A5043054071- Healthcare Operations and Scheduling Optimization
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Advanced Manufacturing and Logistics Optimization
- Optimal Power Flow Distribution
- Assembly Line Balancing Optimization
- Scheduling and Optimization Algorithms
- Cardiac, Anesthesia and Surgical Outcomes
- Vehicle Routing Optimization Methods
- Forest Biomass Utilization and Management
- Manufacturing Process and Optimization
- Misinformation and Its Impacts
- Mental Health via Writing
- Emergency and Acute Care Studies
- Artificial Intelligence in Healthcare
- Risk and Safety Analysis
- Digital Mental Health Interventions
- BIM and Construction Integration
- Medical Coding and Health Information
- Hemodynamic Monitoring and Therapy
- Environmental Impact and Sustainability
- Sentiment Analysis and Opinion Mining
- Sustainable Supply Chain Management
- Health Literacy and Information Accessibility
- Colorectal Cancer Surgical Treatments
Binghamton University
2018-2024
The University of Texas at El Paso
2020-2022
IBM Research - Thomas J. Watson Research Center
2019
Clemson University
2017
Los Alamos National Laboratory
2016
Energy supply in rural and off-grid communities has traditionally relied on diesel-based microgrids, due to limited access. But global environmental concerns are pushing for the transformation of these systems into renewable-based microgrids. This transition more complex with a mix dispatchable nondispatchable resources requires new planning tools that ensure security supply. paper presents novel mixed-integer linear optimization model determines optimal technology mix, size, placement,...
Over the past century electric power industry has evolved to support delivery of over long distances with highly interconnected transmission systems. Despite this evolution, some remote communities are not connected these These rely on small, disconnected distribution systems, i.e., microgrids deliver power. However, as often held same reliability standards grids, can be at risk for extended blackouts. To address issue, we develop an optimization model and algorithm capacity planning...
Renewable energy has been a worldwide interest due to growing demand as well mounting concern over the hostile impacts from traditional fuels. One of direction for future renewable is use biofuel. In this research, we initially apply K-means algorithm evaluate possible locations collection sites at upstream biofuel supply chain. Next, propose multi-objective vehicle routing problem model, in which flexible time windows are synchronized model. Additionally, our integrated model evaluates...
This manuscript presents a method to design automotive production assembly lines that integrate lean manufacturing approaches and line balancing algorithms. In this work, we develop clustering algorithm task mutuality index for the tasks redesign rebalance an with fixed layout machinery. Moreover, consider product demand variability introduction of new models. paper describes current future states engines using quantitative performance parameters content flow charting, along analysis results...
Cancelled surgeries cause insufficient use of operating rooms, surgeons, nurses, equipment and other hospital resources. Operating rooms are one the most expensive resources in any healthcare system. The average amount cost for room a less complex procedure is around $29/min, while more procedures up to $80/min. Many studies have been conducted analyze understand reasons behind surgery cancellation; however, handful aimed predict which patients large risk cancellation. We used four different...
Background: Post-operative infections have many negative consequences for patients' health and the healthcare system. Among other things, they increase recovery time risk of re-admission. Also, infection results in penalties hospitals decreases quality performance measures. Surgeons can take preventive actions if identify high-risk patients. The purpose this study was to develop a model help predict those patients at post-operative infection. Methods: A retrospective analysis conducted on...
Biofuel energy has recently been used as a substitute for fossil fuels due to an increasing demand and concern environmental impact around the globe. Biomass, in particular, is key type of biofuel source Thailand that interest national renewable plan. In this research, we use integrated K-means Rectilinear Minisum Location model evaluate wood collection site problem using actual case study Northern part Thailand. Initially, classification method classify group farmers growing fast-growing...
The healthcare sector constantly investigates ways to improve patient outcomes and provide more patient-centered care. Delivering quality medical care involves ensuring that patients have a positive experience. Most organizations use survey feedback measure patients’ experiences. However, the power of social media can be harnessed using artificial intelligence machine learning techniques researchers with valuable insights into understanding experience Our primary research objective is...
Abstract Purpose The healthcare sector constantly investigates ways to improve patient outcomes and provide more patient-centered care. Delivering quality medical care involves ensuring that patients have a positive experience. Most organizations use survey feedback, such as HCAHPS, measure patients' experiences. power of social media can be harnessed using artificial intelligence machine learning techniques researchers with valuable insights into understanding experience Our primary...
Power distribution in remote communities often depends on off-grid microgrids. In order to address the reliability challenges for these microgrids, we develop a mathematical model topology design, capacity planning, and operation of distributed energy resources microgrids that includes N-1 security analysis. Due prohibitive size optimization problem, rolling-horizon algorithm is combined with scenario-based decomposition efficiently solve model. We demonstrate efficiency our an adapted IEEE...
The essential indicators for good-quality care in primary practices are providing prompt access and continuity of care. But the growing population decreasing number physicians entering adult have increased already large panel size physicians. Physician affects care, overflow frequency, physician utilization, which is ratio assigned appointments to a physician’s capacity. This research proposes mathematical model that optimizes maximize minimize improve utilization. study compares effect...