67–76.

See my Google Scholar profile for full list of publications:

https://scholar.google.co.uk/citations?hl=en&user=Hj3e5RsAAAAJ&view_op= list_works&sortby=pubdate

Visit my personal site for more details of my research, publications and funding:


External profiles

in the UK for Quality Education

Sustainable Development Goal 4, Times Higher Education Impact Rankings 2023

for Career Prospects

Whatuni Student Choice Awards 2023

for Facilities

Whatuni Student Choice Awards 2023

for Social Inclusion

The Times and The Sunday Times Good University Guide 2023

of Research Impact is ‘Outstanding’ or ‘Very Considerable’

Research Excellence Framework 2021

of Research is “Internationally Excellent” or “World Leading”

Research Excellence Framework 2021

Four Star Rating

QS Star Ratings 2021