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个人简介
Suparna De is a Lecturer in the Department of Computer Science and a member of the Distributed and Networked Systems research group. She obtained her Ph.D. and MSc. (with distinction) degrees at the Dept. of Electronic Engineering from the University of Surrey. Prior to this, she received her Master in Information Technology degree from the University of Delhi, India and a BSc. Physics (with honours) degree from St. Stephen's College, University of Delhi.
She serves on the editorial board of the International Journal of Distributed Sensor Networks and Elsevier High-Confidence Computing journals.
Research interests
Suparna's research applies machine learning and Semantic Web technologies to the broad domain of knowledge and data engineering, including deep learning for text data (derived from social networks and longitudinal social science datasets), semantic modelling and search and smart city data analytics. Her current work focusses on researching machine learning algorithms to automate metadata extraction and uplift for longitudinal social science questionnaires. Previous work has included research in Big Data analytics, visualisation and data fusion techniques for understanding city dynamics that involve the use of city resources.
She serves on the editorial board of the International Journal of Distributed Sensor Networks and Elsevier High-Confidence Computing journals.
Research interests
Suparna's research applies machine learning and Semantic Web technologies to the broad domain of knowledge and data engineering, including deep learning for text data (derived from social networks and longitudinal social science datasets), semantic modelling and search and smart city data analytics. Her current work focusses on researching machine learning algorithms to automate metadata extraction and uplift for longitudinal social science questionnaires. Previous work has included research in Big Data analytics, visualisation and data fusion techniques for understanding city dynamics that involve the use of city resources.
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CoRR (2023): 29-40
Future Generation Computer Systems (2023): 280-295
Sensorsno. 3 (2023): 1451-1451
2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)pp.444-451, (2022)
user-61447a76e55422cecdaf7d19(2022)
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