JOURNAL PUBLICATIONS

2019

  • J. Nielson, K. Bhaganagar, R. Meka, A. Alaeddini, Using Atmospheric Inputs for Artificial Neural Networks to Improve Wind Turbine Power Prediction, Energy, In Press. (5-Year Impact Factor: 5.747)

  • S.H.A. Faruqui, Y. Du, R. Meka, A. Alaeddini, C. Li, S. Shirinkam, J. Wang, Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial JMIR mHealth and uHealth 7, no. 11 (2019): e14452. (Impact Factor: 4.301)

  • S. Shirinkam, A. Alaeddini, E. Gross, Identifying the Number of Components in Gaussian Mixture Models using Numerical Algebraic Geometry, Journal of Algebra and its Applications, (2019), In Press. DOI: 10.1142/S0219498820502047

  • S. Martinez, A. Alaeddini, K. Langer, A Sequential Weighted Laplacian Regularized Optimal Design for Response Surface Modeling of Expensive Functions with Outliers: An Application in Linear Elastic Fracture Mechanics, Quality Reliability Engineering International, 35.6 (2019):1911–1928. DOI: 10.1002/qre.2483

  • A. Alaeddini, P. Shi, J. E. Helm, S.H. Faruqui, An Integrated Framework for Reducing Hospital Readmissions using Risk Trajectories Characterization and Discharge Timing Optimization, IIE Transactions on Healthcare Systems Engineering, 9.2 (2019): 172-185. DOI: 10.1080/24725579.2019.1584133

  • A. Alaeddini, R. Meka, S. Martinez, E. Kraft, Sequential Laplacian Regularized V-Optimal Design of Experiments for Response Surface Modeling of Expensive Tests: An Application in Wind Tunnel Testing, IIE Transactions. 51.5 (2019): 559-576. DOI: 10.1080/24725854.2018.1508928

2018

 

  • S.H. Faruqui, A. Alaeddini, C.A. Jaramillo, J.S. Potter, M.J. Pugh. Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network. PLOS One. 13.7 (2018):1-22. DOI: 10.1371/journal.pone.0199768 J

  • A. Alaeddini, A. Motasemi, S.H.A. Faruqui, A Spatiotemporal Outlier Detection Methodology based on Partial Least Square Regression and Area Delaunay Triangulation for Image-based Process Monitoring, IIE Transactions, 50.2 (2018): 74-87. DOI: 10.1080/24725854.2017.1386336

 

2017

 

  • A. Alaeddini, C. Jaramillo, M.J. Pugh, S.H.A. Faruqui, Mining Major Transitions of Chronic Conditions in Patients with Multiple Chronic Conditions, Methods of Information in Medicine, 56.5 (2017): 391-400.

  • A. Alaeddini, SH. Hong, A Multi-Way Multi-Task Learning Approach for Multinomial Logistic Regression: An Application in Joint Prediction of Appointment Miss-Opportunities across Multiple Clinics, Methods of Information in Medicine, 56.4 (2017): 294-307. DOI: 10.3414/ME16-01-0112.

  • M. H. Bakhtiarifar, A. Amiri, A. Alaeddini, Economic-Statistical Design of Shewhart Control Charts with Fuzzy Parameters, Journal of Intelligent & Fuzzy Systems, 32.6 (2017): 3961-3971. DOI: 10.3233/JIFS151097.

 

2016

 

  • A. Motasemi, A. Alaeddini, and C. Zou. An Area-based Methodology for the Monitoring of General Linear Profiles. Quality and Reliability Engineering International, (2016): 159-181. DOI: 10.1002/qre.1998.

  • S. Shirinkam, A. Alaeddini, H. Millwater, On the Application of Multicomplex Algebras in Numerical Integration, Applied Mathematics & Information Sciences, 10.1 (2016): 1-9. DOI: 10.18576/amis/100101.

 

Earlier

 

  • J. E. Helm, A. Alaeddini, J. Stauffer, K. Bretthauer, Reducing Hospital Readmissions by Integrating Empirical Prediction with Resource Optimization, Production and Operations Management, 25.2 (2015): 233–257. DOI: 10.1111/poms.12377.

  •  A. Alaeddini, Ch. K. Reddy, K. Yang, Predicting Disturbances in Appointment Scheduling through Hybrid Probabilistic Modelling, IIE Transactions on Healthcare Systems Engineering, 5.1 (2015): 14-32. DOI: 10.1080/19488300.2014.993006.

  • A. Alaeddini, K. Yang, H. Mao, A. Murat, B. Ankenman, An Adaptive Sequential Experimentation Methodology for Expensive Response Surface Optimization- Case Study in Traumatic Brain Injury (TBI) Modelling. Quality and Reliability Engineering International, (2014): 767-793. DOI: 10.1002/qre.1523.

  •  G. Abdella, K. Yang, A. Alaeddini, Multivariate Adaptive Approach for Monitoring Simple Linear Profiles (VSSI-T2), International Journal of Data Analysis Techniques and Strategies (IJDATS), Special Issue for Micro Array Quality control, 6.1 (2014): 2-14.

  • A. Alaeddini, A. Murat, K. Yang, B. Ankenman, An Efficient Adaptive Sequential Methodology for Expensive Response Surface Optimization, Quality and Reliability Engineering International, 29.6 (2013): 799-817. DOI: 10.1002/qre.1432

  •  A. Alaeddini, K. Yang, A. Murat, ASRSM: A Sequential Experimental Design for Response Surface Optimization, Quality and Reliability Engineering International, 29.2 (2013): 241-258. DOI: 10.1002/qre.1306.

  •  G. Abdella, K, Yang, A. Alaeddini, On the Effect of Location of Explanatory Variable on Monitoring Polynomial Quality Profiles, International Journal of Engineering, 25.2 (2012): 131-140 ISSN 1025-2495.

  • A. Alaeddini, I. Dogan, Using Bayesian Networks for Root Cause Analysis in Statistical Process Control, Expert Systems with Applications, 38.9 (2011): 11230-11243

  • Y. Guo, K. Yang, A. Alaeddini, A Truncated Logistic Regression Model in Evaluation of Probability of Detection, Quality Engineering, 23.4 (2011): 365-377

  • A. Alaeddini, K. Yang, S. Q. Yu, Ch. K. Reddy, A Probabilistic Model for Predicting the Rate of No-Show in Hospital Appointments, Healthcare Management Science, 14.2 (2010): 146-157, DOI: 10.1007/s10729-011- 9148-9.

  •  M.H. Fazel Zarandi, A. Alaeddini, A General Fuzzy-Statistical Clustering Approach for Estimating the Time of Changes in Variable Sampling Control Charts, Information Sciences, 180 (2010): 3033–3044

  • M.H. Fazel Zarandi, A. Alaeddini, I.B. Turksen, M. Ghazanfari., Using Adaptive Neuro-Fuzzy Systems to Monitor Linear Quality Profiles, Journal of Uncertain Systems, 4.2 (2010): 147-160

  • A. Alaeddini, K. Yang, Adaptive Sequential Experiment Methodology for Response Surface Optimization, International Journal Quality Technology and Engineering, 1 (2009): 20-61.

  • Alaeddini, M. Ghazanfari, M. Amin Nayeri, A Hybrid Fuzzy-Statistical Clustering Approach for Estimating the Time of Changes in Shewhart Control Charts, Information Sciences, 170.11 (2009): 1769-1784.

  • M. Ghazanfari, A. Alaeddini, S.T.A. Niaki, M.B.G. Aryanejad, A Clustering Approach to Identify the Time of a Step Change in Shewhart Control Charts, Quality and Reliability Engineering International, 24.7 (2008): 765-778.

  • M.H. Fazel Zarandi, A. Alaeddini, I.B. Turksen, A Hybrid Fuzzy Adaptive Sampling –Run Rules for Shewhart Control Charts, Information Sciences, 17.8 (2008): 1152–1170.

  • M. Ghazanfari, A. Alaeddini, K. Noghondarian, A Novel Fuzzy Clustering Approach for Estimating the Time of Step Changes in Shewhart Control Charts, International Journal of Industrial Engineering and Production Research, 19.4 (2008): 39-64.

  • R. Noorosana, A. Alaeddini, Using Constraint Area Between Reference and Observed Curves to Monitor Nonlinear Profiles”, Azad University Research Journal, 54 (2004): 117-124.

 

BOOK CHAPTERS PUBLISHED

  • A. Alaeddini, K.G. Murty, DSS (Decision Support System) for Allocating Appointment Times to Calling Patients at a Medical Facility, Case Studies in Operations Research, Editor: K.G. Murty, Springer New York, (2015): 83-109. 

  • M.H. Fazel Zarandi, A. Alaeddini, I.B. Turksen, M. Ghazanfari, Analysis and Design of Intelligent Systems Using Soft Computing Techniques, Editors: Patricia Melin, Oscar Castillo, Eduardo G. Ramirez, Janusz Kacprzyk, Witold Pedrycz, Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, (2007).