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  4. Dr Suvodeep Mazumdar

Dr Suvodeep Mazumdar BTech, MSc, PhD

Lecturer in Computing


Summary

I am a Lecturer in the Department of Computing. My primary research interest is Big Data Analytics and Crowdsourcing. I conduct inter-disciplinary research on highly engaging, interactive and visual mechanisms in conjunction with complex querying techniques for seamless navigation, exploration and understanding of complex datasets.

About

My research involves studying and developing data and visual analytic techniques to analyse massive volumes of dynamic data in near real time. I have applied my research in a wide range of application domains such as Aerospace Engineering, Sports Informatics, Crisis/Emergency Management, Smart Cities and Mobility Planning. 

Following completion of my Masters in Advanced Computer Science at the University of Sheffield, I pursued my PhD, titled ‘Visualising Large Semantic Datasets: A generic, scalable and aesthetic approach’, under the supervision of Professor Fabio Ciravegna and Professor Daniela Petrelli. My PhD thesis focused on applying interactive visualisations and User-Centered Design techniques to support exploration of large datasets using Semantic Web technologies within an Organisational Knowledge Management context. 

As a part of my research, I collaborate with large multi-disciplinary teams of academics, industry partners, city councils and planners. I was also a core member of the research and development team behind the world’s first football transfer news prediction system, FootballWhispers. I have worked in several large research and industrial projects funded by the European Union, Innovate UK and European Space Agency.

Specialist areas of interest

Visual Analytics
Big Data Analytics
Social Media Analytics
Visualisation
Human-Computer Interaction

Teaching

Subject area

Business Intelligence

Research

EU Seta (Ubiquitous data and service ecosystem for better metropolitan mobility) - The objective of the SETA project is to provide effective solutions for intelligent and sustainable mobility ie the smarter, greener and more efficient movement of people and goods. SETA will provide a radical change from transport as a series of separate modal journeys to an integrated, reactive, intelligent, mobility system. It will provide always-on, pervasive services to citizens and business, as well as decision makers to support safe, sustainable, effective, efficient and resilient mobility. The project lasts 3 years, with €5.5M of funding from EU Horizon 2020 of which €1.2M is for Sheffield. Professor Ciravegna is the project director (2016-2019) 

ESA BDM - This is a €150,000 feasibility study funded by European Space Agency, focusing on how Big Data can provide support for understanding large scale human migration events. The project will investigate the different Big Data technologies to understand different facets of migration – mitigation, preparedness, response and recovery. I am the Sheffield PI and I also coordinate a task in the project 

ESA Crowd4Sat - I was the Project Coordinator of the €170,000 Crowd4Sat – Crowdsourcing for Observations from Satellites project which was funded by the European Space Agency (ESA). Crowd4Sat consisted of 3 official partners (University of Sheffield, Starlab Limited and e-GEOS SpA) along with 2 demonstration project owners (Alto Adriatico Water Authority and The Floow) and 1 technology provider (AizoOn). The objective of Crowd4Sat was to investigate the different facets of how crowdsourcing and citizen science impacts upon the validation, use and enhancement of ESA Observations from Satellites (OS) products and services, as well as how the ESA products can be used in crowdsourcing. It ran from 1 Feb 2015 until 31 March 2016. 

EU WeSenseIt - I also work in the WeSenseIt project, a €6.2 million four year European Framework 7 funded project which develops citizen observatories of water to harness environmental data and knowledge to effectively and efficiently manage water resources. Observatories allow citizens and communities to take on a new role in the information chain: a shift from the traditional one-way communication paradigm towards a two-way communication model in which citizens become active stakeholders in information capturing, evaluation and communication. Areas of research concern physical and social sensors, heterogeneous sensor networks and water models, and methods for participatory decision support in water management. Citizen and stakeholder groups are involved throughout the project; theoretical and conceptual social models are developed to better understand citizen motivation and engagement, their needs, abilities, preferences and potential for input into decision-making processes.

Publications

Journal articles

Mazumdar, S., & Thakker, D. (2020). Citizen science on twitter: Using data analytics to understand conversations and networks. Future Internet, 12 (12), 1-22. http://doi.org/10.3390/fi12120210

Read, J., Jones, N., Fegan, C., Cudd, P., Simpson, E., Mazumdar, S., & Ciravegna, F. (2020). Remote Home Visit: Exploring the feasibility, acceptability and potential benefits of using digital technology to undertake occupational therapy home assessments. British Journal of Occupational Therapy, 030802262092111. http://doi.org/10.1177/0308022620921111

Mishra, B.K., Thakker, D., Mazumdar, S., Neagu, D., Gheorghe, M., & Simpson, S. (2020). A novel application of deep learning with image cropping: a smart city use case for flood monitoring. Journal of Reliable Intelligent Environments, 6 (1), 51-61. http://doi.org/10.1007/s40860-020-00099-x

Mazumdar, S., Wrigley, S., Ireson, N., & Ciravegna, F. (2018). Harnessing location-based services for effective citizen observatories. International Journal of Spatial Data Infrastructures Research, 13, 101-108. http://doi.org/10.2902/1725-0463.2018.13.art10

Mazumdar, S., Wrigley, S., & Ciravegna, F. (2017). Citizen science and crowdsourcing for Earth observations: An analysis of stakeholder opinions on the present and future. Remote Sensing, 9 (1), 87. http://doi.org/10.3390/rs9010087

Mazumdar, S., Lanfranchi, V., Ireson, N., Wrigley, S., Bagnasco, C., Wehn, U., ... Huwald, H. (2016). Citizens observatories for effective Earth observations: the WeSenseIt approach. Environmental Scientist, 25 (2), 56-61. https://www.the-ies.org/sites/default/files/journals/es_citizen_science_aug_16.pdf

Mazumdar, S., Ciravegna, F., Ireson, N., Read, J., Simpson, E., & Cudd, P. (2016). Communicating with citizens on the ground: A practical study. International Journal of Information Systems for Crisis Response and Management (IJISCRAM), 8 (2), 50-69. https://www.igi-global.com/article/communicating-citizens-ground/178584

Mazumdar, S., Petrelli, D., Elbedweihy, K., Lanfranchi, V., & Ciravegna, F. (2015). Affective graphs: the visual appeal of linked data. Semantic web : interoperability, usability, applicability, 6 (3), 277-312. http://doi.org/10.3233/SW-140162

Cano, A.E., Mazumdar, S., & Ciravegna, F. (2014). Social influence analysis in microblogging platforms - A topic-sensitive based approach. Semantic Web, 5 (5), 357-372. http://doi.org/10.3233/SW-130108

Mazumdar, S., Petrelli, D., & Ciravegna, F. (2014). Exploring user and system requirements of linked data visualization through a visual dashboard approach. Semantic Web, 5 (3), 203-220. http://doi.org/10.3233/SW-2012-0072

Ivanova, V., Kauppinen, T., Lohmann, S., Mazumdar, S., Pesquita, C., & Xu, K. (2014). Preface. CEUR Workshop Proceedings, 1299.

Conference papers

Bates, J., Cameron, D., Checco, A., Clough, P., Hopfgartner, F., Mazumdar, S., ... de la Vega de León, A. (2020). Integrating fate/critical data studies into data science curricula: Where are we going and how do we get there? FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 425-435. http://doi.org/10.1145/3351095.3372832

Mishra, B.K., Thakker, D., Mazumdar, S., Simpson, S., & Neagu, D. (2019). Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring. Conference Proceedings of 2019 10th International Conference on Dependable Systems, Services and Technologies, DESSERT 2019, 235-240. http://doi.org/10.1109/DESSERT.2019.8770019

Heller, B., Mazumdar, S., & Ciravegna, F. (2018). Large scale, long-term, high granularity measurement of active travel using smartphones apps. Proceedings, 2 (6), 293. http://doi.org/10.3390/proceedings2060293

Mazumdar, S., Ciravegna, F., Ireson, N., Read, J., Simpson, E., & Cudd, P. (2017). Access visits using video communication. In Cudd, P., de Witte, L., & Hoogerwerf, E.-.J. (Eds.) Harnessing the power of technology to improve lives, (pp. 102-110). IOS Press: http://doi.org/10.3233/978-1-61499-798-6-102

Bai, L., Ireson, N., Mazumdar, S., & Ciravegna, F. (2017). Lessons learned using wi-fi and Bluetooth as means to monitor public service usage. In Lee, S., Takayama, L., & Truong, K. (Eds.) Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, (pp. 432-440). New York: ACM: http://doi.org/10.1145/3123024.3124417

Mazumdar, S., & Zhang, Z. (2016). A tool for creating and visualizing semantic annotations on relational tables. In Gentile, A.L., d'Amato, C., Zhang, Z., & Paulheim, H. (Eds.) LD4IE 2016 : Linked data for information extraction : Proceedings of the Fourth International Workshop on Linked Data for Information Extraction co-located with 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 18, 2016, (pp. 2-10). CEUR Workshop Proceedings: http://ceur-ws.org/Vol-1699/paper-02.pdf

Mazumdar, S., & Zhang, Z. (2016). Visualizing semantic table annotations with TableMiner+. In Kawamura, T., & Paulheim, H. (Eds.) ISWC-P&D 2016 : ISWC 2016 Posters & Demonstrations Track : Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016). Kobe, Japan, October 19, 2016. CEUR Workshop Proceedings: http://ceur-ws.org/Vol-1690/paper88.pdf

Mazumdar, S., Ireson, N., & Ciravegna, F. (2016). Decision graphs: Managing decisions for emergencies. In ISCRAM2016 : The 13th International Conference on Information Systems for Crisis Response and Management, Rio de Janeiro, Brazil, 22 May 2016 - 25 May 2016.

Ciravegna, F., Mazumdar, S., Ireson, N., & Cudd, P. (2016). Seeing through the eyes of the citizens during emergencies. In Tapia, A.H., Antunes, P., Bañuls, V.A., Moore, K., & Porto de Albuquerque, J. (Eds.) ISCRAM2016 Conference Proceedings : 13th International Conference on Information Systems for Crisis Response and Management. ISCRAM: http://idl.iscram.org/files/fabiociravegna/2016/1387_FabioCiravegna_etal2016.pdf

Mazumdar, S., Wrigley, S.N., Ireson, N., & Ciravegna, F. (2015). Geo-fence driven crowd-sourcing for emergencies. In Palen, L., Buscher, M., Comes, T., & Hughes, A. (Eds.) ISCRAM 2015 Conference Proceedings – 12th International Conference on Information Systems for Crisis Response and Management. Centre for Integrated Emergency Management: https://iscram2015.uia.no/?p=2069

Ireson, N., Ciravegna, F., Mazumdar, S., & Lanfranchi, V. (2015). TRIDS: Real-time incident monitoring with social media. In Workshop on Semantics and Analytics for Emergency Response (SAFE2015) at The 12th International Conference on Information Systems for Crisis Response and Management (ISCRAM2015), Kristiansand, Norway, 24 May 2018.

Gao, J., & Mazumdar, S. (2015). Exploiting linked open data to uncover entity types. In Gandon, F., Cabrio, E., Stankovic, M., & Zimmerman, A. (Eds.) Semantic web evaluation challenges : Second SemWebEval Challenge at ESWC 2015, Portorož, Slovenia, May 31 - June 4, 2015, revised selected papers, (pp. 51-62). Cham: Springer: http://doi.org/10.1007/978-3-319-25518-7_5

Blomqvist, E., Lanfranchi, V., Mazumdar, S., Kauppinen, T., & Kessler, C. (2015). Workshop summary: Workshop on semantics and analytics for emergency response (SAFE2015). In Palen, L., Buscher, M., Comes, T., & Hughes, A. (Eds.) ISCRAM 2015 Conference Proceedings – 12th International Conference on Information Systems for Crisis Response and Management. Centre for Integrated Emergency Management: https://iscram2015.uia.no/?p=2417

Lanfranchi, V., Mazumdar, S., & Ciravegna, F. (2014). Visual design recommendations for situation awareness in social media. In Hiltz, S.R., Pfaff, M.S., Plotnik, L., & Shih, P.C. (Eds.) ISCRAM 2014 Conference Proceedings. Book of papers. 11th International Conference on Information Systems for Crisis Response and Management, (pp. 792-801). USA: The Pennsylvania State University: http://www.iscram.org/legacy/ISCRAM2014/papers/p32.pdf

Elbedweihy, K., Mazumdar, S., Wrigley, S.N., & Ciravegna, F. (2014). NL-Graphs: A hybrid approach toward interactively querying semantic data. In Presutti, V., d'Amato, C., Gandon, F., d'Aquin, M., Staab, S., & Tordai, A. (Eds.) The semantic web : Trends and challenges : 11th International Conference, ESWC 2014 Anissaras, Crete, Greece, May 25-29, 2014 Proceedings, (pp. 565-579). Cham: Springer: http://doi.org/10.1007/978-3-319-07443-6_38

Ivanova, V., Kauppinen, T., Lohmann, S., Mazumdar, S., Pesquita, C., & Xu, K. (2014). Introduction to VISUAL 2014-Workshop on visualizations and user interfaces for knowledge engineering and linked data analytics. In Lambrix, P., Hyvönen, E., Blomqvist, E., Presutti, V., Qi, G., Sattler, U., ... Ghidini, C. (Eds.) Knowledge Engineering and Knowledge Management. EKAW 2014, , VISUAL, EKM1, and ARCOE-Logic, Linköping, Sweden, November 24-28, 2014. Revised Selected Papers, (pp. 80-82). Cham: Springer: http://doi.org/10.1007/978-3-319-17966-7_8

Mazumdar, S., & Kauppinen, T. (2014). Visualizing and animating large-scale spatiotemporal data with ELBAR explorer. In Horridge, M., Rospocher, M., & van Ossenbrugger, J. (Eds.) Proceedings of the ISWC 2014 Posters & Demonstrations Track, (pp. 161-164). CEUR Workshop Proceedings: http://ceur-ws.org/Vol-1272/paper_126.pdf

Gentile, A.L., & Mazumdar, S. (2014). User driven information extraction with LODIE. In Horridge, M., Rospocher, M., & van Ossenbrugen, J. (Eds.) Proceedings of the ISWC 2014 Posters & Demonstrations Track, (pp. 385-388). CEUR Workshop Proceedings: http://ceur-ws.org/Vol-1272/paper_112.pdf

Mazumdar, S., Lanfranchi, V., Ireson, N., & Ciravegna, F. (2014). Visual analysis of real-time social media for emergency response. In 2nd Workshop on Social Media and Linked Data for Emergency Response (SMILE 2014), Extended Semantic Web Conference 2014. (ESWC 2014), Anissaras, Crete, Greece, 25 May 2014. http://linkedscience.org/events/smile2014/

Lanfranchi, V., & Mazumdar, S. (2013). Evaluating the real usability of a C2 system-Short and controlled vs long and real. In Comes, T., Fiedrich, F., Fortier, S., Geldermann, J., & Muller, T. (Eds.) ISCRAM. KIT: http://idl.iscram.org/files/lanfranchi/2013/679_Lanfranchi_etal2013.pdf

Mazumdar, S., Lanfranchi, V., Cano, A.E., & Ciravegna, F. (2013). Visualising Topical Sentiment in Twitter Streams. Social Media and Linked Data for Emergency Response (SMILE). http://doi.org/10.4304/jsw.9.9.2348-2352

Lanfranchi, V., Mazumdar, S., Blomqvist, E., & Brewster, C. (2013). Roadmapping discussion summary - Social media and linked data for emergency response. CEUR Workshop Proceedings, 1191.

Lanfranchi, V., Mazumdar, S., Blomqvist, E., & Brewster, C. (2013). Preface - Editors' note. CEUR Workshop Proceedings, 1191.

Mazumdar, S., Ciravegna, F., Gentile, A.L., & Lanfranchi, V. (2012). Visualising context and hierarchy in social media. In International Workshop on Intelligent Exploration of Semantic Data (IESD’2012) at EKAW, Galway City, Ireland, 9 October 2012. http://imash.leeds.ac.uk/event/pdf/Mazumdar_7.pdf

Gentile, A.L., Lanfranchi, V., Mazumdar, S., & Ciravegna, F. (2011). Extracting semantic user networks from informal communication exchanges. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7031 LNCS (PART 1), 209-224. http://doi.org/10.1007/978-3-642-25073-6_14

Elbedweihy, K., Mazumdar, S., Cano, A.E., Wrigley, S.N., & Ciravegna, F. (2011). Identifying information needs by modelling collective query patterns. In Proceedings of the Second International Conference on Consuming Linked Data-Volume 782, Bonn, Germany, 23 October 2011 (pp. 1-12). http://ceur-ws.org/Vol-782/ElbedweihyEtAl_COLD2011.pdf

Mazumdar, S., Varga, A., Lanfranchi, V., Petrelli, D., & Ciravegna, F. (2011). A knowledge dashboard for manufacturing industries. In OntoPLM Workshop at Extended Semantic Web Conference, Heraklion, Greece, 29 May 2011 - 2 June 2011 (pp. 112-124).

Mazumdar, S., Varga, A., Lanfranchi, V., & Ciravegna, F. (2011). A knowledge dashboard for manufacturing industries. CEUR Workshop Proceedings, 748, 51-63.

Rowe, M., & Mazumdar, S. (2010). Integrating and interpreting social data from heterogeneous sources. In Abel, F., Herder, E., Houben, G.-.J., & Leonardi, E. (Eds.) Proceedings of Linked User Profiles and Applications on the Social Semantic Web, 7th Extended Semantic Web Conference 2010 (ESWC 2010). CEUR: http://ceur-ws.org/Vol-595/paper2.pdf

Mazumdar, S. (2010). Visualization of Large Datasets using Semantic Web Technologies. PhD Symposium at Extended Semantic Web Conference. http://ceur-ws.org/Vol-568/paper1.pdf

Petrelli, D., Mazumdar, S., Dadzie, A.-.S., & Ciravegna, F. (2009). Multi visualization and dynamic query for effective exploration of semantic data. Lecture notes in computer science, 5823, 505-520. http://doi.org/10.1007/978-3-642-04930-9_32

Book chapters

Mazumdar, S., & Wang, J. (2018). Cyber-situation awareness: a visual analytics perspective. In Parkinson, S., Crampton, A., & Hill, R. (Eds.) Guide to vulnerability analysis for computer networks and systems : an artificial intelligence approach. Springer: http://doi.org/10.1007/978-3-319-92624-7

Mazumdar, S., Wrigley, S., Ciravegna, F., Pelloquin, C., Chapman, S., De Vendectis, L., ... Bolognini, L. (2018). Crowdsourcing to enhance insights from satellite observations. In Bordogna, G., & Carrara, P. (Eds.) Mobile information systems leveraging volunteered geographic information for Earth observation. (pp. 35-52). Cham: Springer: http://doi.org/10.1007/978-3-319-70878-2_2

Haklay, M.M., Mazumdar, S., & Wardlaw, J. (2018). Citizen science for observing and understanding the Earth. In Mathieu, P.-.P., & Aubrecht, C. (Eds.) Earth observation open science and innovation. (pp. 69-88). Cham: Springer: http://doi.org/10.1007/978-3-319-65633-5_4

Lanfranchi, V., Mazumdar, S., Blomqvist, E., & Brewster, C. (2014). Roadmapping Discussion Summary. In Lanfranchi, L., Mazumdar, S., Blomqvist, E., & Brewster, C. (Eds.) Proceedings of the Social Media and Linked Data for Emergency Response Workshop at Extended Semantic Web Conference. CEUR: http://ceur-ws.org/Vol-1191/discussions.pdf

Lanfranchi, V., Mazumdar, S., Blomqvist, E., & Brewster, C. (2014). Roadmapping Discussion Summary. In Lanfranchi, L., Mazumdar, S., Blomqvist, E., & Brewster, C. (Eds.) Proceedings of the Social Media and Linked Data for Emergency Response Workshop at Extended Semantic Web Conference. CEUR: http://ceur-ws.org/Vol-1191/discussions.pdf

Gentile, A.L., Lanfranchi, V., Mazumdar, S., & Ciravegna, F. (2011). Extracting semantic user networks from informal communication exchanges. In Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., ... Blomqvist, E. (Eds.) ISWC 2011 : The Semantic Web. (pp. 209-224). Springer: https://link.springer.com/chapter/10.1007%2F978-3-642-25073-6_14

Books

Ivanova, V., Kauppinen, T., Lohmann, S., Mazumdar, S., Pesquita, C., & Xu, K. (Eds.). (2014). Visual 2014 : Visualizations and user interfaces for knowledge engineering and linked data analytics : Proceedings of the international workshop on visualizations and user interfaces for knowledge engineering and linked data analytics (VISUAL). CEUR. http://ceur-ws.org/Vol-1299/

Presentations

Read, J., Cudd, P., Mazumdar, S., Ciravegna, F., & Simpson, E. (2017). Digitising the acute service home assessment. Presented at: COT 2017 : 41st Annual Conference and Exhibition and Specialist Section – Older People, 19-20June 2017

Lanfranchi, V., Carvalho, R.F., Gentile, A.L., Mazumdar, S., & Ciravegna, F. (2011). A semantic knowledge management framework for informal communication exchanges. Presented at: Demo Track, 10th International Semantic Web Conference (ISWC 2011), Bonn, Germany, 2011

Postgraduate supervision

Knowledge acquisition via crowdsourced mobile app testing

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