2024 Keynote Spekaers
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.
