UNIC Faculty Member’s Paper on Machine-Learning Methods Awarded “Computation 2020 Best Paper Award”
The paper on “Machine-Learning Methods for Computational Science and Engineering” by Professor Dimitris Drikakis et al. was recognised by the peer-reviewed journal in its inaugural Best Paper Awards
The paper on “Machine-Learning Methods for Computational Science and Engineering” by Professor Dimitris Drikakis et al. was recognised by Computation with its 2020 Best Paper Award.
The peer-reviewed, monthly journal instituted the Awards to recognize outstanding papers it has published, commencing with the winners of the papers published in 2020. A shortlist of papers was preselected by the Computation Editorial Office on the basis of the number of citations and downloads from the website, with the eventual winners from the nominations then determined by the Editorial Board together with the Editorial Office.
In the past few decades, Machine Learning (ML) has experienced a resurgence, branching into natural sciences and engineering. Moreover, many sectors have been investing heavily in ML to improve their products and services. In this regard, ML algorithms have become ubiquitous in many scientific and technological areas.
The Drikakis et al. paper, which was one of the most viewed papers in 2020 and top-cited in the last two years in Computation, provides a comprehensive review of the state-of-the-art in Machine Learning for computational science and engineering. The authors discuss how ML can speed up or improve the quality of simulation techniques such as computational fluid dynamics, molecular dynamics, and structural analysis. They explore the ability of ML to produce computationally efficient surrogate models that circumvent the need for the more expensive simulation techniques entirely. Furthermore, they elaborate on how scientists can use ML to process large amounts of data in engineering, medicine, astronomy, and computing. The paper also reviews how Machine Learning could be used to create more realistic and responsive virtual reality applications.
This recognition adds another accolade to Professor Drikakis’s academic and research reputation and achievements, while attesting to the internationalisation and excellence of the University of Nicosia.