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
Bijoy, M.H., Hasan, N., Biswas, M., Mazumdar, S., Jimenez, A., Ahmed, F., ... Momen, S. (2024). Towards Sustainable Agriculture: A Novel Approach for Rice Leaf Disease Detection Using dCNN and Enhanced Dataset. IEEE Access, 12, 34174-34191. http://doi.org/10.1109/access.2024.3371511
Roychowdhury, S., Mazumdar, S., Thakker, D., Checco, A., Lanfranchi, V., & Goodchild, B. (2024). Integrating Virtual Walkthroughs for Subjective Urban Evaluations: A Case Study of Neighbourhoods in Sheffield, England. Land, 13 (6). http://doi.org/10.3390/land13060831
Cox, A.M., & Mazumdar, S. (2024). Defining artificial intelligence for librarians. Journal of Librarianship and Information Science, 56 (2), 330-340. http://doi.org/10.1177/09610006221142029
Qi, J., Mazumdar, S., & Vasconcelos, A.C. (2024). Understanding the Relationship between Urban Public Space and Social Cohesion: A Systematic Review. International Journal of Community Well-Being, 7 (2), 155-212. http://doi.org/10.1007/s42413-024-00204-5
Kureshi, R.R., Mishra, B.K., Thakker, D., Mazumdar, S., & Li, X. (2023). Digital health and indoor air quality: an IoT-driven human-centred visualisation platform for behavioural change and technology acceptance. 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), 104-113. http://doi.org/10.1049/icp.2024.0471
Yan, R., Zhao, X., & Mazumdar, S. (2023). Chatbots in libraries: A systematic literature review. Education for Information, 39 (4), 431-449. http://doi.org/10.3233/efi-230045
Mazumdar, S., Thakker, D., Hayes, J., Matos, N., & Bate, P. (2023). Towards achieving net zero by 2050 in the UK – Stakeholder perspectives in integrated urban planning. Futures, 152, 103197. http://doi.org/10.1016/j.futures.2023.103197
Mazumdar, S., Qi, J., Thakker, D., & Goodchild, B. (2023). Understanding urban planning outcomes in the UK. International Journal of E-Planning Research, 12 (1), 1-40. http://doi.org/10.4018/ijepr.326126
Liu, Y., Mazumdar, S., Bath, P.A., Bath, P.A., & Alzheimer's Disease Neuroimaging Initiative, (2023). An unsupervised learning approach to diagnosing Alzheimer's disease using brain magnetic resonance imaging scans. International journal of medical informatics, 173, 105027. http://doi.org/10.1016/j.ijmedinf.2023.105027
Mazumdar, S., Ehdeed, S., Jimenez, A., Ahmed, F., Momen, S., & Rasheduzzaman, M. (2023). Understanding the information landscape in agricultural communities in rural Bangladesh. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES, 89 (1). http://doi.org/10.1002/isd2.12245
Hasan, M., Bath, P.A., Marincowitz, C., Sutton, L., Pilbery, R., Hopfgartner, F., ... Goodacre, S. (2022). Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning methods. Computers in Biology and Medicine, 151 (A). http://doi.org/10.1016/j.compbiomed.2022.106024
Babirye, C., Muyoya, C., Mazumdar, S., Jimenez, A., Maina, C., Matogoro, J., ... Kleine, D. (2022). Data science for empowerment: understanding the data science training landscape for women and girls in Africa. Gender, Technology and Development, 26 (3), 437-462. http://doi.org/10.1080/09718524.2022.2137562
Marincowitz, C., Stone, T., Hasan, M., Campbell, R., Bath, P.A., Turner, J., ... Goodacre, S. (2022). Accuracy of emergency medical service telephone triage of need for an ambulance response in suspected COVID-19: an observational cohort study. BMJ open, 12 (5). http://doi.org/10.1136/bmjopen-2021-058628
Boyd, D.S., Foody, G.M., Brown, C., Mazumdar, S., Marshall, H., & Wardlaw, J. (2022). Citizen science for Earth Observation (Citizens4EO): understanding current use in the UK. International Journal of Remote Sensing, 43 (8), 2965-2985. http://doi.org/10.1080/01431161.2022.2076574
Marincowitz, C., Stone, T., Bath, P., Campbell, R., Turner, J.K., Hasan, M., ... Goodacre, S. (2022). Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. BMJ QUALITY & SAFETY. http://doi.org/10.1136/bmjqs-2021-014382
Marincowitz, C., Sutton, L., Stone, T., Pilbery, R., Campbell, R., Thomas, B., ... Goodacre, S. (2022). Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting: an observational cohort study. Emergency Medicine Journal. http://doi.org/10.1136/emermed-2021-211934
Marincowitz, C., Sutton, L., Stone, T., Pilbery, R., Campbell, R., Thomas, B., ... Goodacre, S. (2021). Prognostic accuracy of triage tools for adults with suspected COVID-19 in a pre-hospital setting: an observational cohort study. . http://doi.org/10.1101/2021.07.27.21261031
Marincowitz, C., Stone, T., Bath, P., Campbell, R., Turner, J., Hussein, M., ... Goodacre, S. (2021). Accuracy of telephone triage for predicting adverse outcome in suspected COVID-19: An observational cohort study. . http://doi.org/10.1101/2021.06.24.21259441
Marincowitz, C., Stone, T., Hasan, M., Campbell, R., Bath, P., Turner, J., ... Goodacre, S. (2021). Accuracy of emergency medical service telephone triage of need for an ambulance response in suspected COVID-19: An observational cohort study. . http://doi.org/10.1101/2021.10.12.21264136
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
Parsons, L., & Hill, M. (2015). Preface. International review of neurobiology, 125, xi-xii. http://doi.org/10.1016/s0074-7742(15)00144-0
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
Thakker, D., Mishra, B.K., Abdullatif, A., Mazumdar, S., & Simpson, S. (n.d.). Explainable Artificial Intelligence for Developing Smart Cities Solutions. Smart Cities, 3 (4), 1353-1382. http://doi.org/10.3390/smartcities3040065
Ali, M.U., Mishra, B.K., Thakker, D., Mazumdar, S., & Simpson, S. (n.d.). Using Citizen Science to Complement IoT Data Collection: A Survey of Motivational and Engagement Factors in Technology-Centric Citizen Science Projects. IoT, 2 (2), 275-309. http://doi.org/10.3390/iot2020015
Conference papers
Mazumdar, S., Maikore, F., Lanfranchi, V., Roychowdhury, S., Webber, R., Baird, H.M., ... Webb, T.L. (2023). Understanding the Relationship Between Behaviours Using Semantic Technologies. In Communications in Computer and Information Science, (pp. 103-109). Springer Nature Switzerland: http://doi.org/10.1007/978-3-031-35998-9_15
Albar, L., Lanfranchi, V., & Mazumdar, S. (2023). Communication Needs of Individuals with Aphasia and Caregivers in Unplanned Activities. In Lecture Notes in Computer Science, (pp. 491-508). Springer Nature Switzerland: http://doi.org/10.1007/978-3-031-35897-5_35
Qi, J., Mazumdar, S., & Vasconcelos, A.C. (2023). Datafication in Smart Cities: Understanding How the Public Experience Urban Environments. Proceedings of the European Conference on Research Methods in Business and Management Studies, 2023-September, 260-263.
Alnuhayt, A., Mazumdar, S., Lanfranchi, V., & Hopfgartner, F. (2022). Understanding Reactions to Misinformation - a COVID-19 Perspective. Proceedings of the International ISCRAM Conference, 2022-May, 687-700.
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. 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. 2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT), 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. In Lecture Notes in Computer Science, (pp. 209-224). Springer Berlin Heidelberg: 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.
Elbedweihy, K., Mazumdar, S., Cano, A.E., Wrigley, S.N., & Ciravegna, F. (2011). Identifying information needs by modelling collective query patterns. CEUR Workshop Proceedings, 782.
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