| Name: | Mohamed Bashir |
| Job Title: | Associate Professor- Head of Information Systems & Business Analytics (ISBA) Department |
| College: | College of Business Administration |
| Email: | mohamed.bashir@asu.edu.om |
| Phone: 79990985 | Ext. 1226 |
I have 20 years of experience in teaching and research. Currently, I’m a Hod and assistant professor MIS department. I have many contributions to the field since 2000, along with several publications in international journals, and conferences.
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Ph.D. 27-02-2012 Computer Science Chungbuk National University South Korea
MBA 17-01-2008 Business Administration Science, in Marketing Management specialization. University of Medical Sciences & Technology Sudan
M.Sc. 21-09-2003 Computer Science and Information University of Gezira Sudan
PGDCS 22-06-2003 Computer Science University of Gezira Sudan
B.Sc. 20-07-1997 Economic & Administrative Sciences ( Business Administration) Omdurman Ahlia University Suda
My research interests are machine learning, data mining, dynamic learning for data mining, process mining ubiquitous computing, stream data processing, bioinformatics, biomedicine, and knowledge base information retrieval, with an emphasis on making data retrieval and exploration in emerging applications more effective, efficient, and robust.
Journal paper
Ryu KS, Park HW, Park SH, Shon HS, Ryu KH, Lee DG, Bashir M, et al. Comparison of clinical outcomes between culprit vessel only and multivessel percutaneous coronary intervention for ST-segment elevation myocardial infarction patients with multivessel coronary diseases. J Geriatr Cardiol. 2015;12(3):208–17.
DOI/URL:
Bashir MEA, Lee DG, Ishag IM, Okasha M, Sun H, Ryu KH. Adeptness Associative Learning Method for Real-Time Cardiac Arrhythmia Detection. The 4th International Conf FITAT Chiang Mai, Thailand2014;9–13.
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Lee DG, Ryu KS, Bashir M, Bae J-W, Ryu KH. Discovering Medical Knowledge using Association Rule Mining in Young Adults with Acute Myocardial Infarction. J Med Syst. 2013;37(2):9896.
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Bashir MEA, Ryu KS, Yun U, Ryu KH. Pro-Detection of Atrial Fibrillation using a Mixture of Experts.IEICE Transactions on Information and Systems2012;(12):2982–2990.
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Bashir MEA, Ryu KS, Park SH, Lee DG. Pro-detection of Atrial Fibrillation with ECG Parameters Mining Technique. 2012;717–24.
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Bashir MEA, Lee DG, Li M, Bae JW, Shon HS, Cho MC, et al. Trigger learning and ecg parameter customization for remote cardiac clinical care information system. IEEE Trans Inf Technol Biomed. 2012;16(4):561–71.
DOI/URL:
Bashir MEA, Lee DG, Akasha M, Yi GM, Cha EJ, Bae JW, et al. Highlighting the current issues with pride suggestions for improving the performance of real time cardiac health monitoring. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics). 2010;6266 LNCS:226–33.
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Conference paper
Bashir MEA, Ishaq IM, Okasha M, Ryu KS, Ho S, Ryu KH. Endoscopy Transmissions System for Remoteness Medical Diagnoses. The 5th International Conf FITAT Jilin, China 2015;125–129.
DOI/URL:
Bashir MEA, Yi GM, Piao M, Shon HS, Ryu KH. Fine-tuning ECG Parameters Technique for Precise Abnormalities Detection. In International Conf on Bioscience, Biochemistry and Bioinformatics ICBBB 2011;5:305–309.
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Lee DG, Yi Gyeong,Ryu KS, Bashir MEA,Ryu KH. The 8th Asian Symposium on Geographic Information Systems from a Computer Science & Engineering Viewpoint ASGIS 2010, Chongqing, China April 22-24 2010.
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Bashir MEA, Akasha M, Lee DG, Yi GM, Ryu KH. The 3rd International Conference FITAT 2010 Organizing the ECG Classifier’s Training Dataset with Ensemble Framework. In the 3rd International Conf FITAT 2010Yanji, China. 2010;1–5.
DOI/URL:
Bashir MEA, Akasha M, Lee DG, Yi G, Ryu KH, Cha EJ, et al. Nested Ensemble Technique for Excellence Real Time Cardiac Health Monitoring. In Int Conf Bioinforma Comput Biol BIOCOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA. 2010;519–25.
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Report
Bashir MEA, Lee DG, GyoyongSohn, Ryu KH.Detecting Cardiac Arrhythmia using Remote Sensor Networks: Technologies Methods and Problems. In 2nd International Conf FITAT Chanjue, South Korea. 2009.
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