Dr Md Asaduzzaman

Associate Professor

School of Digital, Technologies and Arts

I have been working in academia for about 20 years with a strong background in Operational Research and Statistics. I joined as a Lecturer in Statistics and Operational Research at Staffordshire University in 2014 and was promoted to Senior Lecturer in 2017. In 2020, I was conferred as Associate Professor in Operational Research.

I am research-active; my research is motivated by real-world problems and falls under three themes: ‘Health & Wellbeing’, ‘Wireless Communication for the Future’ and ‘Environmental Sustainability and Resilience’. I have secured funding from the Innovate UK, European Erasmus Programme and local charities. I have been publishing articles in top operational research, statistics and engineering journals including European Journal of Operational Research, Annals of Operations Research, Journal of the Royal Statistical Society, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, Sustainable Cities and Society, Atmospheric Research, Natural Hazards, etc.

I am currently an Associate Editor of “IEEE Access” and an Academic Editor of “PLOS ONE”. I received several awards, including the first runner-up prize of “The Doctoral Award” in 2011 from the Operational Research Society UK, and the “Dean’s Honour Award” from the University of Dhaka in 2013 for my paper in the Journal of the Royal Statistical Society.

I am the joint lead of the clinical and operational research stream of the University’s Research into Safety Network.

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


  • Queueing models
  • Optimisation models
  • Statistical modelling and analysis
  • Machine learning techniques

Research interests

  • Healthcare research
  • Telecommunications
  • Environmental sciences

Enterprise and commercial interests

I worked previously and am currently working on several funded projects with the NHS. During 2007-10, I worked with five London hospitals: UCLH, Royal Free, Whittington, Barnet and Chase Farm hospital for neonatal bed capacity planning.

Currently, I am working on ‘Smart with Your Heart’ -heart testbed project at the University Hospitals of North Midlands (UHNM) – a £1.2m Innovated UK funded project. I have been also leading another project ‘Smart scheduling and patient-flow’ at the emergency department, University Hospitals of North Midlands (UHNM) for which we have been awarded the North Staffordshire Medical Institute Grant.


  • Foundation Quantitative Methods (UG)
  • Operational Research for Manufacturing (UG)
  • Introduction to Engineering Mathematics (UG)
  • Systems Engineering (UG)
  • Research Methods (PG)
  • Statistical Computing with R (PhD Students and Staff)


(Selected Journal Papers:)

Noor M, Ismail T, Shahid S, Asaduzzaman M, Dewan A (2020). Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia, Atmospheric Research, 105203. https://www.sciencedirect.com/science/article/pii/S016980952031139X?via%3 Dihub

Pour SH, Wahab AKA, Shahid S, Asaduzzaman M, Dewan, A (2020). Low Impact Development Techniques to Mitigate the Impacts of Climate-Change-Induced Urban Floods: Current Trends, Issues and Challenges, Sustainable Cities and Society, 62, 102373. https://www.sciencedirect.com/science/article/abs/pii/S2210670720305941 

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. https://ieeexplore.ieee.org/document/8681450

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. https://ieeexplore.ieee.org/document/8214972

Raouf A, Asaduzzaman M and Patwary MN (2017). Radio resource sharing framework for cooperative multi-operator networks with dynamic overflow modelling, IEEE Transactions on Vehicular Technology, 66(3), 2433-2447. https://ieeexplore.ieee.org/document/7496917

Asaduzzaman M and Latif AHMM (2014). A parametric Markov renewal model for predicting tropical cyclones in Bangladesh, Natural Hazards, 73(2), 597-612. https://link.springer.com/article/10.1007/s11069-014-1101-z

Asaduzzaman M and and Chaussalet TJ (2014). Capacity planning of a perinatal network using generalised loss network model with overflow, European Journal of Operational Research, 232(1), 178-185. https://www.sciencedirect.com/science/article/abs/pii/S0377221713005444

Asaduzzaman M and 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), 174(2), 403-417. https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-985X.2010.00669.x

Asaduzzaman M , Adeyemi S, 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, 95(4), F283-F287. https://fn.bmj.com/content/95/4/F283.full

Asaduzzaman M, Chaussalet TJ (2010). A loss network model with overflow for capacity planning of a neonatal unit, Annals of Operations Research, 178(1), 67-76. https://link.springer.com/article/10.1007/s10479-009-0548-x

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:


UK University

StudentCrowd University Awards 2022

for Job Prospects

StudentCrowd University Awards 2022

for Student Satisfaction

Complete University Guide 2022

for Social Inclusion

The Times and The Sunday Times Good University Guide 2023

for Course Content

StudentCrowd University Awards 2022

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

Research Excellence Framework 2021