Publications

  1. Tuo, R., He, S., Pourhabib, A., Ding, Y. and Huang, J. Z., A reproducing kernel Hilbert space approach to functional calibration of computer models, Journal of the American Statistical Association, 118(542), 883-897, 2023.
  2. Farmanesh, B., Pourhabib, A., Balasundaram, B., and Buchanan, A., A Bayesian framework for functional calibration of expensive computational models through non-isometric matching, IISE Transactions, 53(3), 352-364, 2021.
  3. Farmanesh, B. and Pourhabib, A., Sparse pseudo-input local Kriging for large spatial datasets with exogenous variables, IISE Transactions, 52(3), 334-348, 2020.
  4. Pourhabib, A., Empirical similarity for absent data generation in imbalanced classification, Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, 69, 1010-1030, 2020.
  5. Majlesinasab, N., Yousefian, F. and Pourhabib, A., Self-tuned mirror descent schemes for smooth and nonsmooth high-dimensional stochastic optimization, IEEE Transactions on Automatic Control, 64 (10), 4377-4384, 2019.
  6. Ezzat, A. A., Pourhabib, A. and Ding, Y., Sequential design for functional calibration of computer models, Technometrics, 60(3), 286-296, 2018.
  7. Pourhabib, A., Huang, J. Z. and Ding, Y., Short-term wind speed forecast using measurements from multiple turbines in a wind farm, Technometrics, 58(1), 138-147, 2016.
  8. Montazeri Shahtori, N., Scoglio, C., Pourhabib, A., and Darabi Sahneh, F., Sequential Monte Carlo filtering estimation of Ebola progression in West Africa, American Control Conference (ACC), 1277-1282, 2016.
  9. Pourhabib, A., Mallick, B. K. and Ding, Y., Absent data generating classifier for imbalanced class sizes, The Journal of Machine Learning Research, 16, 2695-2724, 2015.
  10. Pourhabib, A., Huang, J. Z., Wang, K., Zhang, C., Wang, B. and Ding, Y., Modulus prediction of Buckypaper based on multi fidelity analysis involving latent variables, IIE Transactions. 47 (2), 141-152, 2015.
  11. Pourhabib, A., Liang, F. and Ding, Y., Bayesian site selection for fast Gaussian process regression, IIE Transactions, 46 (5), 543-555, 2014.
  12. Kianfar, K., Pourhabib, A. and Ding Y., An integer programming approach for analyzing the measurement redundancy in structured linear systems, IEEE Transactions on Automation Science and Engineering, 8(2), 447-450, 2011.