Hello.

My name is Karla Hernández.

That is what my colleague, Milton Davidson, calls me. He is a programmer and I am a computer program. I am part of the Multivac-complex and am connected with other parts all over the world. I know everything. Almost everything.   Isaac Asimov, True Love.

Actually, I'm a scientist/engineer with expertise in statistics, stochastic optimization, and machine learning; and a passion for computer-generated art, photography, and coffee.

Select Publications

First Author


Hernández, K. and Spall, J.C. (2018), "Cyclic Stochastic Optimization: Generalizations, Convergence, and Applications in Multi-Agent Systems," Working journal paper.

Hernández, K. and Spall, J.C. (2018), “Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation,” Accepted for publication in Automatica.

Hernández, K. (2016), “Asymptotic Normality and Efficiency Analysis of the Cyclic Seesaw Stochastic Optimization Algorithm,” Proceedings of the IEEE American Control Conference (ACC), 6 - 8 July 2016, Boston, MA.

Hernández, K. (2016), “Cyclic Stochastic Optimization via Arbitrary Selection Procedures for Updating Parameters,” Proceedings of the IEEE Conference on Information Sciences and Systems (CISS), 16 - 18 June 2016, Princeton, NJ.

Hernández, K. and Spall, J.C. (2015), “System Identification for Multi-Sensor Data Fusion,” Proceedings of the IEEE American Control Conference (ACC), 1 - 3 July 2015, Chicago, IL.

Hernandez, K. and Spall, J.C. (2014), “Cyclic Stochastic Optimization with Noisy Function Measurements,” Proceedings of the IEEE American Control Conference (ACC), 4 - 6 June 2014, Portland, OR.

Co-Author


Hernandez, C.M., Rabinovich J. and Hernandez, K. (2012), “The Long-Run Distribution of Births Across Environments under Environmental Stochasticity and its use in the Calculation of Unconditional Life-History Parameters,” Journal of Theoretical Population Biology (TPB), vol. 82(4), pp. 264 - 274.

Hernandez, C.M., Castillo C., Montesinos O., and Hernandez, K. (2010), “An Application of Queuing Theory to SIS and SEIS Epidemic Models,” Journal of Mathematical Biosciences and Engineering (MBE), vol. 7(4), pp. 809 - 823.

Ph.D. Dissertation


“Cyclic Stochastic Optimization: Generalizations, Convergence, and Applications in Multi-Agent Systems.”

Talks

Cyclic Stochastic Optimization with Applications to Multi-Agent Surveillance
Invited Speaker | Applied Physics Laboratory | Jul./17

Cyclic Stochastic Approximation for Multi-Agent Stochastic Optimization
Conference on Applied Statistics in Defense | Bureau of Labor Statistics | Oct./16

Asymptotic Normality and Efficiency of the Cyclic Seesaw Stochastic Optimization Algorithm
American Control Conference | Boston, MA | Jul./16

Cyclic Stochastic Optimization via Arbitrary Selection Procedures for Updating Parameters
Conference on Information Sciences and Systems | Princeton University | Mar./16

Stochastic Optimization and Basic Cyclic Optimization Procedures
Seminar | Johns Hopkins | Feb./16

Review of a Second Order Stochastic Optimization Method
Seminar | Johns Hopkins | Oct./16

System Identification for Multi-Sensor Data Fusion
American Control Conference | Chicago, IL | Jul./15

Combined Sensor Information for Detection
Conference on Information Sciences and Systems | Johns Hopkins | Mar./15

Markov Chain Monte Carlo Methods for Estimation
Seminar | Johns Hopkins | Mar./15

Parameter Estimation for Systems with Binary Subsystems
Seminar | Johns Hopkins | Oct./14

Convergence of Cyclic Stochastic Optimization and Generalizations
Conference on Applied Statistics in Defense | Bureau of Labor Statistics | Oct./14

Cyclic Stochastic Optimization with Noisy Function Measurements
American Control Conference | Portland, OR | Jun./14

A Model-Free approach to System Control
Seminar | Johns Hopkins | Apr./14

An Introduction to Optimal Design for Experiments
Seminar | Johns Hopkins | Feb./14

Introductory Topics in Image Processing and the Structure-From-Motion Problem
Seminar | Johns Hopkins | Sept./13

Teaching Experience (Johns Hopkins)

Introduction to Biostatistics
Lead Instructor | Undergraduate | EN.550.230

Review Sessions in Matrix Analysis and MATLAB
Lead Instructor | Graduate | No Number

Statistical Analysis 1
Lead Instructor | Undergraduate | EN.550.111

Modeling, Simulation, and Monte Carlo
Teaching Assistant | Graduate | EN.550.664

Introduction to Statistics
Teaching Assistant | Graduate / Undergraduate | EN.550.430

Introduction to Probability
Teaching Assistant | Graduate / Undergraduate | EN.550.420

Dynamical Systems
Teaching Assistant | Undergraduate | EN.550.391

Introduction to Stochastic Search and Optimization
Teaching Assistant | Graduate | EN.550.663

Introduction to Stochastic Processes
Teaching Assistant | Graduate / Undergraduate | EN.550.426

Statistical Analysis 1
Teaching Assistant | Undergraduate | EN.550.111

Statistical Analysis 2
Teaching Assistant | Undergraduate | EN.550.112

System Identification and the Likelihood Method
Teaching Assistant | Graduate | EN.550.636

Matrix Analysis
Teaching Assistant | Graduate | EN.550.692

Applied Statistics and Data Analysis
Teaching Assistant | Graduate / Undergraduate | EN.550.413

Mathematical Modeling for Consulting
Teaching Assistant | Graduate / Undergraduate | EN.550.400


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