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Dr. Diamanta Benson-Karhi, Senior Lecturer

Diamanta Benson-Karhi
Contact Info

The Open University of Israel Department of Mathematics and Computer Science 1 University Road, P.O.B. 808 Ra’anana 4353701, Israel
Office:972-9-7781936 Email:diamanta@openu.ac.il

Additional Information

My CRIS profile

Areas of Interest
  • Statistical Process Control (SPC)
  • Measurements
  • Reliability and maintenance
  • Statistical modeling
  • Work study

Dr. Diamanta Benson-Karhi is a senior lecturer at the Department of Mathematics and Computer Science at the Open University of Israel. Dr. Benson-Karhi is the head of the Industrial Engineering and Management program.

Her main background is in industrial engineering with expertise in innovative applied statistics tools, specifically statistical process control (SPC) methodologies. Her research includes original theoretical developments and unique applications in a wide range of disciplines, such as chemical engineering and medical/health fields.
 

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Shulga, D., Silber-Varod, V., Benson-Karhi, D., Levi, O., Vashdi, A. and Lerner, A.; Toward Explainable Automatic Classification of Children’s Speech Disorders; Proceedings of the 22nd International Conference on Speech and Computer (Published in Springer); 2020. 

Campisi-Pinto, S., Levi, O., Benson-Karhi, D., Cohen, M., ResendeS, MT., Saunders, M., Linder, C. and Wiesman, Z.; Simulation-Based Sensitivity Analysis of Regularization Parameters for Robust Reconstruction of Complex Material’s T1 − T21H LF-NMR Energy Relaxation Signals, Applied Magnetic Resonance; 51:3; 2019

Campisi-Pinto, S., Levi, O., Benson-Karhi, D., Cohen, M., Resende, MT., Saunders, M., Linder, C. and Wiesman, Z.; Analysis of the Regularization Parameters of Primal–Dual Interior Method for Convex Objectives Applied to 1H Low Field Nuclear Magnetic Resonance Data processing; Applied Magnetic Resonance; 2018; 1-22

Benson-Karhi, D., Shore, H. and Malamud, M.; Modeling Fetal Growth with Response Modeling Methodology (RMM); Communications in Statistics - Simulation and Computation; 47; 2017; 129-142. 

Regev, I. and Benson-Karhi, D.; Segmentation of the Expected Duration of Maintenance Activities in Semiconductor Fabs; IEEE Transactions on Semiconductor Manufacturing; 29:3; 2016; 223-229

Benson-Karhi, D., Dvir, E., Regev, I. and Schechtman, E.; Using Measurements with Large Round-Off Errors for Interval Estimation of Normal Process Variance; IET Science, Measurement and Technology; 9:8; 2015; 1050-1056. 

Shore, H., Benson-Karhi, D., Malamud, M. and Bashiri, A.; Customized Fetal Growth Modeling and Monitoring – A Statistical Process Control Approach; Quality Engineering; 26:3; 2014; 290-310

Benson-Karhi, D., Dvir, E., Regev, I. and Schechtman, E.; Estimation of a Normal Process Variance from Measurements with Large Round-Off Errors; IET Science, Measurement and Technology; 7; 2013; 180-189

Shore, H. and Benson-Karhi, D.; Modeling Temperature-Dependent Properties of Oxygen, Argon and Nitrogen via RMM; Industrial and Engineering Chemistry Research; 49; 2010; 9469-9485

Shacham, M., Brauner, N., Shore, H. and Benson-Karhi, D.; Predicting Temperature-Dependent Properties by Correlations Based on Similarity of Molecular Structures: Application to Liquid Density; Journal of Industrial and Engineering Chemistry; 47; 2008; 4496-4504

Benson-Karhi, D., Shore, H. and Shacham, M.; Modeling Temperature-Dependent Properties of Water via Response Modeling Methodology (RMM) and Comparison with Acceptable Models; Journal of Industrial and Engineering Chemistry; 46; 2007; 3446-3463

Shore, H. and Benson-Karhi, D.; Forecasting S-shaped diffusion processes via response modeling methodology; Journal of Operational Research Society; 58; 2006;  720-728

Benson-Karhi, D., Shore, H. and Shacham, M.; Applying Response Modeling Methodology to Model Temperature-Dependency of Vapor Pressure; Lecture Series on Computer and Computational Sciences; 4; 2005; 835-838