Fadel M. Megahed

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Lora CavuotoAssociate Professor, University at BuffaloVerified email at buffalo.edu
William H. WoodallProfessor Emeritus of Statistics, Virginia TechVerified email at vt.edu
L. Allison Jones-FarmerVan Andel Professor of Analytics, Miami UniversityVerified email at miamioh.edu
Jaime A. CamelioRolls-Royce Commonwealth Professor for Advanced Manufacturing - Virginia TechVerified email at vt.edu
Mohammad Ali Alamdar YazdiJohns Hopkins UniversityVerified email at jhu.edu
Lin LuAssistant Professor, Fairfield UniversityVerified email at fairfield.edu
Zahra Sedighi MamanAssistant Professor of Business Analytics, Adelphi UniversityVerified email at adelphi.edu
Bin WengApplied Scientist at AmazonVerified email at amazon.com
Amir BaghdadiPostdoctoral Associate, Department of Clinical Neurosciences, University of CalgaryVerified email at ucalgary.ca
Steven E. RigdonSaint Louis UniversityVerified email at slu.edu
Waldyn MartinezAssociate Professor Business Analytics, Miami UniversityVerified email at miamioh.edu
Ali DagAssociate Professor of Analytics, Heider College of Business, Creighton UniversityVerified email at creighton.edu
Asil Oztekin, Ph.D.Associate Professor of Analytics & Operations Management, UMass LowellVerified email at uml.edu
Alexander VinelAuburn UniversityVerified email at auburn.edu
Miao CaiSaint Louis UniversityVerified email at slu.edu
Amir MehdizadehPh.D. studentVerified email at auburn.edu
Karen DavisComputer Science and Software Engineering, Miami University (formerly at University of Cincinnati)Verified email at miamioh.edu
Qiong HuAuburn UniversityVerified email at auburn.edu
Yao-Te TsaiAssistant Professor at Feng Chia UniversityVerified email at fcu.edu.tw
Ehsan Tarkesh EsfahaniAssociate Professor, University at BuffaloVerified email at buffalo.edu

Fadel M. Megahed

Associate Professor of Business Analytics, Miami University

Verified email at miamioh.edu - Homepage

Business Analytics Fatigue Modeling Statistical Process Monitoring Transportation Safety Wearables


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A data-driven approach to modeling physical fatigue in the workplace using wearable sensors ZS Maman, MAA Yazdi, LA Cavuoto, FM Megahed Applied ergonomics 65, 515-529, 2017	123	2017
Stock market one-day ahead movement prediction using disparate data sources B Weng, MA Ahmed, FM Megahed Expert Systems with Applications 79, 153-163, 2017	118	2017
A review and perspective on control charting with image data FM Megahed, WH Woodall, JA Camelio Journal of quality technology 43 (2), 83-98, 2011	115	2011
Predicting short-term stock prices using ensemble methods and online data sources B Weng, L Lu, X Wang, FM Megahed, W Martinez Expert Systems with Applications 112, 258-273, 2018	110	2018
Exponential CUSUM charts with estimated control limits M Zhang, FM Megahed, WH Woodall Quality and Reliability Engineering International 30 (2), 275-286, 2014	104	2014
Geometric charts with estimated control limits M Zhang, Y Peng, A Schuh, FM Megahed, WH Woodall Quality and Reliability Engineering International 29 (2), 209-223, 2013	87	2013
A spatiotemporal method for the monitoring of image data FM Megahed, LJ Wells, JA Camelio, WH Woodall Quality and Reliability Engineering International 28 (8), 967-980, 2012	80	2012
Predicting heart transplantation outcomes through data analytics A Dag, A Oztekin, A Yucel, S Bulur, FM Megahed Decision Support Systems 94, 42-52, 2017	69	2017
Statistical Perspectives on 'Big Data' FM Megahed, LA Jones-Farmer Frontiers in Statistical Quality Control 11, 29-47, 2015	66	2015
A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival A Dag, K Topuz, A Oztekin, S Bulur, FM Megahed Decision Support Systems 86, 1-12, 2016	55	2016
Real-time fault detection in manufacturing environments using face recognition techniques FM Megahed, JA Camelio Journal of Intelligent Manufacturing 23 (3), 393-408, 2012	52	2012
Statistical process monitoring approach for high-density point clouds LJ Wells, FM Megahed, CB Niziolek, JA Camelio, WH Woodall Journal of Intelligent Manufacturing 24 (6), 1267-1279, 2013	49	2013
A survey of the prevalence of fatigue, its precursors and individual coping mechanisms among US manufacturing workers L Lu, FM Megahed, RF Sesek, LA Cavuoto Applied Ergonomics 65, 139-151, 2017	47	2017
Statistical learning methods applied to process monitoring: An overview and perspective M Weese, W Martinez, FM Megahed, LA Jones-Farmer Journal of Quality Technology 48 (1), 4-24, 2016	45	2016
A machine learning approach to detect changes in gait parameters following a fatiguing occupational task A Baghdadi, FM Megahed, ET Esfahani, LA Cavuoto Ergonomics 61 (8), 1116-1129, 2018	44	2018
A data analytic framework for physical fatigue management using wearable sensors ZS Maman, YJ Chen, A Baghdadi, S Lombardo, LA Cavuoto, ... Expert Systems with Applications 155, 113405, 2020	29	2020
A framework for variation visualization and understanding in complex manufacturing systems LJ Wells, FM Megahed, JA Camelio, WH Woodall Journal of Intelligent Manufacturing 23 (5), 2025-2036, 2012	28	2012
An image-based multivariate generalized likelihood ratio control chart for detecting and diagnosing multiple faults in manufactured products Z He, L Zuo, M Zhang, FM Megahed International Journal of Production Research 54 (6), 1771-1784, 2016	27	2016
Understanding Fatigue and the Implications for Worker Safety L Cavuoto, F Megahed ASSE Professional Development Conference and Exposition, 2016	21	2016
Macroeconomic indicators alone can predict the monthly closing price of major US indices: Insights from artificial intelligence, time-series analysis and hybrid models B Weng, W Martinez, YT Tsai, C Li, L Lu, JR Barth, FM Megahed Applied Soft Computing 71, 685-697, 2018	19	2018

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