Dr Md Asaduzzaman

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

• 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

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].

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:

https://www.mdasad.com/