Joao P Hespanha
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Explore the profile of Joao P Hespanha including associated specialties, affiliations and a list of published articles.
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10
Citations
90
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Recent Articles
1.
Gerson J, Erdal M, Dauphin-Ducharme P, Idili A, Hespanha J, Plaxco K, et al.
Br J Pharmacol
. 2024 Jun;
181(20):3869-3885.
PMID: 38877797
Background And Purpose: The ability to measure specific molecules at multiple sites within the body simultaneously, and with a time resolution of seconds, could greatly advance our understanding of drug...
2.
Gerson J, Erdal M, McDonough M, Ploense K, Dauphin-Ducharme P, Honeywell K, et al.
Sci Adv
. 2023 May;
9(20):eadg3254.
PMID: 37196087
Knowledge of drug concentrations in the brains of behaving subjects remains constrained on a number of dimensions, including poor temporal resolution and lack of real-time data. Here, however, we demonstrate...
3.
Rubio Scola I, Garcia Carrillo L, Hespanha J
IEEE Trans Neural Netw Learn Syst
. 2021 Nov;
34(8):4196-4207.
PMID: 34727040
We introduce a performance-guaranteed limbic system-inspired control (LISIC) strategy for nonlinear multi-agent systems (MASs) with uncertain high-order dynamics and external perturbations, where each agent in the MAS incorporates a LISIC...
4.
Hespanha J, Chinchilla R, Costa R, Erdal M, Yang G
Annu Rev Control
. 2021 Apr;
51:460-476.
PMID: 33850441
We address the prediction of the number of new cases and deaths for the coronavirus disease 2019 (COVID-19) over a future horizon from historical data (forecasting). We use a model-based...
5.
Arroyo-Curras N, Ortega G, Copp D, Ploense K, Plaxco Z, Kippin T, et al.
ACS Pharmacol Transl Sci
. 2020 Mar;
1(2):110-118.
PMID: 32219207
By, in effect, rendering pharmacokinetics an experimentally adjustable parameter, the ability to perform feedback-controlled dosing informed by high-frequency in vivo drug measurements would prove a powerful tool for both pharmacological...
6.
Vamvoudakis K, Miranda M, Hespanha J
IEEE Trans Neural Netw Learn Syst
. 2015 Oct;
27(11):2386-2398.
PMID: 26513810
This paper proposes a control algorithm based on adaptive dynamic programming to solve the infinite-horizon optimal control problem for known deterministic nonlinear systems with saturating actuators and nonquadratic cost functionals....
7.
Melykuti B, Hespanha J, Khammash M
J R Soc Interface
. 2014 Jun;
11(97):20140054.
PMID: 24920118
Many biochemical reaction networks are inherently multiscale in time and in the counts of participating molecular species. A standard technique to treat different time scales in the stochastic kinetics framework...
8.
Roh K, Safaei F, Hespanha J, Proulx S
Evolution
. 2013 Apr;
67(4):1091-104.
PMID: 23550758
Organisms respond to changes in their environment over a wide range of biological and temporal scales. Such phenotypic plasticity can involve developmental, behavioral, physiological, and genetic shifts. The adaptive value...
9.
Singh A, Hespanha J
Philos Trans A Math Phys Eng Sci
. 2010 Oct;
368(1930):4995-5011.
PMID: 20921008
Many protein and mRNA species occur at low molecular counts within cells, and hence are subject to large stochastic fluctuations in copy numbers over time. Development of computationally tractable frameworks...
10.
Singh A, Hespanha J
Biophys J
. 2009 May;
96(10):4013-23.
PMID: 19450473
Autoregulatory feedback loops, where the protein expressed from a gene inhibits or activates its own expression are common gene network motifs within cells. In these networks, stochastic fluctuations in protein...