A5103218398- Gene Regulatory Network Analysis
- Advanced Control Systems Optimization
- Nonlinear Dynamics and Pattern Formation
- Microbial Metabolic Engineering and Bioproduction
- Fault Detection and Control Systems
- Analytical Chemistry and Chromatography
- Pancreatic function and diabetes
- Control Systems and Identification
- Granular flow and fluidized beds
- Mineral Processing and Grinding
- Neural Networks Stability and Synchronization
- Slime Mold and Myxomycetes Research
- Iterative Learning Control Systems
- Viral Infectious Diseases and Gene Expression in Insects
- Light effects on plants
- Network Time Synchronization Technologies
- Bioinformatics and Genomic Networks
- Stress Responses and Cortisol
- Coagulation and Flocculation Studies
- Coral and Marine Ecosystems Studies
- Process Optimization and Integration
- Diabetes Management and Research
- stochastic dynamics and bifurcation
- Energy Efficient Wireless Sensor Networks
- Tryptophan and brain disorders
University of California, Santa Barbara
2007-2016
Harvard University
2016
Santa Barbara City College
2015
Sansum Diabetes Research Institute
2009-2014
University of Delaware
1999-2004
Purdue University West Lafayette
1997-2000
In this two-part Bench to Clinic narrative, recent advances in both the preclinical and clinical aspects of artificial pancreas (AP) development are described. preceding Kudva colleagues provide an in-depth understanding modified glucoregulatory physiology type 1 diabetes that will help refine future AP algorithms. narrative presented here, we compare evaluate technology gain further momentum toward outpatient trials eventual approval for widespread use. We enumerate design objectives,...
An advanced model-based control technique for regulating the blood glucose patients with Type 1 diabetes is presented. The optimal insulin delivery rate obtained off-line as an explicit function of current concentration patient by using novel parametric programming algorithms, developed at Imperial College London. implementation rate, therefore, requires simple evaluation and minimal on-line computations. proposed framework also addresses uncertainty in model due to interpatient intrapatient...
A novel combination of iterative learning control (ILC) and model predictive (MPC), referred to here as (MPILC), is proposed for glycemic in type 1 diabetes mellitus. MPILC exploits two key factors: frequent glucose readings made possible by continuous monitoring technology; the repetitive nature glucose-meal-insulin dynamics with a 24-h cycle. The algorithm can learn from an individual's lifestyle, allowing performance be improved day day. After less than 10 days, blood concentrations kept...
Cortisol, secreted in the adrenal cortex response to stress, is an informative biomarker that distinguishes anxiety disorders such as major depression and post-traumatic stress disorder (PTSD) from normal subjects. Yehuda et al. proposed a hypothesis that, humans, hypersensitive hypothalamus-pituitary-adrenal (HPA) axis responsible for occurrence of differing levels cortisol disorders. Specifically, PTSD subjects have lower during late subjective night comparison subjects, this was assumed...
Abstract Background Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is introduced model identification using available system knowledge and experimental measurements. Results The includes a state regulator algorithm that provides estimates all unknowns (concentrations the components reaction rates their inter-conversion). full information used estimation parameters. optimal...
A benchmark problem is described for the reconstruction and analysis of biochemical networks given sampled experimental data. The growth organisms in a bioreactor which one substrate fed into reactor with feed rate concentration. Measurements some intracellular components are provided representing small network. Problems reverse engineering, parameter estimation, identifiability addressed. contribution mainly focuses on model discrimination. If two or more variants describe available data,...
Synchronization is crucial to wireless sensor networks due their decentralized structure. We propose an energy-efficient pulse-coupled synchronization strategy achieve this goal. The basic idea reduce idle listening by intentionally introducing a large refractory period in the sensors' cooperation. greatly reduces each oscillation period, and analytically proven have no influence on time synchronization. Hence, it significantly total energy consumption process. A topology control approach...
We have used confocal microscopy to analyze the vagal afferent innervation of rat heart. Afferents were labeled by injecting 1,1'-dioleyl-3,3,3',3'-tetramethylindocarbocyanine methanesulfonate (DiI) into nodose ganglia animals with prior supranodose de-efferentations, autonomic stained Fluoro-gold, and tissues examined in whole mounts. Distinctively different fiber specializations observed epi-, myo-, endocardium: epicardium formed complexes associated cardiac ganglia. These consisted four...
We injected the anterograde fluorescent tracer 1,1'-dioleyl-3,3,3',3'-tetramethylindocarbocyanine methanesulfonate (DiI) into dorsal motor nucleus of vagus (DmnX), counterstained cardiac ganglia with Fluorogold (FG), and used confocal microscopy to examine distributions different types DmnX fibers in wholemounts atria. also quantified number axons innervated principal neurons (PNs). Rats unilateral DiI injections were three experiments, including FG soaking cervical vagal trunks,...
The exponential synchronization rate is addressed for Kuramoto oscillators in the presence of a pacemaker. When natural frequencies are identical, we prove that can be ensured even when phases not constrained an open half-circle, which improves existing results literature. We derive lower bound on rate, proven to increasing function pacemaker strength, but may or decreasing local coupling strength. A similar conclusion obtained phase locking non-identical. An approach trapping differences...
Metabolic engineering involves application of recombinant DNA methods to manipulate metabolic networks improve cellular properties. It is critical that the genetic alterations be performed in an optimal manner maximize profit. In addition product yield, productivity consideration also critical, especially for production bulk chemicals such as 1,3-propanediol. this work, we demonstrate it suboptimal from standpoint induce alteration at start process. A bilevel optimization scheme formulated...
Advances in molecular biology provide an opportunity to develop detailed models of biological processes that can be used obtain integrated understanding the system. However, development useful from available knowledge system and experimental observations still remains a daunting task. In this work, model identification strategy for complex networks is proposed. The approach includes state regulator problem (SRP) provides estimates all component concentrations reaction rates network using...