Our research group in Mechanical Engineering at The University of Texas at San Antonio work on the analysis of very large and very small datasets including complex experimental and observational data, multi-stream signals, and image data, for predictive analytics and decision making. Our work is strongly data-driven, where mathematical models are paired with data and statistical/empirical methods to drive meaningful change in complex systems. Our developed methodologies have been considerably funded and widely utilized in a variety of applications ranging from healthcare to defense to manufacturing.




  • 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)

  • 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



  • A Graduate Research Assistant (GRA) position is available for students with a solid math (statistical) background and good programming (MATLAB/Python) skills




  • September 8, 2020, Dr. Alaeddini contributed to a panel discussion at The University of Texas at El Paso (UTEP) Town Hall on  Strengthening National Foundation for Advanced Modeling & Simulations at HBCU/MSI

  • September 5, 2020, Publication in ." Fatigue & Fracture of Engineering Materials & Structures, Characterization of residual stresses from cold expansion using spatial statistics

  • June 10, 2020, Publication in IEEE, An Active Learning Methodology for Efficient Estimation of Expensive NoisyBlack-Box Functions using GaussianProcess Regression.

  • April 22, 2020, Publication in JMIR Medical Informatics (JMI), Summarizing Complex Graphical Models of Multiple Chronic Conditions Interactions using the 2nd Eigenvalue of Graph Laplacian.

  • December 30, 2019, Publication in Methods of Information in Medicine, Analysis of Feature Extraction Methods for Prediction of 30-day Hospital Readmissions.

  • September 3, 2019, Rajitha Meka has been selected as the finalist for the best student paper competition award of the Quality Statistics and Reliability (QSR) at INFORMS 2019 conference in Seattle, Washington.

  • May 20, 2019, Dr. Alaeddini has been elected as the next president of the Quality Control and Reliability Engineering (QCRE) Division of  the Institute of Industrial and Systems Engineers (IISE)