Prof. Farid Meziane (Head of the Data Science Research Centre)
University of Derby, UK
Speech Title: Exploiting Web Resources to Support Automatic Course Design
Abstract: With the rapid advances in E-learning systems, personalisation and adaptability have now become important features in the education technology. Furthermore, there are many countries that are struggling to attract teachers in some disciplines such as computer science. This talk will focus on the development of an architecture for A Personalised and Adaptable E-Learning System (APELS) that attempts to contribute to addressing some of these challenges.
APELS aims to provide a personalised and adaptable learning environment to users from the freely available resources on the Web. Hence allowing individuals and teaching institutions to take advantage of Artificial Intelligence and the availability of learning resources. The architecture makes use of an ontology to model a specific learning subject and to extract the relevant learning resources from the Web based on a learner’s model (the learners background, needs and learning styles). The APELS system uses natural language processing techniques to evaluate the content extracted from relevant resources against a set of learning outcomes as defined by standard curricula to enable the appropriate learning of the subject. An application in the computer science field is used to illustrate the working mechanisms of the APELS system and its evaluation based on the ACM/IEEE computing curriculum. An experimental evaluation was conducted with domain experts to evaluate whether APELS can produce the right learning material that suits the learning needs of a learner. The results show that the produced content by APELS is of a good quality and satisfies the learning outcomes for teaching purposes.
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/
Prof. Tarek M. Sobh (Fellow of African Academy of Sciences, Fellow of The Engineering Society of Detroit)
President
Professor of Electrical and Computer Engineering
Lawrence Technological University, USA
Distinguished Professor and Dean of Engineering Emeritus
University of Bridgeport, USA
Biography: Professor Tarek M. Sobh
received the B.Sc. in Engineering degree with honors in Computer
Science and Automatic Control from the Faculty of Engineering,
Alexandria University, Egypt in 1988, and M.S. and Ph.D. degrees
in Computer and Information Science from the School of
Engineering, University of Pennsylvania in 1989 and 1991,
respectively. He is currently the President and a Professor of
Electrical and Computer Engineering at Lawrence Technological
University (LTU), Michigan. He is also a Distinguished Professor
and Dean of Engineering Emeritus at the University of
Bridgeport, Connecticut.
He was the Provost at LTU
(2020-2021), and has served as the University of Bridgeport (UB)
Executive Vice President, Research and Economic Development, and
the Founding Dean of the College of Engineering, Business, and
Education (2018-2020), Interim Provost (2020), and Distinguished
Professor of Engineering and Computer Science (2010-2020). He
was the Founding Director of the Interdisciplinary Robotics,
Intelligent Sensing, and Control (RISC) laboratory (1995-2020),
the Founder of the High-Tech Business Incubator at UB (CTech
IncUBator) (2010-2011), and the Founding Director of the UB
Innovation Center (2019-2020). He was the Senior Vice President
for Graduate Studies and Research (2014-2018), Vice President
(2008-2014), Vice Provost (2006-2008), Dean of the School of
Engineering (1999-2018), Interim Dean of the School of Business,
Director of External Engineering Programs, Interim Chair of
Computer Science and Computer Engineering, and Chair of the
Department of Technology Management. He also served as a
Professor of Computer, Electrical and Mechanical Engineering and
Computer Science (2000-2010) and an Associate Professor of
Computer Science and Computer Engineering (1995-1999) at UB, a
Research Assistant Professor of Computer Science at the
Department of Computer Science, College of Engineering,
University of Utah (1992-1995), and a Research Fellow at the
General Robotics and Active Sensory Perception (GRASP)
Laboratory of the University of Pennsylvania from (1989-1991).
His background is in the fields of computer science and
engineering, STEM Education, control theory, robotics,
automation, manufacturing, AI, computer vision and signal
processing. He has published over 275 refereed journal and
conference papers, and book chapters in these and other areas,
in addition to 27 books. Dr. Sobh served or currently serves on
the editorial boards of 18 journals, and has served as Chair,
Technical Program Chair and on the program committees of over
300 international conferences and workshops in the Robotics,
Computer Vision, Automation, Sensing, Computing, Systems,
Control, Online Engineering and Engineering Education areas. He
has presented more than 150 keynote speeches, invited talks and
lectures, colloquia and seminars at research meetings,
University departments, research centers, and companies.
Professor Sobh has supervised over 50 award-winning graduate and
undergraduate students working on different projects within
robotics, prototyping, computer vision, control, and
manufacturing; in addition to more than 300 undergraduate and
graduate students working on their B.S. projects, Master's
thesis or Ph.D. dissertations. Dr. Sobh is active in consulting
and providing service to many industrial organizations and
companies. He has consulted for several companies in the U.S.,
Switzerland, India, Malaysia, England, the United Arab Emirates,
Kazakhstan and Egypt, to support projects in higher education,
robotics, automation, manufacturing, sensing, and control. He
has also worked at Philips Laboratories in New York, and a
number of companies in Egypt. Dr. Sobh has been awarded over 60
research awards and grants to pursue his work in robotics,
automation, STEM education, manufacturing, and sensing.
Dr.
Sobh is a Fellow of the African Academy of Sciences, a member of
the Connecticut Academy of Science and Engineering, and a Fellow
of the Engineering Society of Detroit. Dr. Sobh is a recipient
of the ASEE Northeastern U.S. Distinguished Engineering
Professor of the Year award, the IEEE Northeast Technological
Innovation Research Award, an ACE Higher Education Award and
several other merits in recognition of his educational,
research, scholarly and service activities in engineering,
education, computing and diversity initiatives. Dr. Sobh is a
Licensed Professional Electrical Engineer (P.E.), a Certified
Manufacturing Engineer (CMfgE) by the Society of Manufacturing
Engineers, a Certified Professional Manager (C.M.) by the
Institute of Certified Professional Managers at James Madison
University, a Certified Reliability Engineer (C.R.E.) by the
American Society for Quality, a member of Tau Beta Pi
(Engineering Honor Society), Sigma Xi (Scientific Research
Society), Phi Beta Delta (International Honor Society), Upsilon
Pi Epsilon (National Honor Society for the Computing Sciences),
Phi Kappa Phi (Academic Honor Society), and an honorary member
of Delta Mu Delta (National Honor Society for Business
Administration).
Dr. Sobh is a trustee, senior member,
founding, executive, or board member of several professional
organizations including; the Association for Computing Machinery
(ACM), Institute of Electrical and Electronics Engineers (IEEE),
International Society for Optical Engineering (SPIE), National
Society of Professional Engineers (NSPE), American Society of
Engineering Education (ASEE), American Association for the
Advancement of Science (AAAS), Society of Manufacturing
Engineers (SME), International Association of Online Engineering
(IAOE), Bridgeport Discovery Museum, American University of Iraq
– Baghdad (AUIB), Michigan College Access Network (MCAN),
Michigan Independent Colleges and Universities Association
(MICU), Detroit Economic Club (DEC), Association of Independent
Technological Universities (AITU), Wolverine-Hoosier Athletic
Conference (WHAC), Automation Alley, and the Centrepolis
Accelerator. Dr. Sobh is a graduate of Victoria College,
Alexandria, Egypt, in 1983 and a life member of the Old
Victorians Association.
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.
Dr. Branislav Vuksanovic (Deputy Head of Department of Systems Engineering)
Military Technological College, Oman
Biography: Dr. Branislav
Vuksanovic is an Electrical and Power Engineer, with a long
academic and professional career. He completed his undergraduate
studies at the University of Belgrade, Serbia, and later earned
his MSc degree in Measurement and Instrumentation at South Bank
University in London, UK. He went on to complete his PhD in Active
Noise Control at the University of Huddersfield, UK.
Dr.
Vuksanovic has a career history, which includes working as a
Project Engineer for the Croatian Electricity Board in Osijek,
Croatia, and as a Research Fellow at Sheffield and Birmingham
Universities on medical imaging research projects. At the
University of Derby, he worked as a Lecturer and was a member of
the Sensors and Controls Research Group. He moved to theUniversity
of Portsmouth where he first worked as a Senior Lecturer and later
as an Associate Head of School for Research and Innovation at the
School of Energy and Electronic Engineering. Currently he is a
Deputy Head of Department of Systems Engineering at the Military
Technological College in Oman.
He has written and published
research papers, including those in the areas of active noise
control, biomedical signal processing, and pattern recognition for
intrusion detection and knowledge-based authentication. He has
also authored a book in the Digital Electronics and
Microcontrollers field, and organized and chaired several
international conferences and workshops. Dr. Vuksanovic currently
serves as an Editor-In Chief for the Journal of Image and Graphics
and is a member of the IET and ASR. His current research interests
revolve around the application of pattern recognition techniques
for power systems, acoustic noise analysis and the processing of
ground-penetrating radar data.