Mohammed Muteb Alotaibi
- 2015جامعة كنقسنون لندن في المملكة المتحدة
دكتوراةدكتوراه في المعلوماتية الحيوية من جامعة كنقسنون لندن في المملكة المتحدة عام 2015
- 2011جامعة ايسكس في المملكة المتحدة
ماجستيرماجستير في علوم شبكات الحاسب الالي من جامعة ايسكس في المملكة المتحدة
- 1429جامعة الملك سعود
بكالوريوسكالوريوس في علوم الحاسب الالي من جامعة الملك سعود 1429
مساعد وكيل الجامعة للتطوير و الجودة للاعتماد الاكاديمي المؤسسي و البرامجي
عميد التطوير و الجودة
مدير مشروع الاعتماد الاكاديمي المؤسسي.
وكيل معهد البحوث و الاستشارات
وكيل عمادة البحث العلمي للتطوير و الجودة
عضو مجلس إدارة الجمعية الخيرية للرعاية الصحية بمنطقة تبوك
رئيس اللجنة الدائمة لصرف بدل التميز العلمي لأعضاء هيئة التدريس السعوديين و من في حكمهم
رئيس فريق كتابة تقرير الدراسة الذاتية لجامعة تبوك لغرض الاعتماد الاكاديمي المؤسسي الوطني .
عضو لجنة إعداد برنامج ماجستير علم البيانات بقسم علوم الحاسب الالي.
رئيس اللجنة الاعلامية للجمعية الخيرية للرعاية الصحية بمنطقة تبوك منذو تأسيسها عام 2015
رئيس نادي البرمجة بكلية الحاسبات و تقنية المعلومات من عام 1439 هـ
النشر العلمي :
Mohammed Alotaibi , Amani shaman, enhancing Polycystic ovarian syndrome women through private social network : Pilot study, Mhealth. 2019;4:32
Mohammed Alotaibi. A Social Robot for obesity management and awareness for children in Saudi . Online journal of Engineering , June 2018.
M Alotaibi, M albalawi and L alWakeel. A smart mobile pregnancy management and awareness system for Saudi Arabia. International Journal of Interactive Mobile Technologies. 2018
Elfaki AO, Alotaibi M. The role of M-health applications in the fight against Alzheimer's: current and future directions. Mhealth. 2018;4:32. Published 2018 Aug 8. doi:10.21037/mhealth.2018
M. Alotaibi, "A Study on Perception of Managing Hypertension through Social Networking in Gulf Countries". 9th IEEE Control and System Graduate Research Colloquium (ICSGRC), Shah Alam, Malaysia, 2018
M. Alotaibi and M. Albalawi, "A Mobile Gestational Diabetes Management and Educational System for Gulf Countries: System Architecture," . 2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC), Shah Alam, Malaysia, 2018, pp. 193-196, doi: 10.1109/ICSGRC.2018.8657496
- Mohammed Alotaibi. Investigating the Role of social robot in improving diabetes management among children. IJCSNS International Journal of Computer Science and Network Security, VOL.17 No.9, September 2017.
- N, alharbi, S. Lusignan, M.Alotaibi Analysis of Saudi government’s policies for Diabetes prevention: a document analysis, Global Journal of Health Science; Vol. 8, No. 11; 2016.
- M.Alotaibi, L.Alibrahim and N.Alharbi, Challenges associated with treating children with diabetes in Saudi Arabia. Diabetes Research and Clinical Practice
Vo 120, October 2016, Pages 235-240
- Mohammed Alotaibi, Amal Alsinan (2016), a mobile polycystic ovarian syndrome management and awareness system in gulf countries , IEEE Technically Sponsored SAI Computing Conference 2016 , London ,UK.
M Alotaibi , T. Alkhudaydi , Z. Aldubaisi, A social hypertension awareness and management system foe gulf countries (SHAMS): system architecture, the 2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE2016), india.
Alotaibi MM, Istepanian R, Philip N. A mobile diabetes management and educational system for type-2 diabetics in Saudi Arabia (SAED). Mhealth. 2016;2:33. Published 2016 Aug 24. doi:10.21037/mhealth.2016.08.01
Mohammed M. Alotaibi. A Study on the needs for Educating and managing Fasting Diabetes through mobile health in kingdom of Saudi Arabia, In International Journal of Computer Systems, pages 95-98, Volume 02- Issue 04, April, 2015.
M.Alotaibi , I.Chudaoury , A social robotics children diabetes management and educational system for Saudi Arabia: System architecture, The Second International Conference on Computer Science, Computer Engineering, & Social Media, Lodz, Poland. 2015.
M Alotaibi, A Mobile Diabetes Educational System for Fasting Type-2 Diabetics in Saudi Arabia. 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE).2015
Alotaibi, M.M.; Istepanian, R.S.H.; Sungoor, A.; Philip, N., An intelligent mobile diabetes management and educational system for Saudi Arabia: System architecture, in Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on , vol., no., pp.29-32, 1-4 June 2014.
Mohammed Alotaibi. (2014). Watch Health (w-health), Qatar Foundation Annual Research Conference Proceedings: Vol. , ITPP1196.
Alotaibi, M.M.; Istepanian, R.S.H.; Sungoor, A.; Philip, N., A potential intelligent mobile diabetes management and educational system for Saudi Arabia (SAED). 7th International Conference on Advanced Technologies & Treatments for Diabetes Austria, (2014).
M Alotaibi , M Albalawi, A Mobile Polycystic ovarian syndrom awareness : Pilot study, Medical informatics . Under publication.
جائزة المبادرات المجتمعية (المركز الثاني ) في المؤتمر الدولي للسكري و السمنة برعاية معالي وزير الصحة عام 2015 م
المشاركة في المؤتمرات كمتحدث أساسي :
2nd Joint UAE Symposium on Social Robotics for a topic under title : social robotics children diabetes management and educational system for Saudi arabia.
3n d Joint UAE Symposium on Social Robotics for a topic under title: Investigating the role of social Robotics in improving diabetes management and awareness among children.
The Saudi French forum: Innovation in diabetes management in children (0 -18 years). for a topic under title: The effectiveness of m-health in improving chronic disease management: Saudi Experience.
the Saudi French forum: Innovation in diabetes management in children (0 -18 years). for a topic under title: a strategic planning for using virtual methods in managing diabetes in Saudi Arabia.
An intelligent mobile diabetes management and educational system for Saudi Arabia: System architecture
This paper presents an intelligent mobile diabetes management and educational system for patients in Saudi Arabia with type 2 diabetes (SAED). The SAED system consists of two main components: (1) the SAED mobile patient/healthcare provider component and (2) the SAED intelligent diabetes management component. The SAED mobile patient/healthcare provider component includes two units (i) the patient's unit and (ii) the specialist diabetic unit, which communicate for data exchange. The SAED intelligent diabetes management component includes (i) a database module; (ii) an intelligent decision support module based on fuzzy logic concepts; (iii) a SAED SMS reminder module and (iv) a diabetes educational module. In general, SAED is a system capable of storing clinical data on diabetes management, such as daily blood glucose and blood pressure measurements and hypoglycaemia events. These stored records and the incorporated decision support system will allow the clinician to monitor patients remotely. Furthermore, the decision support system will provide the physician with recommendations for each patient using fuzzy logic theory.
A mobile Polycystic ovarian syndrome management and awareness system for Gulf countries: System architecture
The diagnosis and management of Polycystic Ovarian Syndrome is often a complicated process. Recent mobile health technologies are increasingly used in improving the self-management of chronic diseases such as diabetes and hypertension and several studies have proven its efficiency. Further, research has shown that increased awareness of the chronic disease helps the patients to effectively manage their disease and consequently reduce the complications arising due to chronic disease. In this paper, an innovative Mobile Polycystic Ovarian Syndrome management and educational system for women in Gulf Countries is presented. The presented system makes use of mobile health technologies. The aim of the system is to improve the Polycystic Ovarian Syndrome's management and awareness with women and to empower them with relevant knowledge about disease's management and awareness in gulf countries. The proposed system presented in this paper will be tested and evaluated extensively in a randomized controlled trial in Saudi Arabia as case study.
A mobile diabetes management and educational system for type-2 diabetics in Saudi Arabia (SAED)
Diabetes is a chronic disease, with high prevalence across many nations, which is characterized by elevated level of blood glucose and risk of acute and chronic complication. The Kingdom of Saudi Arabia (KSA) has one of the highest levels of diabetes prevalence globally. It is well-known that the treatment of diabetes is complex process and requires both lifestyle change and clear pharmacologic treatment plan. To avoid the complication from diabetes, the effective behavioural change and extensive education and self-management is one of the key approaches to alleviate such complications. However, this process is lengthy and expensive. The recent studies on the user of smart phone technologies for diabetes self-management have proven to be an effective tool in controlling hemoglobin (HbA1c) levels especially in type-2 diabetic (T2D) patients. However, to date no reported study addressed the effectiveness of this approach in the in Saudi patients. This study investigates the impact of using mobile health technologies for the self-management of diabetes in Saudi Arabia.
In this study, an intelligent mobile diabetes management system (SAED), tailored for T2D patients in KSA was developed. A pilot study of the SAED system was conducted in Saudi Arabia with 20 diabetic patients for 6 months duration. The patients were randomly categorized into a control group who did not use the SAED system and an intervention group whom used the SAED system for their diabetes management during this period. At the end of the follow-up period, the HbA1c levels in the patients in both groups were measure together with a diabetes knowledge test was also conducted to test the diabetes awareness of the patients. Results: The results of SAED pilot study showed that the patients in the intervention group were able to significantly decrease their HbA1c levels compared to the control group. The SAED system also enhanced the diabetes awareness amongst the patients in the intervention group during the trial period. These outcomes confirm the global studies on the effectiveness of smart phone technologies in diabetes management. The significance of the study is that this was one of the first such studies conducted on Saudi patients
and of their acceptance for such technology in their diabetes self-management treatment plans. Conclusions: The pilot study of the SAED system showed that a mobile health technology can significantly improve the HbA1C levels among Saudi diabetic and improve their disease management plans. The SAED system can also be an effective and low-cost solution in improving the quality of life of diabetic patients in the Kingdom considering the high level of prevalence and the increasingeconomic burden of this disease.
A social robotics children diabetes management and educational system for Saudi Arabia: System architecture
The diagnosis and management of Diabetes type 1 (Children diabetes) is often a complicated process. Recent mobile health technologies are increasingly used in improving the self-management of chronic diseases such as diabetes and several studies have proven its efficiency. Further, research has shown that increased awareness of the disease helps the diabetics to effectively manage their disease and consequently reduce the complications arising due to diabetes. In this paper, an innovative social robotic children diabetes management and educational system for diabetic children in Kingdom of Saudi Arabia is presented. The presented system makes use of Aisoy1 v5 robot in parallel with mobile health technologies. The aim of the system is to improve the diabetes type 1 management with children and to empower them with relevant knowledge about disease management to improve their awareness about the disease in Saudi Arabia. The proposed system presented in this paper will be tested and evaluated extensively in a randomized controlled trial in Saudi Arabia.
A mobile Diabetes educational system for fasting Type-2 diabetics in Saudi Arabia
A social hypertension awareness and management system (SHAMS) for gulf countries (SHAMS): System architecture
Challenges associated with treating children with diabetes in Saudi Arabia.