Dr. Dhaval Thakker,Director of PGR (DPGR)
Information about Dr. Dhaval Thakker at the University of Bradford.
- Computer Science
(Faculty of Engineering & Informatics) - Email:
- d.thakker@bradford.ac.uk
- Telephone:
- +44 1274 234578
Biography
Dr. Dhaval Thakker joined the Faculty of Engineering and Informatics at the University of Bradford in May 2015 and is an Associate Professor. He is currently the Director of Postgraduate Research (DPGR) in the faculty and leads the Internet of Things (IoT) Innovation Lab. Dhaval has over fifteen years of working experience in the European Union(EU) and industrial projects researching and delivering innovative solutions. He is also part of the University’s Research Practice Innovation Group led by the Pro-Vice-Chancellor (Research and Knowledge Transfer) to help shape the university’s research and innovation (R&I) strategy.
His broad area of research interest and expertise is interdisciplinary focusing on the use of Artificial Intelligence (AI), and the Internet of Things(IoT) technologies for the betterment of society. His current and evolving research interests include exploring the role of AI and IoT technologies in the context of Smart Cities, Digital Health, and the Circular Economy. He actively publishes in leading high impact factor journals such as the Semantic Web Journal, Elsevier Journal of Engineering Applications of Artificial Intelligence and Transactions on Emerging Telecommunications Technologies. He regularly reviews for the Engineering and Physical Sciences Research Council (EPSRC), and the Natural Environment Research Council (NERC).
To date, he has been successful as Principal and Co-investigator in over £1 million worth of R&I projects (UoB share) funded by national, international funding bodies and commercial organisations. Some of the notable funders have been the European Commission, Innovate UK, HFCE, and GCRF focusing on projects addressing societal challenges surrounding themes such as Smart Cities, Air Quality Monitoring, Flood Monitoring, Children's Health, Industry 4.0(Smart Factories), and Archeological & Drone-based surveys in Worn-torn areas.
He was awarded Ph.D. in computer science by the Nottingham Trent University in 2008 for his work on 'An intelligent framework for dynamic web services composition in the semantic web'. He has completed his MSc in Data Communication Systems from Brunel University, London. Prior to joining Bradford, he worked as a Senior Research Fellow at the University of Leeds from 2011 to 2015 and was leading semantic web/AI related research in several EU projects. Before Leeds, he worked in the industry with UK's national news agency (Press Association, now PA media group) as a Research & Development Consultant to provide strategic and technical leadership in implementing Semantic Web/AI and Linked data related projects to improve access to their media repositories.Details of the group Dhaval leads at Bradford, it's research staff, and Ph.D. students are available here. Google Scholar profile provides an extensive publication track record. His research has been rewarded with multiple best paper awards (2019 at the 10th IEEE conference on IoT, Big Data and AI for a Smart and Safe Future; 2015 at 12th the European Semantic Web Conference).
He is the Programme Leader(Director) for two of the Computer Science MSc courses, MSc course on the Internet of Things(IoT), MSc Big Data Science and Technology.
Below are details on some of his research and academic responsibilities. A more up to date, biography, and details are maintained on personal website here.
Research
Internet of Things(IoT)Smart Cities
(Explainable) Artificial Intelligence/Semantic Web
Natural Language Processing (NLP)
Circular Economy
Digital Health
Research projects
| Role | Date | Title/description | Funder | Award |
|---|---|---|---|---|
| Principal Investigator | 2020-03-02T00:00:00 | |||
| Principle Investigator | Cities across NSR are working to improve public service delivery (PSD) based on smart, data-driven solutions. Eg optimising the routing of garbage trucks based on waste location data, or guiding vehicles to available parking spots using sensor data and GPS. SCORE aims to increase the efficiency and quality of PSD in cities to reduce costs by 10%, ie €50M savings for partner cities by 2020. In SCORE’s demand-driven approach, Transnational Teams of 9 Smart Cities in 7 NSR countries co-define shared challenges for improved municipal services. Cities pool resources and expertise to co-develop 12 innovative solutions (on eg environment, water, parking, sustainable mobility) to be tested and replicated 3x transnationally in existing urban living labs. Urban data is unlocked and made inter-operable between departments and organisations. SCORE uses an agile software development approach for open source solutions that re(uses) data to improve PSD. These innovations can then be re-used for free by other NSR cities and regions. Together, the cities have the combined resources, IT competences, and policy expertise to achieve solutions for shared challenges that they could not achieve individually. They will engage existing Smart City and Data Initiatives, SME networks, and open source communities. University of Bradford and Amsterdam Data Science assess feasibility and facilitate transnational development. University of Aarhus mobilises state of the art and dissemination opportunities. | Principle Investigator | ||
| Co-Investigator | 2020-05-01T00:00:00 |
Contract researchers
| Name | Role | Project | Duration | Funding body |
|---|---|---|---|---|
| Research Assistant | UrbaN Indoor Air Quality Monitoring Observatory (UNIAQ) | |||
| Research Assistant | UrbaN Indoor Air Quality Monitoring Observatory (UNIAQ) | |||
| Research Assistant | SCORE | |||
| Postdoctoral Researcher | SCORE | 3 years |
Teaching
Details on teaching interests, highlights and modules are available for Dr. Dhaval Thakker as follows:
Teaching interests
Internet of ThingsKnowledge Representation/AI
Professional activities
Information about education, employment and areas of particular interest for Dr. Dhaval Thakker is as follows:
Education
- Nottingham Trent University - PhD
- Brunel University - MSc
- Gujarat University, India - BEng
Publications
There are 23 publications involving or that are attributed to Dr. Dhaval Thakker.
Peer Reviewed Journal
| Title | Year | Publication name | Journal | Volume | Pages | Authors | Editors | ISSN | Publisher | DOI | Location |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Analytics-as-a-Service in a Multi-Cloud Environment through Semantically-enabled Hierarchical Data Processing | 2017 | Jayaraman, P.P.; Perera, C.; Georgakopoulos, D.; Dustdar, S.; Thakker, Dhaval; Ranjan, R. | |||||||||
| Ontology for cultural variations in interpersonal communication: building on theoretical models and crowdsourced knowledge | 2016 | Thakker, Dhaval; Karanasios, S; Blanchard, E.; Lau, L.; Dimitrova, V. | |||||||||
| User Interaction with Linked Data: An Exploratory Search Approach | 2016 | Thakker, Dhaval; Yang-Turner, F.; Despotakis, D. | |||||||||
| Utilising semantic technologies for intelligent indexing and retrieval of digital images | 2014 | Osman, T.; Thakker, Dhaval; Schaefer, G. | |||||||||
| A note on exploration of IoT generated big data using semantics | 2017 | Ranjan, R.; Thakker, Dhaval; Haller, A.; Buyya, R. | |||||||||
| Ontology for cultural variations in interpersonal communication: Building on theoretical models and crowdsourced knowledge | 2017 | Journal of the Association for Information Science and Technology | 68 | 1411 - 1428 | Thakker D.;Karanasios S.;Blanchard E.;Lau L.;Dimitrova V. | 2330-1635 | 10.1002/asi.23824 | ||||
| Examining citizens’ perceived value of internet of things technologies in facilitating public sector services engagement | 2018 | Government Information Quarterly | 32 | 310 - 320 | El-Haddadeh R.;Osmani M.;Thakker D.;Weerakkody V.;Kapoor K. | 0740-624X | 10.1016/j.giq.2018.09.009 | ||||
| Examining citizens' perceived value of internet of things technologies in facilitating public sector services engagement | 2019 | El-Haddadeh, R.; Weerakkody, Vishanth J.P.; Osmani, M.; Thakker, Dhaval; Kapoor, K.K. | |||||||||
| Using Knowledge Anchors to Facilitate User Exploration of Data Graphs | 2019 | Semantic Web | 10 | Marwan Al-Tawil, Vanid Dimitrova, Dhavalkumar Thakker | |||||||
| Using Knowledge Anchors to Facilitate User Exploration of Data Graphs | 2019 | Al-Tawil, M.; Dimitrova, V.; Thakker, Dhaval | |||||||||
| Ontology-based Discovery of Time-Series Data Sources for Landslide Early Warning System | 2019 | ACM Computing Review | 0 | Jedsada Phengsuwan, Tejal Shah, Philip James, Dhavalkumar Thakker, Stuart Barr, Rajiv Ranjan | |||||||
| Ontology-based Discovery of Time-Series Data Sources for Landslide Early Warning System | 2019 | 15th International Conference on Microwaves, Radar and Wireless Communications, MIKON - 2004 | 0 | Jedsada Phengsuwan, Tejal Shah, Philip James, Dhavalkumar Thakker, Stuart Barr, Rajiv Ranjan | |||||||
| Ontology-based Discovery of Time-Series Data Sources for Landslide Early Warning System | 2019 | Springer Monographs in Mathematics | 1 | Jedsada Phengsuwan, Tejal Shah, Philip James, Dhavalkumar Thakker, Stuart Barr, Rajiv Ranjan | |||||||
| Ontology-based Discovery of Time-Series Data Sources for Landslide Early Warning System | 2019 | ACM COMPUTING REVIEWS | 0 | J Phengsuwan, T Shah, P James, D Thakker, S Barr, R Ranjan | |||||||
| Ontology-based discovery of time-series data sources for landslide early warning system | 2019 | Computing (Vienna/New York) | Phengsuwan J.;Shah T.;James P.;Thakker D.;Barr S.;Ranjan R. | 0010-485X | 10.1007/s00607-019-00730-7 | ||||||
| A note on intelligent exploration of semantic data | 2019 | Thakker, Dhaval; Schwabe, D.; Garcia, D.; Kozaki, K.; Brambilla, M.; Dimitrova, V. | |||||||||
| An ontological approach for pathology assessment and diagnosis of tunnels | 2020 | Engineering Applications of Artificial Intelligence | 90 | Dimitrova V.;Mehmood M.;Thakker D.;Sage-Vallier B.;Valdes J.;Cohn A. | 0952-1976 | 10.1016/j.engappai.2019.103450 | |||||
| A Novel Application of Deep Learning with Image Cropping: A Smart Cities Use Case for Flood Monitoring | 2020 | 0 | Mishra, Bhupesh; Thakker, Dhavalkumar;Mazumdar, Suvodeep; Neagu, Daniel; Gheorghe, Marian; Simpson, Sydney | ||||||||
| An Ontological Approach for Pathology Assessment and Diagnosis of Tunnels | 2020 | Engineering Applications of Artificial Intelligence | 0 | Vania Dimitrova, Muhammad Owais Mehmood, Dhavalkumar Thakker, Bastien Sage-Vallier, Joaquin Valdes, Anthony G. Cohn | ELSEVIER | ||||||
| An ontology-based system for discovering landslide-induced emergencies in electrical grid | 2020 | Transactions on Emerging Telecommunications Technologies | Phengsuwan J.;Shah T.;Sun R.;James P.;Thakker D.;Ranjan R. | 2161-5748 | 10.1002/ett.3899 | ||||||
| An IoT-enabled Decision Support System for Circular Economy Business Model | 2020 | Software Process Improvement and Practice | 0 | J Mboli, D Thakker, J Mishra | Wiley | ||||||
| A Novel Application of Deep Learning with Image Cropping: A Smart Cities Use Case for Flood Monitoring | 2020 | Journal Of Reliable Intelligent Environments | 6 | Bhupesh Kumar Mishra, Dhavalkumar Thakker, Suvodeep Mazumdar, Daniel Neagu, Marian Gheorghe & Sydney Simpson | Springer | ||||||
| A novel application of deep learning with image cropping: a smart city use case for flood monitoring | 2020 | Journal Of Reliable Intelligent Environments | 6 | Mishra B.K.;Thakker D.;Mazumdar S.;Neagu D.;Gheorghe M.;Simpson S. | 2199-4668 | 10.1007/s40860-020-00099-x |