Publications (I have had more than 90 peer reviewed publications) . This is a sample of my publications:
Gene Golub and Kourosh Modarresi, “Adaptive Regularization using Variable Regularization Parameters”, The Second International Conference on Scientific Computing and Partial Differential Equations & The First East Asia SIAM Symposium (SCPDE05), Lam Woo Conference center, Hong Kong Baptist University, Hong Kong, December 12-16, 2005.
D B Clayton, S Skare, G H Golub, K Modarresi and R Bammer, “Augmented SENSE Reconstruction by an Improved Regularization Approach”, Proc Int Soc Mag Res Med 13th Ann Meet, 2005.
Gene Golub and Kourosh Modarresi, “Local Regularization using Bidiagonalization Decomposition”, Technical Report, December, Stanford University, Stanford, CA, 2005.
Kourosh Modarresi and Gene H Golub, “Local Regularization Method Using Variable Regularization Levels”, Proceedings of Fifth International Conference on Scientific Computing and Applications(SCA), Banff, Alberta, Canada, May 2006.
Kourosh Modarresi and Gene H. Golub, “A Varying Smoothing Approach to the Solution of Inverse Problems”, Proceedings of Comsol Conference, Las Vegas, NV, October 26-27, 2006.
Kourosh Modarresi, “Outlines of Non-Classical Tikhonov Method”, Workshop on Algorithms for Modern Massive Data Sets (MMDS) - poster, Stanford, USA, June 21-24, 2006.
Kourosh Modarresi and Gene H. Golub, “A Variable Regularization Approach in the Solution of Ill-Posed problems”, Proceedings of Mathematical Association of America (MAA) Meeting, West Chester University of Pennsylvania, WEST Chester, PA, October 28, 2006.
Kourosh Modarresi and Gene Golub, “Multiparameter Tikhonov Regularization Formulation for Linear Inverse Problems”, Proceedings of 13th Conference of “International Linear Algebra Society (ILAS)”, Amsterdam, The Netherlands, July 18-21, 2006.
Kourosh Modarresi, “Computation of Implied Volatility Function Using Tikhonov Regularization Method”, Technical Report, , Stanford, CA, March 2006.
Kourosh Modarresi and Gene H Golub, “A Local Regularization Method for the Solution of Fredholm Integral Equation of the First Kind”, Proceedings of SIAM Conference on Computational Science & Engineering (CSE07), Costa Mesa, CA, February 19-23, 2007.
Kourosh Modarresi and Gene H Golub, “General Approach for the Numerical Solution of Inverse Problems”, Proceedings of SIAM Conference on Computational Science & Engineering (CSE07), Costa Mesa, CA, February 19-23, 2007.
Kourosh Modarresi and Gene H Golub, “Using Multiple Generalized Cross-Validation as a Method for Varying Smoothing Effects”, Proceedings of SIAM Workshop on Combinatorial Scientific Computing (CSC07), Costa Mesa, CA, February 19-23, 2007.
Kourosh Modarresi and Gene H Golub, “An Efficient Algorithm for The Determination of Multiple Regularization Parameters”, Proceedings of Inverse Problems Design and Optimization Symposium (IPDO2007), Miami Beach, FL, April 16-18, 2007.
Kourosh Modarresi, “Mathematical Analysis of Smart Grids Using Randomized Algorithms”, Proceedings of SIAM Minisymposium on Economics and Sustainability San Francisco, California, 2009.
Kourosh Modarresi, “Mathematical Challenges in "Modern Data” Analysis”, Proceedings of American Mathematical Society (AMS), Riverside, California meeting, November 02, 2013.
Kourosh Modarresi, “Unsupervised Feature Extraction using Singular Value Decomposition”, Procedia Computer Science, Elsevier, 51C, (2015).
Kourosh Modarresi, “Computation of Recommender System using Localized Regularization”, Procedia Computer Science, Elsevier, 51C, (2015).
Kourosh Modarresi, “Recommendation System Based on Complete Personalization”, Procedia Computer Science, Elsevier, 80C, 2016.
Kourosh Modarresi, “Algorithmic Approach for Learning a Comprehensive View of Online Users”, Procedia Computer Science, Elsevier, 80C, 2016.
Kourosh Modarresi, Khashayar Khosravi, “Finding the Winner of a Hypothesis Test via Sample Allocation Optimization”, Procedia Computer Science, Elsevier, Procedia Computer Science, Volume 108, 2017, Pages 1040-1049, June 2017.
Kourosh Modarresi with Pradeep Javangula, Paresh Shenoy, Yi Liu, Aran Nayebi“Efficient Hybrid Algorithms for Computing Clusters Overlap”, Procedia Computer Science, Elsevier, Volume 108, 2017, Pages 1050–1059, June 2017.
Kourosh Modarresi with Abdurrahman Munir, “Generalized Variable Conversion Using K-means Clustering and Web Scraping”, Journal of Computational Science , vol 10861. Springer, Cham, pp 247-258, 2018.
Kourosh Modarresi with Abdurrahman Munir, “Standardization of Featureless Variables for Machine Learning Models Using Natural Language”, Journal of Computational Science Lecture Notes in Computer Science, vol 10861. Springer, Cham, pp 234-246, 2018.
Kourosh Modarresi with Jamie Diner, “An Efficient Deep Learning Model for Recommender Systems”, Journal of Computational Science, Lecture Notes in Computer Science, vol 10861. Springer, Cham, pp 221-233, 2018.
Kourosh Modarresi with Michael Burkhart, “Adaptive Objective Functions and Distance Metrics for Recommendation Systems”, Computational Science, Springer Lecture Notes in Computer Science (LNCS) Series, June, 2019.
Kourosh Modarresi, “Detecting Most Insightful Parts of Documents Using a Regularized Attention-Based Model “, Selected as best paper for Special Issue of Journal of Computational Science, pp 272- 281, Springer Nature, Part III, LNCS 12139, July 2020.