Age-Related Changes in a Human Cognitive Mapping System: Data from a Computer-Generated Environment. - Kevin G. F. Thomas; Holly E. Laurance; Susan E. Luczak; W. Jake Jacobs (Cyberpsychology Behav. Soc. Netw., 1999)

Determining blood and/or breath alcohol concentration from transdermal alcohol data. - Susan E. Luczak; I. Gary Rosen; Jordan Weiss (ACC, 2013)

Discrete-Time Blind Deconvolution for Distributed Parameter Systems with Dirichlet Boundary Input and Unbounded Output with Application to a Transdermal Alcohol Biosensor. - I. Gary Rosen; Susan E. Luczak; Weiwei Hu; Michael Hankin (SIAM Conf. on Control and its Applications, 2013)

Blind deconvolution for distributed parameter systems with unbounded input and output and determining blood alcohol concentration from transdermal biosensor data. - I. Gary Rosen; Susan E. Luczak; Jordan Weiss (Appl. Math. Comput., 2014)

Approximation and convergence in the estimation of random parameters in linear holomorphic semigroups generated by regularly dissipative operators. - Melike Sirlanci; Susan E. Luczak; I. Gary Rosen (ACC, 2017)

Estimating the distribution of random parameters in a diffusion equation forward model for a transdermal alcohol biosensor. - Melike Sirlanci; Susan E. Luczak; Catharine E. Fairbairn; Dahyeon Kang; Ruoxi Pan; Xin Yu; I. Gary Rosen (Autom., 2019)

Linear Quadratic Gaussian Control of Random Abstract Parabolic Systems. - Mengsha Yao; Susan E. Luczak; I. G. Rosen (CDC, 2021)

Physics-Informed Learning: Distributed Parameter Systems, Hidden Markov Models, and the Viterbi Algorithm. - Clemens Oszkinat; Susan E. Luczak; I. G. Rosen (ACC, 2022)

An abstract parabolic system-based physics-informed long short-term memory network for estimating breath alcohol concentration from transdermal alcohol biosensor data. - Clemens Oszkinat; Susan E. Luczak; I. Gary Rosen (Neural Comput. Appl., 2022)

Parametric and Non-Parametric Estimation of a Random Diffusion Equation-Based Population Model for Deconvolving Blood/Breath Alcohol Concentration from Transdermal Alcohol Biosensor Data with Uncertainty Quantification*. - Maria Allayioti; Clemens Oszkinat; Emily Saldich; Larry Goldstein; Susan E. Luczak; Chunming Wang; I. G. Rosen (ACC, 2023)

Delta-Method Induced Confidence Bands for a Parameter-Dependent Evolution System with Application to Transdermal Alcohol Concentration Monitoring. - Haoxing Liu; Larry Goldstein; Susan E. Luczak; I. G. Rosen (CDC, 2023)

Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space. - Mengsha Yao; Susan E. Luczak; I. Gary Rosen (Autom., 2023)

Uncertainty Quantification in Estimating Blood Alcohol Concentration From Transdermal Alcohol Level With Physics-Informed Neural Networks. - Clemens Oszkinat; Susan E. Luczak; I. G. Rosen (IEEE Trans. Neural Networks Learn. Syst., 2023)