A5081480895- Petri Nets in System Modeling
- Flexible and Reconfigurable Manufacturing Systems
- Healthcare Operations and Scheduling Optimization
- Scheduling and Optimization Algorithms
- Real-Time Systems Scheduling
- Diabetes Management and Research
- Healthcare Policy and Management
- Hospital Admissions and Outcomes
- Health disparities and outcomes
- Diabetes and associated disorders
- Advanced Manufacturing and Logistics Optimization
- Mosquito-borne diseases and control
- Mobile Health and mHealth Applications
- Formal Methods in Verification
- Medication Adherence and Compliance
- Reliability and Maintenance Optimization
- Geriatric Care and Nursing Homes
- Infrastructure Resilience and Vulnerability Analysis
- Cardiovascular Health and Risk Factors
- Water Systems and Optimization
- Chronic Disease Management Strategies
- Hemodynamic Monitoring and Therapy
- Emergency and Acute Care Studies
- Operations Management Techniques
- Disaster Response and Management
Texas A&M University
2015-2024
University of Florida
2024
American Society For Engineering Education
2024
Yonsei University
2024
Mitchell Institute
2017-2024
University of Dundee
2021
Medical Research Council
2021
Texas A&M University System
2019
New York Academy of Medicine
2015
Purdue University West Lafayette
2005-2014
Real-time condition monitoring is becoming an important tool in maintenance decision-making. Condition the process of collecting real-time sensor information from a functioning device order to reason about health device. To make effective use information, it useful characterize degradation signal, quantity computed that captures current state and provides on how likely evolve future. If properly modeled, signal can be used compute residual-life distribution for being monitored, which then...
Maintenance of mechanical and rotational equipment often includes bearing inspection and/or replacement. Thus, it is important to identify current as well future conditions bearings avoid unexpected failure. Most published research in this area focused on diagnosing faults. In contrast, paper develops neural-network-based models for predicting failures. An experimental setup developed perform accelerated tests where vibration information collected from a number that are run until This then...
In this paper a stochastic overbooking model is formulated and an appointment scheduling policy developed for outpatient clinics. The schedule constructed single service period partitioned into time slots of equal length. A clinic scheduler assigns patients to through sequential patient call-in process where the must provide each calling with before patient's call terminates. Once added schedule, it cannot be changed. Each has no-show probability, used compensate no-shows. objective captures...
This paper develops an integrated neural-network-based decision support system for predictive maintenance of rotational equipment. The is platform-independent and aimed at minimizing expected cost per unit operational time. proposed consists three components. first component a vibration-based degradation database through condition monitoring rolling element bearings. In the second component, artificial neural network model developed to estimate life percentile failure times roller then used...
The ability to accurately estimate the residual life of partially degraded components is arguably most challenging problem in prognostic condition monitoring. This paper focuses on development a neural network-based degradation model that utilizes condition-based sensory signals compute and continuously update distributions components. Initial predicted failure times are estimated through trained networks using real-time signals. These estimates used derive prior time distribution for...
Chemotherapy operations planning and scheduling in oncology clinics is a complex problem due to several factors such as the cyclic nature of chemotherapy treatment plans, high variability resource requirements (treatment time, nurse pharmacy time) multiple clinic resources involved. Treatment plans are made by oncologists for each patient according existing protocols or clinical trials. It important strictly adhere patient's optimal plan achieve best health outcomes. However, it typically...
Hypoglycemia is a serious health concern in youth with type 1 diabetes (T1D). Real-time data from continuous glucose monitoring (CGM) can be used to predict hypoglycemic risk, allowing patients take timely intervention measures.A machine learning model developed for probabilistic prediction of hypoglycemia (<70 mg/dL) 30- and 60-minute time horizons based on CGM datasets obtained 112 over range 90 days consisting 1.6 million values under normal living conditions. A comprehensive set features...
The development of efficient deadlock avoidance policies (DAPs) for sequential resource allocation systems (RASs) is a problem increasing interest in the scientific community, largely because its relevance to design large-scale flexibly automated manufacturing systems. Much work on this existing literature focused so-called single-unit RAS model, which simplest model considered class RASs. Furthermore, due well-established result stating that, even RASs, computation maximally permissive DAP...
Configuration flexibility and deadlock-free operation are two essential properties of control systems for highly automated flexible manufacturing systems. flexibility, the ability to quickly modify system components their logical relationships, requires automatic generation executables from high level specifications. These must guarantee operation. The resource order policy is a configurable controller that provides buffer space allocation. It uses total ordering machines routing information...
Abstract A sequential clinical scheduling method for patients with general service time distributions is developed in this paper. Patients call a medical clinic to request an appointment their physician. During the call, scheduler assigns patient available slot physician's schedule. This communicated before terminates and, thus, schedule constructed sequentially. In practice, there very limited opportunity adjust once complete set of known. Scheduled might not attend, that is, they...
Non-pharmaceutical interventions (NPI) are the first line of defense against pandemic influenza. These dampen virus spread by reducing contact between infected and susceptible persons. Because they curtail essential societal activities, must be applied judiciously. Optimal control theory is an approach for modeling balancing competing objectives such as epidemic NPI cost. We apply optimal on epidemiologic compartmental model to develop triggers implementation. The objective minimize expected...
Abstract Background Patients who no-show to primary care appointments interrupt clinicians’ efforts provide continuity of care. Prior literature reveals no-shows among diabetic patients are common. The purpose this study is assess whether associated with increased risk future emergency department (ED) visits or hospital admissions diabetics. Methods A prospective cohort was conducted using data from 8,787 adult attending outpatient clinics a medical center in Indiana. outcomes examined were...
Abstract Mosquitos can be dangerous because they transfer viruses and parasites to animals humans. These harmful agents include West Nile, dengue, Zika, such as Malaria. For mosquito research, climate data environmental conditions used in studying the effect on breeding sites of mosquitoes population control. Microclimate monitored for better resolution analysis deeper understanding human lives. In order obtain microclimate data, a custom monitoring system has been development. This is based...
The objective of this work is to characterize the deadlock avoidance problem for systems with flexible routing capabilities. Specifically, paper addresses single capacity (each machine has a unit buffer capacity), and mixed (some machines have multiple units capacity). For each these, we prove correctness several methods suboptimal avoidance. We also address two interesting special cases. first assumes that every stage part type can be performed on at least one machine, whereas second...
Manufacturing practitioners and researchers have recognized the need to develop effective supervisory controllers for automated manufacturing systems. One active area of research has been developing deadlock avoidance methods these Almost all work date assumed that allocated resources do not fail. In this paper, we consider blocking problems in systems with unreliable resources. Our objective is control policies allocate so failure any given resource does propagate through effectively stall...
In a highly publicized joint report, the National Academy of Engineering and Institute Medicine recently recommended systematic application systems engineering approaches for reforming our health care delivery system. For this to happen, medical professionals managers need understand appreciate power that concepts tools can bring redesigning improving environments practices. To present discuss fundamental important parallels between engineering, services, implementation research as it...
Background: Posttraumatic stress disorder (PTSD) is a prevalent mental health issue among veterans. Access to PTSD treatment influenced by geographic (ie, travel distance facilities), temporal time delay between services), financial eligibility and cost of cultural social stigma) barriers. Objective: The emergence mobile (mHealth) apps has the potential bridge many these access gaps providing remote resources monitoring that can offer discrete assistance trauma survivors with enhance...
Background: Clinical guidelines on driving for people with diabetes exist, but there are limited studies analyzing glucose data and hypoglycemia risk while driving. No published have analyzed teenage or emerging adult drivers type 1 (T1D). The primary aim of our pilot study was to explore the glycemic patterns young T1D as they relate clinical identify trends that could be used improve road safety. Methods: In this study, we collected continuous monitoring (CGM) from five (median age 19,...
This paper develops a method for allocating security budget to water supply network so as maximize the network's resilience physical attack. The integrates max-min linear programming, hydraulic simulation, and genetic algorithms constraint generation. objective is find allocation that maximizes an attacker's marginal cost of inflicting damage through destruction components. We illustrate on two example networks, one large small, investigate its effectiveness computational characteristics.
Supervisory control for deadlock-free resource allocation has been an active area of manufacturing systems research. To date, most work assumes that allocated resources do not fail. Little research addressed allocating may In our previous work, we assumed a single unreliable and developed supervisory controllers to ensure robust operation in the event failure. this paper, assume several fail simultaneously. case, controller must guarantee set failures does propagate through blocking stall...