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I. Gary Rosen
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Journal Articles
- 2023
- [j13]Mengsha Yao, Susan E. Luczak, I. Gary Rosen:
Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space. Autom. 147: 110699 (2023) - [j12]Clemens Oszkinat
, Susan E. Luczak, I. G. Rosen
Uncertainty Quantification in Estimating Blood Alcohol Concentration From Transdermal Alcohol Level With Physics-Informed Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(10): 8094-8101 (2023) - 2022
- [j11]Clemens Oszkinat, Susan E. Luczak, I. Gary Rosen
An abstract parabolic system-based physics-informed long short-term memory network for estimating breath alcohol concentration from transdermal alcohol biosensor data. Neural Comput. Appl. 34(21): 18933-18951 (2022) - 2019
- [j10]Melike Sirlanci, Susan E. Luczak, Catharine E. Fairbairn, Dahyeon Kang
Estimating the distribution of random parameters in a diffusion equation forward model for a transdermal alcohol biosensor. Autom. 106: 101-109 (2019) - [j9]Asif Zubair
Bayesian model selection for the Drosophila gap gene network. BMC Bioinform. 20(1): 327:1-327:12 (2019) - 2014
- [j8]I. Gary Rosen, Susan E. Luczak, Jordan Weiss
Blind deconvolution for distributed parameter systems with unbounded input and output and determining blood alcohol concentration from transdermal biosensor data. Appl. Math. Comput. 231: 357-376 (2014) - 2010
- [j7]Anthony F. J. Levi
A Novel Formulation of the Adjoint Method in the Optimal Design of Quantum Electronic Devices. SIAM J. Control. Optim. 48(5): 3191-3223 (2010) - 2008
- [j6]Miguel A. Dumett
Deconvolving an estimate of breath measured blood alcohol concentration from biosensor collected transdermal ethanol data. Appl. Math. Comput. 196(2): 724-743 (2008) - 2002
- [j5]Anupam Madhukar, Tyler Parent, I. Gary Rosen, Chunming Wang:
An Elementary Model for Control of a Semiconductor Etching Process. SIAM Rev. 44(4): 678-695 (2002) - [j4]I. G. Rosen, Tyler Parent, Baris Fidan, Chunming Wang, Anupam Madhukar:
Design, development, and testing of real-time feedback controllers for semiconductor etching processes using in situ spectroscopic ellipsometry sensing. IEEE Trans. Control. Syst. Technol. 10(1): 64-75 (2002) - 2001
- [j3]I. Gary Rosen, Tyler Parent, Carolyn Cooper, Ping Chen, Anupam Madhukar:
A neural-network-based approach to determining a robust process recipe for the plasma-enhanced deposition of silicon nitride thin films. IEEE Trans. Control. Syst. Technol. 9(2): 271-284 (2001) - 1994
- [j2]Michael A. Demetriou
On the persistence of excitation in the adaptive estimation of distributed parameter systems. IEEE Trans. Autom. Control. 39(5): 1117-1123 (1994) - 1988
- [j1]J. S. Gibson, I. G. Rosen:
Approximation of discrete-time LQG compensators for distributed systems with boundary input and unbounded measurement. Autom. 24(4): 517-529 (1988)
Conference and Workshop Papers
- 2023
- [c13]Maria Allayioti, Clemens Oszkinat, Emily Saldich, Larry Goldstein, Susan E. Luczak, Chunming Wang, I. G. Rosen:
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*. ACC 2023: 313-318 - [c12]Haoxing Liu, Larry Goldstein, Susan E. Luczak, I. G. Rosen:
Delta-Method Induced Confidence Bands for a Parameter-Dependent Evolution System with Application to Transdermal Alcohol Concentration Monitoring. CDC 2023: 6211-6216 - 2022
- [c11]Clemens Oszkinat, Susan E. Luczak, I. G. Rosen:
Physics-Informed Learning: Distributed Parameter Systems, Hidden Markov Models, and the Viterbi Algorithm. ACC 2022: 266-271 - 2021
- [c10]Mengsha Yao, Susan E. Luczak, I. G. Rosen:
Linear Quadratic Gaussian Control of Random Abstract Parabolic Systems. CDC 2021: 3306-3311 - 2017
- [c9]Melike Sirlanci, Susan E. Luczak, I. Gary Rosen:
Approximation and convergence in the estimation of random parameters in linear holomorphic semigroups generated by regularly dissipative operators. ACC 2017: 3171-3176 - 2014
- [c8]I. Gary Rosen, Chunming Wang, Weiwei Hu, Michael Hankin, Rongjie Lai, Mark E. Thompson, Stephen R. Forrest
Estimation of parameters in a distributed parameter model for thin film layered organic photovoltaic cells. ACC 2014: 1039-1044 - 2013
- [c7]Susan E. Luczak, I. Gary Rosen, Jordan Weiss:
Determining blood and/or breath alcohol concentration from transdermal alcohol data. ACC 2013: 473-478 - [c6]I. Gary Rosen, Susan E. Luczak, Weiwei Hu, Michael Hankin:
Discrete-Time Blind Deconvolution for Distributed Parameter Systems with Dirichlet Boundary Input and Unbounded Output with Application to a Transdermal Alcohol Biosensor. SIAM Conf. on Control and its Applications 2013: 160-167 - 2005
- [c5]Michael A. Demetriou
Unknown Input Observers for a class of distributed parameter systems. CDC/ECC 2005: 3874-3879 - 2002
- [c4]Michael A. Demetriou
Variable structure model reference adaptive control of parabolic distributed parameter systems. ACC 2002: 4371-4376 - 2001
- [c3]Baris Fidan, I. G. Rosen, Tyler Parent, Anupam Madhukar:
Multi-variable adaptive control of CF4/O2 plasma etching of silicon nitride thin films. ACC 2001: 1280-1285 - [c2]I. Gary Rosen, Color Wang, George Hajj, Xingcan Pi, Brian Wilson:
An adjoint method based approach to data assimilation for a distributed parameter model for the ionosphere. CDC 2001: 4406-4408 - 2000
- [c1]Baris Fidan, Tyler Parent, I. G. Rosen, Anupam Madhukar:
Spectroscopic ellipsometry (SE) based real-time control of CF4 /O2 plasma etching of silicon nitride. ACC 2000: 4006-4010
Coauthor Index
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