Dr Suparna De


Lecturer in Computer Science
Ph.D, MSc, B.Sc. (honours), FHEA
+44 (0)1483 682261
19 BB 02

Biography

Areas of specialism

Cyber-Physical-Social systems; Semantic search and modelling; Big Data analysis ; Machine learning applications

Affiliations and memberships

IEEE
Member
IEEE Standards Association: P3800 WG
Working Group member of the IEEE P3800 - Standard for a Data-Trading System

Academic networks

    Research

    Research interests

    Research projects

    Indicators of esteem

    • Scholarships:
      • Overseas Research Student Sponsorship for PhD research: University of Surrey and MobileVCE Core 4 programme
      • DFIDSSS Scholarship: jointly funded by the University of Surrey and the British Commonwealth Scholarship Commission for MSc programme.
    • Awards:
      • Cable and Wireless Award: University of Surrey, for the best overall performance from a student graduating with an MSc in Satellite Communication Engineering or Communications Networks and Software
      • IET Certificate in recognition of significant contribution to IET On Campus at the University of Surrey

      Research Themes

      Data analytics for Cyber-Physical and Social Streams

      This research theme focusses on deriving latent patterns in CPSS data streams by developing novel ML algorithms; as well as fusion of social network data with sensor data streams. Our work looks at analysing social network data to extract real-world event information and human movements, in conjunction with sensor data and open datasets, to achieve outcomes related to quantifying their influence on smart city dynamics, such as traffic flows, measured pollution levels, redefining inner-city boundaries etc.

      Related publications:

      • Exploring the Effectiveness of Service Decomposition in Fog Computing Architecture for the Internet of Things, IEEE Transactions on Sustainable Computing, March 2019
      • A Survey on an Emerging Area: Deep Learning for Smart City Data, IEEE Transactions on Emerging Topics in Computational Intelligence, May 2019
      • Data-driven Air Quality Characterisation for Urban Environments: a Case Study, IEEE Access, December 2018
      • Missing Data Estimation in Mobile Sensing Environments, IEEE Access 6(1), October 2018 
      • Cyber–Physical–Social Frameworks for Urban Big Data Systems: A Survey. MDPI Applied Sciences, 2017, 7 (10) (slideshare)
      • Real world city event extraction from Twitter data streams, Procedia Computer Science, 2016, 98, pp. 443-448 (dataset)

      Large scale sensor and data discovery and ranking

      This research theme focuses on scalable, distributed discovery mechanisms supporting the sensor-as-a-service paradigm. Based on the particular localization characteristics of IoT deployments, our work has developed novel methods using geospatial indexing techniques and semantic service technologies for both sensor and sensor data discovery.

      Related publications:

      • Designing the Sensing as a Service Ecosystem for the Internet of Things, IEEE Internet of Things Magazine,1(2), December 2018
      • Spatial Indexing for Data Searching in Mobile Sensing Environments. Sensors 201717(6), 1427
      • Search Techniques for the Web of Things: A Taxonomy and Survey, Sensors 2016, 16(5), 600
      • An Experimental Study on Geospatial Indexing for Sensor Service Discovery, Expert Systems with Applications, Elsevier, May 2015 (ontologydataset)
      • A Ranking Method for Sensor Services based on Estimation of Service Access Cost, Information Sciences, Elsevier, October 2015 (code and dataset)
      • Enabling Query of Frequently Updated Data from Mobile Sensing Sources, The 13th IEEE International Conferences on Ubiquitous Computing and Communications (IUCC2014), December 2014.

      Semantic Models for the Internet of Things

      This research theme focusses on semantic models for the main abstractions and concepts that underlie the IoT domain. The developed ontologies enable fine-grained semantic annotations, and to create Linked sensor data for service and data discovery.

      Related publications:

      • SmartTags: IoT Product Passport for Circular Economy Based on Printed Sensors and Unique Item-Level Identifiers, Sensors 2019, 19(3), 586.
      • Knowledge Representation in the Internet of Things: Semantic Modelling and its Applications. Automatika – Journal for Control, Measurement, Electronics, Computing and Communications, December 2013. 
      • An Internet of Things Platform for Real-World and Digital Objects'. Scalable Computing: Practice and Experience, May 2012. (platform demo)
      • Service modelling for the Internet of Things, IEEE Federated Conference on Computer Science and Information Systems (FEDCSIS), September 2011 (ontology)

      Supervision

      Completed postgraduate research projects I have supervised

      Postgraduate research supervision

      My publications

      Publications

      S. De, U. Jassat, W. Wang, C. Perera, and K. Moessner (2021). Inferring Latent Patterns in Air Quality from Urban Big Data
      Q. Chen, W. Wang, K. Huang, S. De, and F. Coenen (2021). Multi-modal generative adversarial networks for traffic event detection in smart cities
      S. De, W. Wang, Y. Zhou, C. Perera, K. Moessner, and M. N. Alraja (2021). Analysing environmental impact of large-scale events in public spaces with cross-domain multimodal data fusion
      Q. Chen, W. Wang, K. Huang, S. De, and F. Coenen (2020). Adversarial Domain Adaptation for Crisis Data Classification on Social Media
      Q. Chen, W. Wang, K. Huang, S. De, and F. Coenen (2020). Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media
      Qi Chen; Wei Wang; Fangyu Wu; Suparna De; Ruili Wang; Bailing Zhang; Xin Huang (2019). A Survey on an Emerging Area: Deep Learning for Smart City Data
      B. Alturki; S. Reiff-Marganiec; C. Perera; S. De (2019). Exploring the Effectiveness of Service Decomposition in Fog Computing Architecture for the Internet of Things
      Nenad Gligoric, Srdjan Krco, Liisa Hakola, Kaisa Vehmas, Suparna De, Klaus Moessner, Kristoffer Jansson, Ingmar Polenz and Rob van Kranenburg (2019). SmartTags: IoT Product Passport for Circular Economy Based on Printed Sensors and Unique Item-Level Identifiers
      Yuchao Zhou; Suparna De; Gideon Ewa; Charith Perera; Klaus Moessner (2018). Data-Driven Air Quality Characterization for Urban Environments: A Case Study
      Yuchao Zhou; Suparna De; Wei Wang; Ruili Wang; Klaus Moessner (2018). Missing Data Estimation in Mobile Sensing Environments