A5085879579- Smart Cities and Technologies
- Business Process Modeling and Analysis
- Human Mobility and Location-Based Analysis
- Service-Oriented Architecture and Web Services
- IoT and Edge/Fog Computing
- Geographic Information Systems Studies
- Distributed and Parallel Computing Systems
- Innovative Approaches in Technology and Social Development
- Scientific Computing and Data Management
- Forensic Fingerprint Detection Methods
- Big Data Technologies and Applications
- Context-Aware Activity Recognition Systems
- Online and Blended Learning
- Privacy-Preserving Technologies in Data
- Online Learning and Analytics
- Cloud Computing and Resource Management
- E-Learning and Knowledge Management
- 3D Modeling in Geospatial Applications
- Blockchain Technology Applications and Security
- Big Data and Business Intelligence
- Systems Engineering Methodologies and Applications
- Multi-Agent Systems and Negotiation
- Data Quality and Management
- Mobile Crowdsensing and Crowdsourcing
- Digital Transformation in Industry
University of the West of England
2016-2025
National University of Sciences and Technology
2005-2017
Fraunhofer Institute for Computer Graphics Research
2012
Aligarh Muslim University
1993-2005
A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective managing analysing such big can answer a number science, policy, planning, governance business questions support decision making enabling smarter environment. This paper presents theoretical experimental on the smart cities focused management analysis by proposing cloud-based analytics service. prototype has been designed developed to demonstrate effectiveness...
ICT is becoming increasingly pervasive to urban environments and providing the necessary basis for sustainability resilience of smart future cities. Often tools a city deal with different application domains e.g. land use, transport, energy, rarely provide an integrated information perspective socioeconomic growth city. Smart cities can benefit from such using Big, often real-time cross-thematic, data collection, processing, integration sharing through inter-operable services deployed in...
Abstract With the increasing role of ICT in enabling and supporting smart cities, demand for big data analytics solutions is increasing. Various artificial intelligence, mining, machine learning statistical analysis‐based have been successfully applied thematic domains like climate science, energy management, transport, air quality management weather pattern analysis. In this paper, we present a systematic review literature on city analytics. We searched number different repositories using...
With continuous increase in urban population, the need to plan and implement smart cities based solutions for better governance is becoming more evident. These are driven, on one hand, by innovations ICT and, other capability capacity of mitigate environmental, social inclusion, economic growth sustainable development challenges. In this respect, citizens' science or public participation provides a key input informed intelligent planning decision policy making. However, challenge here...
Smart cities accumulate and process large amount of data streams which raise security privacy concerns at individual community levels. Sizeable attempts have made to ensure inhabitants' data. However, issues smart are not confined inhabitants only, service provider local government their own reservations -- trust, reliability the sensed data, ownership, name a few. In this research work we identified comprehensive list stakeholders model involvement in by using Onion Model approach. Based on...
With the emergence of new methodologies and technologies it has now become possible to manage large amounts environmental sensing data apply integrated computing models acquire information intelligence. This paper advocates application cloud support information, communication decision making needs a wide variety stakeholders in complex business management urban regional development. The complexity is evident socio-economic interactions impacts embodied concept urban-ecosystem. highlights...
Purpose – The aim of this paper is to present the effectiveness participatory information and communication technology (ICT) tools for urban planning, in particular, supporting bottom-up decision-making management governance. Design/methodology/approach This work begins with a presentation on state art literature existing approaches their contribution planning policymaking process. Furthermore, case study, namely, UrbanAPI project, selected identify new visualisation simulation applied at...
Citizen participation for social innovation and co-creating urban regeneration proposals can be greatly facilitated by innovative IT systems. Such systems use Open Government Data, visualise in 3D models provide automated feedback on the feasibility of proposals. Using such a system as communication platform between citizens city administrations provides an integrated top-down bottom-up planning decision-making approach to smart cities. However, generating citizens’ requires modelling...
Smart city digital twins can provide useful insights by making effective use of multi disciplinary urban data from diverse sources. Whilst these new information that helps cities in decision making, verifying the authenticity, integrity, traceability and ownership across various functional units have become critical characteristics to ensure is an authentic trustworthy source. However, are rarely considered a twin ecosystem. In this research we introduce novel framework, namely, 'SIGNED:...
In the context of smart cities, public participation and citizen science are key ingredients for informed intelligent planning decisions policy-making. However, citizens face a practical challenge in formulating coherent information sets from large volumes data available to them. These materialise due increased utilisation communication technologies urban settings local authorities’ reliance on such govern settlements efficiently. To encourage effective governance needs be facilitated with...
Summary Smart cities aim to provide smart governance with the emphasis on gaining high transparency and trust in public services enabling citizen participation decision making processes. This means one hand data generated from urban transactions need be open trustworthy. On other hand, security privacy of needs handled at different administrative geographical levels. In this paper, we investigate pivotal role blockchain providing privacy, self‐verification, authentication, authorization...
Blockchain and verifiable identities have a lot of potential in future distributed software applications e.g. smart cities, eHealth, autonomous vehicles, networks, etc. In this paper, we proposed novel technique, namely VeidBlock, to generate by following reliable authentication process. These entities are managed using the concepts blockchain ledger through an advance mechanism protect them against tampering. All created VeidBlock approach anonymous therefore it preserves user's privacy...
Indexing endoscopic surgical videos is vital in data science, forming the basis for systematic retrospective analysis and clinical performance evaluation. Despite its significance, current video analytics rely on manual indexing, a time-consuming process. Advances computer vision, particularly deep learning, offer automation potential, yet progress limited by lack of publicly available, densely annotated datasets. To address this, we present TEMSET-24K, an open-source dataset comprising...
Citizen Science increasingly leverages digital platforms to mobilize broad public participation in environmental data collection. However, most initiatives struggle with declining engagement and sustained motivation. This study investigates the effects of gamification—specifically, points, daily-streak bonuses, real-time leaderboards—on university students’ engagement, accomplishment, immersion during a five-day, campus-wide intervention using GREENCROWD platform. Employing convergent...
The deployment of virtual machines (VMs) within the Infrastructure as a Service (IaaS) layer across public, private, or hybrid cloud infrastructures is prevalent in various organisational settings for hosting essential business services. However, achieving rapid elasticity, autoscaling, and ensuring quality service amidst fluctuating demands available computing resources present significant challenges. Unlike Platform (PaaS) Software (SaaS) layers, where providers offer managed elasticity...
Multi agent systems (MAS) are expected to be involved in futuristic technologies. Agents require some execution environment which they can publish their service interfaces and provide services other agent. Such is called platform (AP). From a technical point of view any abnormal behavior distress agents residing on that platform. That's why it necessary suitable architecture for the AP should not only fault tolerance but also scalability features. There exist management components within...
Traffic-related air pollution (TRAP) remains one of the main contributors to urban and its impact on climate change cannot be overemphasised. Experts in developed countries strive make optimal use traffic quality data gain valuable insights into effect public health. Over years, research community has advanced methods forecasting traffic-related using several machine learning albeit with persistent accuracy insufficient challenges. Despite potentials emerging techniques such as multi-target...
The e-Learning domain is evolving rapidly due to a number of factors and amongst these are the two key factors: i) availability new ICT tools technologies such as cloud computing, ontologies smart phones, ii) application various learning theories development models. latter anticipated generate sets requirements for environment. This paper an attempt towards developing generic model hybrid cloud-based systems with particular reference e-learning systems' in general, pedagogical requirements,...
This paper presents some results from an EU FP7 RTD project urbanAPI, in which three ICT applications target different aspects of participatory urban governance. The 3D Scenario Creator allows planners to visualise development proposals dimensions, share them with stakeholders and obtain their feedback. Mobility Explorer land use transport analyse population distribution mobility patterns the city. Finally, Urban Development Simulator simulates socio-economic activity response alternative...
In the context of smart cities, public participation and citizen science are key ingredients for informed intelligent planning decisions policy-making. However, citizens face a practical challenge in formulating coherent information sets from large volumes data available to them. These materialise due increased utilisation communication technologies urban settings local authorities' reliance on such govern settlements efficiently. To encourage effective governance needs be facilitated with...