Keynote Speakers (More distinguished experts
will be added)
University of Gloucestershire, UK
Dr. Salah Al-Majeed,
highly experienced academic manager with successful
accomplishments records of brand technology, product innovations
and corporate communication. A proficient academic Professor
with extensive international profile and high quality of
delivering academic teaching and research. Prof Al-Majeed is the
Academic Subject Leader (Head) of Engineering and Technology at
School of Business and Technology, University of
Gloucestershire. Prior to his current position, Dr Salah was
Head of Systems Engineering School at the Military Technological
College -MTC Oman (partner with University of Portsmouth, UK).
In addition to his role as academic and manager, Salah has an extensive portfolio of Industrial, Academia and R&D works, leading the innovation of implementing technologies. Conduct research into issues and challenges in data exploration through Internet of Things (IoT) and Smart Environment (including Smart City and Biomedical and Health informatics) from a multitude of perspectives, which is driving breakthroughs and innovation in a range of areas, such as Sensor, E-Health, Telemedicine and Mobile Telemedicine, Wireless Networks (4G and 5G) for different layers and applications. Where that can be seen through his role as a lead consultant at North Caspian Operating Company - NCOC – Kazakhstan for Sensabot project and collaborating closely with Huawei, Shell and Carnegie Mellon University – CMU, USA. In addition, his research projects were supported and funded by UK, EU and International organizations and companies.
Prof Al-Majeed is an Editor-in-Chief of Computer Science Engineering: An International Journal, and Editorial Member, International Journal of Computer Science, Engineering and Applications. In addition to his recognition as a Senior Member of IEEE, he is a reviewer for many well-known journals including IEEE transections and an invited keynote speaker for many of international conferences and events. Recently, he was the Technical Activities Officer of IEEE Oman Section.
Speech Title: Three Dimensions Engineering view in Future Healthcare
Abstract: The development of a neural network able to identify EEG markers indicating the proportion of available information an individual accepts as true, or rejects as false (their bias). This is important as effective information processing underpins good situation awareness, and effective decision making. The ever-increasing availability of information, including false information, is making information selection increasingly difficult for key decision makers. Automating the detection of bias will reveal a previously hidden aspect of information processing. Despite all the differences existing between the fMRI and the EEG, their combination is useful in several cases. Indeed, this combination have been used in identifying ICU patients with severe traumatic brain injuries who have a level of consciousness not revealed by the standard bedside neurological examination. Combining Brain Signal (EEG/MRI) and AI with other Internet of Things (IoT) technologies like heart rate monitoring, facial emotion recognition, and data mining will not only enhance the picture describing the brain and its functions but also jump another step forward to predict what will be next step?