Md Asaduzzaman

Md Asaduzzaman
Staffordshire University | SU · Automotive, Engineering, Maths and Technology

BSc (Hon's), MSc, PhD

About

61
Publications
25,113
Reads
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685
Citations
Introduction
(Asad) Md Asaduzzaman is an Associate Professor in Operational Research with Staffordshire University, UK.
Additional affiliations
September 2020 - present
Staffordshire University
Position
  • Professor (Associate)
May 2017 - August 2020
Staffordshire University
Position
  • Lecturer
February 2014 - May 2017
Staffordshire University
Position
  • Lecturer

Publications

Publications (61)
Article
In recent years the use of remotely sensed precipitation products in hydrological studies has become increasingly common. The capability of the products in producing rainfall intensity-duration-frequency (IDF) relationships, however, has not been examined in any great detail. The performance of four remote-sensing-based gridded rainfall data proces...
Article
Full-text available
A high-resolution (1 km × 1 km) monthly gridded rainfall data product during 1901–2018, named Bangladesh Gridded Rainfall (BDGR), was developed in this study. In-situ rainfall observations retrieved from a number of sources, including national organizations and undigitized data from the colonial era, were used. Leave-one-out cross-validation was us...
Article
Full-text available
Mapping potential changes in bioclimatic characteristics are critical for planning mitigation goals and climate change adaptation. Assessment of such changes is particularly important for Southeast Asia (SEA) — home to global largest ecological diversity. Twenty-three global climate models (GCMs) of Coupled Model Intercomparison Project Phase 6 (CM...
Article
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Changes in precipitation and temperature have crucial implications in the arid region due to their fragile environment. This study was an attempt to estimate possible spatiotemporal alteration of annual and seasonal precipitation and temperature in Iraq. Statistical downscaling of coupled model intercomparison project (CMIP6) global climate model (...
Article
Full-text available
Non-Orthogonal Multiple Access (NOMA) is a promising technology for future-generation wireless systems, with potential to contribute to the improvement of spectral efficiency. NOMA groups users into clusters, based on channel gain-difference. However, user mobility continuously changes the channel gain, which often requires re-clustering. In this p...
Article
Full-text available
This study examined selected disease burdens in Bangladesh associated with particulate matter exposure using gridded population and PM2.5 data between 2001 and 2019. The Global Exposure Mortality Model (GEMM) was used to determine hazard ratio (HR) and disease specific mortality. Besides, trend of PM2.5 and selected diseases were evaluated. Results...
Article
Full-text available
Due to the dramatic increase of spectrum demand, efficient usage of the limited spectrum resources has become a crucial issue for the next-generation wireless networks. Auction-based spectrum trading, utilization and pricing have many promising features and have proven to be a fair and consistent way of secondary spectrum trading and management. In...
Article
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It is vital to quantify the changes in the IDF relationship due to climate change for designing climate-resilient urban hydraulic structures. Such projections are also important for ungauged locations due to the possible urban expansion or human settlements. This work proposed a method for IDF curve construction with associated uncertainty at ungau...
Article
The objective of this research was to assess the difference in historical simulations and future projections of rainfall and temperature of CMIP5 (RCP4.5 and 8.5) and CMIP6 (SSP2–4.5 and 5–8.5) models over Southeast Asia (SEA). Monthly historical rainfall and temperature estimations of 13 global climate models common to both CMIPs were evaluated to...
Article
Full-text available
The upcoming beyond 5G (B5G)/6G wireless networks target various innovative technologies, services, and interfaces such as edge computing, ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology-enabled inter-chip high-capacity communications, to name a few. Although there are ongoing advance...
Conference Paper
Using a large, publicly-available dataset [1], we extract over 51 million product reviews. We split and associate each word of each review comment with the review score and store the resulting 3.7 billion word-and score pairs in a relational database. We cleanse the data, grooming the dataset against a standard English dictionary, and create an agg...
Article
Full-text available
Background Delays to the transfer of care from hospital to other settings represent a significant human and financial cost. This delay occurs when a patient is clinically ready to leave the inpatient setting but is unable to because other necessary care, support or accommodation is unavailable. The aim of this study was to interrogate administrativ...
Conference Paper
In this paper, user scheduling for distributed massive multiple-input multiple-output (DM-MIMO)/cell-free networks is studied by using the COST 2100 channel model. Two notable user scheduling algorithms, namely Geometry-based User Scheduling (GUS) and Greedy Weight Clique (GWC) are employed. The performance of both the algorithms is studied in term...
Conference Paper
Database queries are stored and compared by relational database management systems as hashes, or short unique representations, of the original query text. This leads to cache misses and increased resource consumption by database engines when queries differing only in non-syntactic detail, or queries which are relation-ally equivalent, are presented...
Article
Full-text available
Accurate representation of precipitation over time and space is vital for hydro-climatic studies. Appropriate selection of gridded precipitation data (GPD) is important for regions where long-term in situ records are unavailable and gauging stations are sparse. This study was an attempt to identify the best GPD for the data-poor Amu Darya River bas...
Preprint
div>The upcoming beyond 5G (B5G) wireless networks target various innovative technologies, services, and interfaces such as edge computing (EC), ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology-enabled inter-chip communications, and high capacity links. Although there are ongoing advan...
Article
Full-text available
Geographically weighted Poisson regression models (GWPR) are the class of spatial count regression models that capture the localisation effect on various influencing factors on the dependent variable. The main challenge with the GWPR models is to set appropriate kernel function to give weights for each neighbouring point during the model calibratio...
Article
The provision of high resolution near real-time rainfall data has made satellite rainfall products very potential for monitoring hydrological hazards. However, a major challenge in their direct-use can be problematic due to measurement error. In this study, an attempt was made to correct the bias of Global Satellite Mapping of Precipitation near-re...
Article
Full-text available
A major challenge in flood mapping using multi-criteria decision analysis (MCDA) is the selection of the flood risk factors and the estimation of their relative importance. A novel MCDA method through the integration of two state-of-the-art MCDA methods based on catastrophe and entropy theory is proposed for mapping flood risk in the Peninsular Mal...
Preprint
The upcoming beyond 5G (B5G) wireless networks target various innovative technologies, services, and interfaces such as edge computing (EC), ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology-enabled inter-chip communications, and high capacity links. Although there are ongoing advances...
Preprint
div>The upcoming beyond 5G (B5G) wireless networks target various innovative technologies, services, and interfaces such as edge computing (EC), ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology-enabled inter-chip communications, and high capacity links. Although there are ongoing advan...
Article
Full-text available
This paper aims to explore Key Influencing Factors (KIFs) from the perspective of national ERP vendors throughout pre-implementation and during implementation of ERP projects. We conducted a mixed methods study on 10 national ERP vendors involved in government sector projects in Saudi Arabia. KIFs were identified through in-depth interviews and pri...
Preprint
Relational database management systems are responsible for storing, managing, and providing access to persisted data for applications and individual users. Although a mature technology, there remains a severe performance issue within the database engine; as data influx continues to scale and object-relational mapping (ORM) frameworks become the nor...
Article
The object-relational impedance mismatch (ORIM) problem characterises differences between the object-oriented and relational approaches to data access. Queries generated by object-relational mapping (ORM) frameworks are designed to overcome ORIM difficulties and can cause performance concerns in environments which use object-oriented paradigms. The...
Article
The severity and frequency of short-duration, but damaging, urban area floods have increased in recent years across the world. Alteration to the urban micro-climate due to global climate change impacts may also exacerbate the situation in future. Sustainable urban stormwater management using low impact development (LID) techniques, along with conve...
Article
Full-text available
Wi-Fi technology has strong potentials in indoor and outdoor sensing applications; it has several important features which makes it an appealing option compared to other sensing technologies. This study presents a survey on different applications of Wi-Fi-based sensing systems such as elderly people monitoring, activity classification, gesture reco...
Article
Full-text available
Water is gradually becoming scarce in Afghanistan like in many other regions of the globe. The objective of this study was to evaluate the spatial changes in the availability and sustainability of water resources in Afghanistan. The Terrestrial Water Storage (TWS) data of the Gravity Recovery and Climate Experiment (GRACE) satellite obtained from t...
Conference Paper
The NHS England sets out the target that 95% of people attending Accident & Emergency Departments are seen within four hours. The delay in discharge is often, not due to a lack of beds, but an inability of the system to flex to the peaks in demand and to be proactive in organising home care for patients in advance of discharge. Using a modified Gla...
Article
Full-text available
The upcoming 5th Generation (5G) of wireless networks is expected to lay a foundation of intelligent networks with the provision of some isolated Artificial Intelligence (AI) operations. However, fully-intelligent network orchestration and management for providing innovative services will only be realized in Beyond 5G (B5G) networks. To this end, w...
Preprint
Full-text available
Wi-Fi technology has strong potentials in indoor and outdoor sensing applications, it has several important features which makes it an appealing option compared to other sensing technologies. This paper presents a survey on different applications of Wi-Fi based sensing systems such as elderly people monitoring, activity classification, gesture reco...
Preprint
People localization is a key building block in many applications. In this paper, we propose a deep learning based approach that significantly improves the localization accuracy and reduces the runtime of Wi-Fi based localization systems. Three variants of the deep learning approach are proposed, a sub-task architecture, an end-to-end architecture,...
Conference Paper
Full-text available
This paper considers the impact of object-relational mapping (ORM) tools on relational database query performance. ORM tools are widely used to address the object-relational impedance mismatch problem but can have negative performance consequences. We first define the background of the problem, describing the growth of ORM tools against a backdrop...
Preprint
Full-text available
People localization is a key building block in many applications. In this paper, we propose a deep learning based approach that significantly improves the localization accuracy and reduces the runtime of Wi-Fi based localization systems. Three variants of the deep learning approach are proposed, a sub-task architecture, an end-to-end architecture,...
Conference Paper
Full-text available
This paper presents a mathematical approach to the future dynamic spectrum market, where multiple secondary operators compete to gain radio resources. The secondary network operators (SNOs) face various concurrent auctions. We discuss techniques, which can be used to select auctions to optimize their objectives and increase the winning probability....
Article
Full-text available
Dynamic spectrum sharing aims to provide flexible spectrum usage and improve spectrum efficiency for cellular and non-cellular networks. We propose two optimization models using stochastic optimization algorithms in which the secondary operator (i) spends the minimal cost to achieve the target grade of service assuming unrestricted budget or (ii) g...
Conference Paper
Full-text available
Spectrum sharing between operators with exclusive licensing have become a major concern for mobile network operators and regulators to respond to the growing spectrum demand of the multimedia applications. One of the important issues in spectrum sharing is to determine the potential benefit when multi-operators share the resources under certain mut...
Article
Full-text available
Due to the exponentially growing wireless applications and services, traffic demand is increasing rapidly. To cope with such growth wireless network operators seek for radio resource cooperation strategies for their users with the highest possible grade of service (GoS). In this paper we propose a set of analytical models for dynamic spectrum acces...
Article
Full-text available
Pedestrian tracking is a key building block in many emerging technologies, and there are many applications that require a very accurate and reliable pedestrian tracking. Two problems, namely the abrupt changes in motion and the delay in the tracking process are addressed in the reported work. The approach seeks to simulate the uncertainty of the po...
Conference Paper
Full-text available
In this paper we consider a network of parallel queues for the largest government hospital in Bangladesh, the Dhaka Medical College Hospital (DMCH), to capture the patient flow through the emergency department (ED). To calculate the required number of beds at each major department of the hospital for a given level of performance the network has bee...
Article
Full-text available
In this paper, we consider a Markov renewal process (MRP) to model tropical cyclones occurred in Bangladesh during 1877–2009. The model takes into account both the occurrence history and some physical constraints to capture the main physical characteristics of the storm surge process. We assume that the sequence of cyclones constitutes a Markov cha...
Chapter
Full-text available
Bangladesh frequently suffers from tropical cyclones possibly due to its unique location. The funnel-shaped northern part of the Bay of Bengal causes tidal bores when cyclones make landfall. These tropical cyclones can be very devastating and can severely affect the coastline of Bangladesh. In this study we analyzed 135 tropical cyclones occurred i...
Article
Full-text available
We develop a generalized loss network framework for capacity planning of a perinatal network in the UK. Decomposing the network by hospitals, each unit is analyzed with a GI/G/c/0 overflow loss network model. A two-moment approximation is performed to obtain the steady state solution of the GI/G/c/0 loss systems, and expressions for rejection proba...
Article
A model framework is developed to solve capacity planning problems that are faced by many perinatal networks in the UK.We propose a loss network model with overflow based on a continuous time Markov chain for a perinatal network with specific application to a network in London. We derive the steady state expressions for overflow and rejection proba...
Article
A model framework is developed to solve capacity planning problems that are faced by many perinatal networks in the UK. We propose a loss network model with overflow based on a continuous time Markov chain for a perinatal network with specific application to a network in London. We derive the steady state expressions for overflow and rejection prob...
Article
Full-text available
The main aim of this paper is to derive a solution to the capacity problem faced by many perinatal networks in the United Kingdom. We propose a queueing model to determine the number of cots at all care units for any desired overflow and rejection probability in a neonatal unit. The model formulation is developed, being motivated by overflow models...
Article
Full-text available
To study the arrival pattern and length of stay (LoS) in a neonatal intensive care/high dependency unit (NICU/HDU) and special care baby unit (SCBU) and the impact of capacity shortage in a perinatal network centre, and to provide an analytical model for improving capacity planning. The data used in this study have been collected through the South...
Article
Full-text available
Patient flow modeling is a growing field of interest in health services research. Several techniques have been applied to model movement of patients within and between health-care facilities. However, individual patient experience during the delivery of care has always been overlooked. In this work, a random effects model is introduced to patient f...
Article
Full-text available
This paper aims to identify different potential factors associated with childbearing pattern among the ever-married women in Bangladesh. Childbearing pattern is directly related to fertility level and rapid population growth is the major consequence of more childbearing. Bearing more children affects adversely on social and economic opportunities a...
Conference Paper
Full-text available
The main aim of this paper is to model the neonatal unit of a perinatal network centre using the general framework of a loss network model and to estimate some performance measures. A special case of the class of model has been applied for capacity planning to the perinatal network centre of a neonatal network in the United Kingdom. Using the data...
Article
Full-text available
Social indicators have been used informally for a very long time, particularly in economics, to assess the state of the nation and progress towards national objectives. Measuring people’s quality of life emphasizes human well being and particularly issues of equity, poverty, and gender. In this context, this paper uses a latest indicator of social...
Article
Full-text available
The main aim of this thesis is to provide a precise method by which the growth of the yeast Saccharomyces cerevisiae can be standardized from a specified initial optical density (OD). To apply the proposed method of standardization and also to compare with the previous methods, we use two datasets: one consists of 99 wild-type yeast strains growth...

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Projects

Projects (2)
Project
To Investigate the economic impact of road traffic accidents in Oman
Project
The aim of this research is to discover the disadvantages of current object-relational database storage and retrieval models in terms of performance and efficiency, and to develop conceptual extensions to, or partial replacements of, these models using a data-first approach, delivering a cross-platform Dynamic Design Framework incorporating new automatic dynamically-responsive design techniques. As a secondary aim, to determine if the characteristics of data can be used to taxonomise data, and whether the outputs of this process can be used to refine or contribute to the structure of the Dynamic Design Framework. The purposes of pursuing these aims are to provide more efficient data storage and retrieval methodologies, in recognition that the key characteristics of data flows have rapidly mutated and grown in the last decade, which has challenged the suitability of the object-relational database as a viable system for future data management.