- Duration: 12.5 hours, spread over 6 weeks
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Dr Ovidiu Serban
Ovidiu Șerban is a Research Fellow at the Data Science Institute (DSI), Imperial College London. His current work includes real-time Natural Language Processing, Data Curation and Large Scale Visualisation Systems.
Ovidiu’s research topics are Natural Language Processing, Machine Learning, Affective Computing and Interactive System Design. He holds a joint PhD from INSA de Rouen Normandy (France) and “Babeș-Bolyai” University (Romania), while working at LITIS Laboratory in France.
In his youth, Ovidiu worked at the Institute for Security Science and Technology (ISST), Imperial College London; Computer Lab, University of Cambridge, UK and ISR Laboratory, University of Reading, UK.
IMPERIAL COLLEGE LONDON AND THE DATA SCIENCE INSTITUTE
Consistently rated amongst the world's best universities (3rd in Europe and 7th in the World, QS World University Rankings 2022), Imperial College London is a science-based institution with an international reputation for excellence in teaching and research. Imperial attracts over 19,000 students and 8,000 staff of the highest international quality from over 136 different countries. Imperial has recently been named University of the Year 2022 by The Times and Sunday Times’ Good University Guide.
Since its foundation in 1907, Imperial's contributions to society have included the discovery of penicillin, the development of holography and the foundations of fibre optics. This commitment to the application of research for the benefit of all continues today, with current areas of focus including interdisciplinary collaborations to improve global health, tackle climate change, develop sustainable sources of energy, address security challenges, develop data management and analysis technologiesfor supporting data driven research, and tackling problems at molecular scale.
Imperial’s Centre for Continuing Professional Development had extensive experience in developing and running a range of online summer schools for undergraduate students. We draw on Imperial’s education pedagogy in online learning to design and deliver summer schools that provide an engaging learning experience for students. Various interactive applications are used to support live teaching, online group projects are designed to assess students’ learning outcomes and virtual social platform created in Flipgrip will provide students with a networking environment.
The Data Science Institute (DSI) is a major Imperial College London initiative that brings together Imperial’s existing data science activities and expertise, and provides a focus and a catalyst for new partnerships.
The DSI supports multidisciplinary collaborations between the College’s academic experts in many disciplines such as healthcare, financial services, climate science, and city infrastructure to create solutions to complex problems. Alongside research, the Institute fosters the next generation of data scientists and engineers by developing a range of postgraduate and executive courses.
The DSI includes 7 Academic Labs, has attracted over £50m in funding for data science research, technology and infrastructure and has published over 300 papers.
The Institute’s Data Observatory (DO) was one of the first and largest visualisation suites in Europe. It provides a multi-dimensional and immersive environment to analyse large and complex data sets and to work collaboratively.
Thanks to its many research collaborations both across College and with a variety of external academic and industrial partners, the DSI is establishing its role as an international hub in data science.