Farid Meziane

Farid Meziane has over 35 years experience in higher education. He obtained a PhD in Computer Science from the University of Salford, UK on his work on producing formal specification from Natural Language requirements. The work was considered at that time as pioneering in the area and paved the way for a large interest in automating the production of software specifications from informal requirements. Upon completion of his PhD, he took a lecturer’s position at the Institute of Software Technology (IST) at the University Malaysia Sarawak (UNIMAS) where he spent three years. He returned in 1998 to the University of Salford where he spent the last twenty-two years. He was promoted to a professor and held a chair in Data and Knowledge Engineering and leading research in computer Science as the head of the Informatics Research Centre. Professor Farid led the REF2020 UoA11 submission at Salford until the end of July 2020. For eight years, Professor Meziane was the Associate Dean for International Development for the School of Computing, Science and Engineering and was behind the development of the Internationalisation strategy for the school and setting partnerships and collaborations with international partners. Professor Meziane is currently with the University of Derby holding a chair in Data Science and the head of the Data Science Research Centre. He has authored over 100 scientific papers and participated in many national and international research projects. He is the co-chair of the international conference on application of Natural Language to information systems; co-chair of the international conference on Information Science and Systems. He is serving the programme committee of over ten international conferences and in the editorial board of three international journals. He was awarded the Highly Commended Award from the Literati Club, 2001 for his paper on Intelligent Systems in Manufacturing: Current Development and Future Prospects. His research expertise includes Natural Language processing, semantic computing, data mining and big data and knowledge Engineering.