Prof. Farid Meziane (Head of the Data Science Research Centre)
University of Derby, UK
Biography: Farid Meziane is a professor of Data
Science, Head of the Data Science Research Centre, the University’s
lead for the Data Science academic research theme and the chair of the
college of Science and Engineering Research Committee at the
University of Derby, UK. 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.
He has authored over 200
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 in the programme committee of over ten international
conferences. He is an associate editor for the data and knowledge
engineering (Elsevier) journal and the managing editor of the
International Journal of Information Technology and Web Engineering
(IDEA publishing). 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.
Webpage:
https://www.derby.ac.uk/staff/farid-meziane/
Assoc. Prof. Harry Yu
University of Derby, UK
Speech Title: Generative AI (LLM) for Software Engineering: Current Work and Challenges and Future Directions
Biography: Dr. Hongqing
(Harry) Yu, a distinguished Associate Professor in Data Science at
the University of Derby, serves as both the Chair of the Master's
Teaching Committee and the leader of the master's degree portfolio
within the School of Computing. His career is marked by leading
several high-profile projects funded by European and UK bodies,
including two pivotal Innovate UK research projects focused on
digital twins in the aerospace sector and a knowledge exchange
partnership project dedicated to multimodal data analytics for
rail inspection.
With a Ph.D. in Data Science domain and MSc in
Software Engineering from the University of Leicester, Dr. Yu has
made significant contributions to the fields of data analytics and
generative AI. His research ambitiously spans big data analytics,
machine learning, service-oriented programming, and the practical
application of Large Language Models (LLMs), achieving remarkable
progress in healthcare system, digital twins for engineering, and
sports analytics. Recent research on combining Natural Langue
Processing and knowledge graph technologies for developing
intelligent systems in bioengineering and automative data analysis
published in high impact journals recently have create great
impacts in both academia and industry.
Since he joined
University of Derby, his research is extended into more
engineering and applied AI area with his extensive knowledge
gained from his previous research. He is currently leading
research projects with Bloc Digital on digital twins and knowledge
exchange partnership project dedicated to multimodal data
analytics for inspection problems illustrated the big achievements
of gaining recognitions of his AI research. He also supervised 12
Ph.D. students, demonstrating his commitment to fostering the next
generation of scientists in AI and data science. His academic
prowess is further evidenced by his authorship of over 50
publications and his leadership roles in several internationally
renowned, high-impact journals. Recognized for his groundbreaking
work, Dr. Yu was honored with the University of Derby's
Exceptional Contribution Award in 2023, underscoring his
influential role in advancing the frontiers of computer science
research and education.