Dr Mazumdar is a lecturer in Data Analytics. His research explores developing techniques and mechanisms for reducing the barriers that impede user communities' understanding of vast complex multidimensional datasets. He conducts interdisciplinary research on highly engaging, interactive, and visual mechanisms in conjunction with complex querying techniques for seamless navigation, exploration, and understanding of complex datasets. Dr Mazumdar has applied my research in a wide range of application domains, such as Aerospace Engineering, Sports Informatics, Crisis/Emergency Management, Smart Cities, and Mobility Planning.
As a part of his research, he collaborates with large multi-disciplinary teams of academics, industry partners, city councils, and planners. He has worked in several extensive research and industrial projects funded by the European Union, Innovate UK, and the European Space Agency. Dr Mazumdar's research includes: (1) Studying and developing data and visual analytic techniques to analyse massive volumes of dynamic data in near real-time; (2) Citizen Science and Crowdsourcing Techniques for observing physical phenomena, events and environments; (3) User Interface Development, Human-Computer Interaction and user-centred Design; and (4) Assistive technologies to support independent activities of daily living.
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