PROF. ASADULLAH SHAIKH received a B.Sc. degree in software development from the University of Huddersfield, England, an M.Sc. degree in software engineering and management from Goteborg University, Sweden, and the Ph.D. degree in software engineering from the University of Southern Denmark. He is currently working as an Associate Professor, the Head of research, and the Coordinator of seminars and training with the College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia. He has more than 200 publications in the area of software engineering in international journals and conferences. His publications have been cited more than 1800 times (H-index = 20 and i10 index = 56) according to Google Scholar. He has vast experience in teaching and research. His current research topics are UML model verification, UML class diagrams verification with OCL constraints for complex models, formal verification, feedback technique for unsatisfiable UML/OCL class diagrams. He has worked as a Researcher in UOC Barcelona Spain. He is also the Editor of the International Journal of Advanced Computer Systems and Software Engineering (IJACSSE) and an International Advisory Board of several conferences and journals.
PROF. UFFE KOCK WIIL received the M.Sc. and Ph.D. degrees from Aalborg University, Denmark, in 1990 and 1993, respectively. Since 2004, he has been a Full Professor with The Maersk Mc-Kinney Moller Institute, University of Southern Denmark. From 2012 to 2018, he was a Grant Holder and Principal Investigator of Patient@home aimed at developing products and services that contributed actively to help resolve the great challenges facing the healthcare system and society (budget: > 350m DKK). He has published over 200 research papers (over 150 of these in peer-reviewed international journals, conference proceedings, and books). His publications have been cited more than 3000 times (H-index = 30) according to Google Scholar. His research interests include data analytics and visualization, user involvement, software technologies, social network analysis and mining, and innovation management with a particular focus on application within data-driven health technology (intelligent monitoring and decision support; predictive models for prevention, early detection, diagnosis, treatment and prognosis; digital health systems offering novel personalized data collection, treatment plans and interventions). He is serving on the Editorial Boards for the Journal of Network and Computer Applications (Elsevier), the Social Network Analysis and Mining (Springer), the Journal of Healthcare Informatics Research (Springer), and the Frontiers Journal of Digital Mental Health. He is the Editor-in-Chief of the Network Modeling Analysis in Health Informatics and Bioinformatics (Springer)
DR. ABDULLAH ALGHAMDI has a Ph.D. in Computer and Information Systems Engineering from Tennessee State University, Nashville, TN. Dr. Alghamdi obtained his M.Sc in Networking and Systems Administration from Rochester Institute of Technology, Rochester, NY and B.Sc in Information Systems from the Al-Imam University, Saudi Arabia. Dr. Alghamdi is currently working as an associate professor of Information Systems at Najran University, Najran, Saudi Arabia. He is also trustee and executive secretary of scientific board. He has many publications in reputable journals and conferences. He is experienced in research, administration and teaching. He has been reviewer and guest editor of many journals. His current research topics are: interdisciplinary applications, and big data analytics, cybersecurity, networking, and IoT.
PROF QING TAN is a professor. He earned his PhD in Cybernetics Engineering for Robotics from the Norwegian Institute of Technology in 1993. The Japan Atomic Energy Research Institute invited him as a foreign senior research fellow in 1994. He did his post-doctoral fellowship at University of Alberta. He joined Athabasca University in 2007 with extensive IT industrial experiences. Dr. Tan is teaching and developing undergraduate and graduate courses including Mobile Computing, Computer Networking, Cloud Computing, and Enterprise Modeling and supervising the students. His research interests include Cyber-Physical Systems, Telepresence Robotics, Internet of Things, AR/VR/MR, Big Data Analytics, Mobile Computing, Adaptive Learning Technology, Cloud Computing, Cyber Security and Data Privacy, and Location-based Technology. His research also involves using Artificial Intelligence, Machine Learning, and Blockchain for application solutions, and studying on the social impact of advanced computing and information technologies. Dr. Tan was one of the earlier researchers to introduce the location awareness of mobile devices into mobile learning applications. Dr. Tan developed the Location-Based Dynamic Grouping Algorithm for collaborative mobile learning, the 5R Adaptation Framework for location-based mobile learning system, and the Location-based Object Identification Algorithm for using AR in adaptive mobile learning. Dr. Tan is striving to solve the application issues. Recently, his research mainly focuses on the remote lab solution: Telepresence Robot Empowered Smart Lab (TRESL) to enable online students to conduct their lab works via the Internet, and Privacy Protection in the Big Data. Dr. Tan received many research grants and published many papers on international journals and conferences. He has co-chaired or been Technical Program Committee members of many international conferences. He has delivered keynotes and invited speeches for many international conferences. He is also sitting as editorial board members and reviewers of many academic journals as well as an editor-in-chief.
